Runze Chen , Yinqing Zeng , Caihua Yao , Faqing He , Shulin Tan , Yutao Qin , Huanhong Ji , Lihua Xia , Lining Xia , Yuru Yan , Peimin He , Jianheng Zhang
{"title":"基于船舶的eDNA追踪揭示了黄海绿潮爆发时增生Ulva微繁殖体的早期扩散模式和微生态动态","authors":"Runze Chen , Yinqing Zeng , Caihua Yao , Faqing He , Shulin Tan , Yutao Qin , Huanhong Ji , Lihua Xia , Lining Xia , Yuru Yan , Peimin He , Jianheng Zhang","doi":"10.1016/j.hal.2025.102966","DOIUrl":null,"url":null,"abstract":"<div><div>Green tides caused by <em>Ulva prolifera</em> in the South Yellow Sea (SYS) pose significant ecological and economic threats. <em>Neopyropia</em> aquaculture rafts in the Subei Shoal are considered to be the main source of green tides in the SYS, where micropropagules are the ‘Seed Bank’ for green tides. But the early dynamics of the <em>U. prolifera</em> remain unclear due to the limitations of conventional monitoring methods. This study systematically investigated the spatiotemporal distribution characteristics and key environmental driving mechanisms of environmental DNA (eDNA) from <em>U. prolifera</em> in development areas of Yellow Sea green tide, using eDNA technology combined with environmental parameters. Surveys in April and June 2024 across <em>Neopyropia</em> raft-farming (RD transect) and non-raft (SY transect) areas revealed ecological differences during early green tide development. Key findings include:(1) In April, <em>U. prolifera</em> eDNA abundance in RD exhibited a \"high near rafts, low farther away\" distribution, regulated by temperature and total nitrogen, while SY followed similar trends driven primarily by temperature. No environmental factors were found to be significantly correlated with the distribution of <em>U. prolifera</em> eDNA in June. (2) High <em>U. prolifera</em> eDNA abundance at SY4 in April was driven by hydrodynamics (tidal asymmetry), temperature, and biological interactions (e.g., Cercozoa), identifying a hotspot for monitoring. (3) Raft-farming areas exhibited stronger species interactions, with Chlorophyta and Cercozoa closely linked to <em>U. prolifera</em>. The identification of <em>Pirsonia</em> sp. and other species provides a new perspective for elucidating the competitive mechanisms underlying early-stage <em>U. prolifera</em> outbreaks and for developing early biological control strategies against green tides. This study provides molecular ecological evidence for analyzing the aggregation driving mechanism of the development areas of early green tide in the SYS, highlights the utility of eDNA in monitoring, and offers theoretical support for marine ecosystem management under climate change.</div></div>","PeriodicalId":12897,"journal":{"name":"Harmful Algae","volume":"150 ","pages":"Article 102966"},"PeriodicalIF":4.5000,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ship-based eDNA tracking unveils early dispersal patterns and microecological dynamics of Ulva prolifera micropropagules in yellow sea green tide outbreaks\",\"authors\":\"Runze Chen , Yinqing Zeng , Caihua Yao , Faqing He , Shulin Tan , Yutao Qin , Huanhong Ji , Lihua Xia , Lining Xia , Yuru Yan , Peimin He , Jianheng Zhang\",\"doi\":\"10.1016/j.hal.2025.102966\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Green tides caused by <em>Ulva prolifera</em> in the South Yellow Sea (SYS) pose significant ecological and economic threats. <em>Neopyropia</em> aquaculture rafts in the Subei Shoal are considered to be the main source of green tides in the SYS, where micropropagules are the ‘Seed Bank’ for green tides. But the early dynamics of the <em>U. prolifera</em> remain unclear due to the limitations of conventional monitoring methods. This study systematically investigated the spatiotemporal distribution characteristics and key environmental driving mechanisms of environmental DNA (eDNA) from <em>U. prolifera</em> in development areas of Yellow Sea green tide, using eDNA technology combined with environmental parameters. Surveys in April and June 2024 across <em>Neopyropia</em> raft-farming (RD transect) and non-raft (SY transect) areas revealed ecological differences during early green tide development. Key findings include:(1) In April, <em>U. prolifera</em> eDNA abundance in RD exhibited a \\\"high near rafts, low farther away\\\" distribution, regulated by temperature and total nitrogen, while SY followed similar trends driven primarily by temperature. No environmental factors were found to be significantly correlated with the distribution of <em>U. prolifera</em> eDNA in June. (2) High <em>U. prolifera</em> eDNA abundance at SY4 in April was driven by hydrodynamics (tidal asymmetry), temperature, and biological interactions (e.g., Cercozoa), identifying a hotspot for monitoring. (3) Raft-farming areas exhibited stronger species interactions, with Chlorophyta and Cercozoa closely linked to <em>U. prolifera</em>. The identification of <em>Pirsonia</em> sp. and other species provides a new perspective for elucidating the competitive mechanisms underlying early-stage <em>U. prolifera</em> outbreaks and for developing early biological control strategies against green tides. 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引用次数: 0
摘要
南黄海由藻藻引起的绿潮对生态和经济造成了严重威胁。苏北浅滩的新异位养殖筏被认为是SYS绿潮的主要来源,其中微繁殖体是绿潮的“种子库”。但由于常规监测方法的限制,美国核扩散的早期动态仍不清楚。本研究采用eDNA技术结合环境参数,系统研究了黄海绿潮发育区多刺藻环境DNA (environmental DNA, eDNA)的时空分布特征及关键环境驱动机制。2024年4月和6月的调查显示,在绿潮形成早期,新冠藻木筏养殖区(RD样带)和非木筏养殖区(SY样带)存在生态差异。主要发现包括:(1)4月,黑龙江地区浒苔eDNA丰度表现出“近筏高,远筏低”的分布规律,受温度和总氮的调节,而黑龙江地区则主要受温度的影响。6月份,环境因子与浒苔eDNA的分布无显著相关。(2) 4月SY4区增殖U. U. prolifera eDNA丰度高,受水动力(潮汐不对称)、温度和生物相互作用(如尾虫)驱动,是监测热点。(3)筏养区物种间的相互作用较强,绿藻和尾藻与藻间的相互作用密切相关。Pirsonia sp.和其他物种的鉴定为阐明早期繁殖U.爆发的竞争机制和制定针对绿潮的早期生物控制策略提供了新的视角。本研究为分析南海早期绿潮发育区域聚集驱动机制提供了分子生态学证据,突出了eDNA在监测中的应用,为气候变化下的海洋生态系统管理提供了理论支持。
Ship-based eDNA tracking unveils early dispersal patterns and microecological dynamics of Ulva prolifera micropropagules in yellow sea green tide outbreaks
Green tides caused by Ulva prolifera in the South Yellow Sea (SYS) pose significant ecological and economic threats. Neopyropia aquaculture rafts in the Subei Shoal are considered to be the main source of green tides in the SYS, where micropropagules are the ‘Seed Bank’ for green tides. But the early dynamics of the U. prolifera remain unclear due to the limitations of conventional monitoring methods. This study systematically investigated the spatiotemporal distribution characteristics and key environmental driving mechanisms of environmental DNA (eDNA) from U. prolifera in development areas of Yellow Sea green tide, using eDNA technology combined with environmental parameters. Surveys in April and June 2024 across Neopyropia raft-farming (RD transect) and non-raft (SY transect) areas revealed ecological differences during early green tide development. Key findings include:(1) In April, U. prolifera eDNA abundance in RD exhibited a "high near rafts, low farther away" distribution, regulated by temperature and total nitrogen, while SY followed similar trends driven primarily by temperature. No environmental factors were found to be significantly correlated with the distribution of U. prolifera eDNA in June. (2) High U. prolifera eDNA abundance at SY4 in April was driven by hydrodynamics (tidal asymmetry), temperature, and biological interactions (e.g., Cercozoa), identifying a hotspot for monitoring. (3) Raft-farming areas exhibited stronger species interactions, with Chlorophyta and Cercozoa closely linked to U. prolifera. The identification of Pirsonia sp. and other species provides a new perspective for elucidating the competitive mechanisms underlying early-stage U. prolifera outbreaks and for developing early biological control strategies against green tides. This study provides molecular ecological evidence for analyzing the aggregation driving mechanism of the development areas of early green tide in the SYS, highlights the utility of eDNA in monitoring, and offers theoretical support for marine ecosystem management under climate change.
期刊介绍:
This journal provides a forum to promote knowledge of harmful microalgae and macroalgae, including cyanobacteria, as well as monitoring, management and control of these organisms.