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dc.contributor.authorMartins, Filipa M. S.
dc.contributor.authorPorto, Miguel
dc.contributor.authorFeio, Maria J.
dc.contributor.authorEgeter, Bastian
dc.contributor.authorBonin, Aurélie
dc.contributor.authorSerra, Sónia R. Q.
dc.contributor.authorTaberlet, Pierre Robert Michel
dc.contributor.authorBeja, Pedro
dc.date.accessioned2021-03-25T11:42:56Z
dc.date.available2021-03-25T11:42:56Z
dc.date.issued2020-08-28
dc.description.abstractDNA metabarcoding from the ethanol used to store macroinvertebrate bulk samples is a convenient methodological option in molecular biodiversity assessment and biomonitoring of aquatic ecosystems, as it preserves specimens and reduces problems associated with sample sorting. However, this method may be affected by errors and biases, which need to be thoroughly quantified before it can be mainstreamed into biomonitoring programmes. Here, we used 80 unsorted macroinvertebrate samples collected in Portugal under a Water Framework Directive monitoring programme, to compare community diversity and taxonomic composition metrics estimated through morphotaxonomy versus metabarcoding from storage ethanol using three markers (COI‐M19BR2, 16S‐Inse01 and 18S‐Euka02) and a multimarker approach. A preliminary in silico analysis showed that the three markers were adequate for the target taxa, with detection failures related primarily to the lack of adequate barcodes in public databases. Metabarcoding of ethanol samples retrieved far less taxa per site (alpha diversity) than morphotaxonomy, albeit with smaller differences for COI‐M19BR2 and the multimarker approach, while estimates of taxa turnover (beta diversity) among sites were similar across methods. Using generalized linear mixed models, we found that after controlling for differences in read coverage across samples, the probability of detection of a taxon was positively related to its proportional abundance, and negatively so to the presence of heavily sclerotized exoskeleton (e.g., Coleoptera). Overall, using our experimental protocol with different template dilutions, the COI marker showed the best performance, but we recommend the use of a multimarker approach to detect a wider range of taxa in freshwater macroinvertebrate samples. Further methodological development and optimization efforts are needed to reduce biases associated with body armouring and rarity in some macroinvertebrate taxa.en_US
dc.identifier.citationMartins, Porto, Feio, Egeter, Bonin, Serra, Taberlet, Beja. Modelling technical and biological biases in macroinvertebrate community assessment from bulk preservative using multiple metabarcoding markers. Molecular Ecology. 2020en_US
dc.identifier.cristinIDFRIDAID 1900413
dc.identifier.doi10.1111/mec.15620
dc.identifier.issn0962-1083
dc.identifier.issn1365-294X
dc.identifier.urihttps://hdl.handle.net/10037/20732
dc.language.isoengen_US
dc.publisherWileyen_US
dc.relation.journalMolecular Ecology
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020-EU.4.c./668981/Portugal/Capacity Building at InBIO for Research and Innovation Using Environmental Metagenomics/EnvMetaGen/en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2020 The Author(s)en_US
dc.subjectVDP::Mathematics and natural science: 400::Zoology and botany: 480en_US
dc.subjectVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480en_US
dc.titleModelling technical and biological biases in macroinvertebrate community assessment from bulk preservative using multiple metabarcoding markersen_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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