From genotypes to organisms: State-of-the-art and perspectives of a cornerstone in evolutionary dynamics
Year: 2021
Type: review
Abstract: Understanding how genotypes map onto phenotypes, fitness, and eventually organisms is arguably the next major missing piece in a fully predictive theory of evolution. We refer to this generally as the problem of the genotype-phenotype map. Though we are still far from achieving a complete picture of these relationships, our current understanding of simpler questions, such as the structure induced in the space of genotypes by sequences mapped to molecular structures, has revealed important facts that deeply affect the dynamical description of evolutionary processes. Empirical evidence supporting the fundamental relevance of features such as phenotypic bias is mounting as well, while the synthesis of conceptual and experimental progress leads to questioning current assumptions on the nature of evolutionary dynamics-cancer progression models or synthetic biology approaches being notable examples. This work delves with a critical and constructive attitude into our current knowledge of how genotypes map onto molecular phenotypes and organismal functions, and discusses theoretical and empirical avenues to broaden and improve this comprehension. As a final goal, this community should aim at deriving an updated picture of evolutionary processes soundly relying on the structural properties of genotype spaces, as revealed by modern techniques of molecular and functional analysis.
Source: Physics of Life Reviews
Authors: Susanna Manrubia, José A. Cuesta, Jacobo Aguirre, Sebastian E. Ahnert, Lee Altenberg, Alejandro V. Cano, Pablo Catalán, Ramon Diaz-Uriarte, Santiago F. Elena, Juan Antonio García-Martín, Paulien Hogeweg, Bhavin S. Khatri, Joachim Krug, Ard A. Louis, Nora S. Martin, Joshua L. Payne, Matthew J. Tarnowski, Marcel Weiß
Institutions: Consejo Superior de Investigaciones Científicas, Centro Nacional de Biotecnología, Universidad de Zaragoza, Instituto de Biocomputación y Física de Sistemas Complejos, Universidad Carlos III de Madrid, Centro de Astrobiología, University of Cambridge, The Alan Turing Institute, University of Hawaiʻi at Mānoa, SIB Swiss Institute of Bioinformatics, ETH Zurich, Institute of Integrative Biology, Instituto de Investigaciones Biomédicas Sols-Morreale, Universidad Autónoma de Madrid, Santa Fe Institute, Institute for Integrative Systems Biology, Utrecht University, The Francis Crick Institute, Imperial College London, University of Cologne, University of Oxford, University of Bristol
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $3,386
Funders: National Science Foundation, Silicon Valley Community Foundation, Fetzer Institute, Stanford University, Ohio State University, Foundational Questions Institute, Ministerio de Ciencia, Innovación y Universidades, Gatsby Charitable Foundation, European Commission, Deutsche Forschungsgemeinschaft, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Ministerio de Economía y Competitividad, Generalitat Valenciana, Ministerio de Ciencia e Innovación, Center for Computational, Evolutionary and Human Genomics, Stanford University, Engineering and Physical Sciences Research Council, Biotechnology and Biological Sciences Research Council, European Regional Development Fund, BrisSynBio
Awards: G1280652415, G1377282230, G1418035515, G1545472099, G1650125035, G1916387042, G1949686977, BrisSynBio: Bristol Centre for Synthetic Biology, G2093219148, Centre et périphérie. La formation des artistes suisses à l'Ecole des Beaux-arts de Paris (1793-1920)., G2423218009, G3309562896, G3403528272, Faire face et s'en sortir. Agir en situation de vulnérabilité. Colloque de l'Association internationale des Sociologues de Langue Française., G3875216336, G396232211, G4494338184, G451484689, G490073602, G5133049693, G5433944712, Regulatory logic and the evolution of promoter complexity, G5550750874, Soll das Schöpferprinzip des schweizerischen Urheberrechts zugunsten eines Produzenten-Urheberrechts im Sinne des US-amerikanischen Copyrights aufgegeben werden?, G621933505, G6690284587, G6728930308, G6740715924, G676098473, G6891521090, G7045001909, Mathematical Biosciences Institute, EPSRC and BBSRC Centre for Doctoral Training in Synthetic Biology
OpenAlex ID: W3003432383