What Can Genome Sequence Data Reveal About Population Viability? DOI
Marty Kardos, Lukas F. Keller, W. Chris Funk

et al.

Molecular Ecology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 16, 2024

ABSTRACT Biologists have long sought to understand the impacts of deleterious genetic variation on fitness and population viability. However, our understanding these effects in wild is incomplete, part due rarity sufficient demographic data needed measure their impact. The genomics revolution promising a potential solution by predicting variants (genetic load) bioinformatically from genome sequences alone bypassing need for costly data. After historical perspective theoretical empirical basis dynamics variation, we evaluate new genomic measures load predict We argue that current analyses cannot reliably growth, because depend demographic, ecological parameters more than just sequence be measured. Thus, while purely promise improve composition load, they are currently little use evaluating Demographic context remain crucial consequences fitness. when combined with such data, information can offer important insights into inbreeding conservation decision making.

Language: Английский

Genetic load and viability of a future restored northern white rhino population DOI Creative Commons
Aryn P. Wilder, Cynthia Steiner, Sarah A. Hendricks

et al.

Evolutionary Applications, Journal Year: 2024, Volume and Issue: 17(4)

Published: April 1, 2024

Abstract As biodiversity loss outpaces recovery, conservationists are increasingly turning to novel tools for preventing extinction, including cloning and in vitro gametogenesis of biobanked cells. However, restoration populations can be hindered by low genetic diversity deleterious load. The persistence the northern white rhino ( Ceratotherium simum cottoni ) now depends on cryopreserved cells 12 individuals. These banked genomes have higher than southern rhinos C. s. ), a sister subspecies that successfully recovered from severe bottleneck, but potential impact load is unknown. We estimated how demographic history has shaped genome‐wide nine 13 rhinos. bottleneck left with more fixed homozygous alleles longer runs homozygosity, whereas retained masked heterozygosity. To gauge fitness population restored cells, we simulated recovery using as benchmark viable population. Unlike traditional restoration, cell‐derived founders reintroduced subsequent generations boost lost relieve inbreeding. In simulations repeated reintroduction into population, cost remained lower borne Without reintroductions, rapid growth (>20–30% per generation) would needed maintain comparable fitness. Our results suggest inbreeding depression not necessarily barrier demonstrate relieves some constraints conventional limited founder pool. Established conservation methods protect healthy will remain paramount, emerging technologies hold promise bolster these combat extinction crisis.

Language: Английский

Citations

4
Outside the box: comparative stem cell insights for fertility biotechnology and conservation DOI Creative Commons
Ashlee M. Hutchinson, Antonia Weberling, Yoshinori Endo

et al.

F&S Reports, Journal Year: 2025, Volume and Issue: 6, P. 38 - 44

Published: April 1, 2025

Language: Английский

Citations

0
Constraining models of dominance for nonsynonymous mutations in the human genome DOI Creative Commons
Christopher C. Kyriazis, Kirk E. Lohmueller

PLoS Genetics, Journal Year: 2024, Volume and Issue: 20(9), P. e1011198 - e1011198

Published: Sept. 20, 2024

Dominance is a fundamental parameter in genetics, determining the dynamics of natural selection on deleterious and beneficial mutations, patterns genetic variation populations, severity inbreeding depression population. Despite this importance, dominance parameters remain poorly known, particularly humans or other non-model organisms. A key reason for lack information about that it extremely challenging to disentangle coefficient ( s ) mutation from its h ). Here, we explore by fitting models site frequency spectrum (SFS) nonsynonymous mutations. When assuming single all find numerous values can fit data, so long as greater than ~0.15. Moreover, also observe theoretically-predicted with negative relationship between data well, including = 0.05 strongly Finally, use our estimated inform simulations revisiting question whether out-of-Africa bottleneck has led differences load African non-African human populations. These suggest relative burden populations depends model assumed, slight increases more weakly recessive decreases shown models. these results demonstrate partially mutations explain observed humans, bridging gap molecular population genetics direct measures fitness humans. Our work represents comprehensive assessment implications parameterizing mammalian species.

Language: Английский

Citations

0
What Can Genome Sequence Data Reveal About Population Viability? DOI
Marty Kardos, Lukas F. Keller, W. Chris Funk

et al.

Molecular Ecology, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 16, 2024

ABSTRACT Biologists have long sought to understand the impacts of deleterious genetic variation on fitness and population viability. However, our understanding these effects in wild is incomplete, part due rarity sufficient demographic data needed measure their impact. The genomics revolution promising a potential solution by predicting variants (genetic load) bioinformatically from genome sequences alone bypassing need for costly data. After historical perspective theoretical empirical basis dynamics variation, we evaluate new genomic measures load predict We argue that current analyses cannot reliably growth, because depend demographic, ecological parameters more than just sequence be measured. Thus, while purely promise improve composition load, they are currently little use evaluating Demographic context remain crucial consequences fitness. when combined with such data, information can offer important insights into inbreeding conservation decision making.

Language: Английский

Citations

0