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海洋连通性和栖息地特征预测了极端热带环境下海草的种群遗传结构。

Ocean connectivity and habitat characteristics predict population genetic structure of seagrass in an extreme tropical setting.

作者信息

Hernawan Udhi E, van Dijk Kor-Jent, Kendrick Gary A, Feng Ming, Berry Oliver, Kavazos Christopher, McMahon Kathryn

机构信息

School of Science and Centre for Marine Ecosystems Research Edith Cowan University Joondalup Western Australia Australia.

Research Centre for Oceanography (PRO), National Research and Innovation Agency (BRIN) Jakarta Indonesia.

出版信息

Ecol Evol. 2023 Jul 3;13(7):e10257. doi: 10.1002/ece3.10257. eCollection 2023 Jul.

Abstract

Understanding patterns of gene flow and processes driving genetic differentiation is important for a broad range of conservation practices. In marine organisms, genetic differentiation among populations is influenced by a range of spatial, oceanographic, and environmental factors that are attributed to the seascape. The relative influences of these factors may vary in different locations and can be measured using seascape genetic approaches. Here, we applied a seascape genetic approach to populations of the seagrass, , at a fine spatial scale (~80 km) in the Kimberley coast, western Australia, a complex seascape with strong, multidirectional currents greatly influenced by extreme tidal ranges (up to 11 m, the world's largest tropical tides). We incorporated genetic data from a panel of 16 microsatellite markers, overwater distance, oceanographic data derived from predicted passive dispersal on a 2 km-resolution hydrodynamic model, and habitat characteristics from each meadow sampled. We detected significant spatial genetic structure and asymmetric gene flow, in which meadows 12-14 km apart were less connected than ones 30-50 km apart. This pattern was explained by oceanographic connectivity and differences in habitat characteristics, suggesting a combined scenario of dispersal limitation and facilitation by ocean current with local adaptation. Our findings add to the growing evidence for the key role of seascape attributes in driving spatial patterns of gene flow. Despite the potential for long-distance dispersal, there was significant genetic structuring over small spatial scales implicating dispersal and recruitment bottlenecks and highlighting the importance of implementing local-scale conservation and management measures.

摘要

了解基因流动模式以及驱动遗传分化的过程对于广泛的保护实践至关重要。在海洋生物中,种群间的遗传分化受到一系列空间、海洋学和环境因素的影响,这些因素都归因于海洋景观。这些因素的相对影响在不同地点可能会有所不同,可以使用海洋景观遗传学方法进行测量。在这里,我们在澳大利亚西部金伯利海岸精细的空间尺度(约80公里)上,对海草的种群应用了海洋景观遗传学方法,该地区是一个复杂的海洋景观,强大的多向洋流受到极端潮汐范围(高达11米,世界上最大的热带潮汐)的极大影响。我们纳入了来自一组16个微卫星标记的遗传数据、水上距离、从2公里分辨率水动力模型上预测的被动扩散得出的海洋学数据,以及每个采样草甸的栖息地特征。我们检测到了显著的空间遗传结构和不对称基因流动,其中相距12 - 14公里的草甸之间的连通性低于相距30 - 50公里的草甸。这种模式可以通过海洋学连通性和栖息地特征的差异来解释,这表明存在扩散限制以及洋流促进与局部适应相结合的情况。我们的研究结果进一步证明了海洋景观属性在驱动基因流动空间模式方面的关键作用。尽管存在远距离扩散的可能性,但在小空间尺度上仍存在显著的遗传结构,这意味着扩散和补充瓶颈,并突出了实施地方尺度保护和管理措施的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0331/10316484/290f4e5fc041/ECE3-13-e10257-g005.jpg

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