A First-Principles Model of Early Evolution
Key to understanding biological evolution is an important, but elusive, connection, known as the genotype-phenotype relationship, which translates the survival of entire organisms into microscopic selection for particular advantageous genes, or protein sequences. The study of Shakhnovich et al establishes such connections by postulating that the death rate of an organism is determined by the stability of the least stable of their proteins.
The simulation of the model proceeds via random mutations, gene duplication, organism births via replication, and organism deaths.
The authors find that survival of the population is possible only after a ‘’Big Bang’’ when a very small number of advantageous protein structures is suddenly discovered and exponential growth of the population ensues. The subsequent evolution of the Protein Universe occurs as an expansion of this small set of proteins through a duplication and divergence process that accompanies discovery of new proteins. The model resolves one of the key mysteries of molecular evolution – the origin of highly uneven distribution of fold family and gene family sizes in the Protein Universe. It quantitatively reproduces these distributions pointing out their origin in biased post “Big Bang’’ evolutionary dynamics of discovery of new proteins. The number of genes in the evolving organisms depends on the mutation rate, demonstrating the intricate relationship between macroscopic properties of organisms – their genome sizes – and microscopic properties – stabilities – of their proteins.
The results of the study suggest a plausible comprehensive scenario of emergence and growth of the Protein Universe in early biological evolution.
PLEASE ADD THIS LINK TO THE PUBLISHED ARTICLE IN ONLINE VERSIONS OF YOUR REPORT: http://compbiol.plosjournals.org/perlserv/?request=get-document&doi=10.1371/journal.pcbi.0030139
(link will go live on July 13th)
CITATION: Zeldovich KB, Chen P, Shakhnovich BE, Shakhnovich EI (2007) A first-principles model of early evolution: Emergence of gene families, species, and preferred protein folds. PLoS Comput Biol 3(7): e139. doi:10.1371/journal.pcbi.0030139
CONTACT:
Eugene Shakhnovich
Department of Chemistry and Chemical Biology,
Harvard University,
Cambridge,
Massachusetts,
United States of America
eugene@belok.harvard.edu
Media Contact
More Information:
http://www.ploscompbiol.orgAll latest news from the category: Life Sciences and Chemistry
Articles and reports from the Life Sciences and chemistry area deal with applied and basic research into modern biology, chemistry and human medicine.
Valuable information can be found on a range of life sciences fields including bacteriology, biochemistry, bionics, bioinformatics, biophysics, biotechnology, genetics, geobotany, human biology, marine biology, microbiology, molecular biology, cellular biology, zoology, bioinorganic chemistry, microchemistry and environmental chemistry.
Newest articles
Properties of new materials for microchips
… can now be measured well. Reseachers of Delft University of Technology demonstrated measuring performance properties of ultrathin silicon membranes. Making ever smaller and more powerful chips requires new ultrathin…
Floating solar’s potential
… to support sustainable development by addressing climate, water, and energy goals holistically. A new study published this week in Nature Energy raises the potential for floating solar photovoltaics (FPV)…
Skyrmions move at record speeds
… a step towards the computing of the future. An international research team led by scientists from the CNRS1 has discovered that the magnetic nanobubbles2 known as skyrmions can be…
