Stream flow alone does not predict population structure of diving beetles across complex tropical landscapes
Stream flow alone does not predict population structure of diving beetles across complex tropical landscapes
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仅凭溪流流量并不能预测复杂热带景观中潜水甲虫的种群结构
DOI:
10.1111/mec.14807
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发表时间:
2018
影响因子:
4.9
通讯作者:
Roderick
中科院分区:
文献类型:
--
作者:
Toussaint;Kindler;Van Dam;Panjaitan;Roderick
Recent theoretical advances have hypothesized a central role of habitat persistence on population genetic structure and resulting biodiversity patterns of freshwater organisms. Here, we address the hypothesis that lotic species, or lineages adapted to comparably geologically stable running water habitats (streams and their marginal habitats), have high levels of endemicity and phylogeographic structure due to the persistent nature of their habitat. We use a nextRAD DNA sequencing approach to investigate the population structure and phylogeography of a putatively widespread New Guinean species of diving beetle,Philaccolilus ameliae(Dytiscidae). We find thatP. ameliaeis a complex of morphologically cryptic, but geographically and genetically well‐differentiated clades. The pattern of population connectivity is consistent with theoretical predictions associated with stable lotic habitats. However, in two clades, we find a more complex pattern of low population differentiation, revealing dispersal across rugged mountains and watersheds of New Guinea up to 430 km apart. These results, while surprising, were also consistent with the original formulation of the habitat template concept by Southwood, involving lineage‐idiosyncratic evolution in response to abiotic factors. In our system, low population differentiation might reflect a young species in a phase of range expansion utilizing vast available habitat. We suggest that predictions of life history variation resulting from the dichotomy between lotic and lentic organisms require more attention to habitat characterization and microhabitat choice. Our results also underpin the necessity to study fine‐scale processes but at a larger geographical scale, as compared to solely documenting macroecological patterns, to understand ecological drivers of regional biodiversity. Comprehensive sampling especially of tropical lineages in complex and threatened environments such as New Guinea remains a critical challenge.
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影响因子:
3.3
作者:
J. K. Pritchard;Matthew Stephens;Peter Donnelly
通讯作者:
J. K. Pritchard;Matthew Stephens;Peter Donnelly
影响因子:
4.9
作者:
Andrew E. Z. Short;M. Caterino
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影响因子:
4.1
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Bruxaux, Jade;Gabrielli, Maeva;Thebaud, Christophe
通讯作者:
Thebaud, Christophe
影响因子:
3.1
作者:
A. Georges;R. Spencer;Michael A. Welsh;H. B. Shaffer;R. Walsh;Xiuwen Zhang
通讯作者:
Xiuwen Zhang
影响因子:
3.3
作者:
E. Wilson
通讯作者:
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