Hu Zi-Min, Li Jing-Jing, Sun Zhong-Min, Gao Xu, Yao Jian-Ting, Choi Han-Gil, Endo Hikaru, Duan De-Lin
Key Laboratory of Experimental Marine Biology Institute of Oceanology Chinese Academy of Sciences Qingdao China; Laboratory for Marine Biology and Biotechnology Qingdao National Laboratory for Marine Science and Technology Qingdao China.
Key Laboratory of Experimental Marine Biology Institute of Oceanology Chinese Academy of Sciences Qingdao China; Laboratory for Marine Biology and Biotechnology Qingdao National Laboratory for Marine Science and Technology Qingdao China; College of Earth Science University of Chinese Academy of Sciences Beijing China; Present address: Institute of Marine Biology College of Oceanography Hohai University Nanjing 210098 China.
Evol Appl. 2017 Feb 19;10(4):366-378. doi: 10.1111/eva.12455. eCollection 2017 Apr.
Understanding the evolutionary processes that have created diversity and the genetic potential of species to adapt to environmental change is an important premise for biodiversity conservation. Herein, we used mitochondrial W-L and 3 and plastid L-S data sets to analyze population genetic variation and phylogeographic history of the brown alga , whose natural resource has been largely exterminated in the Asia-Northwest Pacific in the past decades. Phylogenetic trees and network analysis consistently revealed three major haplotype groups (A, B, and C) in , with A and B distributed in the Japan-Pacific coast. Group C consisted of three subgroups (C1, C2, and C3) which were distributed in the Sea of Japan, the Yellow-Bohai Sea, and East China Sea, respectively. Isolation-with-migration (IM a) analysis revealed that the three groups diverged approximately during the mid-Pleistocene (. 756-1,224 ka). Extended Bayesian skyline plots (EBSP) showed that groups A and B underwent relatively long-term stable population size despite a subsequent rapid demographic expansion, while subgroups C2 and C3 underwent a sudden expansion at . 260 ka. and AMOVA detected low population-level genetic variation and high degrees of divergence between groups. The cryptic diversity and phylogeographic patterns found in not only are essential to understand how environmental shifts and evolutionary processes shaped diversity and distribution of coastal seaweeds but also provide additional insights for conserving and managing seaweed resources and facilitate predictions of their responses to future climate change and habitat loss.
了解创造生物多样性的进化过程以及物种适应环境变化的遗传潜力是生物多样性保护的重要前提。在此，我们使用线粒体W-L和3以及质体L-S数据集来分析褐藻的种群遗传变异和系统发育地理历史，在过去几十年中，该褐藻的自然资源在亚洲-西北太平洋地区已基本灭绝。系统发育树和网络分析一致揭示了褐藻中的三个主要单倍型组（A、B和C），其中A和B分布在日本太平洋沿岸。C组由三个亚组（C1、C2和C3）组成，分别分布在日本海、黄渤海和东海。隔离-迁移（IM a）分析表明，这三个组大约在更新世中期（约75.6-122.4千年前）分化。扩展贝叶斯天际线图（EBSP）显示，尽管随后出现了快速的人口扩张，但A组和B组的种群规模经历了相对长期的稳定，而C2和C3亚组在约26千年前经历了突然扩张。分子方差分析（AMOVA）检测到种群水平的遗传变异较低，且各组之间存在高度分化。在褐藻中发现的隐秘多样性和系统发育地理模式不仅对于理解环境变化和进化过程如何塑造沿海海藻的多样性和分布至关重要，而且为海藻资源的保护和管理提供了额外的见解，并有助于预测它们对未来气候变化和栖息地丧失的反应。
