基于eDNA揭示雅鲁藏布江中游浮游植物群落组装机制及其季节动态

EDNA REVEALS PHYTOPLANKTON COMMUNITY ASSEMBLY MECHANISMS AND SEASONAL DYNAMICS IN THE MIDDLE REACHES OF THE YARLUNG ZANGBO RIVER

  • 摘要: 浮游植物是高原河流生态系统的关键组分, 对环境变化响应敏感, 然而, 针对雅鲁藏布江中游浮游植物物种组成及其季节变化规律的研究仍存在明显不足, 特别是在群落构建机制及其对环境因子的响应规律方面, 亟待进一步系统探究。本研究基于环境DNA (eDNA), 系统解析了雅鲁藏布江中游浮游植物群落的多样性、季节动态及其驱动机制。研究共设置了25个样点, 于丰水期与枯水期分别采集水环境样本; 测序结果显示, 共鉴定浮游植物6门, 其中棕色藻门(57.65%)和绿藻门(32.42%)为优势类群。α多样性分析表明, Simpson和Shannon指数季节间无显著差异, 而Chao1指数在枯水期显著高于丰水期(P<0.05), 表明物种丰富度存在季节差异。群落结构季节性差异显著(R=0.214, P<0.001), 地理与环境距离均具有显著衰减效应。中性模型与零模型分析表明, 群落组装以确定性过程为主导, 同质选择为最主要机制。典范对应分析典范对应分析(CCA)进一步揭示, 水温(WT)、海拔(ALT)、电导率(EC)、化学需氧量(COD)和pH是影响群落结构的关键环境因子。本研究系统揭示了雅鲁藏布江中游浮游植物群落的季节演替规律与构建机制, 为高寒河流生态系统保护与气候变化响应提供了科学依据。

     

    Abstract: Phytoplankton, as a key and sensitive component of plateau river ecosystems, remains understudied in the middle reaches of the Yarlung Zangbo River regarding its species composition, seasonal dynamics, and particularly the mechanisms of community assembly and their responses to environmental factors. This study employed environmental DNA (eDNA) to systematically analyze the diversity, seasonal dynamics, and driving mechanisms of phytoplankton community in the middle reaches of the Yarlung Zangbo River. A total of 25sampling sites were established, with water samples collected during both wet and dry seasons. Sequencing results identified six phytoplankton phyla, with Ochrophyta (57.65%) and Chlorophyta (32.42%) being the dominant groups. α-diversity analysis revealed no significant seasonal differences in Simpson and Shannon indices, while the Chao1 index was significantly higher during the dry season than the wet season (P<0.05), indicating seasonal variation in species richness. Significant seasonal variation in community structure was observed (R=0.214, P<0.001), with both geographic and environmental distances exhibiting significant decay effects. Neutral and null models indicated that community assembly was dominated by deterministic processes, with homogenous selection as the primary mechanism. Canonical Correspondence Analysis (CCA) further revealed that water temperature (WT), altitude (ALT),electrical conductivity (EC), chemical oxygen demand (COD) and pH are key environmental factors influencing community structure. This study systematically elucidates the seasonal succession patterns and assembly mechanisms of phytoplankton community in the middle reaches of the Yarlung Zangbo River, providing scientific basis for the conservation of alpine river ecosystems and their response to climate change.

     

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