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Assessing the Cultivability of Bacteria and Fungi from Arable Crop Residues Using Metabarcoding Data as a Reference

Authors :
Coralie Marais
Marie-Hélène Balesdent
Lydie Kerdraon
Matthieu Barret
Marion Fischer-Le Saux
Anne-Lise Liabot
Frédéric Suffert
Valérie Laval
Benjamin Boudier
BIOlogie et GEstion des Risques en agriculture (BIOGER)
Université Paris-Saclay-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
Institut de Recherche en Horticulture et Semences (IRHS)
Université d'Angers (UA)-AGROCAMPUS OUEST
Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)
ANR-17-EURE-0007,SPS-GSR,Ecole Universitaire de Recherche de Sciences des Plantes de Paris-Saclay(2017)
ANR-10-INBS-0009,France-Génomique,Organisation et montée en puissance d'une Infrastructure Nationale de Génomique(2010)
Source :
Diversity, Vol 13, Iss 404, p 404 (2021), Diversity, Diversity, MDPI, 2021, 13 (9), pp.404. ⟨10.3390/d13090404⟩, Volume 13, Issue 9
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

International audience; This study combined culture-dependent (strain isolation plus molecular identification) and culture-independent (metabarcoding) approaches to characterize the diversity of microbiota on wheat and oilseed rape residues. The goal was to develop a methodology to culture microorganisms with the aim of being able to establish synthetic crop residue microbial communities for further study, i.e., testing potential interactions within these communities and characterizing groups of beneficial taxa that could be used as biological control agents against plant pathogens. We generated community-based culture collections. We adapted the isolation strategy to the potential differences in the spatial and temporal distribution of diversity between bacteria and fungi. We performed (i) a high-throughput isolation from few samples with no a priori for bacteria and (ii) a low-throughput isolation from several samples with a priori—i.e., morphotype selection—for fungi. Although isolation using a single medium did not allow us to characterize the microbiome as precisely as metabarcoding, the bacterial diversity (158 ASVs, 36 genera) was relatively higher than the fungal diversity (131 ASVs, 17 genera) known to be limited by competition for growth on non-selective solid media. Isolation and metabarcoding provided consistent and complementary information: they revealed several common but also specific ASVs, leading to close microbial community profiles of the most abundant fungal and bacterial taxa in residues. Finally, by empirically comparing the different profiles, we assessed the cultivability of the most abundant fungal and bacterial taxa obtained in metabarcoding.

Details

Language :
English
ISSN :
14242818
Volume :
13
Issue :
404
Database :
OpenAIRE
Journal :
Diversity
Accession number :
edsair.doi.dedup.....c0dfddc889389ed14494c8f49cda8ce8
Full Text :
https://doi.org/10.3390/d13090404⟩