期刊
MOLECULAR ECOLOGY RESOURCES
卷 23, 期 7, 页码 1641-1655出版社
WILEY
DOI: 10.1111/1755-0998.13839
关键词
12S; artisanal fisheries; citizen science; environmental DNA (eDNA); fish communities; metabarcoding; South-Western Indian Ocean (SWIO)
The coastline of Sub-Saharan Africa has diverse fish communities of great conservation value, but they are threatened by overexploitation and their conservation state is often unknown. This study used citizen science-based eDNA surveys to assess fish communities in Mozambique and found a high average fish species richness. Different sections of the coastline showed variations in threatened and commercially important species, highlighting the need for region-specific management strategies. The study also revealed a trade-off between primer sets for eDNA analysis, with one set detecting more species and the other set performing better in detecting threatened fish species.
The coastline of Sub-Saharan Africa hosts highly diverse fish communities of great conservation value, which are also key resources for local livelihoods. However, many costal ecosystems are threatened by overexploitation and their conservation state is frequently unknown due to their vast spatial extent and limited monitoring budgets. Here, we evaluated the potential of citizen science-based eDNA surveys to alleviate such chronic data deficiencies and assessed fish communities in Mozambique using two 12S metabarcoding primer sets. Samples were either collected by scientific personnel or trained community members and results from the two metabarcoding primers were combined using a new data merging approach. Irrespective of the background of sampling personnel, a high average fish species richness was recorded (38 +/- 20 OTUs per sample). Individual sections of the coastline largely differed in the occurrence of threatened and commercially important species, highlighting the need for regionally differentiated management strategies. A detailed comparison of the two applied primer sets revealed an important trade-off in primer choice with MiFish primers amplifying a higher number of species but Riaz primers performing better in the detection of threatened fish species. This trade-off could be partly resolved by applying our new data-merging approach, which was especially designed to increase the robustness of multiprimer assessments in regions with poor reference libraries. Overall, our study provides encouraging results but also highlights that eDNA-based monitoring will require further improvements of, for example, reference databases and local analytical infrastructure to facilitate routine applications in Sub-Saharan Africa.
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