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eDNA metabarcoding to monitor fish communities in a large river floodplain

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DataONE2025-09-24 更新2025-10-04 收录
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This dataset contains raw and processed environmental DNA (eDNA) metabarcoding and electrofishing data used to compare fish community composition across the floodplain of Lake St. Pierre, the largest floodplain habitat along the St. Lawrence River (Québec, Canada). The study aimed to evaluate the effectiveness of eDNA metabarcoding relative to traditional electrofishing for biomonitoring fish diversity in a hydrologically dynamic and heterogeneous floodplain system. Sampling was conducted across multiple floodplain sectors encompassing a gradient of land uses, from natural wetlands to annual crop agriculture. The dataset includes: (1) raw Illumina sequence files from eDNA samples, (2) processed read tables generated following stringent bioinformatic filtering and taxonomic assignment, (3) site-level electrofishing catch data including species identity, abundance, and biomass, and (4) associated environmental metadata (e.g., sector, land use classification, geographic coordinates). These..., , # eDNA metabarcoding to monitor fish communities in a large river floodplain Dataset DOI: [10.5061/dryad.3bk3j9kzf](10.5061/dryad.3bk3j9kzf) ## Description of the data and file structure The data were collected as part of an experimental and field-based study comparing fish community composition assessed through environmental DNA (eDNA) metabarcoding and electrofishing surveys across a large river floodplain. Sampling included the collection of water samples for eDNA extraction and sequencing, concurrent electrofishing surveys for comparison, and the recording of environmental variables to evaluate potential drivers of community variation. ### Files and variables #### File: edna_env.csv **Description:** Environmental variables associated with eDNA samples. ##### Variables * station: Sampling sites code names * year: Year of sampling * landuse: Land use at the sampling sites * manag: Land management at the sampling site * region: Sector the sampling sites are located into * Date:...,

本数据集包含用于比较圣劳伦斯河(加拿大魁北克省)最大泛滥平原栖息地——圣皮埃尔湖泛滥平原鱼类群落组成的原始及处理后的环境DNA(environmental DNA, eDNA)元条形码(metabarcoding)与电渔法(electrofishing)数据。本研究旨在评估eDNA元条形码技术相较于传统电渔法,在水文动态且异质性强的泛滥平原系统中开展鱼类多样性生物监测的有效性。采样覆盖多个泛滥平原片区,涵盖从自然湿地到一年生作物农业的土地利用梯度。 本数据集包含:(1) eDNA样本的原始Illumina测序文件;(2) 经严格生物信息学过滤与物种分类赋值后生成的处理后读长表格;(3) 站点级电渔法捕获数据,包含物种鉴定、丰度与生物量;(4) 相关环境元数据(例如片区、土地利用分类、地理坐标)。 # 利用eDNA元条形码监测大型河流泛滥平原鱼类群落 数据集DOI:10.5061/dryad.3bk3j9kzf ## 数据与文件结构说明 本次数据采集自一项基于实验与野外的研究,该研究对比了通过eDNA元条形码与电渔法调查所评估的大型河流泛滥平原鱼类群落组成。采样工作包括:采集用于eDNA提取与测序的水样、同步开展电渔法调查以作对照,以及记录环境变量以解析鱼类群落变异的潜在驱动因素。 ### 文件与变量 #### 文件:edna_env.csv **描述:** 与eDNA样本相关的环境变量。 ##### 变量 * station:采样站点代码名称 * year:采样年份 * landuse:采样点的土地利用类型 * manag:采样点的土地管理方式 * region:采样点所在片区 * Date:……
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2025-09-25
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