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DNA metabarcoding unravels unknown diversity and distribution patterns of tropical freshwater invertebrates

Zieritz, Alexandra; Lee, Ping Shin; Han, Wilhelm Eng Wei; Lim, Shu Yong; Sing, Kong Wah; Chan, Wei Ning; Loo, Jey Sern; Mahadzir, Farah Najwa; Ng, Ting Hui; Yeo, Darren C.J.; Gan, Lydia Xinjie; Gan, Jing Ye; Gibbins, Christopher; Zoqratt, Muhammad Zarul Hanifah Md; Wilson, John James

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Authors

Ping Shin Lee

Wilhelm Eng Wei Han

Shu Yong Lim

Kong Wah Sing

Wei Ning Chan

Jey Sern Loo

Farah Najwa Mahadzir

Ting Hui Ng

Darren C.J. Yeo

Lydia Xinjie Gan

Jing Ye Gan

Christopher Gibbins

Muhammad Zarul Hanifah Md Zoqratt

John James Wilson



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: (1) assess performance of two DNA metabarcoding protocols; (2) identify gaps in reference databases; (3) generate new data on species diversity and distribution; and (4) draw conclusions regarding the potential value of DNA metabarcoding in tropical freshwater conservation. Organisms were collected by hand and net at 34 sites and divided into small (retained in 0.5-mm but passing through 1-mm mesh) and large (retained in 1-mm mesh) fractions, and a 313-bp cytochrome c oxidase subunit I fragment amplified and sequenced using general Metazoa primers. Bioinformatic analysis resulted in 468 operational taxonomic units (~species) from 12 phyla. Only 29% of species could be assigned binominal names through matches to public sequence libraries, indicating varying levels of library completeness across Orders. Extraction of small-fraction DNA with a soil kit resulted in a significantly higher species count than with a general kit, but this was not even across taxa. Metabarcoding (amplification) success rate, estimated via comparison to morphological identifications of the large-fraction specimens, was high in most taxa analysed but low, for example, in ampullariid and viviparid gastropods. Conversely, a large proportion of species-site records for Decapoda and Bivalvia came from metabarcoding only. Species richness averaged 29 ± 16 species per site, dominated by Diptera, Annelida, and Odonata, and was particularly high in tributaries of the mountainous Titiwangsa Range. At least eight species are new records for Malaysia, including the non-natives Ferrissia fragilis (Gastropoda) and Dugesia notogaea (Platyhelminthes). Our study showed that DNA metabarcoding is generally more effective in detecting tropical freshwater invertebrate species than traditional morphological approaches, and can efficiently improve knowledge of distribution patterns and ranges of native and non-native species. However, current gaps in reference databases, particularly for bioindicator taxa, such as the Plecoptera, Ephemeroptera, and Coleoptera, need to be addressed urgently.

Citation

Zieritz, A., Lee, P. S., Han, W. E. W., Lim, S. Y., Sing, K. W., Chan, W. N., …Wilson, J. J. (2022). DNA metabarcoding unravels unknown diversity and distribution patterns of tropical freshwater invertebrates. Freshwater Biology, 67(8), 1411-1427. https://doi.org/10.1111/fwb.13926

Journal Article Type Article
Acceptance Date Apr 26, 2022
Online Publication Date Jun 11, 2022
Publication Date 2022-08
Deposit Date Jun 30, 2022
Publicly Available Date Jul 1, 2022
Journal Freshwater Biology
Print ISSN 0046-5070
Electronic ISSN 1365-2427
Publisher Wiley
Peer Reviewed Peer Reviewed
Volume 67
Issue 8
Pages 1411-1427
DOI https://doi.org/10.1111/fwb.13926
Keywords Aquatic Science
Public URL https://nottingham-repository.worktribe.com/output/8131577
Publisher URL https://onlinelibrary.wiley.com/doi/10.1111/fwb.13926
Additional Information Received: 2021-07-19; Accepted: 2022-04-26; Published: 2022-06-11

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