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Antibody affinity maturation as an engineering process (and other things)

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In Kairosfocus’ very good thread about functional complexity, I posted about antibody affinity maturation as an example of a very complex engineering process embedded in biological beings. Both Kairosfocus and Dionisio suggested that I could open a new thread to discuss the issue. When such good friends ask, I can only comply.  🙂

For lack of time, I will try to be very simple.

First of all, I paste here my original post (#6 in the original thread):

KF:

Thank you for the very good summary. Among many other certainly interesting discussions, we may tend to forget sometimes that functionally specified complex information is the central point in ID theory. You are very good at reminding that to all here.

I would like to suggest a very good example of multilevel functional complexity in biology, which is often overlooked. It is an old favourite of mine, the maturation of antibody affinity after the initial immunological response.

Dionisio has recently linked an article about a very recent paper. The paper is not free, but I invite all those interested to look at the figures and legends, which can be viewed here:

http://www.nature.com/nri/jour…..28_ft.html

The interesting point is that the whole process has been defined as “darwinian”, while it is the best known example of functional protein engineering embedded in a complex biological system.

In brief, the specific B cells which respond to the epitope (antigen) at the beginning of the process undergo a sequence of targeted mutations and specific selection, so that new cells with more efficient antibody DNA sequences can be selected and become memory cells or plasma cells.

The whole process takes place in the Germinative Center of lymph nodes, and involves (at least):

1) Specific B cells with a BCR (B cell receptor) which reacts to the external epitope.

2) Specific T helper cells

3) Antigen presenting cells (Follicular dendritic cell) which retain the original epitope (the external information) during the whole process, for specific intelligent selection of the results

4) Specific, controlled somatic hypermutation of the Variable region of the Ig genes, implemented by the following molecules (at least):

a) Activation-Induced (Cytidine) Deaminase (AID): a cytosine:guanine pair is directly mutated to a uracil:guanine mismatch.

b) DNA mismatch repair proteins: the uracil bases are removed by the repair enzyme, uracil-DNA glycosylase.

c) Error-prone DNA polymerases: they fill in the gap and create mutations.

5) The mutated clones are then “measured” by interaction with the epitope presented by the Follicular DC. The process is probably repeated in multiple steps, although it could also happen in one step.

6) New clones with reduced or lost affinity are directed to apoptosis.

7) New clones with higher affinity are selected and sustained by specific T helper cells.

In a few weeks, the process yields high affinity antibody producing B cells, in the form of plasma cells and memory cells.

You have it all here: molecular complexity, high control, multiple cellular interactions, irreducible complexity in tons, spacial and temporal organization, extremely efficient engineering. The process is so delicate that errors in it are probably the cause of many human lymphomas.

Now, that’s absolute evidence for Intelligent Design, if ever I saw it. :)

The most interesting answers came from Aurelio Smith and sparc. I have already answered AS’s comment in the original thread. Spark’s comments were more specific, so I paste them here  (#58 and 59):

You haven’t looked up evolution of AID, did you?

and

BTW, you let out the part of the B-cell development that occurs without any antigen. Lots of mutations, rearragements and selection. Where and how does ID interfere in these processes. Especially, in cases of man made synthetic artificial antigens that were not present 50 years ago?

OK, I will make just a couple of comments on these two points here, and let the rest to the discussion:

a) My point was not specifically about the evolution of the individual proteins in the system, but about the amazing complexity of the whole system. So, I have not done any detailed analysis of the individual proteins I quote. However, I will look at that aspect. As sparc seems aware of specific information about the evolution of AID, I invite him ot provide some references, and we can certainly go on from there.

b) I did not “let out” the part of the B-cell development. I simply focused on affinity maturation. However, the part sparc alludes to is extremely interesting too, so I will mention here in very general lines how it works, and why it is another wonderful example of intelligent engineering. And we can obviously discuss this second aspect too.

In brief, the adaptive immune system must solve the problem of reacting t a great number of potential antigens/epitope, which are not known in advance (I will use “epitope” from now on, because that is the immulogically active part of an antigen).

So, the two branches of the adaptive immune system (B system and T system) must be “prepared” to recognized possible epitopes coming from the outer world. They do that by a “sensor” which is the B cel receptor (BCR) in the B system, and the T cell receptor (TCR) in the T system.

Let’s focus the discussion on the B system.

To recognize the greatest number of possible epitopes (IOWs, of possible small biochemical configurations, mainly of proteins but also of other molecules), the B immune system builds what is usually known as the “basic repertoire”.Very simply, B cells underso a process of somatic genetic differentiation, essentially based on the recombination of VDJ genes, which generates a basic repertoire of different B clones with specific variable genes for the heavy and light chain, IOWs a specific BCR. In that sense, immune cells are different from other somatic cells, because they have a specific genetic recombination of the variable chains of the BCR (and therefore of the antibody that they will produce.

No one knows exactly how big that repertoire is in each individual, but new techniques are helping much in studying it quantitatively. From what I have read, I would say that the size is probably somewhere between 10^6 and 10^9 (more or less the total number of B cells in an organism).

Now, what is the purpose of this basic BCR (antibody) repertoire? We can consider it as a “network” of lower affinity antibodies covering in a loose way the space of possible epitope configurations. That repertoire is generated blindly (IOWs, without any information about specific antigens) by a process of sophisticated genetic engineering (VDJ recombination and other factors), which again uses random variation in a controlled way to generate diversity.

So, to sum up. two different complex algorithms act to ensure efficient immune responses.

1) The first one generates a “blind” repertoire of lower affinity antibodies covering as well as possible the whole space of configurations of possible epitopes.

2) The second one (affinity maturation) refines the affinity of the B cells selected in the primary response (from the basic repertoire) so that they become high affinity, specialized memory cells. This is the process I described in the beginning, in my post.

Both processes are wonderful examples of sophisticated engineering and irreducibly complex systems, and they are completely different one from the other. Both processes work together in sequence in a sophisticated and irreducibly complex meta-system.

Both use controlled random variation to generate diversity. The second process also uses intelligent selection based on existing information from the environment (the epitope conserved in the Follicular GC cell).

All that is very brief, and in no way covers the whole complexity of what is known. So, let’s open the discussion.

Comments
Dionisio @ 431
My post #410 graciously answered your post #409
Thanks for your graciousness.
Don’t forget that you made a gross conceptual mistake when you stated that the zygote is not a single cell. Too late now,
Ha, cutting off half the sentence is not gracioius. Please be gracious again and quote full sentences.
PS. By now the onlookers/lurkers may be very concerned about your constant failure to stay seriously focused in on the main subject of this discussion.
Hmm...May be you will understand comment # 427 and find some relevance ? BTW,
You have still not answered comment # 409 :- Flash software- right?
Me_Think
February 17, 2015
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Me_Think: I really think that Wagner and you don't know what you are talking about. I have tried to understand what you mean, and I think that in the end you are just saying that in "many dimensions" (whatever that means in biology) it is easier to go out of some functional space. We certainly agree that it is easy to go out of a functional space. That's exactly what happens when a single nucleotide substitution generates a mutation which inactivates a protein which is essential: you know, that's what genetic mendelian diseases incompatible with life are. The problem is not how easy it is to go out of a functional territory. The problem is how likely it is to land in another functional territory. In particular, in biology, "another functional territory" means a new configuration which has to have three properties: a) It must be functional b) It must be naturally selectable (IOWs it must confer a reproductive advantage and expand and be fixed). Otherwise, no probabilistic advantage is reached. c) It must be a step towards some future new complex configuration which is both functional and selectable (otherwise, all we have is a microevolutionary event which is not a step towards a macroevolutionary result, and that is exactly what we observe in all known microevolutionary events). The simple problem is not that it is difficult to leave the functional island, but that the functional island is surrounded by oceans of non functional, non selectable configurations, and almost all of them are unrelated to possible highly complex functional and selectable configurations, like the specific configuration of ATP synthase, just to give an old example. That's why "improbabilities of ID" do matter. They are not "improbabilities of ID". They are improbabilities of reality. And you don't know what you are talking about.gpuccio
February 17, 2015
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#430 Me_Think You're wrong again, buddy. My post #410 graciously answered your post #409. Did you miss it? Read it carefully. My message was very clear to anyone who is willing to understand it. Don't forget that you made a gross conceptual mistake when you stated that the zygote is not a single cell. Too late now, everybody has seen how you have avoided admitting to your error. Even one of your party comrades had to come to your rescue, but it was too little, too late. Unless y'all are undercover agents working for this blog, trying to make the atheists look foolish. If that's the case, then you're doing a great job and they should give you a bonus. :) PS. By now the onlookers/lurkers may be very concerned about your constant failure to stay seriously focused in on the main subject of this discussion.Dionisio
February 17, 2015
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Dionisio @ 429 Again (Dionisio insistence style:)
You have still not answered comment # 409 :- Flash software- right?
Me_Think
February 17, 2015
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#426 Me_Think No, these comments won't be deleted, because the ID folks want the onlookers/lurkers to read them too. After all, some commenters here have them all in mind when they write their comments. Are you an undercover agent working for this blog? Is that why you seem always so confused? Are you just pretending it, as per your contract with the blog admin? Does your contract allow you to reveal it publicly? :)Dionisio
February 17, 2015
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Me Think- The "improbabilities of ID" are all your position has. If you had something else we could discuss that.Joe
February 17, 2015
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gpuccio @ 423
The importance of the paper is that it documents, for the first time, the huge barriers that exist in the topological space of protein function, not only for the emergence of new structures, like new domains or superfamilies, but even for the “simple” transition in an already existing family, where usually microevolutionary events are supposed to be able to tweak an existing structure from one function to a slightly different one
This all boils down to impossibility of search landscape ( Axe et al.).I have discussed this in various threads.These are the quotes from the threads. HTH:
Imagine a solution circle (the circle within which solution exists) of 10 cm inside a 100 cm square search space. The area which needs to be searched for solution is pi x 10 ^2 = 314.15 The total Search area is 100 x 100 = 10000. The % area to be searched is (314.15/10000) x 100 = 3.14% In 3 dimensions,the search area will be 4/3 x pi x 10^3 Area to search is now cube (because of 3 dimensions) = 100^3. Thus the % of area to be searched falls to just 4188.79/100^3 = 0.41 % only. Hypervolume of sphere with dimension d and radius r is: (Pi^d/2 x r^d)/r(d/2+1) HyperVolume of Cube = r^d At 10 dimensions, the volume to search reduces to just: 0.000015608 % But in nature, the actual search area is incredibly small. As wagner points out in Chapter six, In the number of dimensions where our circuit library exists—get ready for this—the sphere contains neither 0.1 percent, 0.01 percent, nor 0.001 percent. It contains less than one 10^ -100th of the library ==== A ball (representing the search volume) with constant radius occupies ever-decreasing fractions of a cube’s volume as dimensions increases. I will quote Wagner himself: This volume decreases not just for my example of a 15 percent ratio of volumes, but for any ratio, even one as high as 75 percent, where the volume drops to 49 percent in three dimensions, to 28 percent in four, to 14.7 percent in five, and so on, to ever-smaller fractions. What this means: In a network of N nodes and N-1 neighbors, if in 1 dimension, 10 steps are required to to discover new genotype/procedure, in higher dimension, this 10 steps reduces drastically to fraction of 1 step ! ====== Imagine your Facebook network. Your immediate friends will have interest similar to yours. As you venture out in your network and traverse your friend’s friend network, or further on to friend’s friend’s friend network, you will encounter someone with totally different interest (akin to new function – this may or may not help in generating a new phenotype). Now imagine this Facebook network of yours balled up.It took many steps to reach the node where the person with a totally different interest exist on a 2d network. In your balled network, you have to travel maximum half of the steps to reach the same person. Now imagine this in higher and higher dimensions (perhaps like crushing the balled Facebook further). You will find you have to travel not even a fraction of 1 step to reach the person, and you will find a huge number of persons with dissimilar interests (akin to new functions – many of it helping to build a new phenotype or at-least help this generation survive better to start the search all over again with the advantage of the new phenotype) in just that fraction of 1 step, and that’s the reason improbabilities of ID don’t matter.
Me_Think
February 17, 2015
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Aurelio Smith @ 415
Me_Think is therefore half-right in saying:..
Thank you, but as I said in comment # 409
Dionisio and me were just starting to have fun.
Dionisio @ 417
Unless he will dare to do it himself this time? PS. This side discussion, unnecessarily provoked by Me_Think, is off topic in this thread, therefore it could be moved out to another thread.
You brought up Zygote- not me. I have no problem if these comments are deleted, but you still haven't answered( Dionisio insistent style):
You have still not answered comment # 409 :- Flash software- right?
Me_Think
February 17, 2015
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gpuccio Anything related to this discussion in the following link? https://uncommondescent.com/intelligent-design/mystery-at-the-heart-of-life/#comment-548888Dionisio
February 17, 2015
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#423 gpuccio The hurdles described in your comments and in the referred paper seem numerous and difficult. But let's think abstractly and assume for a moment that all those challenges are 'somehow' (borrowing a term commonly seen in some 'scientific' literature these days) overcome and that all the required proteins can be 'somehow' produced, through genetic expression or another way. Does that get us the amazingly complex interwoven mechanisms that researchers see in the biological systems? IOW, the protein availability is a necessary condition, but is it sufficient, in order to have those elaborate cellular and molecular choreographies orchestrated within the biological systems? Are there other factors to consider?Dionisio
February 17, 2015
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Silver Asiatic: By the way, here is the abstract of the Gauger paper:
Enzymes group naturally into families according to similarity of sequence, structure, and underlying mechanism. Enzymes belonging to the same family are considered to be homologs--the products of evolutionary divergence, whereby the first family member provided a starting point for conversions to new but related functions. In fact, despite their similarities, these families can include remarkable functional diversity. Here we focus not on minor functional variations within families, but rather on innovations--transitions to genuinely new catalytic functions. Prior experimental attempts to reproduce such transitions have typically found that many mutational changes are needed to achieve even weak functional conversion, which raises the question of their evolutionary feasibility. To further investigate this, we examined the members of a large enzyme superfamily, the PLP-dependent transferases, to find a pair with distinct reaction chemistries and high structural similarity. We then set out to convert one of these enzymes, 2-amino-3-ketobutyrate CoA ligase (Kbl2), to perform the metabolic function of the other, 8-amino-7-oxononanoate synthase (BioF2). After identifying and testing 29 amino acid changes, we found three groups of active-site positions and one single position where Kbl2 side chains are incompatible with BioF2 function. Converting these side chains in Kbl2 makes the residues in the active-site cavity identical to those of BioF2, but nonetheless fails to produce detectable BioF2-like function in vivo. We infer from the mutants examined that successful functional conversion would in this case require seven or more nucleotide substitutions. But evolutionary innovations requiring that many changes would be extraordinarily rare, becoming probable only on timescales much longer than the age of life on earth. Considering that Kbl2 and BioF2 are judged to be close homologs by the usual similarity measures, this result and others like it challenge the conventional practice of inferring from similarity alone that transitions to new functions occurred by Darwinian evolution.
The objection that evolution would not go from one current protein to another current protein, but rather from a common progenitor to the two current proteins is really silly. First of all, we have not the hypothesized "common progenitor", and the only sensible way to explore the topology of the functional space is by comparing real proteins, and not fairy tales. That's how science works. Second, the paper is not dealing with the emergence of new protein families, but with the much "lesser" hypothesis of the derivation of one protein from another one inside a definite protein family. Indeed, the hypothesis tested is the possible transition between two proteins which have been chosen because they are extremely similar, especially at structure level. Even so, the paper shows that a transition between the two forms is much more difficult than usually thought. Now, let's try to imagine how easy it would be to find the specific sequences of hundreds of AAs that are necessary for the working of complex proteins, like ATP synthase, which have emerged practically "from nothing" in the oldest time of OOL. The importance of the paper is that it documents, for the first time, the huge barriers that exist in the topological space of protein function, not only for the emergence of new structures, like new domains or superfamilies, but even for the "simple" transition in an already existing family, where usually microevolutionary events are supposed to be able to tweak an existing structure from one function to a slightly different one. Moreover, critics can well check or falsify these results by showing how easy it can be to derive new functional proteins from similar, existing proteins, by a random quantifiable process of mutations.gpuccio
February 17, 2015
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Curly Howard Can you read carefully the OP, posts 326, 327, 394, and then provide at least one reference to any paper that presents a serious, comprehensive, logically coherent counterargument?Dionisio
February 17, 2015
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"Excellent for its clarity" Is code for "the content was crap." I mean the only real experimental results are in the last figure, and it appears that the plates shown are only the controls. Not to mention it's also the only figure that doesn't even have a legend, just a link that leads to nowhere for me. Guess I shouldn't really be surprised.Curly Howard
February 17, 2015
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gpuccio
I think that the Gauger paper is very good, and it is an example of a very realistic and empirical way of approaching a very difficult issue (the topology of the protein functional space), which is crucial to the ID – neodarwinism debate. Some of our interlocutors complain that ID scientists do no research, and then are quite ready to throw “mock and scorn” on any ID research as soon as they see it, on no reasonable basis at all. Anyone is free to judge their behaviour.
Great points. I thought the Gauger paper was excellent for it's clarity. Then it's as you say - she is criticized for doing the work. But do any of the critics improve on the work that was done? No - they just sit back and condemn it. I think it's quite right to see what is happening and make a judgement about the behavior.Silver Asiatic
February 17, 2015
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Yes, I have conceded because cross has provided such an intelligent refutation and the other two geniuses are bringing up such well-educated posts...not. And calling the gauger paper the "best attempt" is quite a twist. They come to the conclusion that one current protein couldn't have evolved from another current protein (which isn't what evolution even says happened) based on single amino acids changes while looking for a very specific function (assuming evolution occurred in this way is asinine).They knew what the results were going to be before they even started writing, in fact i didn't even see any original research when I skimmed the paper, where is their supplemental data? The paper is a joke and yet I it's totes here as "very good."Curly Howard
February 17, 2015
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Silver Asiatic: I think that the Gauger paper is very good, and it is an example of a very realistic and empirical way of approaching a very difficult issue (the topology of the protein functional space), which is crucial to the ID - neodarwinism debate. Some of our interlocutors complain that ID scientists do no research, and then are quite ready to throw "mock and scorn" on any ID research as soon as they see it, on no reasonable basis at all. Anyone is free to judge their behaviour.gpuccio
February 17, 2015
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#415 Aurelio Smith
Me_Think is therefore half-right in saying
No, he's wrong in stating that the zygote is not one cell. That's a fundamental biology concept, very basic. The majority of the cells in our bodies are diploid. That term generally is related to the number of chromosomes in each cell nucleus. BTW, why did he need one of his party comrades to come to his rescue and admit he's at least half-wrong? Couldn't he admit it himself? The original statement he was trying to criticize was that each of us at some point started as a single cell. His failed attempt to criticize that simple statement has backfired. Why did he have to get into this kind of unnecessary embarrassment in order to criticize such a simple statement? Was there something in that statement that bothered him so much? Can any of his party comrades explain that behavior for him? Unless he will dare to do it himself this time? PS. This side discussion, unnecessarily provoked by Me_Think, is off topic in this thread, therefore it could be moved out to another thread.Dionisio
February 17, 2015
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Aurelio Smith: And half wrong. But he is probably only kidding, and it is not really the case of "defending" him. :) He should have said: the zygote is a single cell, derived from the union of two haploid gametes. The important point is that the zygote is a single, individual cell, from the moment it is born to the moment it divides. Its origin is in a way special. But it could be interesting to remember that there may be zygotes derived from the genetic information of one cell (and the epigenetic information of another one), like in cloning.gpuccio
February 17, 2015
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#401 Me_Think
I disagree. Every cell can be further shown to be just combination of fermions. BTW zygote is not a single cell, it is made of 2 gamete cells.
Do you still stand publicly by your statement affirming that a zygote is not a single cell? Or do you prefer to humbly admit your mistake and accept the correction written by gpuccio @407? The term 'single' in this context indicates that it is one cell. This term is commonly used in biological research in order to emphasize the distinction from grouped cells. The same term could be used in reference to other diploid cells.Dionisio
February 17, 2015
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MT:
Every cell can be further shown to be just combination of fermions. BTW zygote is not a single cell, it is made of 2 gamete cells.
A zygote is a diploid cell. Also I don't think it is OK to call a gamete a cell- even though it is called a cell- because they cannot reproduce. They seem to more akin to formed elements than to cells.Joe
February 17, 2015
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ch
I assume you would agree that a paper that actually tries to calculate this probability is completely unsupported, no?
Not completely unsupported. It's the best attempt that has been made yet and by doing it we learn more about the challenge.Silver Asiatic
February 17, 2015
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Dionisio @ 410 Dionisio style answer: Read comment # 406 You have still not answered comment # 409 :- Flash software- right?Me_Think
February 17, 2015
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#409 Me_Think Please, quote the exact text where I wrote whatever you claim that I wrote. Can you try better next time you write something here?Dionisio
February 17, 2015
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GP @ 407 Oh God. Why is your timing so bad? Dionisio and me were just starting to have fun. Dio @ 408, You haven't answered this: Well? Is your claim now that gametes are not haploid cell?! I fervently hope that educational software you were talking about is stopped! P.S: Flash software- right?Me_Think
February 17, 2015
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Someone suggested, a while back in another discussion, that some atheist interlocutors who appeared stubbornly confused and misinformed, are just paid agents working for this blog, in order to provoke heated debates and thus increase the number of visitors. I could not believe that, but lately I've started to suspect that perhaps it's possible that idea is not too far off reality? :) Just look at the latest posts by some interlocutors here. Unless they are undercover agents, pretending to be so confused in order to make the atheists look embarrassingly arrogant, their comments make little sense, if any at all. However, how can we know their real motives? Should we ask the admin of this blog to reveal it? :)Dionisio
February 17, 2015
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Me_Think: "zygote is not a single cell, it is made of 2 gamete cells" I am not sure what you mean. The zygote is certainly a single cell. And it is certainly derived from the union of two gametes (each with half of the genetic information in the zygote). Regarding fermions, cells are certainly made of fermions, like all material objects, but what makes a cell a cell, and not a stone, is the special configuration and properties of its material components. I suppose you understand that well enough.gpuccio
February 17, 2015
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Dionisio, Me_Think @ 401 :
zygote is not a single cell, it is made of 2 gamete cells
Dionisio @ 405
It is a complete single cell, containing the genetic information from two haploid cells.
Well? Is your claim now that gametes are not haploid cell?! I fervently hope that educational software you were talking about is stopped!Me_Think
February 17, 2015
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#401 Me_Think What you wrote is very inaccurate, to say it euphemistically. :) The zygote is the most powerful stem cell in the whole developmental process. It is a complete single cell, containing the genetic information from two haploid cells. The mechanisms behind its formation and behind the development process that follows are amazing. The origin of all that is part of the wonderful mystery that many call OOL.Dionisio
February 17, 2015
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Dionisio @ 403
You keep getting it all wrong, buddy. The research papers published in several peer-review journals are generally the main source of information for my current biology learning, in preparation for my work on an educational software
Did I get ferminons are fundamental wrong? or that zygotes are not single cell wrong? Hmmm. I hope the educational software that says zygote is a single cell is never published.Me_Think
February 17, 2015
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#398 Me_Think You keep getting it all wrong, buddy. The research papers published in several peer-review journals are generally the main source of information for my current biology learning, in preparation for my work on an educational software development project. Obviously, with the caveat that sometimes those peer-reviewed papers could be fraudulent.Dionisio
February 17, 2015
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