Computational Genomics Group
  • Home
  • Research
  • Publications
  • Teaching
  • Blog
  • Group Members
  • News
  • Computational Biology Book
  • Data Analysis with R Book
  • CG2 github
  • Fiction

A somewhat critical reading of "Arrival of the fittest" by Andreas Wagner

11/11/2014

0 Comments

 
Professorship has many advantages. Some (spending time with young, motivating people, or being constantly reminded of your humble mediocrity) are obvious. Among the not so obvious ones is the ability to access a great number of scientific material for free since editors consider it a good marketing policy to provide you with evaluation copies of possible suggested readings.  A couple of weeks ago, One World Publications was very kind to respond to my request for such a copy of "Arrival of the fittest" by Andreas Wagner and even though it is highly unlikely that I suggest this book as reading in any of my classes I felt much obliged to go immediately at it. Here are some fresh thoughts after completing it over two hectic weeks full of teaching duties.

First of all, my view of Andreas Wagner is that of an uncompromising scientist, who has dared to attack some of the most difficult, intriguing questions in biological research. I 've heard him talk twice, once in Barcelona while I was a post-doc and once again in Athens while still a post-doc, only a better-experienced one. Both talks were inspiring, to say the least (not very common for scientific talks, at least for me) as was my reading of his book "Evolvability and Robustness in Living Systems" which soon followed. At the core of Wagner's research lies a very important question: "How does innovation arise in living systems and how is it compromised with the ability of all organisms to survive in ever-changing conditions?". It so turns out that the two need not be compromised, instead one is actually a prerequisite for the other. The same ability to constantly innovate is paramount for the survival for every known organism but, more importantly, it is the necessity for adaptation in changing environments that calls upon the creation and conservation of mechanisms that drive innovation.  This last realization is at the same time revolutionary and extremely important and research in Andreas Wagner's lab has been pivotal in our understanding of it. 

"Arrival of the fittest" is taken from a phrase attributed to Hugo de Vries, according to whom "Natural [by the time Darwinian] selection may account for the survival of the fittest. Not the arrival of the fittest". Wagner is thus keen to remind us that the early seeds of the above-stated question(s) have been planted well before the advent of molecular biology and the flurry of genes and genomes. To put it more plainly (and prosaically), Wagner uses the example of  the arctic cod who has come up with an antifreeze protein that allows it to survive extremely cold water habitats. The question that arises is how was this protein "chosen" out of the superastronomical number of alternatives  that could have been created with the same number of aminoacids since it would have taken many times the age of the universe to traverse the "universe" of sequences even assuming extreme mutation rates? Wagner does a great job in stating this question, explaining why it is so important (hint: it reduces Darwinian Selection to a trivial factor)  and giving a good idea of the complexity that comes with it. He is also spot-on when producing an excellent metaphor that links the enormous (indeed super-astronomical) complexity of molecular structures, alternative metabolic organizations and regulatory circuits with Jorge Luis Borges' "Biblioteca de Babel" (which I, as a huge fan of the Argentinian particularly enjoyed). Wagner is at his best when describing how the mere size of this "library", its endless possibilities of alternative texts that at first sight appears to make innovation a "needle-in-a-haystack" problem, is at the same time its great power. It is in the next-to-last chapter "The hidden architecture" that, through a thorough and well-structured argumentation, Wagner shows how the complexity of biological systems, coupled with self-organization allows an extremely, totally counter-intuitive entanglement of radically different outcomes among alternative "texts", which in turn make apparently "impossible" jumps from one phenotype to another rather plausible. 

Plausibility is the key word here, even though never mentioned in Wagner's (witty and modern) prose. The book attacks the same question that Marc Kirschner and John Gerhart went after in their "The plausibility of life", a highly recommendable book on what is now simply called "evo-devo". And while Kirschner and Gerhart focus on the part of development and the creation of hierarchical body plan structures, Wagner extends the concept of a hidden architecture as an all-encompassing principle in living systems. Here lies, the only (yet somehow major) flaw of the book, which is the fact that a significant part of the material is presented in the same way, in some cases in an almost identical manner, which renders the text rather dull, especially in the crucial (as any writer should know) middle part of the book. In his attempt to demonstrate the universality of the "complex library" concept (the term is mine), Wagner becomes quite repetitive and this steals a lot from the book's originality.
​
In total, I would highly recommend this book to the "uninitialized" outsider who would like to know more about some of the most profound problems of biology, as he/she is bound to enjoy most of it and take advantage of some of its redundancy in better grasping the main points. On the other hand, I believe that the aforementioned "Evolvability and Robustness in Living Systems" is much better suited for both biology undergraduates and postgraduates.  
0 Comments

    RSS Feed

    It's all about...

    Bioinformatics and computational biology with a focus on chromatin and genome architecture, plus a little bit of football and occasional aspects of  University education.

    Archives

    April 2021
    December 2020
    March 2020
    November 2018
    September 2017
    April 2017
    March 2017
    December 2016
    November 2016
    February 2016
    May 2015
    November 2014
    September 2014
    July 2014
    February 2014
    November 2013
    October 2013

    Categories

    All
    Academic Life
    Bioinformatics
    ChIPSeq
    ChIPSeq Bias
    Cpg Islands
    Data Analysis
    Exons
    Football
    Footballomics
    Gene Regulation
    Genetic Diseases
    Genome Architecture
    Genome Structure
    Inflammation
    Journalism
    Math Illiteracy
    NGS
    Nucleosome Positioning
    Nucleotide Composition
    Nucleotide Skews
    Promoters
    R
    Splicing
    Statistics
    Systems Biology
    Tnf
    Transcriptome
    Variation
    Whole Exome

Powered by Create your own unique website with customizable templates.