

FOLLOWUS
1.State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan430072, China
2.University of Chinese Academy of Sciences, Beijing100049, China
3.Dali Monitoring Station of Yunnan Ecology and Environment Bureau, Dali671000, China
longgen@ihb.ac.cn
收稿:2023-07-04,
网络首发:2024-01-16,
纸质出版:2024-09-01
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Comparison of fish communities using environmental DNA metabarcoding and capture methods in a plateau Erhai Lake, China[J]. 海洋湖沼学报(英文), 2024,42(5):1597-1608.
CHEN Hong,HE Wanchao,YANG Fenge,et al.Comparison of fish communities using environmental DNA metabarcoding and capture methods in a plateau Erhai Lake, China[J].Journal of Oceanology and Limnology,2024,42(05):1597-1608.
Comparison of fish communities using environmental DNA metabarcoding and capture methods in a plateau Erhai Lake, China[J]. 海洋湖沼学报(英文), 2024,42(5):1597-1608. DOI: 10.1007/s00343-024-3130-0.
CHEN Hong,HE Wanchao,YANG Fenge,et al.Comparison of fish communities using environmental DNA metabarcoding and capture methods in a plateau Erhai Lake, China[J].Journal of Oceanology and Limnology,2024,42(05):1597-1608. DOI: 10.1007/s00343-024-3130-0.
Environmental DNA (eDNA) has been used as an important tool for fish diversity analysis
which can greatly solve the problems in traditional survey methodology. However
little work has been done on the actual monitoring accuracy of eDNA. In this study
we analyzed the current status of fish resources in Erhai Lake in Yunnan
SW China
by dividing the lake into three sectors according to habitat differences
and compared the results of eDNA and traditional capture methods to investigate the shortcomings of the current analysis of eDNA results. A total of 27 fish species were detected by eDNA and traditional capture methods
including 20 and 19 fish species
respectively
and additional differences in fish composition between the two methods. The alpha diversity showed higher fish abundance and lower fish diversity by eDNA method compared to the traditional capture method
demonstrating that eDNA was not superior for use in fish diversity analysis. Fish community similarity analysis showed that community differences were generally significant for eDNA (
P
<
0.05). RDA analysis indicated that environmental factors did not significant
ly affect fish communities monitored by the eDNA method. However
water temperature
aquatic plants
and water depth had significant (
P
<
0.05) effects on fish communities in the traditional capture method
suggesting that eDNA results are insensitive to the effects of environmental factors. Our results illustrate the effectiveness of eDNA in fish identification and the issues in quantification compared to traditional capture methods. Therefore
combining eDNA with traditional methods is a more effective method for analyzing eDNA metabarcoding
following which the protocols of both quantitative methods can be designed to explore the regularity of eDNA quantification.
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