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遗传学能告诉我们关于种群连通性的什么信息?

What can genetics tell us about population connectivity?

机构信息

Division of Biological Sciences, University of Montana, Missoula, MT 59812, USA.

出版信息

Mol Ecol. 2010 Aug;19(15):3038-51. doi: 10.1111/j.1365-294X.2010.04688.x.

Abstract

Genetic data are often used to assess 'population connectivity' because it is difficult to measure dispersal directly at large spatial scales. Genetic connectivity, however, depends primarily on the absolute number of dispersers among populations, whereas demographic connectivity depends on the relative contributions to population growth rates of dispersal vs. local recruitment (i.e. survival and reproduction of residents). Although many questions are best answered with data on genetic connectivity, genetic data alone provide little information on demographic connectivity. The importance of demographic connectivity is clear when the elimination of immigration results in a shift from stable or positive population growth to negative population growth. Otherwise, the amount of dispersal required for demographic connectivity depends on the context (e.g. conservation or harvest management), and even high dispersal rates may not indicate demographic interdependence. Therefore, it is risky to infer the importance of demographic connectivity without information on local demographic rates and how those rates vary over time. Genetic methods can provide insight on demographic connectivity when combined with these local demographic rates, data on movement behaviour, or estimates of reproductive success of immigrants and residents. We also consider the strengths and limitations of genetic measures of connectivity and discuss three concepts of genetic connectivity that depend upon the evolutionary criteria of interest: inbreeding connectivity, drift connectivity, and adaptive connectivity. To conclude, we describe alternative approaches for assessing population connectivity, highlighting the value of combining genetic data with capture-mark-recapture methods or other direct measures of movement to elucidate the complex role of dispersal in natural populations.

摘要

遗传数据通常用于评估“种群连通性”,因为在大的空间尺度上直接测量扩散是很困难的。然而,遗传连通性主要取决于种群间扩散者的绝对数量,而人口连通性取决于扩散对种群增长率的相对贡献与本地招募(即居民的生存和繁殖)。尽管许多问题最好通过遗传连通性的数据来回答,但遗传数据本身对人口连通性的信息很少。当消除移民导致从稳定或正人口增长转变为负人口增长时,人口连通性的重要性就很明显了。否则,人口连通性所需的扩散量取决于具体情况(例如保护或收获管理),即使高扩散率也不一定表明人口相互依存。因此,如果没有关于当地人口率以及这些率随时间如何变化的信息,推断人口连通性的重要性是有风险的。遗传方法可以与这些本地人口率、运动行为数据或移民和居民的生殖成功率估计值结合起来,提供对人口连通性的深入了解。我们还考虑了连通性遗传测量的优缺点,并讨论了三种依赖于感兴趣的进化标准的遗传连通性概念:近亲繁殖连通性、漂移连通性和适应性连通性。最后,我们描述了评估种群连通性的替代方法,强调了将遗传数据与捕获-标记-再捕获方法或其他直接测量扩散的方法相结合以阐明扩散在自然种群中的复杂作用的价值。

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