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

Whole Genome Sequencing Reveals Clade‐Specific Genetic Variation in Blacklegged Ticks DOI Creative Commons
Jacob Cassens, Adela S. Oliva Chávez, Danielle M. Tufts

et al.

Ecology and Evolution, Journal Year: 2025, Volume and Issue: 15(2)

Published: Feb. 1, 2025

ABSTRACT Ticks and tick‐borne pathogens represent the greatest vector‐borne disease threat in United States. Blacklegged ticks are responsible for most human cases, yet burden is unevenly distributed across northern southern Understanding genetic characteristics influencing phenotypic differences tick vectors critical to elucidating disparities pathogen transmission dynamics. Applying evolutionary analyses molecular variation natural populations ecological gradients will help identify signatures of local adaptation, which improve control mitigation strategies. In this study, we performed whole genome nanopore sequencing individual ( n = 1) blacklegged their geographical range (Minnesota, Pennsylvania, Texas) evaluate divergence among populations. Our integrated identified variants associated with numerous biological processes functions that segregated Notably, displayed genes linked xenobiotic detoxification, transmembrane transport, sulfation may underpin key phenotypes dispersal, host associations, vectorial capacity. Nanopore further allowed recovery complete mitochondrial commensal endosymbiont genomes. study provides evidence epidemiologically relevant gene families clades. This report emphasizes need elucidate basis driving conspecific clades

Language: Английский

Citations

0
Palaeogenomic inference of biodiversity dynamics across Quaternary timescales DOI

Amanda Lindahl,

Laura S. Epp, Sanne Boessenkool

et al.

Published: March 18, 2025

Language: Английский

Citations

0
Species-specific loss of genetic diversity and accumulation of genetic load following agricultural intensification DOI Creative Commons
Zachary J. Nolen,

Patrycja Jamelska,

A. Lara

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 10, 2024

Abstract Agriculture driven land-use change is a major contributor to insect declines globally. As result of population decline and subdivision, species lose genetic diversity, potentially reducing adaptive potential increasing load, reinforcing decline. We examine how diversity has changed over the past century in three Polyommatinae (Lepidoptera: Lycaenidae) butterfly southern Sweden, leveraging genome sequencing specimens from museum collections. Based on 63 historical 92 contemporary genomes, we document general reveal that extent depends habitat specialization. The generalist retained most its connectivity. In contrast, two specialists have declined sufficiently even common variation being eroded by drift, with up 3.3% reduction heterozygosity per decade strongly grassland associated Cyaniris semiargus . While this sharp reduced total load specialist species, increased isolation led inbreeding Cy. , exposing greater proportion homozygous state. This realized likely reduces mean fitness reinforces decline, highlighting need for well-connected landscapes maintain functional connectivity diversity. complement these analyses data seven additional uncovering are across group, alarming rates listed as viable. study highlights urgency incorporating into conservation planning, threats erosion not captured current assessment.

Language: Английский

Citations

0
20th Anniversary of the History of Genetic Research on Cave Lions: A short review DOI Creative Commons
Artem Nedoluzhko, Г. Г. Боескоров, Alexei Tikhonov

et al.

Earth history and biodiversity., Journal Year: 2024, Volume and Issue: 2, P. 100013 - 100013

Published: Oct. 30, 2024

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