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海草回归海洋的种群演化。

Population evolution of seagrasses returning to the ocean.

作者信息

Yan Wenjie, Wang Zhaohua, Zhou Bin

机构信息

Key Laboratory of Mariculture (Ocean University of China), Ministry of Education, Qingdao, 266003, China.

First Institute of Oceanography, MNR, Qingdao, 266061, China.

出版信息

Heliyon. 2023 Sep 15;9(9):e20231. doi: 10.1016/j.heliyon.2023.e20231. eCollection 2023 Sep.

Abstract

Seagrasses are higher flowering plants that live entirely in marine environments, with the greatest habitat variation occurring from land to sea. Genetic structure or population differentiation history is a hot topic in evolutionary biology, which is of great significance for understanding speciation. Genetic information is obtained from geographically distributed subpopulations, different subspecies, or strains of the same species using next-generation sequencing techniques. Genetic variation is identified by comparison with reference genomes. Genetic diversity is explored using population structure, principal component analysis (PCA), and phylogenetic relationships. Patterns of population genetic differentiation are elucidated by combining the isolation by distance (IBD) model, linkage disequilibrium levels, and genetic statistical analysis. Demographic history is simulated using effective population size, divergence time, and site frequency spectrum (SFS). Through various population genetic analyses, the genetic structure and historical population dynamics of seagrass can be clarified, and their evolutionary processes can be further explored at the molecular level to understand how evolutionary processes contributed to the formation of early ecological species and provide data support for seagrass conservation.

摘要

海草是完全生活在海洋环境中的高等开花植物,其栖息地变化最大的区域是从陆地到海洋。遗传结构或种群分化历史是进化生物学中的一个热门话题,对于理解物种形成具有重要意义。利用下一代测序技术从地理分布的亚种群、不同亚种或同一物种的菌株中获取遗传信息。通过与参考基因组进行比较来识别遗传变异。利用种群结构、主成分分析(PCA)和系统发育关系来探索遗传多样性。结合距离隔离(IBD)模型、连锁不平衡水平和遗传统计分析来阐明种群遗传分化模式。利用有效种群大小、分歧时间和位点频率谱(SFS)来模拟种群历史。通过各种种群遗传分析,可以阐明海草的遗传结构和历史种群动态,并在分子水平上进一步探索其进化过程,以了解进化过程如何促成早期生态物种的形成,并为海草保护提供数据支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e92/10559988/01e7af83bcc8/gr1.jpg

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