2023
DOI: 10.1111/eva.13555
|View full text |Cite
|
Sign up to set email alerts
|

Genomic insights into local adaptation in the Asiatic toad Bufo gargarizans, and its genomic offset to climate warming

Abstract: Clarifying the genomic signatures, genes, and traits underlying local adaptation of organisms to their environments is a major goal in evolutionary biology. Local adaptation can generate genetic differentiation and divergence among populations, which may lead to reduced gene flow and eventually speciation (Merilä et al., 2004;Savolainen et al., 2013). Local adaptation across a landscape can disrupt patterns of isolation-by-distance (IBD) and result in patterns of isolation-by-environment (IBE; Sexton et al., 2… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 115 publications
0
1
0
Order By: Relevance
“…In recent years, GO approaches have been widely adopted in the field of conservation biology, being employed across a diverse array of taxa to estimate populations vulnerability to climate change to inform future management action (Ruegg et al ., 2018; Rhoné et al ., 2020; Morgan et al ., 2020; Zhang et al ., 2023a; Capblancq et al ., 2020a; Borrell et al ., 2020). These methods indeed allow accounting for population local adaptation within species, which is not achievable through conventional Species Distribution Modelling (SDM) methods that assume niche uniformity.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, GO approaches have been widely adopted in the field of conservation biology, being employed across a diverse array of taxa to estimate populations vulnerability to climate change to inform future management action (Ruegg et al ., 2018; Rhoné et al ., 2020; Morgan et al ., 2020; Zhang et al ., 2023a; Capblancq et al ., 2020a; Borrell et al ., 2020). These methods indeed allow accounting for population local adaptation within species, which is not achievable through conventional Species Distribution Modelling (SDM) methods that assume niche uniformity.…”
Section: Introductionmentioning
confidence: 99%