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消除遗传斑块性的混乱:海洋景观遗传学揭示了三种温带珊瑚物种遗传模式的生态和海洋学驱动因素。

Taking the chaos out of genetic patchiness: seascape genetics reveals ecological and oceanographic drivers of genetic patterns in three temperate reef species.

机构信息

Hawaii Institute of Marine Biology, Kaneohe, HI 96744, USA.

出版信息

Mol Ecol. 2010 Sep;19(17):3708-26. doi: 10.1111/j.1365-294X.2010.04658.x. Epub 2010 Aug 13.

Abstract

Marine species frequently show weak and/or complex genetic structuring that is commonly dismissed as 'chaotic' genetic patchiness and ecologically uninformative. Here, using three datasets that individually feature weak chaotic patchiness, we demonstrate that combining inferences across species and incorporating environmental data can greatly improve the predictive value of marine population genetics studies on small spatial scales. Significant correlations in genetic patterns of microsatellite markers among three species, kelp bass Paralabrax clathratus, Kellet's whelk Kelletia kelletii and California spiny lobster Panulirus interruptus, in the Southern California Bight suggest that slight differences in diversity and pairwise differentiation across sampling sites are not simply noise or chaotic patchiness, but are ecologically meaningful. To test whether interspecies correlations potentially result from shared environmental drivers of genetic patterns, we assembled data on kelp bed size, sea surface temperature and estimates of site-to-site migration probability derived from a high resolution multi-year ocean circulation model. These data served as predictor variables in linear models of genetic diversity and linear mixed models of genetic differentiation that were assessed with information-theoretic model selection. Kelp was the most informative predictor of genetics for all three species, but ocean circulation also played a minor role for kelp bass. The shared patterns suggest a single spatial marine management strategy may effectively protect genetic diversity of multiple species. This study demonstrates the power of environmental and ecological data to shed light on weak genetic patterns and highlights the need for future focus on a mechanistic understanding of the links between oceanography, ecology and genetic structure.

摘要

海洋物种经常表现出微弱和/或复杂的遗传结构,这种结构通常被认为是“混乱”的遗传斑块性,对生态学没有意义。在这里,我们使用三个数据集,每个数据集都具有微弱的混乱斑块性,证明了跨物种推断的结合和环境数据的纳入可以大大提高海洋种群遗传学研究在小空间尺度上的预测价值。在南加州湾,三种物种(海带鲈鱼 Paralabrax clathratus、Kellet's whelk Kelletia kelletii 和加利福尼亚刺龙虾 Panulirus interruptus)的微卫星标记遗传模式存在显著相关性,表明在不同采样点的多样性和成对分化之间的微小差异不仅仅是噪声或混乱的斑块性,而是具有生态学意义。为了测试物种间的相关性是否可能来自遗传模式的共同环境驱动因素,我们收集了关于巨藻床大小、海面温度和从高分辨率多年海洋环流模型得出的站点间迁移概率的估计数据。这些数据作为遗传多样性的线性模型和遗传分化的线性混合模型的预测变量,这些模型通过信息理论模型选择进行评估。巨藻是所有三种物种遗传信息最丰富的预测因子,但海洋环流对海带鲈鱼的遗传也有一定的影响。共同的模式表明,单一的空间海洋管理策略可能有效地保护多个物种的遗传多样性。本研究证明了环境和生态数据在揭示微弱遗传模式方面的强大功能,并强调了未来需要关注海洋学、生态学和遗传结构之间联系的机制理解。

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