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

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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
Further to 195, I think that multiple alleles of the same gene could result in a juggling order in the charts -- albeit not by much. "Given all of this — which comes down to laziness and the williness to confidently expound opinions without studying an issue first — why should I then volunteer to do all of the work for you?" If you want to prove a point, you've got to provide the proof.bFast
October 26, 2015
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Larry Moran wrote: "Don’t be ridiculous. This entire debate is about our personal opinions. They may or may not be informed by facts and data but it’s our opinion nevertheless." Yes, professor Moran; They are your personal opinions too, just in case you think that your opinions carry more weight... You have been selling those same your own personal opinions to everyone as facts though. Can you explain why? Well, we have it on record now.... You have admitted to it. Can you see the difference between an opinion vs faith? I don't, especially when someone is spreading his own personal opinions with religious conviction...J-Mac
October 26, 2015
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Andre: If you want to look yourself at how closely protein sequences are to each other that is quite straightforward and anyone can have a go. Go to: www.uniprot.org Type in the search box your gene name of interest (e.g. FOXP2) and it will come up with loads. Then check on the left hand side to restrict to particular organisms or search for one not listed (e.g. pan troglodites) and when you click on the relevant entry, you can scroll down to see a protein sequence. If you copy that protein amino acid sequence as is (don't worry about the fact it is in a form with numbers in it), you can paste it here: http://blast.ncbi.nlm.nih.gov/Blast.cgi?PAGE=Proteins&PROGRAM=blastp&BLAST_PROGRAMS=blastp&PAGETYPE=BlastSearch&DATABASE=refseq_protein Then click the "Align two or more sequences" and you can paste those sequences for different organisms into different boxes, hit BLAST and it will align them giving you sequence identity. IF you have 2 sequences it will put them on top of each other and in between them it will state the same amino acid if they are identical, a gap if they are quite different, a "+" if they are conservative changes (e.g. an R changed to a K is conservative as they are structurally quite similar amino acids with similar proterties) and a "-" if there has been a gap (indel) when aligning. But crudely, you will see a % identify and % sequence coverage. So if you do homo sapiens vs pan tr for FOXP2 as you stated above, the amino acid sequence homology is 99% with only 4 amino acid differences I believe. If you do homo sap vs orangutan you get 99% homology with only 4 differences. You can also do this with genetic code which is subject to greater change/mutation (amino acid hides mutants through redundancy) just use the "blastn" version rather than blastp. It is quite easy to do and worth doing yourself when someone makes a claim that a particular gene/protein is completely different in chimp than human vs other species. This is unfortunately often out-dated info (assuming the uniprot entry is correct) and really is not a wise argument for ID to labour over. For years many pro-ID people have argued that homology does not = common descent and is expected with common design and is not really any more evidence for one than the other so actually when people claim things don't align when they do does more harm than good! Especially when it is so easy to do a simple alignment when talking about a specific gene...Dr JDD
October 26, 2015
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Logged Out - Scientists Can't Find Darwin's "Tree of Life" Anywhere in Nature by Casey Luskin - Winter 2013 Excerpt: the (fossil) record shows that major groups of animals appeared abruptly, without direct evolutionary precursors. Because biogeography and fossils have failed to bolster common descent, many evolutionary scientists have turned to molecules—the nucleotide and amino acid sequences of genes and proteins—to establish a phylogenetic tree of life showing the evolutionary relationships between all living organisms.,,, Many papers have noted the prevalence of contradictory molecule-based phylogenetic trees. For instance: • A 1998 paper in Genome Research observed that "different proteins generate different phylogenetic tree[s]."6 • A 2009 paper in Trends in Ecology and Evolution acknowledged that "evolutionary trees from different genes often have conflicting branching patterns."7 • A 2013 paper in Trends in Genetics reported that "the more we learn about genomes the less tree-like we find their evolutionary history to be."8 Perhaps the most candid discussion of the problem came in a 2009 review article in New Scientist titled "Why Darwin Was Wrong about the Tree of Life."9 The author quoted researcher Eric Bapteste explaining that "the holy grail was to build a tree of life," but "today that project lies in tatters, torn to pieces by an onslaught of negative evidence." According to the article, "many biologists now argue that the tree concept is obsolete and needs to be discarded.",,, Syvanen succinctly summarized the problem: "We've just annihilated the tree of life. It's not a tree any more, it's a different topology entirely. What would Darwin have made of that?" ,,, "battles between molecules and morphology are being fought across the entire tree of life," leaving readers with a stark assessment: "Evolutionary trees constructed by studying biological molecules often don't resemble those drawn up from morphology."10,,, A 2012 paper noted that "phylogenetic conflict is common, and [is] frequently the norm rather than the exception," since "incongruence between phylogenies derived from morphological versus molecular analyses, and between trees based on different subsets of molecular sequences has become pervasive as datasets have expanded rapidly in both characters and species."12,,, http://www.salvomag.com/new/articles/salvo27/logged-out.php
Here is another article, written by a leading researcher in the world, that states the true pattern found for life, from comparative genetic evidence, is certainly not the tree pattern that Darwin had originally envisioned:
A New Model for Evolution: A Rhizome - Didier Raoult - May 2010 Excerpt: Thus we cannot currently identify a single common ancestor for the gene repertoire of any organism.,,, Overall, it is now thought that there are no two genes that have a similar history along the phylogenic tree.,,,Therefore the representation of the evolutionary pathway as a tree leading to a single common ancestor on the basis of the analysis of one or more genes provides an incorrect representation of the stability and hierarchy of evolution. Finally, genome analyses have revealed that a very high proportion of genes are likely to be newly created,,, and that some genes are only found in one organism (named ORFans). These genes do not belong to any phylogenic tree and represent new genetic creations. http://darwins-god.blogspot.com/2010/05/new-model-for-evolution-rhizome.html
Of note: Didier Raoult, who authored the preceding paper, has been referred to as 'Most Productive and Influential Microbiologist in France'. He has unambiguously said that 'Darwin’s theory is wrong'.
The "Most Productive and Influential Microbiologist in France" Is a Furious Darwin Doubter - March 2012 Excerpt: Controversial and outspoken, Raoult last year published a popular science book that flat-out declares that Darwin's theory of evolution is wrong. http://www.evolutionnews.org/2012/03/the_most_produc057081.html
A few more notes:
Here Are Those Incongruent Trees From the Yeast Genome - Case Study - Cornelius Hunter - June 2013 Excerpt: We recently reported on a study of 1,070 genes and how they contradicted each other in a couple dozen yeast species. Specifically, evolutionists computed the evolutionary tree, using all 1,070 genes, showing how the different yeast species are related. This tree that uses all 1,070 genes is called the concatenation tree. They then repeated the computation 1,070 times, for each gene taken individually. Not only did none of the 1,070 trees match the concatenation tree, they also failed to show even a single match between themselves. In other words, out of the 1,071 trees, there were zero matches. Yet one of the fundamental predictions of evolution is that different features should generally agree. It was “a bit shocking” for evolutionists, as one explained: “We are trying to figure out the phylogenetic relationships of 1.8 million species and can’t even sort out 20 yeast.” In fact, as the figure above shows, the individual gene trees did not converge toward the concatenation tree. Evolutionary theory does not expect all the trees to be identical, but it does expect them to be consistently similar. They should mostly be identical or close to the concatenation tree, with a few at farther distances from the concatenation tree. Evolutionists have clearly and consistently claimed this consilience as an essential prediction. But instead, on a normalized scale from zero to one (where zero means the trees are identical), the gene trees were mostly around 0.4 from the concatenation tree with a huge gap in between. There were no trees anywhere close to the concatenation tree. This figure is a statistically significant, stark falsification of a highly acclaimed evolutionary prediction. http://darwins-god.blogspot.com/2013/06/here-are-those-incongruent-trees-from.html You Won’t Believe This New Epicycle: Both Congruence & Incongruence are Powerful Phylogenetic Signals - October - 7, 2013 Excerpt: Similar evolution trees are derived from completely different genes. Such congruence of independent data was predicted by evolution and evolutionists have consistently proclaimed it as a powerful confirmation of the fact of evolution. It is, as evolutionists like to say, a powerful phylogenetic signal. There’s only one problem: all of this is false. It is yet another example of evolution’s theory-laden science where the findings are dictated not by the data but by the doctrine. There is no powerful phylogenetic signal. That is a myth. For when evolutionists construct their phylogenies, they first filter out the anatomical comparisons that don’t cooperate. But that is not enough so after their first try they filter some more. As one evolutionist admitted, “We are trying to figure out the phylogenetic relationships of 1.8 million species and can’t even sort out 20 [types of] yeast.” And so it is good to see a new paper that admits that data are routinely filtered in order to satisfy stringent criteria so as to eliminate the possibility of incongruence. And what is the solution to this dilemma? As usual, a theoretical failure is converted into a success by adding yet more epicycles. Or as Lakatos might have put it, the core idea is protected by the addition of yet more auxiliary hypotheses. In this case, the incredible emerging view is that incongruence is now to be interpreted as a powerful phylogenetic signal that is desirable, as it often illuminates previously poorly understood evolutionary phenomena. Once again a prediction that was hailed as a powerful proof of evolution turns out to be false, and the story is simply flipped on its head, thus preserving the success of the theory. Where congruence was once claimed as a powerful phylogenetic signal, now incongruence takes its place as the powerful phylogenetic signal. You cannot make this stuff up. http://darwins-god.blogspot.com/2013/10/you-wont-believe-this-new-epicycle.html
bornagain
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so it is admitted the programs are 'not perfect' and yet Python claims
", one of the ways to spot these sort of errors is when the data are in apparent conflict with common descent!"
Interesting belief, but what if the 'not perfect' programs are set up to give common descent the most favorable outcome in the first place even if the assumption of common descent is wrong? How 'not perfect' would that make the programs? A few notes in that 'not perfect' regards:
Pattern pluralism and the Tree of Life hypothesis - 2006 Excerpt: Hierarchical structure can always be imposed on or extracted from such data sets by algorithms designed to do so, but at its base the universal TOL rests on an unproven assumption about pattern that, given what we know about process, is unlikely to be broadly true. http://www.pnas.org/content/104/7/2043.abstract “The computer programs that analyze the sequence similarities, or differences, are programmed in advance to generate a tree-like pattern. In other words, the assumption of a common ancestor is built into the way in which the analysis is performed. So there is no way you would get anything other than the conclusion,,, It’s a question begging assumption.” Stephen Meyer – on the Cambrian Explosion – podcast (15:25 minute mark) http://intelligentdesign.podomatic.com/entry/2014-05-30T17_33_15-07_00 Contradictory Trees: Evolution Goes 0 For 1,070 - Whif Excerpt: One of evolution’s trade secrets is its prefiltering of data to make it look good, but now evolutionists are resorting to postfiltering of the data as well.,,, Prefiltering is often thought of merely as cleaning up the data. But prefiltering is more than that, for built-in to the prefiltering steps is the theory of evolution. Prefiltering massages the data to favor the theory. The data are, as philosophers explain, theory-laden. But even prefiltering cannot always help the theory.,,, http://darwins-god.blogspot.com/2013/06/contradictory-trees-evolution-goes-0.html Richard Dawkins: How Could Anyone “Possibly Doubt the Fact of Evolution” - Cornelius Hunter - February 27, 2014 Excerpt: there is “no known mechanism or function that would account for this level of conservation at the observed evolutionary distances.”,,, the many examples of nearly identical molecular sequences of totally unrelated animals are “astonishing.”,,, “data are routinely filtered in order to satisfy stringent criteria so as to eliminate the possibility of incongruence.”,,, he has not found “a single example that would support the traditional tree.” It is, another evolutionist admitted, “a very serious incongruence.” “the more molecular data is analysed, the more difficult it is to interpret straightforwardly the evolutionary histories of those molecules.” And yet in public presentations of their theory, evolutionists present a very different story. As Dawkins explained, gene comparisons “fall in a perfect hierarchy, a perfect family tree.” This statement is so false it isn’t even wrong—it is absurd. And then Dawkins chastises anyone who “could possibly doubt the fact of evolution.” Unfortunately this sentiment is typical. Evolutionists have no credibility. http://darwins-god.blogspot.com/2014/02/richard-dawkins-how-could-anyone.html Darwin’s Tree of Life is a Tangled Bramble Bush - May 15, 2013 Excerpt: ,,, One whole subsection in the paper is titled, “All gene trees differ from species phylogeny.” Another is titled, “Standard practices do not reduce incongruence.” A third, “Standard practices can mislead.” One of their major findings was “extensive conflict in certain internodes.” The authors not only advised throwing out some standard practices of tree-building, but (amazingly) proposed evolutionists throw out the “uninformative” conflicting data and only use data that seems to support the Darwinian tree: “the subset of genes with strong phylogenetic signal is more informative than the full set of genes, suggesting that phylogenomic analyses using conditional combination approaches, rather than approaches based on total evidence, may be more powerful.”,,, ,,,tossing out “uninformative” data sets and only using data that appear to support their foreordained conclusion. Were you told this in biology class? Did your textbook mention this? http://crev.info/2013/05/darwins-tree-of-life-is-a-tangled-bramble-bush/ "there is a great deal of preferential and selective treatment of the data being analyzed. In many cases, only the most promising data such as gene-rich sequences that exist in both species (homologs) is utilized from a much larger data pool. This pre-selected data is often further subjected to more filtering before being analyzed and discussed. Non-alignable regions and large gaps in DNA sequence alignments are also typically omitted, thus increasing the levels of reported similarity." Jeffrey Tomkins
A few more notes:
Do Molecular Clocks Run at All? A Critique of Molecular Systematics - Jeffrey H. Schwartz, Bruno Maresca Abstract: Although molecular systematists may use the terminology of cladism, claiming that the reconstruction of phylogenetic relationships is based on shared derived states (synapomorphies), the latter is not the case. Rather, molecular systematics is (largely) based on the assumption, first clearly articulated by Zuckerkandl and Pauling (1962), that degree of overall similarity reflects degree of relatedness. This assumption derives from interpreting molecular similarity (or dissimilarity) between taxa in the context of a Darwinian model of continual and gradual change. Review of the history of molecular systematics and its claims in the context of molecular biology reveals that there is no basis for the “molecular assumption.”.. For historians and philosophers of science the questions that arise are how belief in the infallibility of molecular data for reconstructing evolutionary relationships emerged, and how this belief became so central … http://www.pitt.edu/~jhs/articles/Schwartz&Maresca_Mol_clocks.pdf Fudging Evolution to Avoid Falsification - March 12, 2015 Evolutionary theory follows Finagle’s Rule #4: “Draw your curves, then plot your data.” Excerpt: “The fact that the clock is so uncertain is very problematic for us,” David Reich of Harvard said at a recent meeting where no consensus was reached. “It means that the dates we get out of genetics are really quite embarrassingly bad and uncertain.” The solution for some has been to invoke “rate heterogeneity”: mutations rates that speed up or slow down as needed to keep the theory intact. - http://crev.info/2015/03/fudging-evolution/ Evolution Makes No Sense on This Molecular Clock Problem - Cornelius Hunter - June 15, 2015 Excerpt: The theory-laden measurements are based on evolutionary theory. The theory-neutral measurements do not entail evolutionary thinking. In other words, making measurements based on evolutionary theory leads to problems. The resulting DNA mutation rates are not even close to what we can measure more directly, free from theoretical assumptions. As is often the case, these discrepancies between the evidence and the theory leave evolutionists unsure and of differing opinions. As one evolutionist admitted: "The fact that the clock is so uncertain is very problematic for us, It means that the dates we get out of genetics are really quite embarrassingly bad and uncertain." http://darwins-god.blogspot.com/2015/06/evolution-makes-no-sense-on-this.html Molecular Data Wreak Havoc on the Tree of Life - Casey Luskin - February 7, 2014 Excerpt: After citing Pauling and Zuckerkandl’s test, Douglas Theobald claims in his “29+ Evidences for Macroevolution” that “well-determined phylogenetic trees inferred from the independent evidence of morphology and molecular sequences match with an extremely high degree of statistical significance.”26 In reality, however, the technical literature tells a different story. Studies of molecular homologies often fail to confirm evolutionary trees depicting the history of the animal phyla derived from studies of comparative anatomy. Instead, during the 1990s, early into the revolution in molecular genetics, many studies began to show that phylogenetic trees derived from anatomy and those derived from molecules often contradicted each other. Probably the most protracted conflict of this type concerns a widely accepted phylogeny for the bilaterian animals. This classification scheme was originally the work of the influential American zoologist Libbie Hyman.27 Hyman’s view, generally known as the “Coelomata” hypothesis, was based on her analysis of anatomical characteristics, mainly germ (or primary tissue) layers, planes of body symmetry, and especially the presence or absence of a central body cavity called the “coelom,” which gives the hypothesis its name. In the Coelomata hypothesis, the bilaterian animals were classified in three groups, the Acoelomata, the Pseudocoelomata, and the Coelomata, each encompassing several different bilaterian animal phyla.28 (See Fig. 6.1a.) Then, in the mid-1990s, a very different arrangement of these animal groups was proposed based on the analysis of a molecule present in each (the 18S ribosomal RNA; see Fig. 6.1b). The team of researchers who proposed this arrangement published a groundbreaking paper in Nature with a title that surprised many morphologists: “Evidence for a Clade of Nematodes, Arthropods and Other Moulting Animals.”29 The paper noted the conventional wisdom, based on Hyman’s hypothesis, that arthropods and annelids were closely related because both phyla had segmented body plans.30 But their study of the 18S ribosomal RNA suggested a different grouping, one that placed arthropods close to nematodes within a group of animals that molt, which they called “Ecdysozoa.” This relationship surprised anatomists, since arthropods and nematodes don’t exactly look like kissing cousins. Arthropods (such as trilobites and insects) have coeloms, whereas nematodes (such as the tiny worm Caenorhabditis elegans) do not, leading many evolutionary biologists to believe nematodes were early branching animals only distantly related to arthropods.31 The Nature paper explained how unexpected this grouping of arthropods and nematodes was: “Considering the greatly differing morphologies, embryological features, and life histories of the molting animals, it was initially surprising that the ribosomal RNA tree should group them together.”32 [and S. Meyer goes on several pages building his case based on several distinct arguments and many references to scientific papers] Stephen Meyer - Darwin's Doubt - (pp. 122-123) ,,,Moreover, when complex parts that are shared by different animals aren't distributed in a treelike pattern, that wreaks havoc on the assumption of homology that's used to build phylogenetic trees. In other words, this kind of extreme convergent evolution refutes the standard assumption that shared biological similarity (especially complex biological similarity like a brain and nervous system) implies inheritance from a common ancestor. If brains and nervous systems evolved multiple times, this undermines the main assumptions used in constructing phylogenetic trees, calling into question the very basis for inferring common ancestry.,,, http://www.evolutionnews.org/2014/02/the_ghost_of_te081981.html
bornagain
October 26, 2015
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bFast -- every one of your points indicates utterly basic misunderstanding. Random ones include: ensemble.org has a great many tools, but you seem to think it's just one thing. We don't even know which ones the YouTuber used, with what settings. Various tools have various usages, and typically with web tools the usual purpose is finding data and very basic explorations, not thorough phylogenetic analyses. Yet you assume the programmers would have your goals, instead of the typical data-retrieval and basic explorations goal. That's just for starters. You also clearly don't get the stochasticity inherent in data when there are just a few mutations in the dataset, for example. But why should I spend more time when you just misunderstand and/or distort everything I say? If you really don't believe me, don't ask me to do all your work for you. I quoted the quote pointing out the data problem with one of the sequences used in YouTube video, yet you still seem to think even that is up for debate. Given all of this -- which comes down to laziness and the williness to confidently expound opinions without studying an issue first -- why should I then volunteer to do all of the work for you? You should yourself go on Genbank, download a bunch of FoxP1, FoxP2, and FoxP3 sequences from mammals, align each gene by hand yourself, and count up the differences. Or, you could learn some basic alignment and phylogeny software. It's fine if you don't want to, but why should anyone who is familiar with all this stuff after years of coursework and practical research experience take your totally uninformed opinion seriously?NickMatzke_UD
October 26, 2015
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@Mung: "Well, we do know what you don’t do." And what would that be ... ? "Let’s try this again. There was a bug in a piece of software. You pointed out that Tomkins used that software while the bug was present. Who else used that software while the bug was present? No one? You don’t care?" Haven't I already addressed that in post #24? Maybe lots of people used the software while the bug was present. Maybe one of them discovered the bug. Maybe they reported it to the developers. Maybe they fixed (tried to fix?) it in the next release. Maybe they even sent an email to "blast-announce" to tell everyone about it? Do you have a reason for bringing this up again that wasn't addressed in my previous post? I'll check back in later .. enjoy!ThickPython
October 26, 2015
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Thickpython Would you care to ask him? He has publicly stated.that he does not accept common descent and neither does he agree with the Darwinian tree of life. He said its an artifact that is not holding up. I agree with him.Andre
October 26, 2015
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bornagain, I know you to be a treasure trove of interesting articles. Do you have anything on this topic? I seem to recall articles that say that using genetics to reconstruct the tree have proven difficult at best.bFast
October 26, 2015
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Andre: "Dr. Craig Venter knows allot more about this than you, me or Nick Matzke and he denies common descent and a rooted tree." No, Craig Venter does not deny common descent. Yes, he denies a simplistic, singly rooted tree, but then again so do I. These things have nuance, Andre. I suggest you spend more time reading, less time spouting.ThickPython
October 26, 2015
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Nick, thanks for the answers (except the derogatory, self-aggrandizing comments, of course.) Let me respond to each of your points: "The video you link just quotes this video." Actually it doesn't "just". I was perfectly aware that the one quoted the other. I chose to publish the one I did because it added commentary that I thought was useful. 1 - Not all sequence entries in all databases are complete ... I am a computer programmer of some skill. I do not have the expertise to separate intron from exon in a DNA sequence. However, I can envision what the results of "incomplete" or "alignment is screwed up" would look like. If I were writing the program, they would not look like "oh, it doesn't look like an chimp, it looks like a squirrel". Rather my results would be, "Oh, it doesn't look like a chimp, it looks like something extremely different altogether. 2 - "Not every web program that produces some kind of tree is doing a formal phylogenetic analysis. Trees of sequence similarity or BLAST scores are just versions of “distance measures”, these are the crudest phylogenetic methods" They are not siting "the crudest phylogenetic methods", they are specifically siting ensembl.org. Do you have reason to believe that ensembl.org merely uses "distance measures"? It certainly doesn't appear to, especially when it images the bar graph of the relevant DNA. 3 - "When there are only a few mutations between sequences, just random chance in the mutation process can accidentally produce slightly different trees." How so? It would seem to me that once you have any mutations in the LUCA of two species, that mutation should show up in both. If you have no such mutation, then the ensembl program appears to place the two species on the same level, rather than shifting one name to the right by one notch. 5 - "Phylogenies have *degrees* of similarity/difference. It’s not all or nothing." It should be very nearly all or nothing. As I play my mental mutation/generation engine, I can see two possible ways to not get "all or nothing": > The extremely unlikely scenario of a mutation happening that "undoes" a previous mutation (particularly unlikely in a low mutation environment. > The scenario species that had spats of separation followed by spats of reconnection -- maybe. "Overall, we see statistically huge agreement between different sequence datasets for the same basic phylogenetic tree. This is Dawkins’s point." I would say that overall we MUST see near perfect agreement between different species or UCD is toast. Lastly, please provide me with similar trees for the FOXP1, P2 and P3, trees that include at least 50% of the species that are generated via ensembl. Please allow me to see that "proper data" produces the UCD-like tree. As it is, I have held to UCD for a long time. This data alone, if validated, throws my belief in UCD out the window.bFast
October 26, 2015
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@Andre: "You said you were playing poker ????" Ha! Yes, yes I did. I wasn't referring to poker, but even if I was - poker is a game of skill, not luck. It's not "gambling". "But what I would ask is what would the relationships look like if there was no inference to a common ancestor and we build an unrooted tree from the data?" I think I know what you're trying to get at. If creationism were true, then phylogenetic trees [would | could | should] resemble an "orchard" rather than a single rooted tree, yeah? This is precisely why baraminologists struggle so hard when it comes to the demarcation of Biblical kinds. They want to use genetic data to delineate kinds, but they know that the data implies a continuous line of descent, rather than there being a "cat tree" and a "dog tree". For example, we all agree (or do we?) that all cats descended from an original "cat kind", and we use phylogenetic methods to construct that tree. Unfortunately for creationists, the "cat kind" is an arbitrary distinction when looking at the genetic data. The method you use to join "big cats" to "small cats" is the same method you use to join "cats" to "dogs", and then "cats and dogs" to "carnivorans". Rinse and repeat. If this "orchard" were a true representation of reality, then it would be obvious in phylogenetics. The root of the "cat tree" would bear no resemblance to the root of the "dog tree".ThickPython
October 26, 2015
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Thickpython Darwin's tree of life is not a true reflection of the domains of life on this planet, there are multiple life forms and they do not all fit into a rooted tree. Dr. Craig Venter knows allot more about this than you, me or Nick Matzke and he denies common descent and a rooted tree.Andre
October 26, 2015
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Please read my question post 188... If we assume no common ancestor and we build an unrooted tree what will we get? Let me be clear I'm not opposed to UCD. I just don't think there is enough convincing evidence for it. Circumstantial evidence yes, enough for a conviction not yet.Andre
October 26, 2015
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"Oh so when it conflicts with your beliefs it’s wrong? Gotcha." The data is in accord with common descent - that's precisely why I believe it. When the data is not in accord with common descent, I investigate. Every investigation to date has been resolved by one of the first four points that Nick put forward. When a theory responds well to challenges and always comes out the winner, then maybe .. just maybe .. that theory is true?ThickPython
October 26, 2015
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ThickPython:
I get called a “professional gambler” from time to time and it’s always from people who have no idea about what I actually do.
Well, we do know what you don't do. Let's try this again. There was a bug in a piece of software. You pointed out that Tomkins used that software while the bug was present. Who else used that software while the bug was present? No one? You don't care?Mung
October 26, 2015
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NickMatzke_UD:
Adam and Eve laid eggs! You heard it here first, folks!
You're clueless, Matzke. You have no clue what the words Adam and Eve mean other than what you learned in Sunday school from some fundamentalist preacher. The Adam and Eve story in the garden of Eden is purely metaphorical. Adam or rather, "the Adam", as the original Hebrew has it, means mankind. Yahweh Elohim first created the Adam in their image and made them male and female (not men and women, as most people believe) and told them to go forth and multiply. My interpretation is that the first humans were hermaphrodites and could self reproduce. Then Yahweh decided that this was not a good idea because the Adam were lonely even after spending a long time classifying all the animals that existed at the time. So he changed them and separated them into two groups, men and women. It is not farfetched to suppose that, in the beginning, the Adam were designed to procreate via egg laying. After all, this is not unheard of among mammals. If you are Yahweh and you have great genetic engineering resources at your disposition, this is perfectly plausible.Mapou
October 26, 2015
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Thickpython You said you were playing poker ???? None of those would be my questions. But what I would ask is what would the relationships look like if there was no inference to a common ancestor and we build an unrooted tree from the data?Andre
October 26, 2015
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@Andre: "I’ve already refuted Nick’s claim with an actual paper are you sure as a gambler you want to back the wrong horse?" "Refuted"? Maybe you should pose your little conundrum to the authors of the paper. What would you like to ask them - is phylogenetics useless? Should we throw out P-values? Is common descent false? I already know what they would say, so I'm happy to "gamble" if you want to use that word. I get called a "professional gambler" from time to time and it's always from people who have no idea about what I actually do.ThickPython
October 26, 2015
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So Nick what you are saying then is scientists with a certain biases cherry pick the data. Got it thanks.Andre
October 26, 2015
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Nick, Do you still contend that a design inference would not necessarily be warranted if you encountered 500 coins on a table all heads? Just checking.Barry Arrington
October 26, 2015
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Thickpython Oh so when it conflicts with your beliefs it's wrong? Gotcha.Andre
October 26, 2015
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177 AndreOctober 26, 2015 at 1:03 pm Nick Matzke Overall, we see statistically huge agreement between different sequence datasets for the same basic phylogenetic tree. Really? some scientists noticed this apparent agreement too and cautioned against it! phylogenomics is becoming synonymous with evolutionary analysis of genome-scale and taxonomically densely sampled data sets. In phylogenetic inference applications, this translates into very large data sets that yield evolutionary and functional inferences with extremely small variances and high statistical confidence (P value). However, reports of highly significant P values are increasing even for contrasting phylogenetic hypotheses depending on the evolutionary model and inference method used, making it difficult to establish true relationships. http://mbe.oxfordjournals.org/.....2/457.full It’s a very good thing that some scientists still actually do science, unlike Dawkins, Prof Moran, Lawrence Krauss, Jerry Coyne, and Nick Matzke who just advocate their own religion. There are many things people can be uncertain about but one thing you can be absolutely sure of is this, when its from Nick Matzke’s mouth you can confidently know it is absolute rubbish. Um...you are misinterpreting your quote. P-values have little to do with inferring phylogenies. In the paper, they are talking about p-values as ways of detecting selection, e.g. by rejecting a null hypothesis of neutral evolution for some particular gene. Such a test requires a phylogeny, but estimating the phylogeny is a different thing. Now, there are various issues with inferring phylogenies from massive phylogenomic datasets, which the paper also talks about apart from the p-value discussion, but these boil down to basically (1) lots of sequence, but poor taxon sampling, and (2) heavily saturated sequence and sequence evolution models that start to break down when sequences are saturated. Some scientists have had the idea that by throwing more and more saturated sequence at very remote divergences, phylogenetic resolution will improve. This was feasible to try due to the cheapness of genome sequencing, but was never that great of an idea if you understood the issue of sequence saturation. If you want to resolve, say, divergence 300 million years ago, it's better to use 20 or so well-conserved genic sequences for 500 taxa than to do full genomes of 20 species and throw all of their unconserved junk DNA etc. into the analysis. Anyhow, these issues basically apply to ancient divergence that were close in time. No matter how these are resolved in detail, the trees are still basically pretty similar. Learn about the statistics of tree similarity please.NickMatzke_UD
October 26, 2015
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@Andre This is a great opportunity for you to do some of your own research, rather than have everything spoon fed to you. 1. and 2. The software used to automatically annotate the genomes isn't perfect. Humans can spot these errors. In fact, one of the ways to spot these sort of errors is when the data are in apparent conflict with common descent! :D 3. Dude, you can demonstrate this to yourself. 4. Google it. I know Biologos have a very easy to understand explanation of it. 5. If you understand points #1 - #4, this becomes self-evident. 6. And neither does your mum. Sorry, "mom".ThickPython
October 26, 2015
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If Nick Matzke calls you silly it's certain you are onto something. Nick I've posted S. Kumar's paper did you actually read it? It cautions exactly on your idea about statistically huge agreemens between the different sequence datasets. So is he a liar for Jesus or are you a liar for Darwin?Andre
October 26, 2015
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Thickpython I've already refuted Nick's claim with an actual paper are you sure as a gambler you want to back the wrong horse?Andre
October 26, 2015
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4. The lineages are incomplete….. blah blah blah why are you so sure of your position?
No, Incomplete Lineage Sorting means the *sorting* is incomplete. And you are a silly person. Try google, man.NickMatzke_UD
October 26, 2015
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@bFast (#119, #153, #160, #167, #169) Yeah sorry, I saw this yesterday and meant to respond, but poker was beckoning :) As Nick Matzke has pointed out, the video you linked to is just a rehash of Hugenex2000's video, and those comments that Nick refers to are mine (i.e. I am roohif on Youtube). The person behind that Youtube channel is a guy named Eugene and Eugene is very sloppy in his analyses. I interacted with him over the course of about a year but he no longer makes videos. I strongly endorse Nick's comments regarding the data on these websites - he is spot on for all 6 of his points.ThickPython
October 26, 2015
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Nick Matzke
Overall, we see statistically huge agreement between different sequence datasets for the same basic phylogenetic tree.
Really? some scientists noticed this apparent agreement too and cautioned against it!
phylogenomics is becoming synonymous with evolutionary analysis of genome-scale and taxonomically densely sampled data sets. In phylogenetic inference applications, this translates into very large data sets that yield evolutionary and functional inferences with extremely small variances and high statistical confidence (P value). However, reports of highly significant P values are increasing even for contrasting phylogenetic hypotheses depending on the evolutionary model and inference method used, making it difficult to establish true relationships.
http://mbe.oxfordjournals.org/content/29/2/457.full It's a very good thing that some scientists still actually do science, unlike Dawkins, Prof Moran, Lawrence Krauss, Jerry Coyne, and Nick Matzke who just advocate their own religion. There are many things people can be uncertain about but one thing you can be absolutely sure of is this, when its from Nick Matzke's mouth you can confidently know it is absolute rubbish.Andre
October 26, 2015
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Moran, for all your bluff and bluster as to how great of a scientist you and all the other Darwinists are, I find that you, and they, do not even have the first clue as to how science actually works. The question that needs to be answered with real time empirical evidence, and not with rhetoric, by you and and all the other Darwinists is really quite simple. "Where did the information come from?" Yes, the question is so ridiculously simple that even someone who thinks he is smarter than Almighty God, like you apparently do Dr. Moran, can understand it.
Information Enigma - (Where did the information come from?) - video https://www.youtube.com/watch?v=aA-FcnLsF1g
It is not as if the empirical threshold is too high to be met either. In fact, if Darwinism were actually true, you should have countless thousands of examples from thousands of experiments that you could point to so as to falsify ID. Yet you can't point to even one example of unguided material processes creating non-trivial functional information
In fact, my argument for intelligent design is open to direct experimental rebuttal. Here is a thought experiment that makes the point clear. In Darwin’s Black Box (Behe 1996) I claimed that the bacterial flagellum was irreducibly complex and so required deliberate intelligent design. The flip side of this claim is that the flagellum can’t be produced by natural selection acting on random mutation, or any other unintelligent process. To falsify such a claim, a scientist could go into the laboratory, place a bacterial species lacking a flagellum under some selective pressure (for mobility, say), grow it for ten thousand generations, and see if a flagellum--or any equally complex system--was produced. If that happened, my claims would be neatly disproven." Michael Behe - clipped from: Confirmation of intelligent design predictions http://reasonandscience.heavenforum.org/t1659-confirmation-of-intelligent-design-predictions The Law of Physicodynamic Incompleteness - David L. Abel Excerpt: "If decision-node programming selections are made randomly or by law rather than with purposeful intent, no non-trivial (sophisticated) function will spontaneously arise." If only one exception to this null hypothesis were published, the hypothesis would be falsified. Falsification would require an experiment devoid of behind-the-scenes steering. Any artificial selection hidden in the experimental design would disqualify the experimental falsification. After ten years of continual republication of the null hypothesis with appeals for falsification, no falsification has been provided. The time has come to extend this null hypothesis into a formal scientific prediction: "No non trivial algorithmic/computational utility will ever arise from chance and/or necessity alone." https://www.academia.edu/Documents/in/The_Law_of_Physicodynamic_Incompleteness
bornagain
October 26, 2015
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