Metabarcoding to monitor the crustacean zooplankton of a lake improves when using a reference DNA library from local samples

Biodiversity surveys through morphology provide invaluable data to inform biological monitoring efforts, involving specialised taxonomic skills that are not always available. The revolution brought by the advent of metabarcoding associated to massive sequencing is currently seen as a potential adva...

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Main Authors: Giuseppe Garlasché, Giulia Borgomaneiro, Roberta Piscia, Marina Manca, Ester M. Eckert, Diego Fontaneto
Format: Article
Language:English
Published: PAGEPress Publications 2023-02-01
Series:Journal of Limnology
Subjects:
Online Access:https://www.jlimnol.it/index.php/jlimnol/article/view/2087
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author Giuseppe Garlasché
Giulia Borgomaneiro
Roberta Piscia
Marina Manca
Ester M. Eckert
Diego Fontaneto
author_facet Giuseppe Garlasché
Giulia Borgomaneiro
Roberta Piscia
Marina Manca
Ester M. Eckert
Diego Fontaneto
author_sort Giuseppe Garlasché
collection DOAJ
description Biodiversity surveys through morphology provide invaluable data to inform biological monitoring efforts, involving specialised taxonomic skills that are not always available. The revolution brought by the advent of metabarcoding associated to massive sequencing is currently seen as a potential advance, even if different approaches may often provide different results. Here we test if reliable results from metabarcoding can be obtained by i) basing the analyses on a detailed knowledge of the local diversity from morphology, ii) applying tools from DNA taxonomy to create a local reference library, ii) developing custom primers, taking as example the crustacean zooplankton of a subalpine lake in Northern Italy, Lake Maggiore. We support the idea that occurrences from metabarcoding can be reliable, especially with targeted primers, but we confirm that read numbers from massive sequencing could not be related to abundance of individuals in our analyses. Data from metabarcoding can thus be used to reliably monitor species occurrence in the lake, but not changes in abundance.
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spelling doaj.art-b85cb49248b1498399d4382efd481af52023-02-08T18:31:20ZengPAGEPress PublicationsJournal of Limnology1129-57671723-86332023-02-0182110.4081/jlimnol.2023.2087Metabarcoding to monitor the crustacean zooplankton of a lake improves when using a reference DNA library from local samplesGiuseppe Garlasché0Giulia Borgomaneiro1Roberta Piscia2Marina Manca3Ester M. Eckert4Diego Fontaneto5National Research Council, Water Research Institute (CNR-IRSA), Verbania PallanzaNational Research Council, Water Research Institute (CNR-IRSA), Verbania PallanzaNational Research Council, Water Research Institute (CNR-IRSA), Verbania PallanzaNational Research Council, Water Research Institute (CNR-IRSA), Verbania PallanzaNational Research Council, Water Research Institute (CNR-IRSA), Verbania PallanzaNational Research Council, Water Research Institute (CNR-IRSA), Verbania Pallanza Biodiversity surveys through morphology provide invaluable data to inform biological monitoring efforts, involving specialised taxonomic skills that are not always available. The revolution brought by the advent of metabarcoding associated to massive sequencing is currently seen as a potential advance, even if different approaches may often provide different results. Here we test if reliable results from metabarcoding can be obtained by i) basing the analyses on a detailed knowledge of the local diversity from morphology, ii) applying tools from DNA taxonomy to create a local reference library, ii) developing custom primers, taking as example the crustacean zooplankton of a subalpine lake in Northern Italy, Lake Maggiore. We support the idea that occurrences from metabarcoding can be reliable, especially with targeted primers, but we confirm that read numbers from massive sequencing could not be related to abundance of individuals in our analyses. Data from metabarcoding can thus be used to reliably monitor species occurrence in the lake, but not changes in abundance. https://www.jlimnol.it/index.php/jlimnol/article/view/2087CladoceraCopepodaDNA taxonomyLake Maggioremetabarcodingzooplankton
spellingShingle Giuseppe Garlasché
Giulia Borgomaneiro
Roberta Piscia
Marina Manca
Ester M. Eckert
Diego Fontaneto
Metabarcoding to monitor the crustacean zooplankton of a lake improves when using a reference DNA library from local samples
Journal of Limnology
Cladocera
Copepoda
DNA taxonomy
Lake Maggiore
metabarcoding
zooplankton
title Metabarcoding to monitor the crustacean zooplankton of a lake improves when using a reference DNA library from local samples
title_full Metabarcoding to monitor the crustacean zooplankton of a lake improves when using a reference DNA library from local samples
title_fullStr Metabarcoding to monitor the crustacean zooplankton of a lake improves when using a reference DNA library from local samples
title_full_unstemmed Metabarcoding to monitor the crustacean zooplankton of a lake improves when using a reference DNA library from local samples
title_short Metabarcoding to monitor the crustacean zooplankton of a lake improves when using a reference DNA library from local samples
title_sort metabarcoding to monitor the crustacean zooplankton of a lake improves when using a reference dna library from local samples
topic Cladocera
Copepoda
DNA taxonomy
Lake Maggiore
metabarcoding
zooplankton
url https://www.jlimnol.it/index.php/jlimnol/article/view/2087
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