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驱动河流生态系统种内遗传多样性空间格局的进化过程。

Evolutionary processes driving spatial patterns of intraspecific genetic diversity in river ecosystems.

作者信息

Paz-Vinas I, Loot G, Stevens V M, Blanchet S

机构信息

Centre National de la Recherche Scientifique (CNRS), École Nationale de Formation Agronomique (ENFA), UMR 5174 EDB (Laboratoire Évolution & Diversité Biologique), Université Paul Sabatier, 118 route de Narbonne, 31062, Toulouse Cedex 4, France.

UPS, UMR 5174 (EDB), Université de Toulouse, 118 route de Narbonne, 31062, Toulouse Cedex 4, France.

出版信息

Mol Ecol. 2015 Sep;24(18):4586-604. doi: 10.1111/mec.13345. Epub 2015 Sep 10.

Abstract

Describing, understanding and predicting the spatial distribution of genetic diversity is a central issue in biological sciences. In river landscapes, it is generally predicted that neutral genetic diversity should increase downstream, but there have been few attempts to test and validate this assumption across taxonomic groups. Moreover, it is still unclear what are the evolutionary processes that may generate this apparent spatial pattern of diversity. Here, we quantitatively synthesized published results from diverse taxa living in river ecosystems, and we performed a meta-analysis to show that a downstream increase in intraspecific genetic diversity (DIGD) actually constitutes a general spatial pattern of biodiversity that is repeatable across taxa. We further demonstrated that DIGD was stronger for strictly waterborne dispersing than for overland dispersing species. However, for a restricted data set focusing on fishes, there was no evidence that DIGD was related to particular species traits. We then searched for general processes underlying DIGD by simulating genetic data in dendritic-like river systems. Simulations revealed that the three processes we considered (downstream-biased dispersal, increase in habitat availability downstream and upstream-directed colonization) might generate DIGD. Using random forest models, we identified from simulations a set of highly informative summary statistics allowing discriminating among the processes causing DIGD. Finally, combining these discriminant statistics and approximate Bayesian computations on a set of twelve empirical case studies, we hypothesized that DIGD were most likely due to the interaction of two of these three processes and that contrary to expectation, they were not solely caused by downstream-biased dispersal.

摘要

描述、理解和预测遗传多样性的空间分布是生物科学中的核心问题。在河流景观中,一般预测中性遗传多样性应沿下游增加,但很少有人尝试跨分类群对这一假设进行检验和验证。此外,尚不清楚哪些进化过程可能产生这种明显的多样性空间模式。在此,我们定量综合了生活在河流生态系统中的不同分类群已发表的结果,并进行了一项荟萃分析,以表明种内遗传多样性(DIGD)的下游增加实际上构成了一种普遍的生物多样性空间模式,这种模式在不同分类群中具有重复性。我们进一步证明,对于严格依赖水传播扩散的物种,DIGD比依赖陆地扩散的物种更强。然而,对于一个聚焦于鱼类的有限数据集,没有证据表明DIGD与特定的物种特征有关。然后,我们通过在树状河流系统中模拟遗传数据来寻找DIGD背后的一般过程。模拟结果显示,我们考虑的三个过程(下游偏向扩散、下游栖息地可用性增加和上游定向定殖)可能会产生DIGD。利用随机森林模型,我们从模拟中确定了一组信息量丰富的汇总统计量,可用于区分导致DIGD的过程。最后,将这些判别统计量与近似贝叶斯计算方法结合应用于12个实证案例研究,我们推测DIGD最有可能是由于这三个过程中的两个相互作用所致,并且与预期相反,它们并非仅仅由下游偏向扩散引起。

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