Advancements in DNA Metabarcoding Protocols for Monitoring Zooplankton in Marine and Brackish Environments

Over the past century, numerous studies have proposed various organisms for the biomonitoring of aquatic systems, but only recently has zooplankton emerged as a promising indicator of water quality. The traditional identification methods, however, can be inefficient in the context of monitoring effo...

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Main Authors: Jorge Moutinho, Filipe O. Costa, Sofia Duarte
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Journal of Marine Science and Engineering
Subjects:
Online Access:https://www.mdpi.com/2077-1312/12/11/2093
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author Jorge Moutinho
Filipe O. Costa
Sofia Duarte
author_facet Jorge Moutinho
Filipe O. Costa
Sofia Duarte
author_sort Jorge Moutinho
collection DOAJ
description Over the past century, numerous studies have proposed various organisms for the biomonitoring of aquatic systems, but only recently has zooplankton emerged as a promising indicator of water quality. The traditional identification methods, however, can be inefficient in the context of monitoring efforts, as they are often time consuming and costly. DNA metabarcoding offers a powerful alternative, providing a more efficient and reliable approach to monitor zooplankton communities. In this review, we assess the current state-of-the-art methodologies used to evaluate marine and brackish zooplankton communities through the DNA metabarcoding workflow. While several emerging approaches have been reported, no standardization has been achieved so far. The DNA extraction step has gained the most consensus, with the widespread use of commercial kits (DNeasy Blood & Tissue kit employed in ca. 25% of the studies), though there is still a significant variation in kit selection. Additionally, 18S and COI were the main molecular markers employed (ca. 61% and 54%, respectively) though the target region varied in the former. Moreover, many methodologies, particularly those used for processing zooplankton samples, lack practical validation. Some studies also fail to provide sufficient detail in their methodology descriptions hindering reproducibility. Overall, DNA metabarcoding shows great potential for the efficient monitoring of zooplankton communities, but further effort is needed to establish standardized practices and optimize the current approaches across the entire methodological pipeline.
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spelling doaj-art-980ec590addd4d6aa99ea9498ba90f692024-11-26T18:08:35ZengMDPI AGJournal of Marine Science and Engineering2077-13122024-11-011211209310.3390/jmse12112093Advancements in DNA Metabarcoding Protocols for Monitoring Zooplankton in Marine and Brackish EnvironmentsJorge Moutinho0Filipe O. Costa1Sofia Duarte2Centre of Molecular and Environmental Biology (CBMA) and ARNET—Aquatic Research Network, Department of Biology, University of Minho, Campus Gualtar, 4710-057 Braga, PortugalCentre of Molecular and Environmental Biology (CBMA) and ARNET—Aquatic Research Network, Department of Biology, University of Minho, Campus Gualtar, 4710-057 Braga, PortugalCentre of Molecular and Environmental Biology (CBMA) and ARNET—Aquatic Research Network, Department of Biology, University of Minho, Campus Gualtar, 4710-057 Braga, PortugalOver the past century, numerous studies have proposed various organisms for the biomonitoring of aquatic systems, but only recently has zooplankton emerged as a promising indicator of water quality. The traditional identification methods, however, can be inefficient in the context of monitoring efforts, as they are often time consuming and costly. DNA metabarcoding offers a powerful alternative, providing a more efficient and reliable approach to monitor zooplankton communities. In this review, we assess the current state-of-the-art methodologies used to evaluate marine and brackish zooplankton communities through the DNA metabarcoding workflow. While several emerging approaches have been reported, no standardization has been achieved so far. The DNA extraction step has gained the most consensus, with the widespread use of commercial kits (DNeasy Blood & Tissue kit employed in ca. 25% of the studies), though there is still a significant variation in kit selection. Additionally, 18S and COI were the main molecular markers employed (ca. 61% and 54%, respectively) though the target region varied in the former. Moreover, many methodologies, particularly those used for processing zooplankton samples, lack practical validation. Some studies also fail to provide sufficient detail in their methodology descriptions hindering reproducibility. Overall, DNA metabarcoding shows great potential for the efficient monitoring of zooplankton communities, but further effort is needed to establish standardized practices and optimize the current approaches across the entire methodological pipeline.https://www.mdpi.com/2077-1312/12/11/2093DNA metabarcodingzooplankton communitiesmarinebrackishmonitoringstate-of-the-art methodology
spellingShingle Jorge Moutinho
Filipe O. Costa
Sofia Duarte
Advancements in DNA Metabarcoding Protocols for Monitoring Zooplankton in Marine and Brackish Environments
Journal of Marine Science and Engineering
DNA metabarcoding
zooplankton communities
marine
brackish
monitoring
state-of-the-art methodology
title Advancements in DNA Metabarcoding Protocols for Monitoring Zooplankton in Marine and Brackish Environments
title_full Advancements in DNA Metabarcoding Protocols for Monitoring Zooplankton in Marine and Brackish Environments
title_fullStr Advancements in DNA Metabarcoding Protocols for Monitoring Zooplankton in Marine and Brackish Environments
title_full_unstemmed Advancements in DNA Metabarcoding Protocols for Monitoring Zooplankton in Marine and Brackish Environments
title_short Advancements in DNA Metabarcoding Protocols for Monitoring Zooplankton in Marine and Brackish Environments
title_sort advancements in dna metabarcoding protocols for monitoring zooplankton in marine and brackish environments
topic DNA metabarcoding
zooplankton communities
marine
brackish
monitoring
state-of-the-art methodology
url https://www.mdpi.com/2077-1312/12/11/2093
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