Spatiotemporal patterns of fish community composition and structure in a subtropical reservoir: comparison of eDNA metabarcoding and gillnetting

IF 2.4 3区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Dong-Hai Wu, Sai Wang, Peng-Fei Xie, Chu-Jun Zou, Hui-Long Ou, Tuan-Tuan Wang, Jia Xie, Yang Zhang, Cong-Cong Jin, Jie Feng, Shen-Hao Wu, Hina Amin, Sharon Indasi Lubembe, Naimat Ullah, Lei Liu
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Abstract

Effective monitoring of fish communities is essential for the ecological management of aquatic ecosystems. However, in complex artificial freshwater habitats, the comparative efficacy of emerging noninvasive tools versus traditional methods remains underexplored. To assess the applicability of noninvasive monitoring tools, we compared environmental DNA (eDNA) metabarcoding with gillnetting for evaluating fish communities in the subtropical Xikeng Reservoir, southern China. A total of 38 fish species from seven orders and ten families were identified, with eDNA metabarcoding detecting more species (34 vs. 22), genera (31 vs. 21), and families (10 vs. 9) than gillnetting. The seasonal difference in fish community structure based on operational taxonomic unit (OTU) abundance (principal component analysis, R = 0.526) was stronger than that based on individual number (R = 0.276) and fresh weight (R = 0.149). Non-metric multidimensional scaling (NMDS) ordinations complemented by permutational multivariate analysis of variance (PERMANOVA) confirmed significant spatial segregation in fish community structures between littoral and limnetic zones across all datasets (P < 0.001; OTU abundance: F = 24.620; individual number: F = 12.216; fresh weight: F = 10.256), with eDNA metabarcoding providing clearer habitat discrimination. eDNA metabarcoding is capable of identifying not only the key environmental factors (e.g., water temperature, dissolved oxygen, chlorophyll-a, total nitrogen, ammonia nitrogen, and biochemical oxygen demand) that affect fish species composition but also of explaining a greater degree of variance based on OTU abundance (46.60%) than those based on individual number (35.96%) and fresh weight (34.67%) obtained by gillnetting. Linear discriminant analysis selected 15, five, and five indicator species by OTU abundance, individual number, and fresh weight, respectively. The additional ten OTU-based indicator species (e.g., Misgurnus anguillicaudatus, Paramisgurnus dabryanus, and Sarotherodon galilaeus) could effectively distinguish the fish community in the littoral zone. Our results demonstrated that eDNA metabarcoding enhanced species detectability, resolved temporal and spatial community distribution characteristics with higher environmental sensitivity, and effectively characterized complex littoral microhabitats by identifying specific indicator species. In the future, integrating eDNA metabarcoding with gillnetting will play a crucial role in the field monitoring of aquatic biodiversity.

Graphical abstract

亚热带水库鱼类群落组成与结构的时空格局:eDNA元条形码与刺网的比较
有效监测鱼类群落对水生生态系统的生态管理至关重要。然而,在复杂的人工淡水生境中,新兴的非侵入性工具与传统方法的比较效果仍未得到充分探索。为了评估无创监测工具的适用性,我们比较了环境DNA (eDNA)元条形码和刺网技术对中国南方亚热带西坑水库鱼类群落的评价。结果表明,eDNA元条形码技术检测到的鱼类种类(34种比22种)、属(31种比21种)和科(10种比9种)比刺网技术多。基于OTU丰度(主成分分析,R = 0.526)的鱼类群落结构的季节差异强于基于个体数(R = 0.276)和鲜重(R = 0.149)的群落结构。非度量多维尺度(NMDS)排序和置换多变量方差分析(PERMANOVA)证实了所有数据集的鱼类群落结构在沿海区和沿海区之间存在显著的空间隔离(P < 0.001; OTU丰度:F = 24.620;个体数:F = 12.216;鲜重:F = 10.256), eDNA元编码提供了更清晰的栖息地区分。eDNA元条形码不仅能够识别影响鱼类物种组成的关键环境因子(如水温、溶解氧、叶绿素-a、总氮、氨氮和生化需氧量),而且能够解释基于OTU丰度(46.60%)的差异程度大于基于刺网获得的个体数(35.96%)和鲜重(34.67%)。线性判别分析根据OTU丰度、个体数和鲜重分别选择15种、5种和5种指示种。另外10种otu指标物种(如Misgurnus anguillicaudatus、parisgurnus dabryanus和Sarotherodon galilaeus)可以有效区分滨海区鱼类群落。研究结果表明,eDNA元条形码技术提高了物种可探测性,以更高的环境敏感性解决了群落时空分布特征,并通过识别特定的指示物种有效地表征了复杂的滨海微生境。未来,eDNA元条形码与刺网技术的结合将在水生生物多样性的野外监测中发挥重要作用。图形抽象
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来源期刊
Aquatic Sciences
Aquatic Sciences 环境科学-海洋与淡水生物学
CiteScore
3.90
自引率
4.20%
发文量
60
审稿时长
1 months
期刊介绍: Aquatic Sciences – Research Across Boundaries publishes original research, overviews, and reviews dealing with aquatic systems (both freshwater and marine systems) and their boundaries, including the impact of human activities on these systems. The coverage ranges from molecular-level mechanistic studies to investigations at the whole ecosystem scale. Aquatic Sciences publishes articles presenting research across disciplinary and environmental boundaries, including studies examining interactions among geological, microbial, biological, chemical, physical, hydrological, and societal processes, as well as studies assessing land-water, air-water, benthic-pelagic, river-ocean, lentic-lotic, and groundwater-surface water interactions.
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