» Articles » PMID: 29109223

What Drives the Evolution of Condition-dependent Recombination in Diploids? Some Insights from Simulation Modelling

Overview
Specialty Biology
Date 2017 Nov 8
PMID 29109223
Citations 8
Authors
Affiliations
Soon will be listed here.
Abstract

While the evolutionary advantages of non-zero recombination rates have prompted diverse theoretical explanations, the evolution of essential recombination features remains underexplored. We focused on one such feature, the condition dependence of recombination, viewed as the variation in within-generation sensitivity of recombination to external (environment) and/or internal (genotype) conditions. Limited empirical evidence for its existence comes mainly from diploids, whereas theoretical models show that it only easily evolves in haploids. The evolution of condition-dependent recombination can be explained by its advantage for the selected system (indirect effect), or by benefits to modifier alleles, ensuring this strategy regardless of effects on the selected system (direct effect). We considered infinite panmictic populations of diploids exposed to a cyclical two-state environment. Each organism had three selected loci. Examining allele dynamics at a fourth, selectively neutral recombination modifier locus, we frequently observed that a modifier allele conferring condition-dependent recombination between the selected loci displaced the allele conferring the optimal constant recombination rate. Our simulations also confirm the results of theoretical studies showing that condition-dependent recombination cannot evolve in diploids on the basis of direct fitness-dependent effects alone. Therefore, the evolution of condition-dependent recombination in diploids can be driven by indirect effects alone, i.e. by modifier effects on the selected system.This article is part of the themed issue 'Evolutionary causes and consequences of recombination rate variation in sexual organisms'.

Citing Articles

Temperature affects recombination rate plasticity and meiotic success between thermotolerant and cold tolerant yeast species.

McNeill J, Brandt N, Schwarzkopf E, Jimenez M, Smukowski Heil C bioRxiv. 2024; .

PMID: 39257736 PMC: 11383653. DOI: 10.1101/2024.08.28.610152.


Selection for Plastic, Pathogen-Inducible Recombination in a Red Queen Model with Diploid Antagonists.

Rybnikov S, Frenkel Z, Korol A, Fahima T Pathogens. 2021; 10(7).

PMID: 34358051 PMC: 8308896. DOI: 10.3390/pathogens10070898.


Male meiotic recombination rate varies with seasonal temperature fluctuations in wild populations of autotetraploid Arabidopsis arenosa.

Weitz A, Dukic M, Zeitler L, Bomblies K Mol Ecol. 2021; 30(19):4630-4641.

PMID: 34273213 PMC: 9292783. DOI: 10.1111/mec.16084.


Seasonal changes in recombination characteristics in a natural population of Drosophila melanogaster.

Dayal Aggarwal D, Rybnikov S, Sapielkin S, Rashkovetsky E, Frenkel Z, Singh M Heredity (Edinb). 2021; 127(3):278-287.

PMID: 34163036 PMC: 8405755. DOI: 10.1038/s41437-021-00449-2.


The evolutionary advantage of fitness-dependent recombination in diploids: A deterministic mutation-selection balance model.

Rybnikov S, Frenkel Z, Korol A Ecol Evol. 2020; 10(4):2074-2084.

PMID: 32128139 PMC: 7042682. DOI: 10.1002/ece3.6040.


References
1.
Kim S, Peterson S, Jasin M, Keeney S . Mechanisms of germ line genome instability. Semin Cell Dev Biol. 2016; 54:177-87. DOI: 10.1016/j.semcdb.2016.02.019. View

2.
Frenkel V, Ronin Y, Korol A . The dynamics of the rec-system in variable environments: haploid selection in a cyclical two-state environment. Theor Popul Biol. 2006; 70(2):111-24. DOI: 10.1016/j.tpb.2006.05.002. View

3.
McCLINTOCK B . The significance of responses of the genome to challenge. Science. 1984; 226(4676):792-801. DOI: 10.1126/science.15739260. View

4.
Goldstein D, Bergman A, Feldman M . The evolution of interference: reduction of recombination among three loci. Theor Popul Biol. 1993; 44(2):246-59. DOI: 10.1006/tpbi.1993.1028. View

5.
Shaw F, Baer C . Fitness-dependent mutation rates in finite populations. J Evol Biol. 2011; 24(8):1677-84. DOI: 10.1111/j.1420-9101.2011.02320.x. View