期刊
PEERJ
卷 9, 期 -, 页码 -出版社
PEERJ INC
DOI: 10.7717/peerj.11498
关键词
Bobcat; Gene flow; Landscape genetics; Redundancy analysis; Spatial autocorrelation; Lynx rufus; Isolation by ecology
资金
- West Texas A&M University Graduate School
- West Texas A&M University Killgore Research Grant Program
Spatial genetic variation in bobcats (Lynx rufus) is influenced by habitat preferences, with landscape variables impacting gene flow at different spatial scales. Male-biased dispersal and habitat type play key roles in shaping genetic structure in bobcat populations. The study highlights the importance of multiscale approaches in understanding spatial genetic patterns in highly mobile species like bobcats.
Patterns of spatial genetic variation can be generated by a variety of ecological processes, including individual preferences based on habitat. These ecological processes act at multiple spatial and temporal scales, generating scale-dependent effects on gene flow. In this study, we focused on bobcats (Lynx rufus), a highly mobile, generalist felid that exhibits ecological and behavioral plasticity, high abundance, and broad connectivity across much of their range. However, bobcats also show genetic differentiation along habitat breaks, a pattern typically observed in cases of isolation-by-ecology (IBE). The IBE observed in bobcats is hypothesized to occur due to habitat-biased dispersal, but it is unknown if this occurs at other habitat breaks across their range or at what spatial scale IBE becomes most apparent. Thus, we used a multiscale approach to examine isolation by ecology (IBE) patterns in bobcats (Lynx rufus) at both fine and broad spatial scales in western Texas. We genotyped 102 individuals at nine microsatellite loci and used partial redundancy analysis (pRDA) to test if a suite of landscape variables influenced genetic variation in bobcats. Bobcats exhibited a latitudinal cline in population structure with a spatial signature of male-biased dispersal, and no clear barriers to gene flow. Our pRDA tests revealed high genetic similarity in similar habitats, and results differed by spatial scale. At the fine spatial scale, herbaceous rangeland was an important influence on gene flow whereas mixed rangeland and agriculture were significant at the broad spatial scale. Taken together, our results suggests that complex interactions between spatial-use behavior and landscape heterogeneity can create non-random gene flow in highly mobile species like bobcats. Furthermore, our results add to the growing body of data highlighting the importance of multiscale study designs when assessing spatial genetic structure.
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