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热带海洋学报

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基于宏条形码技术的北部湾近岸海域无脊椎动物多样性的季节动态和群落构建

李晓婷，甫佳，邱梦涵，吴宗奇，李皓琛，刘莹，彭春艳，龚斌
  

  1. 北部湾大学海洋学院，广西海洋环境灾害过程与生态保护技术重点实验室，平陆运河河口海湾生态系统广西野外科学观测研究站，广东 钦州 535011


  • 收稿日期:2025-09-01 修回日期:2025-11-27 接受日期:2025-12-13
  • 通讯作者: 龚斌
  • 基金资助:
    广西重点研发项目(桂科AB24010146)，广西自然科学基金重点项目(2020GXNSFDA238015）

Seasonal dynamics and community assembly of invertebrate diversity in the coastal waters of the Beibu Gulf Based on metabarcoding technology #br#

LI Xiaoting, FU Jia, QIU Menghan, WU Zongqi, LI Haochen, LIU Ying, PENG Chunyan, GONG Bin   


  • Received:2025-09-01 Revised:2025-11-27 Accepted:2025-12-13
  • Supported by:

    Guangxi Key Research and Development Program(桂科AB24010146), Key Project of Guangxi Natural Science Foundation (2020GXNSFDA238015)

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摘要： The zooplankton in coastal regions are of great significance and plays a major role in sustaining the health of marine ecosystems. However, comprehending the environmental factors that influence diversity and community assembly in marine ecosystems remains a challenge. This study utilized high-throughput sequencing (HTS) of the 18S rRNA gene (V4 region) to examine the impact of environmental variables on the diversity, co-occurrence networks, and assembly processes of zooplankton in a bay and estuarine area in Beibu Gulf, China. This study indicates that there are significant seasonal variations in alpha diversity, beta diversity, and co-occurrent network. The alpha diversity of zooplankton demonstrated intricate associations with environmental factors, and the adaptation to varying temperatures can account for the majority of the impacts of environmental factors on alpha diversity. The regional distance-decay had an impact on the beta diversity, with the exception of December. The deterministic processes were more pronounced in December (35%) compared to other seasons (3.3%-10%). At elevated temperatures in September or reduced temperatures in December, the zooplankton community exhibited increased susceptibility to fluctuations in seawater properties. This finding coincided with the partial least-squares path modeling (PLS-PM) analysis. The varied responses of zooplankton assemblages to environmental factors may be attributed to the presence of different dominant zooplankton in different seasons. The seasonal variation in the zooplankton community may be primarily influenced by the zooplankton’s adaptation to ambient temperatures, leading to distinct network characteristics throughout different seasons. The collective findings provide insights into the environmental characteristics and seasonal variability affecting the community assemblage of zooplankton in bays and estuaries.

关键词: zooplankton, 18S rRNA metabarcoding, high-throughput sequencing, temperature, deterministic processes

Abstract: The zooplankton in coastal regions are of great significance and plays a major role in sustaining the health of marine ecosystems. However, comprehending the environmental factors that influence diversity and community assembly in marine ecosystems remains a challenge. This study utilized high-throughput sequencing (HTS) of the 18S rRNA gene (V4 region) to examine the impact of environmental variables on the diversity, co-occurrence networks, and assembly processes of zooplankton in a bay and estuarine area in Beibu Gulf, China. This study indicates that there are significant seasonal variations in alpha diversity, beta diversity, and co-occurrent network. The alpha diversity of zooplankton demonstrated intricate associations with environmental factors, and the adaptation to varying temperatures can account for the majority of the impacts of environmental factors on alpha diversity. The regional distance-decay had an impact on the beta diversity, with the exception of December. The deterministic processes were more pronounced in December (35%) compared to other seasons (3.3%-10%). At elevated temperatures in September or reduced temperatures in December, the zooplankton community exhibited increased susceptibility to fluctuations in seawater properties. This finding coincided with the partial least-squares path modeling (PLS-PM) analysis. The varied responses of zooplankton assemblages to environmental factors may be attributed to the presence of different dominant zooplankton in different seasons. The seasonal variation in the zooplankton community may be primarily influenced by the zooplankton’s adaptation to ambient temperatures, leading to distinct network characteristics throughout different seasons. The collective findings provide insights into the environmental characteristics and seasonal variability affecting the community assemblage of zooplankton in bays and estuaries.

Key words: zooplankton, 18S rRNA metabarcoding, high-throughput sequencing, temperature, deterministic processes