Abstract How to identify the drivers of population connectivity remains a fundamental question in ecology and evolution. Answering this question can be challenging in aquatic environments where dynamic lake and ocean currents coupled with high levels of dispersal and gene flow can decrease the utility of modern population genetic tools. To address this challenge, we used RAD‐Seq to genotype 959 yellow perch (Perca flavescens), a species with an ~40‐day pelagic larval duration (PLD), collected from 20 sites circumscribing Lake Michigan. We also developed a novel, integrative approach that couples detailed biophysical models with eco‐genetic agent‐based models to generate “predictive” values of genetic differentiation. By comparing predictive and empirical values of genetic differentiation, we estimated the relative contributions for known drivers of population connectivity (e.g., currents, behavior, PLD). For the main basin populations (i.e., the largest contiguous portion of the lake), we found that high gene flow led to low overall levels of genetic differentiation among populations (FST = 0.003). By far the best predictors of genetic differentiation were connectivity matrices that were derived from periods of time when there were strong and highly dispersive currents. Thus, these highly dispersive currents are driving the patterns of population connectivity in the main basin. We also found that populations from the northern and southern main basin are slightly divergent from one another, while those from Green Bay and the main basin are highly divergent (FST = 0.11). By integrating biophysical and eco‐genetic models with genome‐wide data, we illustrate that the drivers of population connectivity can be identified in high gene flow systems.
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Population and genetic structure of a male-dispersing strepsirrhine, Galago moholi (Primates, Galagidae), from northern South Africa, inferred from mitochondrial DNA
The habitats of Galago moholi are suspected to be largely fragmented, while the species is thought to be expanding further into the southernmost fringe of its range, as well as into human settlements. To date, no intraspecific molecular genetic studies have been published on G. moholi. Here we estimate the genetic diversity and connectivity of populations of G. moholi using two mitochondrial gene regions, the cytochrome C oxidase subunit I gene (COI) and the displacement loop of the control region (D-loop). Samples from five localities in northern South Africa were obtained from archived collections. The two mitochondrial DNA gene regions were amplified and sequenced to provide population summary statistics, differentiation [proportion of the total genetic variation in a population relative to the total genetic variance of all the populations (FST), differentiation within populations among regions (ΦST)], genetic distance and structure. There was discernible genetic structure among the individuals, with two COI and six D-loop haplotypes belonging to two genetically different groups. There was population differentiation among regions (FST = 0.670; ΦST = 0.783; P < 0.01). However, there were low levels of differentiation among populations, as haplotypes were shared between distant populations. Adjacent populations were as divergent from each other as from distant populations. The results suggest that genetic introgression, most likely due to past migrations or recent unintentional translocations that include the animal trade, may have led to connectivity among populations.
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- Award ID(s):
- 1638833
- PAR ID:
- 10495531
- Publisher / Repository:
- Springer
- Date Published:
- Journal Name:
- Primates
- Volume:
- 62
- Issue:
- 4
- ISSN:
- 0032-8332
- Page Range / eLocation ID:
- 667 to 675
- Subject(s) / Keyword(s):
- Galago moholi · Population genetics · Strepsirrhini · Genetic diversity · Bushbaby
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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