Oceanography and life history predict contrasting genetic population structure in two Antarctic fish species.

Oceanography and life history predict contrasting genetic population structure in two Antarctic fish species.
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海洋学和生活史预测了两种南极鱼类的遗传种群结构对比。

DOI:
10.1111/eva.12259
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发表时间:
2015-06
影响因子:
4.1
通讯作者:
Carvalho GR
Carvalho GR
中科院分区:
生物学2区
文献类型:
--
作者:
Young EF;Belchier M;Hauser L;Horsburgh GJ;Meredith MP;Murphy EJ;Pascoal S;Rock J;Tysklind N;Carvalho GR

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了解海洋环境中人口连通性的主要驱动因素对于有效管理自然资源至关重要。虽然已经使用了几种不同的方法来评估连通性,但它们很少在数量上进行整合。在这里,我们使用“海景遗传学”的方法,结合海洋建模和微卫星分析,了解两种南极鱼类的种群遗传结构的主导影响,对比生活史,Champsocephalus gunnari和Notothenia rossii。模型预测和经验遗传结构之间的密切雅阁表明,被动扩散在的的生活早期阶段是两个物种的遗传结构的模式和程度的主导影响。古纳尔库蚊的休眠期较短,限制了幼虫在远距离种群之间的直接运输,导致更强的区域分化。相比之下,地理距离并没有影响分化的N. rossii,其较长的幼虫期促进长距离扩散。海洋流的年际变化强烈影响了预测的遗传结构,这表明气候变化导致的环流模式的变化可能会影响未来的遗传连通性以及当地适应、复原力和从扰动中恢复的机会。需要进一步开发现实的气候模型,以充分评估这种潜在影响。
Understanding the key drivers of population connectivity in the marine environment is essential for the effective management of natural resources. Although several different approaches to evaluating connectivity have been used, they are rarely integrated quantitatively. Here, we use a ‘seascape genetics’ approach, by combining oceanographic modelling and microsatellite analyses, to understand the dominant influences on the population genetic structure of two Antarctic fishes with contrasting life histories, Champsocephalus gunnari and Notothenia rossii. The close accord between the model projections and empirical genetic structure demonstrated that passive dispersal during the planktonic early life stages is the dominant influence on patterns and extent of genetic structuring in both species. The shorter planktonic phase of C. gunnari restricts direct transport of larvae between distant populations, leading to stronger regional differentiation. By contrast, geographic distance did not affect differentiation in N. rossii, whose longer larval period promotes long-distance dispersal. Interannual variability in oceanographic flows strongly influenced the projected genetic structure, suggesting that shifts in circulation patterns due to climate change are likely to impact future genetic connectivity and opportunities for local adaptation, resilience and recovery from perturbations. Further development of realistic climate models is required to fully assess such potential impacts.
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