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

Academic Article
Publication Date:
2023
abstract:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
zooplankton; metabarcoding
List of contributors:
Manca, MARINA MARCELLA; Borgomaneiro, Giulia; Piscia, Roberta; Fontaneto, Diego; Eckert, ESTER MARIA
Authors of the University:
ECKERT ESTER MARIA
FONTANETO DIEGO
MANCA MARINA MARCELLA
PISCIA ROBERTA
Handle:
https://iris.cnr.it/handle/20.500.14243/412525
Published in:
JOURNAL OF LIMNOLOGY (ONLINE)
Journal
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URL

https://www.jlimnol.it/index.php/jlimnol/article/view/2087
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