Microbial networks inferred from environmental DNA data for biomonitoring ecosystem change: strengths and pitfalls
| hal.structure.identifier | Agroécologie [Dijon] | |
| dc.contributor.author | BARROSO‐BERGADA, Didac | |
| hal.structure.identifier | Biodiversité, Gènes & Communautés [BioGeCo] | |
| dc.contributor.author | PAUVERT, Charlie | |
| hal.structure.identifier | Santé et agroécologie du vignoble [UMR SAVE] | |
| dc.contributor.author | VALLANCE, Jessica
ORCID: 0000-0002-5581-4453 IDREF: 143291556 | |
| hal.structure.identifier | Santé et agroécologie du vignoble [UMR SAVE] | |
| dc.contributor.author | DELIERE, Laurent | |
| hal.structure.identifier | Agroécologie [Dijon] | |
| dc.contributor.author | BOHAN, David | |
| hal.structure.identifier | Interactions Arbres-Microorganismes [IAM] | |
| dc.contributor.author | BUÉE, Marc | |
| hal.structure.identifier | Biodiversité, Gènes & Communautés [BioGeCo] | |
| dc.contributor.author | VACHER, C. | |
| dc.date | 2020 | |
| dc.date.issued | 2020 | |
| dc.identifier.issn | 1755-098X | |
| dc.description.abstractEn | Environmental DNA contains information on the species interaction networks that support ecosystem functions and services. Next‐Generation Biomonitoring proposes the use of this data to reconstruct ecological networks in real‐time and then compute network‐level properties to assess ecosystem change. We investigated the relevance of this proposal by assessing: (1) the replicability of DNA‐based networks in the absence of ecosystem change; and, (2) the benefits and shortcomings of community‐ and network‐level properties for monitoring change. We selected crop‐associated microbial networks as a case study since they support disease regulation services in agroecosystems and analyzed their response to change in agricultural practice between organic and conventional systems. Using two statistical methods of network inference, we showed that network‐level properties, especially β‐properties, could detect change. Moreover, consensus networks revealed robust signals of interactions between the most abundant species, that differed between agricultural systems. These findings complemented those obtained with community‐level data, that showed, in particular, a greater microbial diversity in the organic system. The limitations of network‐level data included (i) the very high variability of network replicates within each system; (ii) the low number of network replicates per system, due to the large number of samples needed to build each network; and, (iii) the difficulty in interpreting links of inferred networks. Tools and frameworks developed over the last decade to infer and compare microbial networks are therefore relevant to biomonitoring, provided that the DNA metabarcoding datasets are large enough to build many network replicates and progress is made to increase network replicability and interpretation. | |
| dc.description.sponsorship | Biosurveillance Next-Gen des changements dans la structure et le fonctionnement des écosystèmes - ANR-17-CE32-0011 | |
| dc.description.sponsorship | Initiative d'excellence de l'Université de Bordeaux | |
| dc.description.sponsorship | CEnter of the study of Biodiversity in Amazonia - ANR-10-LABX-0025 | |
| dc.language.iso | en | |
| dc.publisher | Wiley/Blackwell | |
| dc.subject | Ecologie des communautés | |
| dc.subject.en | Environmental DNA | |
| dc.subject.en | Metabarcoding | |
| dc.subject.en | Community ecology | |
| dc.subject.en | Ecosystem services | |
| dc.subject.en | Microbial networks | |
| dc.subject.en | Network inference | |
| dc.subject.en | Network comparison | |
| dc.title.en | Microbial networks inferred from environmental DNA data for biomonitoring ecosystem change: strengths and pitfalls | |
| dc.title.en | Microbial networks for biomonitoring | |
| dc.type | Article de revue | |
| dc.identifier.doi | 10.1111/1755-0998.13302 | |
| dc.subject.hal | Sciences de l'environnement/Biodiversité et Ecologie | |
| bordeaux.journal | Molecular Ecology Resources | |
| bordeaux.institution | Bordeaux Sciences Agro | |
| bordeaux.institution | INRAE | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-03049733 | |
| hal.version | 1 | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-03049733v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Molecular%20Ecology%20Resources&rft.date=2020&rft.eissn=1755-098X&rft.issn=1755-098X&rft.au=BARROSO%E2%80%90BERGADA,%20Didac&PAUVERT,%20Charlie&VALLANCE,%20Jessica&DELIERE,%20Laurent&BOHAN,%20David&rft.genre=article |
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