摘要: |
浮游动物是水生生态系统的重要组成部分,对环境因子敏感,是水生生态健康状况的重要指示生物。基于传统形态学的浮游动物调查方法无法鉴定桡足类幼体,难以准确了解浮游动物群落组成。DNA宏条形码技术基于DNA序列差异识别物种,为浮游动物群落组成的准确解析提供了新方法。比较了不同浮游动物采样方法(直接过滤法和网富集法)对浮游动物DNA宏条形码多样性监测结果的影响。结果表明,小型浮游动物和大型浮游动物应采取不同的采样方法,其中直接过滤1 L水样对小型浮游动物轮虫的多样性监测效果最好,而用浮游生物网富集5~10 L水样对大型浮游动物(枝角类和桡足类)的多样性监测效果更好。初步实现了浮游动物DNA宏条形码多样性监测的规范化。 |
关键词: DNA宏条形码技术 浮游动物 高通量测序 采样方法 生物监测 |
DOI: |
分类号:X835 |
基金项目:水体污染控制与治理科技重大专项基金资助项目(2018ZX0720801004);国家自然青年基金资助项目(41807482);江苏省自然青年基金资助项目(BK20180331) |
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Study on Methods of Zooplankton Sampling for DNA Metabarcoding Monitoring |
ZHANG Jing-wen,YANG Jiang-hua, ZHANG Xiao-wei1,2
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1. State Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University,Nanjing,Jiangsu 210023, China;2. Jiangsu Environment Protection Key Laboratory of Chemical Safety and Health Risk, Nanjing,Jiangsu 210023, China
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Abstract: |
Zooplankton is an important part of aquatic ecosystem, which is sensitive to environmental factors and indicates the health status of aquatic ecology. Traditional morphological zooplankton survey can not identify copepod nauplius, and it is difficult to accurately understand zooplankton community composition. DNA macrobarcoding provides a new method for the accurate analysis of zooplankton community composition based on DNA sequence differences. In this study, the effects of different sampling methods (water filtration method and net enrichment method) and sampling volume on zooplankton biodiversity monitoring were compared. The results showed that different sizes of zooplankton should adopt different sampling methods, among which direct filtration of 1 L water sample is the best for rotifer diversity, and enrichment of 5~10 L water sample with zooplankton net is more suitable for monitoring cladocerans and copepods. This study initially achieved the standardization of zooplankton metabarcoding monitoring sampling, and also provided technical support for the future aquatic biodiversity monitoring by metabarcoding technology. |
Key words: DNA macrobarcoding technology Zooplankton High throughput sequencing Sampling method Biological monitoring |