2022
DOI: 10.1093/molbev/msab366
|View full text |Cite
|
Sign up to set email alerts
|

Genomic Signatures of Recent Adaptation in a Wild Bumblebee

Abstract: Environmental changes threaten insect pollinators, creating risks for agriculture and ecosystem stability. Despite their importance, we know little about how wild insects respond to environmental pressures. To understand the genomic bases of adaptation in an ecologically important pollinator, we analyzed genomes of Bombus terrestris bumblebees collected across Great Britain. We reveal extensive genetic diversity within this population, and strong signatures of recent adaptation throughout the genome affecting … Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
18
1

Year Published

2022
2022
2024
2024

Publication Types

Select...
3
2

Relationship

2
3

Authors

Journals

citations
Cited by 14 publications
(19 citation statements)
references
References 57 publications
0
18
1
Order By: Relevance
“…As a provisional step to examine different selective pressures acting on canonical immune genes, we assessed the genetic diversity found within the sequenced genomes of 33 wild-sampled B. terrestris males. We identified 1,103,300 million high-quality biallelic single-nucleotide polymorphisms (SNPs) with a sliding window-based analysis (window size: 100 kb) estimating mean genome-wide nucleotide diversity (π) as 1.71 × 10 −3 ( supplementary table S2 a , Supplementary Material online), similar to diversity estimates calculated for a British population of B. terrestris (1.51 × 10 −3 ; Colgan et al 2022 ). In terms of the canonical immune genes that were analyzed ( n = 166 genes found on chromosomal scaffolds), we found no significant difference in terms of mean nucleotide diversity between them and either all other nonimmune genes (Wilcoxon rank sum test; W = 789815, P = 0.098) or a similar number of size-matched nonimmune genes (Wilcoxon rank sum test: W = 13668, P = 0.397).…”
Section: Resultsmentioning
confidence: 89%
See 3 more Smart Citations
“…As a provisional step to examine different selective pressures acting on canonical immune genes, we assessed the genetic diversity found within the sequenced genomes of 33 wild-sampled B. terrestris males. We identified 1,103,300 million high-quality biallelic single-nucleotide polymorphisms (SNPs) with a sliding window-based analysis (window size: 100 kb) estimating mean genome-wide nucleotide diversity (π) as 1.71 × 10 −3 ( supplementary table S2 a , Supplementary Material online), similar to diversity estimates calculated for a British population of B. terrestris (1.51 × 10 −3 ; Colgan et al 2022 ). In terms of the canonical immune genes that were analyzed ( n = 166 genes found on chromosomal scaffolds), we found no significant difference in terms of mean nucleotide diversity between them and either all other nonimmune genes (Wilcoxon rank sum test; W = 789815, P = 0.098) or a similar number of size-matched nonimmune genes (Wilcoxon rank sum test: W = 13668, P = 0.397).…”
Section: Resultsmentioning
confidence: 89%
“…Dashed horizontal lines indicate thresholds of positive selection (| n S L | = 2) and those within the top 1% of genome-wide SNPs (| n S L | = 2.51). ( B ) The correlation of absolute | n S L | scores calculated for the present data set consisting of Bombus terrestris males sampled in Ireland (“population 1”) and publicly available scores for a British population (“population 2”) generated by Colgan et al (2022) , highlighting conservation in signatures of positive selection in geographically separated populations. Dashed vertical and horizontal lines indicate thresholds of selection (| n S L | score ≥ 2) in each population.…”
Section: Resultsmentioning
confidence: 99%
See 2 more Smart Citations
“…Simulations are used to generate null distributions of common measures of genetic diversity and selection ( Voight et al 2006 ; Bank et al 2014 ; Ferrer-Admetlla et al 2014 ), to compare competing hypotheses about the demographic and evolutionary histories of populations ( Excoffier et al 2013 ; Enard et al 2014 ; Adrion et al 2020 ), and to predict the effects of environmental changes on different species ( DeAngelis and Mooij 2005 ; Owens and Samuk 2020 ). The absence of a simulation framework incorporating haplodiploidy has limited the exploration of genomic models of social evolution and the accurate interpretation of population genomic data for bees, ants, and other important species ( Favreau et al 2018 ; López-Osorio and Wurm 2020 ; Colgan et al 2022 ).…”
mentioning
confidence: 99%