Literature DB >> 22750993

A possible molecular metric for biological evolvability.

Aditya Mittal1, B Jayaram.   

Abstract

Proteins manifest themselves as phenotypic traits, retained or lost in living systems via evolutionary pressures. Simply put, survival is essentially the ability of a living system to synthesize a functional protein that allows for a response to environmental perturbations (adaptation). Loss of functional proteins leads to extinction. Currently there are no universally applicable quantitative metrics at the molecular level for either measuring 'evolvability' of life or for assessing the conditions under which a living system would go extinct and why. In this work, we show emergence of the first such metric by utilizing the recently discovered stoichiometric margin of life for all known naturally occurring (and functional) proteins. The constraint of having well-defined stoichiometries of the 20 amino acids in naturally occurring protein sequences requires utilization of the full scope of degeneracy in the genetic code, i.e. usage of all codons coding for an amino acid, by only 11 of the 20 amino acids. This shows that the non-availability of individual codons for these 11 amino acids would disturb the fine stoichiometric balance resulting in non-functional proteins and hence extinction. Remarkably, these amino acids are found in close proximity of any given amino acid in the backbones of thousands of known crystal structures of folded proteins. On the other hand, stoichiometry of the remaining 9 amino acids, found to be farther/distal from any given amino acid in backbones of folded proteins, is maintained independent of the number of codons available to synthesize them, thereby providing some robustness and hence survivability.

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Year:  2012        PMID: 22750993     DOI: 10.1007/s12038-012-9210-x

Source DB:  PubMed          Journal:  J Biosci        ISSN: 0250-5991            Impact factor:   1.826


  21 in total

1.  Cell biology. New roles for codon usage.

Authors:  Ivana Weygand-Durasevic; Michael Ibba
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2.  A stoichiometry driven universal spatial organization of backbones of folded proteins: are there Chargaff's rules for protein folding?

Authors:  A Mittal; B Jayaram; Sandhya Shenoy; Tejdeep Singh Bawa
Journal:  J Biomol Struct Dyn       Date:  2010-10

3.  A conversation on protein folding.

Authors:  Ramaswamy H Sarma
Journal:  J Biomol Struct Dyn       Date:  2011-02

4.  Backbones of folded proteins reveal novel invariant amino acid neighborhoods.

Authors:  Aditya Mittal; B Jayaram
Journal:  J Biomol Struct Dyn       Date:  2011-02

5.  Genetics. SNPs, silent but not invisible.

Authors:  Anton A Komar
Journal:  Science       Date:  2006-12-21       Impact factor: 47.728

Review 6.  Selection on codon bias.

Authors:  Ruth Hershberg; Dmitri A Petrov
Journal:  Annu Rev Genet       Date:  2008       Impact factor: 16.830

7.  Beyond the wobble: the rule of conjugates.

Authors:  B Jayaram
Journal:  J Mol Evol       Date:  1997-12       Impact factor: 2.395

8.  Polynucleotide synthesis and the genetic code.

Authors:  H G Khorana; H Büchi; H Ghosh; N Gupta; T M Jacob; H Kössel; R Morgan; S A Narang; E Ohtsuka; R D Wells
Journal:  Cold Spring Harb Symp Quant Biol       Date:  1966

9.  Differential arginylation of actin isoforms is regulated by coding sequence-dependent degradation.

Authors:  Fangliang Zhang; Sougata Saha; Svetlana A Shabalina; Anna Kashina
Journal:  Science       Date:  2010-09-17       Impact factor: 47.728

Review 10.  Synonymous codon usage in bacteria.

Authors:  M D Ermolaeva
Journal:  Curr Issues Mol Biol       Date:  2001-10       Impact factor: 2.081

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  3 in total

1.  Nucleic acids in disease and disorder: Understanding the language of life emerging from the 'ABC' of DNA.

Authors:  Manju Bansal; B Jayaram; Aditya Mittal
Journal:  J Biosci       Date:  2012-07       Impact factor: 1.826

2.  A statistical anomaly indicates symbiotic origins of eukaryotic membranes.

Authors:  Suneyna Bansal; Aditya Mittal
Journal:  Mol Biol Cell       Date:  2015-01-28       Impact factor: 4.138

3.  Transmembrane Domain Lengths Serve as Signatures of Organismal Complexity and Viral Transport Mechanisms.

Authors:  Snigdha Singh; Aditya Mittal
Journal:  Sci Rep       Date:  2016-03-01       Impact factor: 4.379

  3 in total

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