温度和河流径流对北部湾浮游植物群落多样性的影响:18 S rDNA 代谢编码分析的启示。

IF 2.3 Q2 ECOLOGY BMC ecology and evolution Pub Date : 2024-10-22 DOI:10.1186/s12862-024-02315-1
Zheng Xiong, Zongsheng Xie, Haochen Li, Chunyan Peng, Jixin Jia, Xiaobo Liu, Jingjing Song, Ying Liu, Yuyue Qin, Bin Gong
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摘要

背景:位于北部湾北部的三娘湾和大风江是中国著名的八大中华白海豚栖息地之一。该区域具有典型的河口和海湾生态系统,海水水动力条件复杂。此外,富营养化和大型基建工程等人为压力导致栖息地不断恶化和消失。了解该地区的浮游植物群落及其与环境因素的关系迫在眉睫:本研究采用 18 S rDNA 代谢编码分析方法,评估了 SNB 和 DFR 区域浮游植物群落的多样性、组装机制及其与海水理化特征的关系。结果表明,季节变化对浮游植物群落的阿尔法多样性有明显影响。3月至7月,随着平均气温从25.2℃升至28.1℃,香农或物种丰富度与温度呈负相关。在高温季节(9 月,平均气温 32.1℃),浮游植物多样性与营养物质(NH4+、NO3-、PO43-、TN)呈负相关。此外,雨季浮游植物群落的布雷-柯蒂斯相似度明显低于旱季。在三月份,采样点之间的距离与布雷-柯蒂斯相似度呈最密切的正相关。随机过程,特别是扩散限制和生态漂移,是群落集结的主要驱动力,而确定性集结过程(主要是异质选择)所占比例相对较小(结论:温度升高降低了浮游植物群落的多样性:温度的升高降低了南大西洋和北大西洋浮游植物的多样性,而营养物质的输入和河口地区的富营养化将加剧浮游植物多样性的丧失。
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The influence of temperature and river runoff on phytoplankton community diversity in Beibu Gulf: insight from 18 S rDNA metabarcoding analysis.

Background: Sanniang Bay (SNB) and Dafeng River (DFR), located in the northern Beibu Gulf, is well-known as one of the eight habitats for humpback dolphins in China. This region is representative of typical estuarine and bay ecosystems and produce complex hydrodynamic seawater conditions. Moreover, anthropogenic pressure, such as eutrophication and large-scale infrastructure projects, have caused ongoing habitat deterioration and loss. It is urgent to know the phytoplankton community and their relationships with environmental factors in this region.

Results: In this study, we assessed the diversity and assembly mechanisms of phytoplankton communities, as well as their relationship with the physicochemical characteristics of seawater in SNB and DFR region using 18 S rDNA metabarcoding analysis. The results showed that seasonal changes markedly impacted the alpha diversity of the phytoplankton community. From March to July, with the average temperature increasing from 25.2℃ to 28.1℃,the Shannon or Species Richness were negatively correlated with temperature. During hot season (in Sep, average temperature 32.1℃), phytoplankton diversity was negatively correlated with nutrients (NH4 +, NO3-, PO43-, TN). Additionally, during the rainy season, the Bray-Curtis similarity of the phytoplankton community was significantly lower than during the dry season. In March, the distance among the sampling sites was most strongly and positively correlated with the Bray-Curtis dissimilarity. Stochastic processes, specifically dispersal limitation and ecological drift, are the primary drivers of community assembly, while deterministic assembly processes (mainly heterogeneous selection) contribute a relatively minor portion (< 17%).

Conclusions: Rising temperature diminished the diversity of phytoplankton in SNB and DFR, and nutrient inputs and eutrophication in estuarine areas will aggravate the loss of phytoplankton diversity.

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