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Auteurs principaux: Callens, Martijn, Le Berre, Guillaume, Van den Bulcke, Laure, Lolivier, Marianne, Derycke, Sofie
Format: Artículo científico
Langue:en
Publié: Molecular ecology resources 2025
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Accès en ligne:https://pubmed.ncbi.nlm.nih.gov/40401771/
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author Callens, Martijn
Le Berre, Guillaume
Van den Bulcke, Laure
Lolivier, Marianne
Derycke, Sofie
author_facet Callens, Martijn
Le Berre, Guillaume
Van den Bulcke, Laure
Lolivier, Marianne
Derycke, Sofie
Callens, Martijn
Le Berre, Guillaume
Van den Bulcke, Laure
Lolivier, Marianne
Derycke, Sofie
collection PubMed - marine biology
contents An Accessible Metagenomic Strategy Allows for Better Characterisation of Invertebrate Bulk Samples. Callens, Martijn Le Berre, Guillaume Van den Bulcke, Laure Lolivier, Marianne Derycke, Sofie Metagenomics Animals Invertebrates DNA Barcoding, Taxonomic Biodiversity Computational Biology Sequence Analysis, DNA DNA-based techniques are a popular approach for assessing biodiversity in ecological research, especially for organisms which are difficult to detect or identify morphologically. Metabarcoding, the most established method for determining species composition and relative abundance in bulk samples, can be more sensitive and time- and cost-effective than traditional morphological approaches. However, one drawback of this method is PCR bias caused by between-species variation in the amplification efficiency of a marker gene. Metagenomics, bypassing PCR amplification, has been proposed as an alternative to overcome this bias. Several studies have already shown the promising potential of metagenomics, but they all indicate the unavailability of reference genomes for most species in any ecosystem as one of the primary bottlenecks preventing its wider implementation. In this study, we present a strategy that combines unassembled reads of low-coverage whole genome sequencing and publicly available reference genomes to construct a genomic reference database, thus circumventing high sequencing costs and intensive bioinformatic processing. We show that this approach is superior to metabarcoding for approximating relative biomass of macrobenthos species from bulk samples. Furthermore, these results can be obtained with a sequencing effort comparable to metabarcoding. The strategy presented here can thus accelerate the implementation of metagenomics in biodiversity assessments, as it should be relatively easy to adopt by laboratories familiar with metabarcoding and can be used as an accessible alternative.
format Artículo científico
id pubmed_40401771
institution PubMed
language en
publishDate 2025
publisher Molecular ecology resources
record_format pubmed
spellingShingle An Accessible Metagenomic Strategy Allows for Better Characterisation of Invertebrate Bulk Samples.
Callens, Martijn
Le Berre, Guillaume
Van den Bulcke, Laure
Lolivier, Marianne
Derycke, Sofie
Metagenomics
Animals
Invertebrates
DNA Barcoding, Taxonomic
Biodiversity
Computational Biology
Sequence Analysis, DNA
An Accessible Metagenomic Strategy Allows for Better Characterisation of Invertebrate Bulk Samples. Callens, Martijn Le Berre, Guillaume Van den Bulcke, Laure Lolivier, Marianne Derycke, Sofie Metagenomics Animals Invertebrates DNA Barcoding, Taxonomic Biodiversity Computational Biology Sequence Analysis, DNA DNA-based techniques are a popular approach for assessing biodiversity in ecological research, especially for organisms which are difficult to detect or identify morphologically. Metabarcoding, the most established method for determining species composition and relative abundance in bulk samples, can be more sensitive and time- and cost-effective than traditional morphological approaches. However, one drawback of this method is PCR bias caused by between-species variation in the amplification efficiency of a marker gene. Metagenomics, bypassing PCR amplification, has been proposed as an alternative to overcome this bias. Several studies have already shown the promising potential of metagenomics, but they all indicate the unavailability of reference genomes for most species in any ecosystem as one of the primary bottlenecks preventing its wider implementation. In this study, we present a strategy that combines unassembled reads of low-coverage whole genome sequencing and publicly available reference genomes to construct a genomic reference database, thus circumventing high sequencing costs and intensive bioinformatic processing. We show that this approach is superior to metabarcoding for approximating relative biomass of macrobenthos species from bulk samples. Furthermore, these results can be obtained with a sequencing effort comparable to metabarcoding. The strategy presented here can thus accelerate the implementation of metagenomics in biodiversity assessments, as it should be relatively easy to adopt by laboratories familiar with metabarcoding and can be used as an accessible alternative.
title An Accessible Metagenomic Strategy Allows for Better Characterisation of Invertebrate Bulk Samples.
topic Metagenomics
Animals
Invertebrates
DNA Barcoding, Taxonomic
Biodiversity
Computational Biology
Sequence Analysis, DNA
url https://pubmed.ncbi.nlm.nih.gov/40401771/