Using phenotypic plasticity to understand the structure and evolution of the genotype-phenotype map

被引:24
作者
Chevin, Luis-Miguel [1 ]
Leung, Christelle [1 ]
Le Rouzic, Arnaud [2 ]
Uller, Tobias [3 ]
机构
[1] Univ Montpellier, Univ Paul Valery Montpellier 3, EPHE, CNRS,IRD,CEFE, Montpellier, France
[2] Univ Paris Saclay, CNRS, IRD, Lab Evolut Genomes Comportement Ecol, Gif Sur Yvette, France
[3] Lund Univ, Dept Biol, Lund, Sweden
关键词
Phenotypic plasticity; Cis-regulatory sequences; Gene regulatory networks; Transcriptomics; Environmental epigenetics; Hierarchy of traits; GENE-EXPRESSION; QUANTITATIVE TRAITS; EVO-DEVO; GENOME; ROBUSTNESS; NETWORKS; MODEL; EVOLVABILITY; CANALIZATION; ARCHITECTURE;
D O I
10.1007/s10709-021-00135-5
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Deciphering the genotype-phenotype map necessitates relating variation at the genetic level to variation at the phenotypic level. This endeavour is inherently limited by the availability of standing genetic variation, the rate of spontaneous mutation to novo genetic variants, and possible biases associated with induced mutagenesis. An interesting alternative is to instead rely on the environment as a source of variation. Many phenotypic traits change plastically in response to the environment, and these changes are generally underlain by changes in gene expression. Relating gene expression plasticity to the phenotypic plasticity of more integrated organismal traits thus provides useful information about which genes influence the development and expression of which traits, even in the absence of genetic variation. We here appraise the prospects and limits of such an environment-for-gene substitution for investigating the genotype-phenotype map. We review models of gene regulatory networks, and discuss the different ways in which they can incorporate the environment to mechanistically model phenotypic plasticity and its evolution. We suggest that substantial progress can be made in deciphering this genotype-environment-phenotype map, by connecting theory on gene regulatory network to empirical patterns of gene co-expression, and by more explicitly relating gene expression to the expression and development of phenotypes, both theoretically and empirically.
引用
收藏
页码:209 / 221
页数:13
相关论文
共 131 条
[1]   Understanding 'Non-genetic' Inheritance: Insights from Molecular-Evolutionary Crosstalk [J].
Adrian-Kalchhauser, Irene ;
Sultan, Sonia E. ;
Shama, Lisa N. S. ;
Spence-Jones, Helen ;
Tiso, Stefano ;
Valsecchi, Claudia Isabelle Keller ;
Weissing, Franz J. .
TRENDS IN ECOLOGY & EVOLUTION, 2020, 35 (12) :1078-1089
[2]   Evolution in Regulatory Regions Rapidly Compensates the Cost of Nonoptimal Codon Usage [J].
Amoros-Moya, Dolors ;
Bedhomme, Stephanie ;
Hermann, Marita ;
Bravo, Ignacio G. .
MOLECULAR BIOLOGY AND EVOLUTION, 2010, 27 (09) :2141-2151
[3]  
Ancel LW, 2000, J EXP ZOOL, V288, P242, DOI 10.1002/1097-010X(20001015)288:3<242::AID-JEZ5>3.0.CO
[4]  
2-O
[5]   SLI-1 Cbl Inhibits the Engulfment of Apoptotic Cells in C. elegans through a Ligase-Independent Function [J].
Anderson, Courtney ;
Zhou, Shan ;
Sawin, Emma ;
Horvitz, H. Robert ;
Hurwitz, Michael E. .
PLOS GENETICS, 2012, 8 (12)
[6]   Sources of epigenetic variation and their applications in natural populations [J].
Angers, Bernard ;
Perez, Maeva ;
Menicucci, Tatiana ;
Leung, Christelle .
EVOLUTIONARY APPLICATIONS, 2020, 13 (06) :1262-1278
[7]  
[Anonymous], 1998, Genetics and Analysis of Quantitative Traits (Sinauer)
[8]   Sexual reproduction selects for robustness and negative epistasis in artificial gene networks [J].
Azevedo, RBR ;
Lohaus, R ;
Srinivasan, S ;
Dang, KK ;
Burch, CL .
NATURE, 2006, 440 (7080) :87-90
[9]  
Baldwin J. M., 1896, Am Nat, V30, P441, DOI [DOI 10.1086/276408, 10.1086/276408]
[10]   Genetic redundancy fuels polygenic adaptation in Drosophila [J].
Barghi, Neda ;
Tobler, Raymond ;
Nolte, Viola ;
Jaksic, Ana Marija ;
Mallard, Francois ;
Otte, Kathrin Anna ;
Dolezal, Marlies ;
Taus, Thomas ;
Kofler, Robert ;
Schloetterer, Christian .
PLOS BIOLOGY, 2019, 17 (02)