Climate niche conservatism and complex topography illuminate the cryptic diversification of Asian shrew‐like moles

• DOI: 10.1111/jbi.13401
• Publication Date: 2018-08-12T00:53:36Z
• Authors: Tao Wan; Kai He; Wei Jin; Shao‐Ying Liu; Zhong‐Zheng Chen; Bin Zhang; Robert W. Murphy; Xue‐Long Jiang
• Keywords: Species complex; Biodiversity hotspot; Shrew

Abstract Aim The drivers of extraordinary species diversity and endemism in biodiversity hotspots remain elusive. To identify such drivers, it is necessary to understand the origin allopatric cryptic that formed as an important part low‐latitude montane areas. Here, we test hypotheses regarding patterns processes underlie Asian shrew‐like moles ( Uropsilus , Uropsilinae, Talpidae), which exhibit strikingly high diversity. Specifically, niche conservatism complex topography explain largely diversification these small mammals. Location mountains Southwest China MSC ), are a hotspot, adjacent Materials methods A total 186 specimens include all seven were collected from key geographical areas . One mitochondrial six nuclear genes sequenced for phylogenetic phylogeographical analyses. We reconstructed phylogeny delimited boundaries within using multiple methods. also tested hypothesis examined effect on genetic divergence. Furthermore, implemented hierarchical examination spatial‐temporal dynamics our study system. Results Phylogenetic delimitation analyses discovered vastly more than had been identified morphology‐based taxonomy. Significant similarity between sibling phylogroups was detected structure accorded well with Relatively stable biogeographical diffusion demography, situ persistence during last glacial cycle, detected. Main conclusions Our analysis indicates much has occurred without evident divergence; hence topographical provided strongly isolation ecological gradients reinforce sedentary organisms. Cryptic species, consequence lack variability traits, attributed stabilizing selection by optimal and/or climatic envelopes over evolutionary time‐scales. findings indicate global certain could be underestimated. Analyses other biological systems can determine universality MSC.