2022
DOI: 10.1111/fwb.13926
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DNA metabarcoding unravels unknown diversity and distribution patterns of tropical freshwater invertebrates

Abstract: Tropical freshwater invertebrate species are becoming extinct without being described, and effective conservation is hampered by a lack of taxonomic and distribution data. DNA metabarcoding is a promising tool for rapid biodiversity assessments that has never been applied to tropical freshwater invertebrates across large spatial and taxonomic scales. Here we use DNA metabarcoding to comprehensively assess the benthic freshwater invertebrate fauna of the Perak River basin, Malaysia. Specific objectives were to… Show more

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Cited by 4 publications
(3 citation statements)
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References 72 publications
(92 reference statements)
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“…One such tool, mBRAVE, the multiplex barcode research and visualization environment, is a data storage and analytics platform with standardized pipelines and a sophisticated web interface designed to transform raw HTS data into biological insights ( ). mBRAVE integrates common analytical methods and links to the BOLD system for access to reference datasets ( Young et al, 2021 ; Zieritz et al, 2022 ) and assignment of sequences to BINs, the features that are unique to this platform only. Results from the 252 sequence libraries were uploaded to mBRAVE ( ) under the project “MBR-MTCHN1” where they were analyzed using a standard pipeline ( Young et al, 2021 ; Zieritz et al, 2022 ) involving sequence trimming (25 bp on each side), quality filtering (minimum QV 25), de-replication, identification, and OTU generation.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…One such tool, mBRAVE, the multiplex barcode research and visualization environment, is a data storage and analytics platform with standardized pipelines and a sophisticated web interface designed to transform raw HTS data into biological insights ( ). mBRAVE integrates common analytical methods and links to the BOLD system for access to reference datasets ( Young et al, 2021 ; Zieritz et al, 2022 ) and assignment of sequences to BINs, the features that are unique to this platform only. Results from the 252 sequence libraries were uploaded to mBRAVE ( ) under the project “MBR-MTCHN1” where they were analyzed using a standard pipeline ( Young et al, 2021 ; Zieritz et al, 2022 ) involving sequence trimming (25 bp on each side), quality filtering (minimum QV 25), de-replication, identification, and OTU generation.…”
Section: Methodsmentioning
confidence: 99%
“…mBRAVE integrates common analytical methods and links to the BOLD system for access to reference datasets ( Young et al, 2021 ; Zieritz et al, 2022 ) and assignment of sequences to BINs, the features that are unique to this platform only. Results from the 252 sequence libraries were uploaded to mBRAVE ( ) under the project “MBR-MTCHN1” where they were analyzed using a standard pipeline ( Young et al, 2021 ; Zieritz et al, 2022 ) involving sequence trimming (25 bp on each side), quality filtering (minimum QV 25), de-replication, identification, and OTU generation. mBRAVE has direct access to the DNA barcode reference libraries on BOLD which allows comparison of the sequence data with the selected libraries and interpretation of the outcome.…”
Section: Methodsmentioning
confidence: 99%
“…Furthermore, bioassessment with eDNA is not affected by the quality of specimen sorting (Ji et al, 2013; Porter & Hajibabaei, 2018; Stein et al, 2014) and yields data that have a desirable, approximately species‐level taxonomic resolution (Sweeney et al, 2011). DNA‐based methods, especially metabarcoding of water eDNA, has shown great promise for biodiversity monitoring (Cordier et al, 2018; Deiner et al, 2021; Fediajevaite et al, 2021; Pawlowski et al, 2018; Porter & Hajibabaei, 2018; Ruppert et al, 2019; Zieritz et al, 2022). Therefore, large consortia are forming to explore the use of eDNA for assessing the biodiversity of freshwater habitats in many countries (e.g., DNAqua‐Net: Bohmann et al, 2021; Leese et al, 2016).…”
Section: Introductionmentioning
confidence: 99%