Literature DB >> 26085823

A Philosophical Perspective on Evolutionary Systems Biology.

Maureen A O'Malley1, Orkun S Soyer2, Mark L Siegal3.   

Abstract

Evolutionary systems biology (ESB) is an emerging hybrid approach that integrates methods, models, and data from evolutionary and systems biology. Drawing on themes that arose at a cross-disciplinary meeting on ESB in 2013, we discuss in detail some of the explanatory friction that arises in the interaction between evolutionary and systems biology. These tensions appear because of different modeling approaches, diverse explanatory aims and strategies, and divergent views about the scope of the evolutionary synthesis. We locate these discussions in the context of long-running philosophical deliberations on explanation, modeling, and theoretical synthesis. We show how many of the issues central to ESB's progress can be understood as general philosophical problems. The benefits of addressing these philosophical issues feed back into philosophy too, because ESB provides excellent examples of scientific practice for the development of philosophy of science and philosophy of biology.

Entities:  

Keywords:  Evolutionary biology; Evolutionary systems biology; Explanation; Philosophy of biology; Philosophy of science; Systems biology

Year:  2015        PMID: 26085823      PMCID: PMC4465572          DOI: 10.1007/s13752-015-0202-6

Source DB:  PubMed          Journal:  Biol Theory        ISSN: 1555-5542


  49 in total

1.  Explanation and prediction in evolutionary theory.

Authors:  M SCRIVEN
Journal:  Science       Date:  1959-08-28       Impact factor: 47.728

2.  The mystery of missing heritability: Genetic interactions create phantom heritability.

Authors:  Or Zuk; Eliana Hechter; Shamil R Sunyaev; Eric S Lander
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-05       Impact factor: 11.205

3.  Are network motifs the spandrels of cellular complexity?

Authors:  Ricard V Solé; Sergi Valverde
Journal:  Trends Ecol Evol       Date:  2006-06-09       Impact factor: 17.712

Review 4.  The evolution of genetic networks by non-adaptive processes.

Authors:  Michael Lynch
Journal:  Nat Rev Genet       Date:  2007-10       Impact factor: 53.242

5.  The frailty of adaptive hypotheses for the origins of organismal complexity.

Authors:  Michael Lynch
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-09       Impact factor: 11.205

Review 6.  Systems biology: model based evaluation and comparison of potential explanations for given biological data.

Authors:  Gunnar Cedersund; Jacob Roll
Journal:  FEBS J       Date:  2009-02       Impact factor: 5.542

Review 7.  Systems-biology approaches for predicting genomic evolution.

Authors:  Balázs Papp; Richard A Notebaart; Csaba Pál
Journal:  Nat Rev Genet       Date:  2011-08-02       Impact factor: 53.242

8.  Modular epistasis in yeast metabolism.

Authors:  Daniel Segrè; Alexander Deluna; George M Church; Roy Kishony
Journal:  Nat Genet       Date:  2004-12-12       Impact factor: 38.330

9.  The robustness continuum.

Authors:  Sasha F Levy; Mark L Siegal
Journal:  Adv Exp Med Biol       Date:  2012       Impact factor: 2.622

10.  Evolution under fluctuating environments explains observed robustness in metabolic networks.

Authors:  Orkun S Soyer; Thomas Pfeiffer
Journal:  PLoS Comput Biol       Date:  2010-08-26       Impact factor: 4.475

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  3 in total

Review 1.  Towards a Dynamic Interaction Network of Life to unify and expand the evolutionary theory.

Authors:  Eric Bapteste; Philippe Huneman
Journal:  BMC Biol       Date:  2018-05-29       Impact factor: 7.431

2.  COVID-19: Rethinking the nature of viruses.

Authors:  Soraya de Chadarevian; Roberta Raffaetà
Journal:  Hist Philos Life Sci       Date:  2021-01-07       Impact factor: 1.205

3.  The Construction of Biological 'Inter-Identity' as the Outcome of a Complex Process of Protocell Development in Prebiotic Evolution.

Authors:  Kepa Ruiz-Mirazo; Ben Shirt-Ediss; Miguel Escribano-Cabeza; Alvaro Moreno
Journal:  Front Physiol       Date:  2020-05-26       Impact factor: 4.566

  3 in total

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