Learning mitigates genetic drift

J 2022

Learning mitigates genetic drift

LENÁRT, Peter, Julie DOBROVOLNÁ a Luděk BEREC

Základní údaje

Originální název

Learning mitigates genetic drift

Autoři

LENÁRT, Peter (703 Slovensko, domácí), Julie DOBROVOLNÁ (203 Česká republika, garant, domácí) a Luděk BEREC (203 Česká republika)

Vydání

Nature Scientific Reports, London, NATURE RESEARCH, 2022, 2045-2322

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10700 1.7 Other natural sciences

Stát vydavatele

Německo

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 4.600

Kód RIV

RIV/00216224:14310/22:00127976

Organizační jednotka

Přírodovědecká fakulta

DOI

http://dx.doi.org/10.1038/s41598-022-24748-8

UT WoS

000889218700044

Klíčová slova anglicky

EFFECTIVE POPULATION-SIZE; EVOLUTION

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 15. 1. 2023 14:13, Mgr. Michaela Hylsová, Ph.D.

Anotace

V originále

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.

Návaznosti

EF15_003/0000469, projekt VaV

Název: Cetocoen Plus

EF17_043/0009632, projekt VaV

Název: CETOCOEN Excellence

LM2018121, projekt VaV

Název: Výzkumná infrastruktura RECETOX (Akronym: RECETOX RI)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, RECETOX RI

857560, interní kód MU
(Kód CEP: EF17_043/0009632)

Název: CETOCOEN Excellence (Akronym: CETOCOEN Excellence)

Investor: Evropská unie, CETOCOEN Excellence, Spreading excellence and widening participation

Přiložené soubory

2246453.pdf

Vyhledat podobné dokumenty

Citovat

LENÁRT, Peter, Julie DOBROVOLNÁ a Luděk BEREC. Learning mitigates genetic drift. Nature Scientific Reports. London: NATURE RESEARCH, 2022, roč. 12, č. 1, s. 1-10. ISSN 2045-2322. Dostupné z: https://dx.doi.org/10.1038/s41598-022-24748-8.

@article{2246453,
   author = {Lenárt, Peter and Dobrovolná, Julie and Berec, Luděk},
   article_location = {London},
   article_number = {1},
   doi = {http://dx.doi.org/10.1038/s41598-022-24748-8},
   keywords = {EFFECTIVE POPULATION-SIZE; EVOLUTION},
   language = {eng},
   issn = {2045-2322},
   journal = {Nature Scientific Reports},
   title = {Learning mitigates genetic drift},
   url = {https://www.nature.com/articles/s41598-022-24748-8},
   volume = {12},
   year = {2022}
}

TY  - JOUR
ID  - 2246453
AU  - Lenárt, Peter - Dobrovolná, Julie - Berec, Luděk
PY  - 2022
TI  - Learning mitigates genetic drift
JF  - Nature Scientific Reports
VL  - 12
IS  - 1
SP  - 1-10
EP  - 1-10
PB  - NATURE RESEARCH
SN  - 20452322
KW  - EFFECTIVE POPULATION-SIZE
KW  - EVOLUTION
UR  - https://www.nature.com/articles/s41598-022-24748-8
N2  - 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.
ER  -

LENÁRT, Peter, Julie DOBROVOLNÁ a Luděk BEREC. Learning mitigates genetic drift. \textit{Nature Scientific Reports}. London: NATURE RESEARCH, 2022, roč.~12, č.~1, s.~1-10. ISSN~2045-2322. Dostupné z: https://dx.doi.org/10.1038/s41598-022-24748-8.

Podrobný výpis o publikaci