Uncommon Descent Serving The Intelligent Design Community

Double debunking: Glenn Williamson on human-chimp DNA similarity and genes unique to human beings

Share
Facebook
Twitter
LinkedIn
Flipboard
Print
Email

Computer programmer Glenn Williamson now claims that ICR geneticist Jeff Tomkins made an elementary error when using the nucmer program to show that human and chimp DNA are only 88% similar. Williamson also asserts that 60 de novo protein coding genes said to be unique to human beings have very similar counterparts in apes, contrary to claims made last year by Dr. Cornelius Hunter, who is an adjunct professor of biophysics at Biola University.

What Dr. Tomkins allegedly got wrong

As readers of my recent post, Human and chimp DNA: They really are about 98% similar, will recall, Glenn Williamson demolished Dr. Tomkins’s original claim, made back in 2013, that human and chimp DNA are only about 70% similar. Williamson’s detailed takedown of Dr. Tomkins’s 70% similarity figure can be accessed here. In short: the version of the BLAST computer algorithm used by Tomkins contained a bug which invalidated his results. Dr. Tomkins responded by performing a new study which came up with a similarity figure of 88% – still far below the 98% similarity figure commonly claimed in textbooks for human and chimp DNA. Tomkins arrived at that figure by using a version of the BLAST algorithm which did not contain the bug, and in my last post, I pointed out the errors identified by Glenn Williamson in Dr. Tomkins’ new paper, relating to BLAST.

But to give credit where credit is due, Dr. Tomkins didn’t rely on just one computer program to come up with his 88% figure; he relied on three. In addition to BLAST, Dr. Tomkins made use of two other programs: nucmer and LASTZ. Creation scientist Jay Wile described these programs in a recent post discussing Dr. Tomkins’ work:

The nucmer program’s results agreed with the unbugged BLAST results: on average the human and chimpanzee genomes are 88% similar. The LASTZ program produced a lower average similarity (73%), which indicates that perhaps LASTZ has a bug or is not optimized for such comparisons, since its results are very close to the results Dr. Tomkins got with the bugged version of BLAST.

In today’s post, I’ll discuss the flaws identified by Glenn Williamson in Dr. Tomkins’s comparisons that were made using the nucmer program.

Basic methodological errors?

As we saw in yesterday’s post on Uncommon Descent, Glenn Williamson claims that Dr. Tomkins’s new study makes some fundamental errors in the way it performs the BLASTN analysis. Now, however, Williamson has gone further, and identified some very basic errors in the way Dr. Tomkins obtained his results from the nucmer program. What Williamson has shown is that even when human chromosome 20 is compared with itself, the calculation method used by Dr. Tomkins when running the “nucmer” program would imply (absurdly) that it is less than 90% similar to itself!

I have been in email correspondence with Glenn Williamson over the past 24 hours, and he kindly allowed me to publish his responses, as well as some emails he sent to Dr. Tomkins. Here’s an excerpt from his first email to me.

Hi Vincent,

I’ve only just seen your post on UD, and I thought I’d fill you in on where we are at with one of the other comparisons (“nucmer”) Jeff did in his recent paper. Basically what he is doing in this comparison is taking every single alignment for each query sequence (as opposed to taking just the best alignment) and taking the average of all those. Obviously all the repeat motifs will find many matches across each chromosome, but only one of those will be (putatively) homologous. If you can follow the email thread from the bottom, hopefully you can understand the issue.

I’m currently running a nucmer job with human chromosome 20 being compared to itself, just to show the absurdity of his calculation method. I should have the results by tomorrow.

I subsequently emailed him, and asked if he could tell me about the results:

I would greatly appreciate it if you would let me know about your results, after you finish running your nucmer job. I was also wondering if you would allow me to quote excepts from your correspondence in a forthcoming post on UD.

Glenn Williamson replied:

Hey,

Yup, no problems quoting any of the emails…

The first nucmer job I ran took 37 hours (human 20 to chimp 20), and this current “control” job (human 20 to human 20) has taken 37 hours as of right now, so it should finish soon. It will take a couple of hours to put all the results together, so should have something by tonight.

It wasn’t long before I heard from Glenn Williamson again:

It’s done!

And human chromosome 20 is only 88.86% identical to human chromosome 20! 🙂

Unix commands, if you care:

awk ‘NR>5 { print $7″\t”$8″\t”$10 }’ control.coords > control.tab
awk ‘{ sum += ($1 + $2) / 2; prod += ($1 + $2) / 2 * $3 } END { print prod; print sum; print prod / sum }’ control.tab

Output:

1.71549e+09
1.52439e+11
88.8601

So basically the alignments covered 1.715Gb for a chromosome that is only 64Mb long (27x coverage). There were 4.8 million individual alignments …

So there we have it. If Dr. Tomkins is right, then not only is chimpanzee DNA only 88% similar to our own, but human DNA is only 89% similar to itself!

Do human beings really have 60 de novo protein-coding genes with no counterparts in apes?

But there was more – much more. In my original email to Glenn Williamson, I had expressed curiosity over a comment he made on a January 2014 post titled, Chinese Researchers Demolish Evolutionary Pseudo-Science, over at Dr. Cornelius Hunter’s Website, Darwin’s God, in which Williamson expressed skepticism over Dr. Hunter’s claim that no less than 60 protein-coding orphan genes had been identified in human DNA which had no counterpart in chimpanzees. To support his claim, Dr. Hunter cited a 2011 PLOS study by Dong-Dong Wu, David M. Irwin and Ya-Ping Zhang, titled De Novo Origin of Human Protein-Coding Genes. Here is the authors’ summary of their paper (emphases mine – VJT):

The origin of genes can involve mechanisms such as gene duplication, exon shuffling, retroposition, mobile elements, lateral gene transfer, gene fusion/fission, and de novo origination. However, de novo origin, which means genes originate from a non-coding DNA region, is considered to be a very rare occurrence. Here we identify 60 new protein-coding genes that originated de novo on the human lineage since divergence from the chimpanzee, supported by both transcriptional and proteomic evidence. It is inconsistent with the traditional view that the de novo origin of new genes is rare. RNA–seq data indicate that these de novo originated genes have their highest expression in the cerebral cortex and testes, suggesting these genes may contribute to phenotypic traits that are unique to humans, such as development of cognitive ability. Therefore, the importance of de novo origination needs greater appreciation.

Commenting on the paper, Dr. Hunter remarked (bold emphases mine – VJT):

A 2011 paper out of China and Canada, for example, found 60 protein-coding genes in humans that are not in the chimp. And that was an extremely conservative estimate. They actually found evidence for far more such genes, but used conservative filters to arrive at 60 unique genes. Not surprisingly, the research also found evidence of function, for these genes, that may be unique to humans.

If the proteins encoded by these genes are anything like most proteins, then this finding would be another major problem for evolutionary theory. Aside from rebuking the evolutionist’s view that the human-chimp genome differences must be minor, 6 million years simply would not be enough time to evolve these genes.

In fact, 6 billion years would not be enough time. The evolution of a single new protein, even by evolutionists’ incredibly optimistic assumptions, is astronomically unlikely, even given the entire age of the universe to work on the problem.

Note the claim that Dr. Hunter is making here: “60 protein-coding genes in humans that are not in the chimp.” But as we’ll see, these genes do have virtually identical counterparts in chimps, even if they are noncoding.

So, how many ORFan genes do humans really have?

In his comment, Glenn Williamson responded to Dr. Hunter’s claim that humans have 60 protein-coding genes that are “not in the chimp” by pointing out that the first of these 60-odd genes actually has a counterpart in chimpanzee DNA which is 98% identical to the human gene (emphasis mine – VJT):

“So how many ORFan genes are actually in humans???”

Depends what you call an ORFan gene. I looked at the paper that Cornelius cites as having 60 de novo protein coding genes.

Now, granted that I only looked at the very first one (“ZNF843”), it was quite easy to find the corresponding DNA on the chimpanzee chromosome, with approximately 98.5% identity.

So whether it is protein-coding in humans and non-coding in everything else doesn’t really concern me. What concerns me is whether it has an evolutionary history: clearly this one does.

Like I said, I’ve only done one. I’d happily take bets on the majority of these de novo genes having an evolutionary history (chimpanzee > 95% and/or gorilla > 90%).

Any takers?

I had only come across this exchange in the last couple of days, while surfing the Net, and my curiosity was piqued. So I wrote back to Williamson:

By the way, I was intrigued with your work on orphan genes, and I thought I’d have a look at the 60 genes mentioned by Cornelius Hunter in a post he wrote last year. However, I don’t have any experience in this area. Can you tell me how to go about running these comparisons?

Orphan genes – did Dr. Hunter get his facts wrong?

Glenn Williamson’s reply was very helpful – and it pulled no punches. He accused Dr. Hunter of getting his facts wrong about ORFan genes (emphasis mine – VJT):

As for Orphan genes, I assume you mean this comment? http://darwins-god.blogspot.com.au/2014/01/chinese-researchers-demolish.html?showComment=1421299517820#c1105680265537141676

There are a couple of points to be made here. First is that Cornelius fundamentally misunderstands what an orphan gene is and what an ORF(an) is – they are not equivalent terms. A true orphan gene should be called a “taxonomically restricted gene” (TRG), and no trace of its evolutionary history can be found outside a particular taxonomic group. These would be examples of de novo evolution. With respect to humans and chimpanzees, I don’t know of any TRGs that exist in either genome (with respect to the other), and if there were, I would then check the other great apes to see if it was likely that this gene was deleted in one of the genomes (rather than evolved out of nothing in 6mn years!).

Good point. Williamson continued:

An ORFan gene usually refers to a putative protein coding gene. “Putative” because these are generally the result of a computer program trying to find long open reading frames, and if it finds something over a certain length (300bp? 400bp?) then, since a long open reading frame is quite unlikely, the program thinks that this open reading frame is evolutionarily conserved, and it might be conserved because it codes for an important protein. Have a read of Eric Lander’s paper – http://www.ncbi.nlm.nih.gov/pubmed/18040051 – where he says we should be removing these ORFs from the gene database unless and until we can actually find their corresponding proteins.

Glad we got that point cleared up. So, what about those 60 protein-coding genes in humans which Dr. Hunter claimed are not found in the chimp? Here’s what Williamson wrote back to me:

So, these 60-odd genes that Cornelius brings up, he is claiming that they must have evolved de novo:

“In fact, 6 billion years would not be enough time. The evolution of a single new protein, even by evolutionists’ incredibly optimistic assumptions, is astronomically unlikely, even given the entire age of the universe to work on the problem.”

And that’s why I checked the first one on the list, just to demonstrate that it was in the chimpanzee genome (at 98.5% identity). So if this gene codes for a protein in humans, maybe we just haven’t found the protein in chimps. Maybe it codes for a protein in humans, and there was a single mutation that caused it not to be translated in chimps. Maybe it doesn’t actually code for a protein in humans at all? (Although I think we can check that). In any case, it’s not an example of de novo evolution – it’s not an orphan gene in the sense of being taxonomically restricted.

As to how to do the work yourself .. let me send this one off first and I’ll start another email 🙂

For my part, I am somewhat skeptical about Williamson’s speculation that these genes got switched off in the lin leading to chimpanzees – especially in view of the discovery of three undoubted cases of de novo genes in human beings where the ancestral sequence in apes was noncoding. But given the striking 98% similarities between these genes and their non-coding counterparts in apes, I would also urge caution about Dr. Hunter’s claim that even billions of years would not have been long enough for these protein-coding genes to have evolved. If they were evolving from scratch, yes; but if they were evolving from 98% identical counterparts, I wouldn’t be so sure about that.

I learn how to do a BLAST comparison

In his next email, Glenn Williamson kindly informed me how to do a BLAST comparison, and how he obtained his results for ZNF843, which was the first of the 60 de novo protein coding genes cited by Dr. Hunter in his 2014 post. In his response to Dr. Hunter, Williamson had reported that “it was quite easy to find the corresponding DNA on the chimpanzee chromosome, with approximately 98.5% identity.” Here’s what he wrote to me:

Alright, I’ll run you through a simple BLAST search on the Ensembl website. Although, if you want to do some serious BLASTing, then you probably should install the software on your own machine, and download the genomes onto your hard drive.

Anyway, go to:

http://www.ensembl.org/index.html

and stick the name of the gene: ZNF843 into the search box. That should get you to here:

http://asia.ensembl.org/Homo_sapiens/Gene/Summary?db=core;g=ENSG00000176723;r=16:31432593-31443160

On the left hand side, there should be an “Export Data” tab. Click it. Deselect all the checkboxes (we just want the raw DNA) and hit “Next”. Hit the “Text” button, and then just Copy the whole output, starting with the “>blah blah blah”. Now, at the top left of the page is the “BLAST/BLAT” tool. Click it.

Paste the copied DNA into the box, make sure you search against the chimpanzee genome (i.e. uncheck the human genome) and then run the search – using the default parameters should be fine for now.

The results can be found here:

http://www.ensembl.org/Homo_sapiens/Tools/Blast/Ticket?tl=mQCTv8YnFRQKB0Kx

Unfortunately the results are given in chunks, and if you want to get an exact number, stick them in Excel and work it out. But if you just want to look at it on the website, click on the “Genomic Location” header to sort them in that order, scroll down to chromosome 16, and you’ll see that it covers the vast majority of the 10.5kb of query DNA, and the matches are around 98.5%-99.5%. Rough guess for the overall identity (including some small indels) is about 98.5%.

If you need help just email me back and I’ll see what I can do. I gotta run now tho 🙂

And here’s what Williamson got when he ran the BLAST comparison on his computer:

I ran it on my local machine:

#!/bin/sh

QRY=”ZNF843.fa”
SBJ=”${HOME}/Data/Ensembl/chimp/Pan_troglodytes.CHIMP2.1.4.dna.chromosome.16.fa”

blastn -query ${QRY} -subject ${SBJ} -max_hsps 1 -outfmt ’10 qseqid qstart qend sstart send nident pident qlen length’

Output:

16,1,10568,31611859,31601307,10375,97.62,10568,10628

So, only 97.62% identity for that one … 0.57% of the alignment is indels. Boooooooooooooo.

So, for the first of the alleged 60 “de novo” protein coding genes cited by Dr. Hunter (“ZNF843″), Glenn Williamson managed to locate some corresponding DNA on the chimpanzee chromosome, which was approximately 98% identical. Are these genes without an evolutionary history? I hardly think so!

More good news – the results for all the other genes are already in!

In his most recent email, Glenn Williamson shared further good tidings: comparisons for the other 59 genes have already been done!

Just looking into that 2011 paper a little further – they’ve already done all the work for us!

http://journals.plos.org/plosgenetics/article/asset?unique&id=info:doi/10.1371/journal.pgen.1002379.s009
http://journals.plos.org/plosgenetics/article/asset?unique&id=info:doi/10.1371/journal.pgen.1002379.s011

These are the 60 “de novo” genes, and their alignments with chimpanzee and orang-utan 🙂

I’ve had a look at the output, and even to my untutored eye, it’s obvious that any claims that these “de novo” genes are not found in the DNA of chimps and other apes are flat-out wrong. They have virtually identical counterparts on the chimpanzee and orang-utan genomes, even if these are non-protein coding.

Some cautionary remarks about the 2011 paper cited by Dr. Hunter

The 2011 paper by Wu et al. which was cited by Dr. Hunter was critiqued in another article in PLOS Genetics (7(11): e1002381. doi:10.1371/journal.pgen.1002381, published 10 November 2011), titled,
De Novo Origins of Human Genes by Daniele Guerzoni and Aoife McLysaght. The authors felt that the estimate of 60 de novo human-specific genes in the paper by Wu et al. was based on rather lax criteria. What’s more, they seemed confident that the genes could have evolved:

In this issue of PLoS Genetics, Wu et al. [15] report 60 putative de novo human-specific genes. This is a lot higher than a previous, admittedly conservative, estimate of 18 such genes [13], [16]. The genes identified share broad characteristics with other reported de novo genes [13]: they are short, and all but one consist of a single exon. In other words, the genes are simple, and their evolution de novo seems plausible. The potential evolution of complex features such as intron splicing and protein domains within de novo genes remains somewhat puzzling. However, features such as proto-splice sites may pre-date novel genes [9], [17], and the appearance of protein domains by convergent evolution may be more likely than previously thought [2].

The operational definition of a de novo gene used by Wu et al. [15] means that there may be an ORF (and thus potentially a protein-coding gene) in the chimpanzee genome that is up to 80% of the length of the human gene (for about a third of the genes the chimpanzee ORF is at least 50% of the length of the human gene). This is a more lenient criterion than employed by other studies, and this may partly explain the comparatively high number of de novo genes identified. Some of these cases may be human-specific extensions of pre-existing genes, rather than entirely de novo genes — an interesting, but distinct, phenomenon.

In a 2009 paper titled Recent de novo origin of human protein-coding genes (Genome Research 2009, 19: 1752-1759), David Knowles and Aoife McLysaght presented evidence for the de novo origin of at least three human protein-coding genes since the divergence with chimp, and estimated that there may be 18 such genes in the human genome, altogether. Here’s what they said about the three genes they identified:

Each of these genes has no protein-coding homologs in any other genome, but is supported by evidence from expression and, importantly, proteomics data. The absence of these genes in chimp and macaque cannot be explained by sequencing gaps or annotation error. High-quality sequence data indicate that these loci are noncoding DNA in other primates. Furthermore, chimp, gorilla, gibbon, and macaque share the same disabling sequence difference, supporting the inference that the ancestral sequence was noncoding over the alternative possibility of parallel gene inactivation in multiple primate lineages.

Note the wording: “Each of these genes has no protein-coding homologs in any other genome.” Nevertheless, the genes have non-coding counterparts in the DNA of apes: “High-quality sequence data indicate that these loci are noncoding DNA in other primates.”

Whether these genes could have evolved naturally from their ape counterparts is a question I’ll leave for the experts to sort out. One thing I do know, however: they are not “new” in the sense that layfolk would construe that term – that is, functioning genes which have no counterparts in the DNA of apes. Clearly, they do have very similar counterparts in apes, even if those counterparts are non-coding.

Conclusion

Well, I think that’s about enough new revelations for one day, so I shall stop there. It seems to me that any claims that humans have a large number of “de novo” genes with no counterparts in the DNA of chimpanzees and other apes should be treated with extreme caution. In fact, I wouldn’t bet on our having any de novo protein-coding genes having no counterparts in apes, after that takedown.

We already have very good arguments demonstrating the impossibility of proteins having evolved via an undirected process, thanks to the excellent work of Dr. Douglas Axe – see, for instance, his excellent article, The Case Against a Darwinian Origin of Protein Folds. It seems to me that arguments based on de novo genes alleged to exist in human beings, with no counterparts in apes, have much weaker evidential support, and that Intelligent Design proponents would be better off not using them.

But perhaps those who are feeling adventurous might like to take up Glenn Williamson on his 2014 wager:

I’d happily take bets on the majority of these de novo genes having an evolutionary history (chimpanzee > 95% and/or gorilla > 90%).

Any takers?

Well? Is anyone feeling lucky?

POSTSCRIPT: Readers may be interested to know that Dr. Ann Gauger has written a very balanced post titled, Orphan Genes—A Guide for the Perplexed. In her post, Dr. Gauger defines orphan genes as ” those open reading frames that lack identifiable sequence similarity to other protein-coding genes.” Note the word “protein-coding.” She raises the possibility that “they are uniquely designed for species- and clade-specific functions” but draws no firm conclusions.

Comments
Nick
Python has hit it several times, but I’ll try again. It’s the same logic as a raffle: if there are a thousand different tickets, and one ticket is pulled from the hat, then everyone has a 1/1000 chance of it being their ticket. The only thing different here is that the mutation (the creation of the tickets) and the “win” (one of the tickets taking over the population) is separated in time by many rounds of reproduction.
And time, chance and luck can produce no such thing as a raffle, math 101 Nick.......Andre
November 3, 2015
November
11
Nov
3
03
2015
10:28 PM
10
10
28
PM
PDT
Box
The larger point Andre is making here, in my understanding, is that naturalism cannot ground such relationships between matter.
Atamussim!!!Andre
November 3, 2015
November
11
Nov
3
03
2015
10:24 PM
10
10
24
PM
PDT
Thirdly, the alternative splicing code is 'species specific'
Canadian Team Develops Alternative Splicing Code from Mouse Tissue Data Excerpt: “Our method takes as an input a collection of exons and surrounding intron sequences and data profiling how those exons are spliced in different tissues,” Frey and his co-authors wrote. “The method assembles a code that can predict how a transcript will be spliced in different tissues.” http://www.genomeweb.com/informatics/canadian-team-develops-alternative-splicing-code-mouse-tissue-data
And yet these supposed 'junk intron sequences', that Darwinists use to ignore, that were used to decipher the splicing code of different tissue types in an organism, are found to be exceptionally different between chimpanzees and Humans:
Modern origin of numerous alternatively spliced human introns from tandem arrays – 2006 Excerpt: A comparison with orthologous regions in mouse and chimpanzee suggests a young age for the human introns with the most-similar boundaries. Finally, we show that these human introns are alternatively spliced with exceptionally high frequency. http://www.pnas.org/content/104/3/882.full
Of related note:
Characterization and potential functional significance of human-chimpanzee large INDEL variation - October 2011 Excerpt:,,, we categorized human-chimpanzee INDEL (Insertion, Deletion) variation mapping in or around genes and determined whether this variation is significantly correlated with previously determined differences in gene expression. Results: Extensive, large INDEL (Insertion, Deletion) variation exists between the human and chimpanzee genomes. This variation is primarily attributable to retrotransposon insertions within the human lineage. There is a significant correlation between differences in gene expression and large human-chimpanzee INDEL variation mapping in genes or in proximity to them. http://www.mobilednajournal.com/content/pdf/1759-8753-2-13.pdf
Jonathan Wells comments on the Darwinian Logic, within the preceding paper, that attributed the large scale variation that was found to unguided Darwinian processes:
Darwinian Logic: The Latest on Chimp and Human DNA – Jonathan Wells - October 2011 Excerpt: Protein-coding regions of DNA in chimps and humans are remarkably similar -- 98%, by many estimates -- and this similarity has been used as evidence that the two species are descended from a common ancestor. Yet chimps and humans are very different anatomically and behaviorally, and even thirty years ago some biologists were speculating that those differences might be due to non-protein-coding regions, which make up about 98% of chimp and human DNA. (In other words, the 98% similarity refers to only 2% of the genome.) Now a research team headed by John F. McDonald at Georgia Tech has published evidence that large segments of non-protein-coding DNA differ significantly between chimps and humans,,,, If the striking similarities in protein-coding DNA point to the common ancestry of chimps and humans, why don’t dissimilarities in the much more abundant non-protein-coding DNA point to their separate origins? http://www.evolutionnews.org/2011/10/the_latest_on_chimp_and_human052291.html
This following, more recent, paper also found that Alternative Splicing patterns are 'species specific':
,,,Alternative splicing,,, may contribute to species differences - December 21, 2012 Excerpt: After analyzing vast amounts of genetic data, the researchers found that the same genes are expressed in the same tissue types, such as liver or heart, across mammalian species. However, alternative splicing patterns—which determine the segments of those genes included or excluded—vary from species to species.,,, The results from the alternative splicing pattern comparison were very different. Instead of clustering by tissue, the patterns clustered mostly by species. "Different tissues from the cow look more like the other cow tissues, in terms of splicing, than they do like the corresponding tissue in mouse or rat or rhesus," Burge says. Because splicing patterns are more specific to each species, it appears that splicing may contribute preferentially to differences between those species, Burge says,,, Excerpt of Abstract: To assess tissue-specific transcriptome variation across mammals, we sequenced complementary DNA from nine tissues from four mammals and one bird in biological triplicate, at unprecedented depth. We find that while tissue-specific gene expression programs are largely conserved, alternative splicing is well conserved in only a subset of tissues and is frequently lineage-specific. Thousands of previously unknown, lineage-specific, and conserved alternative exons were identified; http://phys.org/news/2012-12-evolution-alternative-splicing-rna-rewires.html Evolution by Splicing - Comparing gene transcripts from different species reveals surprising splicing diversity. - Ruth Williams - December 20, 2012 Excerpt: A major question in vertebrate evolutionary biology is “how do physical and behavioral differences arise if we have a very similar set of genes to that of the mouse, chicken, or frog?”,,, A commonly discussed mechanism was variable levels of gene expression, but both Blencowe and Chris Burge,,, found that gene expression is relatively conserved among species. On the other hand, the papers show that most alternative splicing events differ widely between even closely related species. “The alternative splicing patterns are very different even between humans and chimpanzees,” said Blencowe.,,, http://www.the-scientist.com/?articles.view%2FarticleNo%2F33782%2Ftitle%2FEvolution-by-Splicing%2F Gene Regulation Differences Between Humans, Chimpanzees Very Complex – Oct. 17, 2013 Excerpt: Although humans and chimpanzees share,, similar genomes, previous studies have shown that the species evolved major differences in mRNA (messenger RNA) expression levels.,,, http://www.sciencedaily.com/releases/2013/10/131017144632.htm
bornagain
November 3, 2015
November
11
Nov
3
03
2015
06:50 PM
6
06
50
PM
PDT
a few notes: first off, there is an alternative splicing code:
Deciphering the splicing code - May 2010 Excerpt: Here we describe the assembly of a ‘splicing code’, which uses combinations of hundreds of RNA features to predict tissue-dependent changes in alternative splicing for thousands of exons. The code determines new classes of splicing patterns, identifies distinct regulatory programs in different tissues, and identifies mutation-verified regulatory sequences.,,, http://www.ecs.umass.edu/~mettu/ece597m/lectures/hts-papers/barash-splicing-code.pdf Breakthrough: Second Genetic Code Revealed - May 2010 Excerpt: The paper is a triumph of information science that sounds reminiscent of the days of the World War II codebreakers. Their methods included algebra, geometry, probability theory, vector calculus, information theory, code optimization, and other advanced methods. One thing they had no need of was evolutionary theory,,, http://crev.info/content/breakthrough_second_genetic_code_revealed Researchers Crack 'Splicing Code,' Solve a Mystery Underlying Biological Complexity - May 2010 Excerpt: "Understanding a complex biological system is like understanding a complex electronic circuit. Our team 'reverse-engineered' the splicing code using large-scale experimental data generated by the group," http://www.sciencedaily.com/releases/2010/05/100505133252.htm
Secondly, alternative splicing is astonishing:
Researchers Crack ‘Splicing Code,’ Solve a Mystery Underlying Biological Complexity Excerpt: “For example, three neurexin genes can generate over 3,000 genetic messages that help control the wiring of the brain,” says Frey. “Previously, researchers couldn’t predict how the genetic messages would be rearranged, or spliced, within a living cell,” Frey said. “The splicing code that we discovered has been successfully used to predict how thousands of genetic messages are rearranged differently in many different tissues. http://www.sciencedaily.com/releases/2010/05/100505133252.htm Design In DNA – Alternative Splicing, Duons, and Dual coding genes – video (5:05 minute mark) http://www.youtube.com/watch?v=Bm67oXKtH3s#t=305 The Extreme Complexity Of Genes – Dr. Raymond G. Bohlin - video http://www.metacafe.com/watch/8593991/ Time to Redefine the Concept of a Gene? - Sept. 10, 2012 Excerpt: As detailed in my second post on alternative splicing, there is one human gene that codes for 576 different proteins, and there is one fruit fly gene that codes for 38,016 different proteins! While the fact that a single gene can code for so many proteins is truly astounding, we didn’t really know how prevalent alternative splicing is. Are there only a few genes that participate in it, or do most genes engage in it? The ENCODE data presented in reference 2 indicates that at least 75% of all genes participate in alternative splicing. They also indicate that the number of different proteins each gene makes varies significantly, with most genes producing somewhere between 2 and 25. Based on these results, it seems clear that the RNA transcripts are the real carriers of genetic information. This is why some members of the ENCODE team are arguing that an RNA transcript, not a gene, should be considered the fundamental unit of inheritance. http://networkedblogs.com/BYdo8 Landscape of transcription in human cells – Sept. 6, 2012 Excerpt: Here we report evidence that three-quarters of the human genome is capable of being transcribed, as well as observations about the range and levels of expression, localization, processing fates, regulatory regions and modifications of almost all currently annotated and thousands of previously unannotated RNAs. These observations, taken together, prompt a redefinition of the concept of a gene.,,, Isoform expression by a gene does not follow a minimalistic expression strategy, resulting in a tendency for genes to express many isoforms simultaneously, with a plateau at about 10–12 expressed isoforms per gene per cell line. http://www.nature.com/nature/journal/v489/n7414/full/nature11233.html
bornagain
November 3, 2015
November
11
Nov
3
03
2015
06:49 PM
6
06
49
PM
PDT
Roy @ 585- Evidence please.Virgil Cain
November 3, 2015
November
11
Nov
3
03
2015
05:40 PM
5
05
40
PM
PDT
TP:
Can you expand on that please. How do overlapping genes disprove common descent? Can you give an example?
What? I can expand on it but it has nothing to do with refuting common descent. Did you answer my question from 571: How can we objectively test the claim that humans and chimps share a common ancestor? My point is due to overlapping genes and alternative splicing you just can't throw any sequence in an organism even if a final protein has the same function. Other proteins based on the same sequence could be adversely affected.Virgil Cain
November 3, 2015
November
11
Nov
3
03
2015
05:34 PM
5
05
34
PM
PDT
Can you expand on that please. How do overlapping genes disprove common descent? Can you give an example?
No, he can't. He's simply spouting buzzwords. He might have well said that you are wrong because the Flabbergonzoid doesn't match the Reichenbach effect.Roy
November 3, 2015
November
11
Nov
3
03
2015
04:17 PM
4
04
17
PM
PDT
@Virgil Cain, #571:
Due to overlapping genes and alternative splicing, your claim has no merit.
Can you expand on that please. How do overlapping genes disprove common descent? Can you give an example?ThickPython
November 3, 2015
November
11
Nov
3
03
2015
03:51 PM
3
03
51
PM
PDT
Moreover, it is interesting to note that math itself, specifically man's ability to do math, is one of the strongest evidences that man has a soul/mind that is transcendent of his body. Alfred Wallace himself, co-discoverer of natural selection, stated as much:
"Nothing in evolution can account for the soul of man. The difference between man and the other animals is unbridgeable. Mathematics is alone sufficient to prove in man the possession of a faculty unexistent in other creatures. Then you have music and the artistic faculty. No, the soul was a separate creation." Alfred Russell Wallace, New Thoughts on Evolution, 1910
Alfred Wallace is definitely in very good company. Both Eugene Wigner and Albert Einstein are on record as stating that it is a 'miracle' that man can understand and apply mathematics:
The Unreasonable Effectiveness of Mathematics in the Natural Sciences - Eugene Wigner - 1960 Excerpt: ,,certainly it is hard to believe that our reasoning power was brought, by Darwin's process of natural selection, to the perfection which it seems to possess.,,, It is difficult to avoid the impression that a miracle confronts us here, quite comparable in its striking nature to the miracle that the human mind can string a thousand arguments together without getting itself into contradictions, or to the two miracles of the existence of laws of nature and of the human mind's capacity to divine them.,,, The miracle of the appropriateness of the language of mathematics for the formulation of the laws of physics is a wonderful gift which we neither understand nor deserve. We should be grateful for it and hope that it will remain valid in future research and that it will extend, for better or for worse, to our pleasure, even though perhaps also to our bafflement, to wide branches of learning. http://www.dartmouth.edu/~matc/MathDrama/reading/Wigner.html "You find it strange that I consider the comprehensibility of the world (to the extent that we are authorized to speak of such a comprehensibility) as a miracle or as an eternal mystery. Well, a priori, one should expect a chaotic world, which cannot be grasped by the mind in any way .. the kind of order created by Newton's theory of gravitation, for example, is wholly different. Even if a man proposes the axioms of the theory, the success of such a project presupposes a high degree of ordering of the objective world, and this could not be expected a priori. That is the 'miracle' which is constantly reinforced as our knowledge expands." Albert Einstein - Letters to Solovine - New York, Philosophical Library, 1987
In fact, William Lane Craig used the applicability of mathematics as a philosophical proof for God:
Mathematics and Physics – A Happy Coincidence? – William Lane Craig – video https://www.youtube.com/watch?v=BF25AA4dgGg 1. If God did not exist the applicability of mathematics would be a happy coincidence. 2. The applicability of mathematics is not a happy coincidence. 3. Therefore, God exists.
Thus Matzke's flippant, "This is just math guys", quote is very strange indeed. Math, contrary to what Matzke may want to believe, provides no real comfort whatsoever for his Darwinian beliefs that hold there is no design in life. And in fact math, specifically our ability to do math, provides very strong evidence against atheistic materialism and for Theism. Of supplemental note on Kurt Godel, (who is considered one of the greatest mathematicians/logicians of all time):
Conservation of information, evolution, etc - Sept. 30, 2014 Excerpt: Kurt Gödel’s logical objection to Darwinian evolution: "The formation in geological time of the human body by the laws of physics (or any other laws of similar nature), starting from a random distribution of elementary particles and the field is as unlikely as the separation of the atmosphere into its components. The complexity of the living things has to be present within the material [from which they are derived] or in the laws [governing their formation]." Godel - as quoted in H. Wang. “On `computabilism’ and physicalism: Some Problems.” in Nature’s Imagination, J. Cornwall, Ed, pp.161-189, Oxford University Press (1995). Gödel’s argument is that if evolution is unfolding from an initial state by mathematical laws of physics, it cannot generate any information not inherent from the start – and in his view, neither the primaeval environment nor the laws are information-rich enough.,,, More recently this led him (Dembski) to postulate a Law of Conservation of Information, or actually to consolidate the idea, first put forward by Nobel-prizewinner Peter Medawar in the 1980s. Medawar had shown, as others before him, that in mathematical and computational operations, no new information can be created, but new findings are always implicit in the original starting points – laws and axioms. http://potiphar.jongarvey.co.uk/2014/09/30/conservation-of-information-evolution-etc/ Evolutionary Computing: The Invisible Hand of Intelligence - June 17, 2015 Excerpt: William Dembski and Robert Marks have shown that no evolutionary algorithm is superior to blind search -- unless information is added from an intelligent cause, which means it is not, in the Darwinian sense, an evolutionary algorithm after all. This mathematically proven law, based on the accepted No Free Lunch Theorems, seems to be lost on the champions of evolutionary computing. Researchers keep confusing an evolutionary algorithm (a form of artificial selection) with "natural evolution." ,,, What Marks and Dembski prove is as scientifically valid and relevant as Gödel's Incompleteness Theorem in mathematics. You can't prove a system of mathematics from within the system, and you can't derive an information-rich pattern from within the pattern.,,, http://www.evolutionnews.org/2015/06/evolutionary_co_1096931.html
bornagain
November 3, 2015
November
11
Nov
3
03
2015
01:53 PM
1
01
53
PM
PDT
Nick Matzke states
"This is just math guys."
This was an interesting thing for Matzke to claim since Darwinian evolution in fact has no rigid mathematical basis that we can test against, so as to potentially falsify it, as other overarching theories of science have. Here are a few quotes in that regards:
“On the other hand, I disagree that Darwin’s theory is as `solid as any explanation in science.; Disagree? I regard the claim as preposterous. Quantum electrodynamics is accurate to thirteen or so decimal places; so, too, general relativity. A leaf trembling in the wrong way would suffice to shatter either theory. What can Darwinian theory offer in comparison?” - Berlinski, D., “A Scientific Scandal?: David Berlinski & Critics,” Commentary, July 8, 2003 Oxford University Seeks Mathemagician — May 5th, 2011 by Douglas Axe Excerpt: "Grand theories in physics are usually expressed in mathematics. Newton’s mechanics and Einstein’s theory of special relativity are essentially equations. Words are needed only to interpret the terms. Darwin’s theory of evolution by natural selection has obstinately remained in words since 1859." … http://biologicinstitute.org/2011/05/05/oxford-university-seeks-mathemagician/ WHAT SCIENTIFIC IDEA IS READY FOR RETIREMENT? Evolution is True - Roger Highfield - January 2014 Excerpt:,,, Whatever the case, those universal truths—'laws'—that physicists and chemists all rely upon appear relatively absent from biology. Little seems to have changed from a decade ago when the late and great John Maynard Smith wrote a chapter on evolutionary game theory for a book on the most powerful equations of science: his contribution did not include a single equation. http://www.edge.org/response-detail/25468 The formal Darwinism project - June 2015 Excerpt: The formal darwinism project aims to provide a mathematical frame-work within which important fundamental ideas in large parts of biology can be articulated, including Darwin’s central argument in The Origin (that mechanical processes of inheritance and reproduction can give rise to the appearance of design), modern extensions of evolutionary theory including ESS theory and inclusive fitness, and Dawkins’ synthesis of them into a single structure. A new kind of argument is required to link equations of motion on the one hand to optimisation programs on the other, and a major point is that the biologist’s concept of fitness maximisation is not represented by concepts from dynamical systems such as Lyapunov functions and gradient functions.,,, A fly in this ointment is that there are serious reasons to doubt that fitness is in fact maximised. The central assumption of the approach has been known to be untrue in general for decades,,, https://scientiasalon.wordpress.com/2015/06/15/the-formal-darwinism-project/ Active Information in Metabiology – Winston Ewert, William A. Dembski, Robert J. Marks II – 2013 Except page 9: Chaitin states [3], “For many years I have thought that it is a mathematical scandal that we do not have proof that Darwinian evolution works.” In fact, mathematics has consistently demonstrated that undirected Darwinian evolution does not work.,, Consistent with the laws of conservation of information, natural selection can only work using the guidance of active information, which can be provided only by a designer. http://bio-complexity.org/ojs/index.php/main/article/view/BIO-C.2013.4/BIO-C.2013.4
Chaitin is quoted at 10:00 minute mark of following video in regards to Darwinism lack of a mathematical proof - Dr. Marks also comments on the honesty of Chaitin in personally admitting that his long sought after mathematical proof for Darwinian evolution failed to deliver the goods.
On Algorithmic Specified Complexity by Robert J. Marks II - video https://www.youtube.com/watch?v=No3LZmPcwyg&feature=player_detailpage#t=600
One of the primary reasons why a rigid mathematical basis for Darwinism will never be formulated is because of the insistence of a ‘randomness postulate’ at the base of Darwin’s theory, by Darwinists:
“It is our contention that if ‘random’ is given a serious and crucial interpretation from a probabilistic point of view, the randomness postulate is highly implausible and that an adequate scientific theory of evolution must await the discovery and elucidation of new natural laws—physical, physico-chemical, and biological.” Murray Eden, “Inadequacies of Neo-Darwinian Evolution as a Scientific Theory,” Mathematical Challenges to the Neo-Darwinian Interpretation of Evolution, editors Paul S. Moorhead and Martin M. Kaplan, June 1967, p. 109. Pauli’s ideas on mind and matter in the context of contemporary science - Harald Atmanspacher Excerpt: “In discussions with biologists I met large difficulties when they apply the concept of ‘natural selection’ in a rather wide field, without being able to estimate the probability of the occurrence in a empirically given time of just those events, which have been important for the biological evolution. Treating the empirical time scale of the evolution theoretically as infinity they have then an easy game, apparently to avoid the concept of purposesiveness. While they pretend to stay in this way completely ‘scientific’ and ‘rational,’ they become actually very irrational, particularly because they use the word ‘chance’, not any longer combined with estimations of a mathematically defined probability, in its application to very rare single events more or less synonymous with the old word ‘miracle.’” Wolfgang Pauli (pp. 27-28) http://www.igpp.de/english/tda/pdf/paulijcs8.pdf
Moreover, in so far as math can be applied to Darwinian claims, math consistently shows us that Darwinism is astronomically unlikely:
HISTORY OF EVOLUTIONARY THEORY – WISTAR DESTROYS EVOLUTION Excerpt: A number of mathematicians, familiar with the biological problems, spoke at that 1966 Wistar Institute,, For example, Murray Eden showed that it would be impossible for even a single ordered pair of genes to be produced by DNA mutations in the bacteria, E. coli,—with 5 billion years in which to produce it! His estimate was based on 5 trillion tons of the bacteria covering the planet to a depth of nearly an inch during that 5 billion years. He then explained that,, E. coli contain(s) over a trillion (10^12) bits of data. That is the number 10 followed by 12 zeros. *Eden then showed the mathematical impossibility of protein forming by chance. http://www.pathlights.com/ce_encyclopedia/Encyclopedia/20hist12.htm "In light of Doug Axe's number, and other similar results,, (1 in 10^77), it is overwhelmingly more likely than not that the mutation, random selection, mechanism will fail to produce even one gene or protein given the whole multi-billion year history of life on earth. There is not enough opportunities in the whole history of life on earth to search but a tiny fraction of the space of 10^77 possible combinations that correspond to every functional combination. Why? Well just one little number will help you put this in perspective. There have been only 10^40 organisms living in the entire history of life on earth. So if every organism, when it replicated, produced a new sequence of DNA to search that (1 in 10^77) space of possibilities, you would have only searched 10^40th of them. 10^40 over 10^77 is 1 in 10^37. Which is 10 trillion, trillion, trillion. In other words, If every organism in the history of life would have been searching for one those (functional) gene sequences we need, you would have searched 1 in 10 trillion, trillion, trillionth of the haystack. Which makes it overwhelmingly more likely than not that the (Darwinian) mechanism will fail. And if it is overwhelmingly more likely than not that the (Darwinian) mechanism will fail should we believe that is the way that life arose?" Stephen Meyer - 46:19 minute mark - Darwin's Doubt - video https://www.youtube.com/watch?v=Vg8bqXGrRa0&feature=player_detailpage#t=2778 Waiting Longer for Two Mutations - Michael J. Behe Excerpt: Citing malaria literature sources (White 2004) I had noted that the de novo appearance of chloroquine resistance in Plasmodium falciparum was an event of probability of 1 in 10^20. I then wrote that 'for humans to achieve a mutation like this by chance, we would have to wait 100 million times 10 million years' (1 quadrillion years)(Behe 2007) (because that is the extrapolated time that it would take to produce 10^20 humans). Durrett and Schmidt (2008, p. 1507) retort that my number ‘is 5 million times larger than the calculation we have just given’ using their model (which nonetheless "using their model" gives a prohibitively long waiting time of 216 million years). Their criticism compares apples to oranges. My figure of 10^20 is an empirical statistic from the literature; it is not, as their calculation is, a theoretical estimate from a population genetics model.,,, The difficulty with models such as Durrett and Schmidt’s is that their biological relevance is often uncertain, and unknown factors that are quite important to cellular evolution may be unintentionally left out of the model. That is why experimental or observational data on the evolution of microbes such as P. falciparum are invaluable,,, http://www.discovery.org/a/9461 See also Mendel's Accountant and Haldane's Ratchet: John Sanford
bornagain
November 3, 2015
November
11
Nov
3
03
2015
01:52 PM
1
01
52
PM
PDT
Again, has anyone ever verified the math?
Yes. Why don't you verify it for yourself?Roy
November 3, 2015
November
11
Nov
3
03
2015
01:00 PM
1
01
00
PM
PDT
For Nick M and ThickPython, Manfred Eigen has a nice write-up on sequence space in Steps Towards Life. Be sure to check it out.Mung
November 3, 2015
November
11
Nov
3
03
2015
12:17 PM
12
12
17
PM
PDT
NickMatzke:
This is just math guys. It’s very simple. It’s Evolution 101, or really Evolution 1A, and you really have no basis for even having an opinion on any of these issues if you don’t know basics like this.
What a loser. The propaganda is is "it is just math". The reality is it is unsubstantiated nonsense. Again, has anyone ever verified the math?Virgil Cain
November 3, 2015
November
11
Nov
3
03
2015
09:59 AM
9
09
59
AM
PDT
Study material for Nick M and ThickPython: Sequence space (evolution) Please tell us the ways to reduce the size of the amino acid sequence space. I can think of two: 1. Reduce the number of amino acids. 2. Reduce the length of the sequence. What am I missing?Mung
November 3, 2015
November
11
Nov
3
03
2015
08:38 AM
8
08
38
AM
PDT
Nick Matzke, I know you are very fond of literature bluffing and lying to people to try to make your case for Darwinism, but are you ever going to really man up and get honest with yourself and others and apologize to Behe and Meyer for the dishonest literature bluffing stunts that you pulled on them? Until you man up and publicly apologize, your words simply aren't worth crap! Along that line, Meyer, in a far more gracious manner than I could, responds to Matzke's dishonest literature bluff against his book "Darwin's Doubt"
Cladistics, by presupposing the conclusion of common ancestry into its premises, is shamelessly abused by Darwinists to infer relationships between groups that never existed: Cladistics Made Easy: Why an Arcane Field of Study Fails to Upset Steve Meyer's Argument for Intelligent Design Stephen Meyer - Responding to Critics: Matzke Part 1 - video https://www.youtube.com/watch?v=jY2B76JbMQ4 Stephen Meyer - Responding to Critics: Matzke Part 2 - video https://www.youtube.com/watch?v=lZWw18b3nHo Responding to Critics: Matzke Part 3 - video https://www.youtube.com/watch?v=77XappzJh1k
bornagain
November 3, 2015
November
11
Nov
3
03
2015
08:37 AM
8
08
37
AM
PDT
575 Virgil Cain November 3, 2015 at 7:49 am NickMatzke: It’s also possible that he doesn’t get that, under neutrality (without selection), the substitution rate equals the mutation rate. Has anyone actually verified that? Or is it just a saying?
It’s also possible that he doesn’t get that, under neutrality (without selection), the substitution rate equals the mutation rate. Are you assuming it? Or can you actually very this?
This is just math guys. It's very simple. It's Evolution 101, or really Evolution 1A, and you really have no basis for even having an opinion on any of these issues if you don't know basics like this. Python has hit it several times, but I'll try again. It's the same logic as a raffle: if there are a thousand different tickets, and one ticket is pulled from the hat, then everyone has a 1/1000 chance of it being their ticket. The only thing different here is that the mutation (the creation of the tickets) and the "win" (one of the tickets taking over the population) is separated in time by many rounds of reproduction. https://en.wikipedia.org/wiki/Genetic_driftNickMatzke_UD
November 3, 2015
November
11
Nov
3
03
2015
08:27 AM
8
08
27
AM
PDT
Of related interest to DNA repair mechanisms. Although random mutations supposedly building random mutation repair mechanisms is certainly a direct contradiction in logic, and is far more problematic for Darwinian theory than atheists will ever honestly let on,,,
The Evolutionary Dynamics of Digital and Nucleotide Codes: A Mutation Protection Perspective - February 2011 Excerpt: "Unbounded random change of nucleotide codes through the accumulation of irreparable, advantageous, code-expanding, inheritable mutations at the level of individual nucleotides, as proposed by evolutionary theory, requires the mutation protection at the level of the individual nucleotides and at the higher levels of the code to be switched off or at least to dysfunction. Dysfunctioning mutation protection, however, is the origin of cancer and hereditary diseases, which reduce the capacity to live and to reproduce. Our mutation protection perspective of the evolutionary dynamics of digital and nucleotide codes thus reveals the presence of a paradox in evolutionary theory between the necessity and the disadvantage of dysfunctioning mutation protection. This mutation protection paradox, which is closely related with the paradox between evolvability and mutational robustness, needs further investigation." http://www.benthamscience.com/open/toevolj/articles/V005/1TOEVOLJ.pdf Contradiction in evolutionary theory - video - (The contradiction between extensive DNA repair mechanisms and the necessity of 'random mutations/errors' for Darwinian evolution) http://www.youtube.com/watch?v=dzh6Ct5cg1o
Although that is far more problematic for Darwinian theory than Darwinists will ever honestly let on, (and is, in fact, a direct contradiction to their theory), Darwinists act as if that direct contradiction in logic did not defeat their theory and imagine, as Python the puts it,
And finally, you need to split that figure in half – 17.5m of those mutations happened in the chimpanzee lineage, and 17.5m happened in the human lineage. Let’s do the math: 17,500,000 mutations in 6,000,000 years is about 2.92 mutations per year. What would you say the average generation time is for humans – 25 years? 30 years? So that’s theoretically 73 to 88 mutations per generation.
So, since he cut the number in half, I guess that means he believes a half human, half chimp, creature existed BEFORE chimps and humans diverged from that supposed half-man half-chimp common ancestor? HUH? What about all those cartoon drawings showing chimps coming from some apelike creature and humans coming from some chimp-like creature? Oh well,, Somebody better go draw some new ascent of man cartoons for the Darwinists! It would be interesting to see what cartoon creature came before the supposed half man, half chimp, creature Anyways, this is the fantasy land that is Darwinian science in all its glory. i.e. Basically a back of the envelope calculation and presto, a supposed chimp-human like creature can magically turn into both humans and chimps. Apparently, by how dogmatically it is being defended here, it is accepted by the Darwinian faithful as willingly as the Catholic faithful accept the the Pope's pronouncements. i.e. You simply don't question whether it is true or not. Yet, the funny thing about the ballpark 73 to 88 mutations per generation that Python cites, and that he thinks makes his case for common descent, is that John Sanford, inventor of the 'gene gun' and pioneer in transgenic crops, (and who certainly knows far more about genetics than Python and Matzke combined do), uses the same ballpark figure for mutations to argue for genetic entropy. Yet, the principle of Genetic Entropy is completely antagonistic to Darwinian assumptions
John Sanford on (Genetic Entropy) - Down, Not Up - 2-4-2012 (at Loma Linda University) - video http://www.youtube.com/watch?feature=player_detailpage&v=PHsu94HQrL0#t=1040s Notes from John Sanford's preceding video: *3 new mutations every time a cell divides in your body * Average cell of 15 year old has up to 6000 mutations *Average cell of 60 year old has 40,000 mutations Reproductive cells are 'designed' so that, early in development, they are 'set aside' and thus they do not accumulate mutations as the rest of the cells of our bodies do. Regardless of this protective barrier against the accumulation of slightly detrimental mutations still we find that,,, *60-175 mutations are passed on to each new generation.
At the 17 minute mark going to the 22 minute mark of the preceding video, Sanford relates how slightly detrimental mutations, that accumulate each time a cell divides, are the primary reason why our physical/material bodies grow old and die. Sanford is in very good company in his claim:
Entropy Explains Aging, Genetic Determinism Explains Longevity, and Undefined Terminology Explains Misunderstanding Both - 2007 Excerpt: There is a huge body of knowledge supporting the belief that age changes are characterized by increasing entropy, which results in the random loss of molecular fidelity, and accumulates to slowly overwhelm maintenance systems [1–4].,,, http://www.plosgenetics.org/article/info%3Adoi/10.1371/journal.pgen.0030220
Dr. Sanford rightly asks Darwinists where are all the supposed beneficial mutations if evolution is really true:
Critic ignores reality of Genetic Entropy - Dr John Sanford - 7 March 2013 Excerpt: Where are the beneficial mutations in man? It is very well documented that there are thousands of deleterious Mendelian mutations accumulating in the human gene pool, even though there is strong selection against such mutations. Yet such easily recognized deleterious mutations are just the tip of the iceberg. The vast majority of deleterious mutations will not display any clear phenotype at all. There is a very high rate of visible birth defects, all of which appear deleterious. Again, this is just the tip of the iceberg. Why are no beneficial birth anomalies being seen? This is not just a matter of identifying positive changes. If there are so many beneficial mutations happening in the human population, selection should very effectively amplify them. They should be popping up virtually everywhere. They should be much more common than genetic pathologies. Where are they? European adult lactose tolerance appears to be due to a broken lactase promoter [see Can’t drink milk? You’re ‘normal’! Ed.]. African resistance to malaria is due to a broken hemoglobin protein [see Sickle-cell disease. Also, immunity of an estimated 20% of western Europeans to HIV infection is due to a broken chemokine receptor—see CCR5-delta32: a very beneficial mutation. Ed.] Beneficials happen, but generally they are loss-of-function mutations, and even then they are very rare! http://creation.com/genetic-entropy
And indeed the empirical evidence itself, both fossil and genetic, just as Sanford holds, shows that humans are devolving instead of evolving:
Human Genome in Meltdown - January 11, 2013 Excerpt: According to a study published Jan. 10 in Nature by geneticists from 4 universities including Harvard, “Analysis of 6,515 exomes reveals the recent origin of most human protein-coding variants.”,,,: "We estimate that approximately 73% of all protein-coding SNVs [single-nucleotide variants] and approximately 86% of SNVs predicted to be deleterious arose in the past 5,000 -10,000 years. The average age of deleterious SNVs varied significantly across molecular pathways, and disease genes contained a significantly higher proportion of recently arisen deleterious SNVs than other genes.",,, As for advantageous mutations, they provided NO examples,,, http://crev.info/2013/01/human-genome-in-meltdown/ If Modern Humans Are So Smart, Why Are Our Brains Shrinking? - January 20, 2011 Excerpt: John Hawks is in the middle of explaining his research on human evolution when he drops a bombshell. Running down a list of changes that have occurred in our skeleton and skull since the Stone Age, the University of Wisconsin anthropologist nonchalantly adds, “And it’s also clear the brain has been shrinking.” “Shrinking?” I ask. “I thought it was getting larger.” The whole ascent-of-man thing.,,, He rattles off some dismaying numbers: Over the past 20,000 years, the average volume of the human male brain has decreased from 1,500 cubic centimeters to 1,350 cc, losing a chunk the size of a tennis ball. The female brain has shrunk by about the same proportion. “I’d call that major downsizing in an evolutionary eyeblink,” he says. “This happened in China, Europe, Africa—everywhere we look.” http://discovermagazine.com/2010/sep/25-modern-humans-smart-why-brain-shrinking Scientists Discover Proof That Humanity Is Getting Dumber, Smaller And Weaker By Michael Snyder, on April 29th, 2014 Excerpt: An earlier study by Cambridge University found that mankind is shrinking in size significantly. Experts say humans are past their peak and that modern-day people are 10 percent smaller and shorter than their hunter-gatherer ancestors. And if that’s not depressing enough, our brains are also smaller. The findings reverse perceived wisdom that humans have grown taller and larger, a belief which has grown from data on more recent physical development. The decline, said scientists, has happened over the past 10,000 years. http://thetruthwins.com/archives/scientists-discover-proof-that-humanity-is-getting-dumber-smaller-and-weaker
Simply put, this is NOT the type of evidence that Darwinists need in order to try to build their theory up and prove it true, but is, in fact, very troubling evidence that should rightly call the whole Darwinian paradigm into question. (if not falsify it outright) Of complementary note: Here is a very nice interview with Dr. Sanford that gets the very un-Darwinian fact of Genetic Entropy across to the lay person in a very easy to understand manner:
Dr. John Sanford: Genetic Entropy and the Mystery of the Genome https://www.youtube.com/watch?v=eY98io7JH-c
bornagain
November 3, 2015
November
11
Nov
3
03
2015
08:06 AM
8
08
06
AM
PDT
Andre: What is regulation? A regulation is a legal norm intended to shape conduct that is a by-product of imperfection. But in this case regulation also applies to chemical systems like us. Where does regulation come from Nick? There is no system in this or any universe that can build itself and regulate itself. Regulation is a law, rule, or other type of order prescribed by authority. [my emphasis]
The larger point Andre is making here, in my understanding, is that naturalism cannot ground such relationships between matter. Similarly, in post #517 I argue that naturalism cannot ground “function”. It doesn't make sense to say that matter A is the boss of matter B. Matter B cannot be "submissive" to matter A. In physics there are no such relationships. Yet we see Moran, Matzke and others talking airy about "function", "rules" and so forth as if it make sense in a naturalistic setting. There are things that naturalism cannot accommodate. It's incoherent to ignore that if your metaphysics don't accommodate them. I wish that all naturalists understand and acknowledge that simple fact. Here is my hero Rosenberg — a consequent atheist philosopher — who understands that matter A cannot be about matter B. In other words, naturalism cannot ground "aboutness" of thought, which leads Rosenberg to say stuff like:
THE BRAIN DOES EVERYTHING WITHOUT THINKING ABOUT ANYTHING AT ALL. Science must even deny the basic notion that we ever really think about the past and the future or even that our conscious thoughts ever give any meaning to the actions that express them. Introspection must be wrong when it credits consciousness with thoughts about birthdays, keys, and bosses’ names. But the mistake introspection makes is so deep and so persuasive, it’s almost impossible to shake, even when you understand it. At first you won’t even be able to conceive how it could be a mistake. But it has to be. The mistake is the notion that when we think, or rather when our brain thinks, it thinks about anything at all We have to see very clearly that introspection tricks us into the illusion that our thoughts are about anything at all. Thinking about things can’t happen at all. The brain can’t have thoughts about Paris, or about France, or about capitals, or about anything else for that matter. When consciousness convinces you that you, or your mind, or your brain has thoughts about things, it is wrong. Physics has ruled out the existence of clumps of matter of the required sort. There are just fermions and bosons and combinations of them. None of that stuff is just, all by itself, about any other stuff. There is nothing in the whole universe—including, of course, all the neurons in your brain—that just by its nature or composition can do this job of being about some other clump of matter. So, when consciousness assures us that we have thoughts about stuff, it has to be wrong. (…) Therefore, consciousness cannot retrieve thoughts about stuff. There are none to retrieve. So it can’t have thoughts about stuff either. [Rosenberg, The Atheist’s Guide To Reality, Ch.8]
Box
November 3, 2015
November
11
Nov
3
03
2015
07:35 AM
7
07
35
AM
PDT
Nick
What he doesn’t get is that what we are measuring with the standard “mutation rate” is *only* the mutations that occur *despite* all of the repair machinery that is in place. There are probably hundreds/thousands of times more “almost mutations”, but these are caught and fixed during DNA replication. The mutations we see when we, say, sequence parents and offspring, are just the mutations that luckily/unluckily snuck by the DNA repair mechanisms.
Your own answer tells us all what an uphill battle unguided evolution faces..... Thank you for making my case.
It’s also possible that he doesn’t get that, under neutrality (without selection), the substitution rate equals the mutation rate.
Are you assuming it? Or can you actually very this?
One last possibility: Andre might not get these principles of DNA repair: – Absolutely perfect DNA replication is impossible. Because of the noisy, roiling environment at the atomic scale, no chemical reaction can be absolutely perfect.
You know my oldest memory of primary school way back when is this.....
"A copy is always less than an original, copies degrade over time"
Why would you think that I think DNA repair is perfect? I've already said that when the repair mechanism fails, we end up with necrosis as the self destruct of the organism. Does a failed system indicate that I'm under the illusion that it is perfect? You're not very attentive Nick.
But Andre might not realize that DNA repair takes time and chemical energy. More and more surveillance for DNA replication errors costs more and more energy. At some point the cost of improved DNA repair will outweigh the benefit, and that is where we would expect the evolution of better repair mechanisms to stop.
Mmmm.... so according to Nick 500 000 000 years ago repair mechanisms stopped to evolve.... Tell me Nick how did something that did not evolve for 500 000 000 keep up with the changes of the organism itself? I can tell you this; the average unguided evolutionist (Larry Moran, Nick Matzke) Have a very simple idea of evolution in their heads. They are not putting their minds into the real issues.
It is true that having a high mutation rate is bad, because many mutations are deleterious, even though many other mutations are neutral. Thus, there is selection for mechanisms to reduce the mutation rate.
Where does these selection mechanisms come from Nick? How did unguided processes create guided processes to prevent unguided processes from happening? If you don't know what is good or bad how do these simply emerge? How does this system that poofed from nowhere know good from bad Nick? Do you actually believe yourself when you say regulatory systems can evolve de novo? Are you certain of that? What is regulation? A regulation is a legal norm intended to shape conduct that is a by-product of imperfection. But in this case regulation also applies to chemical systems like us. Where does regulation come from Nick? There is no system in this or any universe that can build itself and regulate itself. Regulation is a law, rule, or other type of order prescribed by authority.Andre
November 3, 2015
November
11
Nov
3
03
2015
06:58 AM
6
06
58
AM
PDT
Python, I have to admit this comment from you gave me pause and put a smile on my face.
if you’re looking for a hardcore [ Darwinist | atheist | naturalist ], I’m not him. I would even go as far to say that I would sign the Dissent from Darwin (if I was assured that my signing would not be misconstrued!).
To remind readers:
"We are skeptical of claims for the ability of random mutation and natural selection to account for the complexity of life. Careful examination of the evidence for Darwinian theory should be encouraged." http://dissentfromdarwin.org/
By the way Python, if you were able to sign that list, it is not the ID proponents that you would have to worry about. It is the Darwinists that you would have to worry about.
“In the last few years I have seen a saddening progression at several institutions. I have witnessed unfair treatment upon scientists that do not accept macroevolutionary arguments and for their having signed the above-referenced statement regarding the examination of Darwinism. (Dissent from Darwinism list)(I will comment no further regarding the specifics of the actions taken upon the skeptics; I love and honor my colleagues too much for that.) I never thought that science would have evolved like this. I deeply value the academy; teaching, professing and research in the university are my privileges and joys… ” Professor James M. Tour – one of the ten most cited chemists in the world https://uncommondescent.com/intelligent-design/a-world-famous-chemist-tells-the-truth-theres-no-scientist-alive-today-who-understands-macroevolution/ “Tour signed Discovery's Scientific Dissent from Darwinism years ago when the National Center for Science Education asserted that only a handful of scientists doubt Darwin's theory. Our list of dissenters started at 100, then grew to 800. At that point we stopped inviting people to sign it because their names on the list were used by Darwinists to persecute them professionally. Some lost their jobs.” http://www.evolutionnews.org/2014/10/detective_colum090401.html
Here is an interesting 'they just stare at me' quote from the preceding article:
"Let me tell you what goes on in the back rooms of science -- with National Academy members, with Nobel Prize winners," Tour stated. "I have sat with them, and when I get them alone, not in public -- because it's a scary thing, if you say what I just said -- I say, 'Do you understand all of this, where all of this came from, and how this happens?'" The answer he inevitably receives, Tour explained, is: "no." "Every time that I have sat with people who are synthetic chemists, who understand this, they go, 'Uh-uh. Nope.'" Tour said. "And if they're afraid to say 'yes,' they say nothing. They just stare at me, because they can't sincerely do it."
also of note If silencing by intimidation, or censorship, does not work, Darwinists have a history of simply 'EXPELLING' anyone who disagrees with them if they have the power to do so:
Expelled: No Intelligence Allowed (full movie) http://www.youtube.com/watch?v=V5EPymcWp-g Slaughter of Dissidents - Book "If folks liked Ben Stein's movie "Expelled: No Intelligence Allowed," they will be blown away by "Slaughter of the Dissidents." - Russ Miller http://www.amazon.com/Slaughter-Dissidents-Dr-Jerry-Bergman/dp/0981873405 Origins - Slaughter of the Dissidents with Dr. Jerry Bergman - video http://www.youtube.com/watch?v=Y6rzaM_BxBk
bornagain
November 3, 2015
November
11
Nov
3
03
2015
06:21 AM
6
06
21
AM
PDT
NickMatzke:
It’s also possible that he doesn’t get that, under neutrality (without selection), the substitution rate equals the mutation rate.
Has anyone actually verified that? Or is it just a saying? Also Nick doesn't understand that blind watchmaker evolution cannot explain the existence of DNA repair.Virgil Cain
November 3, 2015
November
11
Nov
3
03
2015
05:49 AM
5
05
49
AM
PDT
Correcting a previous post: I said (length of sequence)^20, I meant 20^(length of sequence) (Although, I'm arguing about 20. I mean, some people say there are 22 amino acids, so why don't all the creationists use that number instead?)NickMatzke_UD
November 3, 2015
November
11
Nov
3
03
2015
05:40 AM
5
05
40
AM
PDT
ThickPython, I have a hypothesis about what Andre is thinking. He writes:
And I have already told you that even if it is 98% similar it still means a base pair difference of 60 000 000. This raises the obvious question how on earth did 60 000 000 base pair differences become fixed in only 6 000 000 years considering that NS &RM, neutral evolution drift and what ever other types of evolution there is managed to do so against the bona fida evidence we have for 1.) DNA Integrity Check mechanisms (evolutionary conserved) 2.) DNA Repair mechanisms (Evolutionary conserved) 3.) Multiple Apoptosis mechanisms (Evolutionary conserved) 4.) Necrosis (Evolutionary conserved) Lenski’s experiments show only a couple of 100 mutations over a 1 000 000 years of E-coli evolution. How so? Why are they still e-coli? Help me here! Thickpython maybe you can finally answer my question; How did unguided processes create guided processes to prevent unguided processes from happening?
Maybe he's saying that can't see how the mutation rate can be so high between humans and chimps, because of all of the checkpoint and repair mechanisms. What he doesn't get is that what we are measuring with the standard "mutation rate" is *only* the mutations that occur *despite* all of the repair machinery that is in place. There are probably hundreds/thousands of times more "almost mutations", but these are caught and fixed during DNA replication. The mutations we see when we, say, sequence parents and offspring, are just the mutations that luckily/unluckily snuck by the DNA repair mechanisms. It's also possible that he doesn't get that, under neutrality (without selection), the substitution rate equals the mutation rate. One last possibility: Andre might not get these principles of DNA repair: - Absolutely perfect DNA replication is impossible. Because of the noisy, roiling environment at the atomic scale, no chemical reaction can be absolutely perfect. - It is true that having a high mutation rate is bad, because many mutations are deleterious, even though many other mutations are neutral. Thus, there is selection for mechanisms to reduce the mutation rate. But Andre might not realize that DNA repair takes time and chemical energy. More and more surveillance for DNA replication errors costs more and more energy. At some point the cost of improved DNA repair will outweigh the benefit, and that is where we would expect the evolution of better repair mechanisms to stop. - There is another more complex level of discussion involving population size and the strength of selection to overcome drift, but since the creationists in this thread seem to be unaware of this fundamental principle, I'll keep it simple and just say they should read Michael Lynch on mutation rates.NickMatzke_UD
November 3, 2015
November
11
Nov
3
03
2015
05:38 AM
5
05
38
AM
PDT
Thickpython..... And does a single point mutation guarantee a change? Of course not...... For Cancer to develop there needs to be just six mutations..... http://www.cancer.ca/en/cancer-information/cancer-101/what-is-cancer/cancer-cell-development/?region=on The body's repair system
Each cell has the ability to spot changes in the DNA and fix them before they are passed on to new cells. But sometimes a cell’s ability to make these repairs fails. As the mutations build up over time, the damaged cell is more likely to become cancerous. Cells are often destroyed by several mechanisms if DNA damage cannot be repaired. However, these "cell death triggering systems" may also become defective in cancer cells. If a cell with mutations is not destroyed, it has the potential to turn into cancer. Cancer usually requires at least 6 mutations to occur before the normal growth control checks are removed and the healthy cell changes into a malignant one. It usually takes many years for these mutations to build up and transform a normal cell into a malignant (cancerous) cell.
The question then remains, if 6 mutations can happen over a few years and cause cancer how is "good" or "neutral" mutations getting past the system? Do such things even exist? Considering how sensitive the integrity check and repair mechanisms are? We know for a change in function we require multiple mutations 6 leads to cancer. Considering that most of the information we have on mutations indicate that they are mostly, repaired in a living systems. The repaired ones are not considered mutations (Larry Moran). We also know that mutations in somatic cells ares not passed onto the off-spring but will die with the organism. As you know mutations in germ cells can be passed on, but here there is a challenge too, we have enough evidence that germ cells mutation rates has to be very very low for an organism to remain viable, any deviation and it leads to deformities or death. So even if you say to me we're looking at 17 500 000 supposed mutations in germ cells passed on I'd say you're clutching straws. Supplemental reading for you; https://www.newscientist.com/article/mg22129533-100-giant-leaps-of-evolution-make-cancer-cells-deadly/ The odds are truly stacked against what you think are facts. To think them true means we have to accept miracles.Andre
November 3, 2015
November
11
Nov
3
03
2015
05:35 AM
5
05
35
AM
PDT
How can we objectively test the claim that humans and chimps share a common ancestor?
So your explanation has to be able to explain why, for example, the human sequence is identical to the chimpanzee sequence, when either of those species could swap their sequence for, say, the whale sequence and it would function exactly the same – no better and no worse.
Due to overlapping genes and alternative splicing, your claim has no merit.Virgil Cain
November 3, 2015
November
11
Nov
3
03
2015
05:17 AM
5
05
17
AM
PDT
@Andre, #568:
I’ll gladly accept it as a fact if you can demonstrate the differences too. It is really easy to explain similarities.
Two sequences will continue to diverge the longer the time is since they last shared a common ancestor (until they reach saturation of course). So humans and chimpanzees have very similar sequences because they shared a common ancestor relatively recently (more similarities, less differences). Humans and fish on the other hand have more divergent sequences because they shared a common ancestor much further back in time (less similarities, more differences). That seems pretty obviously consistent with common descent, yeah? Although I am a little concerned that someone (Virgil Cain) looked like he was going to pull out an equidistance argument, so I guess I can't take some things for granted ... If common descent is not the explanation, you need to come up with an explanation for why this apparent divergence phenomenon exists. The response I hear most often is that these sequences were just designed that way, that they are each suited to their own animals for functional reasons, etc. And that's where that study comes in (the one I posted in #110). That study demonstrates empirically that the majority of the amino acids in that sequences are functionally equivalent. So your explanation has to be able to explain why, for example, the human sequence is identical to the chimpanzee sequence, when either of those species could swap their sequence for, say, the whale sequence and it would function exactly the same - no better and no worse.ThickPython
November 3, 2015
November
11
Nov
3
03
2015
03:42 AM
3
03
42
AM
PDT
@Andre, #567:
And I have already told you that even if it is 98% similar it still means a base pair difference of 60 000 000. This raises the obvious question how on earth did 60 000 000 base pair differences become fixed in only 6 000 000
Sorry, must have missed your earlier comment. Firstly, the fixation rate is equal to the mutation rate - So this is not a question of fixation, but instead a question of mutation rates. Think of yourself as the accumulation of all the mutations going back six million years. Every generation you accumulate a handful of mutations, and you pass those mutations on to your children. Secondly, that 98% figure is kind of a "middle of the road" figure. The figure I calculated - 96.90% - takes a very conservative view of indels. That is, it treats a 50 base pair indel as if it carried the same weight as 50 individual point mutations, when in reality, indels are considered to be single events. If we're looking at fixation of individual mutations, then we need to look at the nucleotide divergence, which is around 1.1% to 1.2% (that is, 98.8% - 98.9% similarity). From the 2005 draft chimpanzee genome paper, there are " ... approximately thirty-five million single-nucleotide changes, five million insertion/deletion events ..." And finally, you need to split that figure in half - 17.5m of those mutations happened in the chimpanzee lineage, and 17.5m happened in the human lineage. Let's do the math: 17,500,000 mutations in 6,000,000 years is about 2.92 mutations per year. What would you say the average generation time is for humans - 25 years? 30 years? So that's theoretically 73 to 88 mutations per generation. Homework for Andre: there have been quite a few studies directly measuring the number of mutations between parents and their children. Go and find some of these and tell me how many mutations are passed down from parent to child. We can do a similar calculation for indels, but we don't have any empirical data to calibrate it with.ThickPython
November 3, 2015
November
11
Nov
3
03
2015
03:22 AM
3
03
22
AM
PDT
Thickpython
I’ll happily explain why I believe common descent is a fact.
I'll gladly accept it as a fact if you can demonstrate the differences too. It is really easy to explain similarities.Andre
November 3, 2015
November
11
Nov
3
03
2015
01:33 AM
1
01
33
AM
PDT
Thickpython
You’ve called me an atheist about a dozen times, but I don’t recall making a statement about whether I hold theistic or atheistic beliefs. All I’m really here for is to defend my 98% human-chimp DNA similarity, and secondary to that, I’ll happily explain why I believe common descent is a fact. All this other stuff is interesting – and I’ll throw a comment in here or there when I see fit – but if you’re looking for a hardcore [ Darwinist | atheist | naturalist ], I’m not him. I would even go as far to say that I would sign the Dissent from Darwin (if I was assured that my signing would not be misconstrued!).
And I have already told you that even if it is 98% similar it still means a base pair difference of 60 000 000. This raises the obvious question how on earth did 60 000 000 base pair differences become fixed in only 6 000 000 years considering that NS &RM, neutral evolution drift and what ever other types of evolution there is managed to do so against the bona fida evidence we have for 1.) DNA Integrity Check mechanisms (evolutionary conserved) 2.) DNA Repair mechanisms (Evolutionary conserved) 3.) Multiple Apoptosis mechanisms (Evolutionary conserved) 4.) Necrosis (Evolutionary conserved) Lenski's experiments show only a couple of 100 mutations over a 1 000 000 years of E-coli evolution. How so? Why are they still e-coli? Help me here! Thickpython maybe you can finally answer my question; How did unguided processes create guided processes to prevent unguided processes from happening?Andre
November 3, 2015
November
11
Nov
3
03
2015
01:20 AM
1
01
20
AM
PDT
Thickpython..... Context is everything....... what on earth does plausible mean?
plau·si·ble ?plôz?b(?)l/ adjective adjective: plausible (of an argument or statement) seeming reasonable or probable. "a plausible explanation" synonyms: credible, reasonable, believable, likely, feasible, tenable, possible, conceivable, imaginable; More convincing, persuasive, cogent, sound, rational, logical, thinkable "a plausible explanation" antonyms: unlikely (of a person) skilled at producing persuasive arguments, especially ones intended to deceive. "a plausible liar"
I did not know plausible is the equivalent of certain as death...... did you think so?Andre
November 3, 2015
November
11
Nov
3
03
2015
01:08 AM
1
01
08
AM
PDT
1 2 3 4 21

Leave a Reply