Learning mitigates genetic drift

. 2022 Nov 27 ; 12 (1) : 20403. [epub] 20221127

Jazyk angličtina Země Velká Británie, Anglie Médium electronic

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/pmid36437294

Grantová podpora
CZ.02.1.01/0.0/0.0/15_003/0000469 Ministerstvo Školství, Mládeže a Tělovýchovy
857560 Horizon 2020 Framework Programme

Odkazy

PubMed 36437294
PubMed Central PMC9701794
DOI 10.1038/s41598-022-24748-8
PII: 10.1038/s41598-022-24748-8
Knihovny.cz E-zdroje

Genetic drift is a basic evolutionary principle describing random changes in allelic frequencies, with far-reaching consequences in various topics ranging from species conservation efforts to speciation. The conventional approach assumes that genetic drift has the same effect on all populations undergoing the same changes in size, regardless of different non-reproductive behaviors and history of the populations. However, here we reason that processes leading to a systematic increase of individuals` chances of survival, such as learning or immunological memory, can mitigate loss of genetic diversity caused by genetic drift even if the overall mortality rate in the population does not change. We further test this notion in an agent-based model with overlapping generations, monitoring allele numbers in a population of prey, either able or not able to learn from successfully escaping predators' attacks. Importantly, both these populations start with the same effective size and have the same and constant overall mortality rates. Our results demonstrate that even under these conditions, learning can mitigate loss of genetic diversity caused by drift, by creating a pool of harder-to-die individuals that protect alleles they carry from extinction. Furthermore, this effect holds regardless if the population is haploid or diploid or whether it reproduces sexually or asexually. These findings may be of importance not only for basic evolutionary theory but also for other fields using the concept of genetic drift.

Zobrazit více v PubMed

Lequime S, Fontaine A, Gouilh MA, Moltini-Conclois I, Lambrechts L. Genetic drift, purifying selection and vector genotype shape dengue virus intra-host genetic diversity in mosquitoes. PLOS Genet. 2016;12:e1006111. doi: 10.1371/journal.pgen.1006111. PubMed DOI PMC

Lynch M, et al. Genetic drift, selection and the evolution of the mutation rate. Nat. Rev. Genet. 2016;17:704–714. doi: 10.1038/nrg.2016.104. PubMed DOI

Wang J, Santiago E, Caballero A. Prediction and estimation of effective population size. Heredity. 2016;117:193–206. doi: 10.1038/hdy.2016.43. PubMed DOI PMC

Wright S. Inbreeding and homozygosis. Proc. Natl. Acad. Sci. U. S. A. 1933;19:411–420. doi: 10.1073/pnas.19.4.411. PubMed DOI PMC

Wright S. Evolution in mendelian populations. Genetics. 1931;16:97–159. doi: 10.1093/genetics/16.2.97. PubMed DOI PMC

Waples RS, Antao T. Intermittent breeding and constraints on litter size: Consequences for effective population size per generation (Ne) and per reproductive cycle (Nb ) Evol. Int. J. Org. Evol. 2014;68:1722–1734. doi: 10.1111/evo.12384. PubMed DOI

Lenart P, Scheringer M, Bienertova-Vasku J. The pathosome: A dynamic three-dimensional view of disease-environment interaction. BioEssays. 2019;41:1900014. doi: 10.1002/bies.201900014. PubMed DOI

Lenart, P., Scheringer, M. & Bienertová-Vašků, J. The Dynamic Pathosome: A Surrogate for Health and Disease. in Explaining Health Across the Sciences (eds Sholl, J. & Rattan, S. I. S.) 271–288 (Springer International Publishing, 2020). 10.1007/978-3-030-52663-4_16

Wright S. Statistical genetics and evolution. Bull. Am. Math. Soc. 1942;48:223–246. doi: 10.1090/S0002-9904-1942-07641-5. DOI

Hill WG. A note on effective population size with overlapping generations. Genetics. 1979;92:317–322. doi: 10.1093/genetics/92.1.317. PubMed DOI PMC

Shifferman E, Eilam D. Movement and direction of movement of a simulated prey affect the success rate in barn owl Tyto alba attack. J. Avian Biol. 2004;35:111–116. doi: 10.1111/j.0908-8857.2004.03257.x. DOI

Ducatez S, Sol D, Sayol F, Lefebvre L. Behavioural plasticity is associated with reduced extinction risk in birds. Nat. Ecol. Evol. 2020;4:788–793. doi: 10.1038/s41559-020-1168-8. PubMed DOI

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...