Identifying drivers of dispersal limitation and genetic differentiation is a key goal in biogeography. We examine patterns of population connectivity and genetic diversity using restriction site‐associated
Geographic variation in insect coloration is among the most intriguing examples of rapid phenotypic evolution and provides opportunities to study mechanisms of phenotypic change and diversification in closely related lineages. The bumble bee
- Award ID(s):
- 1457659
- NSF-PAR ID:
- 10196916
- Publisher / Repository:
- Wiley Blackwell (John Wiley & Sons)
- Date Published:
- Journal Name:
- Ecology and Evolution
- Volume:
- 6
- Issue:
- 4
- ISSN:
- 2045-7758
- Page Range / eLocation ID:
- p. 1075-1091
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Abstract DNA sequencing (RAD seq) in two bumble bee species,Bombus vosnesenskii andBombus bifarius, across latitude and altitude in mountain ranges from California, Oregon and Washington, U.S.A.Bombus vosnesenskii , which occurs across a broader elevational range at most latitudes, exhibits little population structure whileB. bifarius , which occupies a relatively narrow higher elevation niche across most latitudes, exhibits much stronger population differentiation, although gene flow in both species is best explained by isolation with environmental niche resistance. A relationship between elevational habitat breadth and genetic diversity is also apparent, withB. vosnesenskii exhibiting relatively consistent levels of genetic diversity across its range, whileB. bifarius has reduced genetic diversity at low latitudes, where it is restricted to high‐elevation habitat. The results of this study highlight the importance of the intersect between elevational range and habitat suitability in influencing population connectivity and suggest that future climate warming will have a fragmenting effect even on populations that are presently well connected, as they track their thermal niches upward in montane systems. -
Abstract A major goal of speciation research is to reveal the genomic signatures that accompany the speciation process. Genome scans are routinely used to explore genome‐wide variation and identify highly differentiated loci that may contribute to ecological divergence, but they do not incorporate spatial, phenotypic or environmental data that might enhance outlier detection. Geographic cline analysis provides a potential framework for integrating diverse forms of data in a spatially explicit framework, but has not been used to study genome‐wide patterns of divergence. Aided by a first‐draft genome assembly, we combined an
F CTscan and geographic cline analysis to characterize patterns of genome‐wide divergence between divergent pollination ecotypes ofMimulus aurantiacus .F CTanalysis of 58 872SNP s generated viaRAD ‐seq revealed little ecotypic differentiation (meanF CT = 0.041), although a small number of loci were moderately‐to‐highly diverged. Consistent with our previous results from the geneMaMyb2 , which contributes to differences in flower colour, 130 loci have cline shapes that recapitulate the spatial pattern of trait divergence, suggesting that they may reside in or near the genomic regions that contribute to pollinator isolation. In the narrow hybrid zone between the ecotypes, extensive admixture among individuals and low linkage disequilibrium between markers indicate that most outlier loci are scattered throughout the genome, rather than being restricted to one or a few divergent regions. In addition to revealing the genomic consequences of ecological divergence in this system, we discuss how geographic cline analysis is a powerful but under‐utilized framework for studying genome‐wide patterns of divergence. -
Abstract Reproductive isolation can be initiated by changes in one or a few key traits that prevent random mating among individuals in a population. During the early stages of speciation, when isolation is often incomplete, there will be a heterogeneous pattern of differentiation across regions of the genome between diverging populations, with loci controlling these key traits appearing the most distinct as a result of strong diversifying selection. In this study, we used Illumina‐sequenced dd
RAD tags to identify genomewide patterns of differentiation in three recently diverged island populations of theMonarcha castaneiventris flycatcher of the Solomon Islands. Populations of this species have diverged in plumage colour, and these differences in plumage colour, in turn, are used in conspecific recognition and likely important in reproductive isolation. Previous candidate gene sequencing identified point mutations in andMC 1R , both known pigmentation genes, to be associated with the difference in plumage colour between islands. Here, we show that background levels of genomic differentiation based on over 70,000ASIP SNP s are extremely low between populations of distinct plumage colour, with no loci reaching the level of differentiation found in either candidate gene. Further, we found that a phylogenetic analysis based on theseSNP s produced a taxonomy wherein the two melanic populations appear to have evolved convergently, rather than from a single common ancestor, in contrast to their original classification as a single subspecies. Finally, we found evidence that the pattern of low genomic differentiation is the result of both incomplete lineage sorting and gene flow between populations. -
Premise The ability to sequence genome‐scale data from herbarium specimens would allow for the economical development of data sets with broad taxonomic and geographic sampling that would otherwise not be possible. Here, we evaluate the utility of a basic double‐digest restriction site–associated
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Discussion These results suggest that herbarium samples can be incorporated into dd
RAD seq project designs, and that specimen age can be used as a rapid on‐site guide for sample choice. The detailed protocol we provide will allow users to pursue herbarium‐based ddRAD seq projects that minimize the expenses associated with fieldwork and sample evaluation. -
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