Assessing riverine fish community diversity and stability by eDNA metabarcoding
Monitoring and evaluating river ecosystems are of paramount importance in addressing ecological and environmental challenges. While eDNA (environmental deoxyribonucleic acid)-based method has emerged as a valuable tool for understanding these issues, its application in assessing phylogenetic diversi...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X2301364X |
| _version_ | 1797422678945038336 |
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| author | Songsong Gu Ye Deng Pengyuan Wang Chenhong Li Dejun Shi Shuping Wang |
| author_facet | Songsong Gu Ye Deng Pengyuan Wang Chenhong Li Dejun Shi Shuping Wang |
| author_sort | Songsong Gu |
| collection | DOAJ |
| description | Monitoring and evaluating river ecosystems are of paramount importance in addressing ecological and environmental challenges. While eDNA (environmental deoxyribonucleic acid)-based method has emerged as a valuable tool for understanding these issues, its application in assessing phylogenetic diversity, community stability, and the identification of key species within river systems has been limited. In this study, we conducted eDNA metabarcoding to assess fish community phylogenetic diversity, species composition, assembly variations, and their relationship with hydrologic characteristics. We also explored ecological stability and the roles of key species in a river system comprising a mainstem (MS) and a tributary (TB) with distinct hydrologic features. Our findings uncovered previously unknown endemic fish species diversity, exemplified by the discovery of Triplophysa. We identified disparities in diversity, community composition, and assembly between the MS and TB. Furthermore, we established significant associations between water-level variations, water flow, and changes in community composition. Triplophysa, with its high diversity, played a pivotal role in the ecological network, contributing significantly to community stability. The loss of Triplophysa increased fragility in co-occurrence patterns. Comparing the ecological network of fish communities between the MS and TB, we found that the MS displayed greater robustness and lower vulnerability, with increased species competition likely promoting network stability. Overall, this study highlights the potential of integrating eDNA metabarcoding data for monitoring phylogenetic diversity, community structure, and variations in stability within fish communities. |
| first_indexed | 2024-03-09T07:36:52Z |
| format | Article |
| id | doaj.art-fd71cb80604a410690918f124956c690 |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-03-09T07:36:52Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-fd71cb80604a410690918f124956c6902023-12-03T05:40:02ZengElsevierEcological Indicators1470-160X2023-12-01157111222Assessing riverine fish community diversity and stability by eDNA metabarcodingSongsong Gu0Ye Deng1Pengyuan Wang2Chenhong Li3Dejun Shi4Shuping Wang5State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, ChinaCAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, ChinaState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, ChinaShanghai Universities Key Laboratory of Marine Animal Taxonomy and Evolution, Shanghai Ocean University, Shanghai 201306, ChinaQinghai Province Grassland Improvement Experimental Station, Gonghe 813000, Qinghai, ChinaState Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; Corresponding author.Monitoring and evaluating river ecosystems are of paramount importance in addressing ecological and environmental challenges. While eDNA (environmental deoxyribonucleic acid)-based method has emerged as a valuable tool for understanding these issues, its application in assessing phylogenetic diversity, community stability, and the identification of key species within river systems has been limited. In this study, we conducted eDNA metabarcoding to assess fish community phylogenetic diversity, species composition, assembly variations, and their relationship with hydrologic characteristics. We also explored ecological stability and the roles of key species in a river system comprising a mainstem (MS) and a tributary (TB) with distinct hydrologic features. Our findings uncovered previously unknown endemic fish species diversity, exemplified by the discovery of Triplophysa. We identified disparities in diversity, community composition, and assembly between the MS and TB. Furthermore, we established significant associations between water-level variations, water flow, and changes in community composition. Triplophysa, with its high diversity, played a pivotal role in the ecological network, contributing significantly to community stability. The loss of Triplophysa increased fragility in co-occurrence patterns. Comparing the ecological network of fish communities between the MS and TB, we found that the MS displayed greater robustness and lower vulnerability, with increased species competition likely promoting network stability. Overall, this study highlights the potential of integrating eDNA metabarcoding data for monitoring phylogenetic diversity, community structure, and variations in stability within fish communities.http://www.sciencedirect.com/science/article/pii/S1470160X2301364XEDNACommunity stabilityPhylogenetic diversityEcological networkKey species |
| spellingShingle | Songsong Gu Ye Deng Pengyuan Wang Chenhong Li Dejun Shi Shuping Wang Assessing riverine fish community diversity and stability by eDNA metabarcoding Ecological Indicators EDNA Community stability Phylogenetic diversity Ecological network Key species |
| title | Assessing riverine fish community diversity and stability by eDNA metabarcoding |
| title_full | Assessing riverine fish community diversity and stability by eDNA metabarcoding |
| title_fullStr | Assessing riverine fish community diversity and stability by eDNA metabarcoding |
| title_full_unstemmed | Assessing riverine fish community diversity and stability by eDNA metabarcoding |
| title_short | Assessing riverine fish community diversity and stability by eDNA metabarcoding |
| title_sort | assessing riverine fish community diversity and stability by edna metabarcoding |
| topic | EDNA Community stability Phylogenetic diversity Ecological network Key species |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X2301364X |
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