Physiological traits and relative abundance of species as explanatory variables of co-occurrence pattern of cultivable bacteria associated with chia seeds.

communautés microbiennes microbial communities microbial ecology microbiome écologie microbienne

Journal

Canadian journal of microbiology
ISSN: 1480-3275
Titre abrégé: Can J Microbiol
Pays: Canada
ID NLM: 0372707

Informations de publication

Date de publication:
Sep 2019
Historique:
pubmed: 4 6 2019
medline: 12 11 2019
entrez: 4 6 2019
Statut: ppublish

Résumé

Deciphering the rules defining microbial community assemblage is envisioned as a promising strategy to improve predictions of pathogens colonization and proliferation in food. Despite the increasing number of studies reporting microbial co-occurrence patterns, only a few attempts have been made to challenge them in experimental or theoretical frameworks. Here, we tested the hypothesis that observed variations in co-occurrence patterns can be explained by taxonomy, relative abundance, and physiological traits of microbial species. We used PCR amplicon sequencing of taxonomic markers to assess distribution and co-occurrence patterns of bacterial and fungal species found in 25 chia (

Identifiants

pubmed: 31158321
doi: 10.1139/cjm-2019-0052
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

668-680

Auteurs

Asma Jaba (A)

Institut National de la Recherche Scientifique-Institut Armand-Frappier, 531 boulevard des Prairies, Laval, QC H7V 1B7, Canada.

Fadi Dagher (F)

Agri-Neo Inc., 435 Horner Avenue, Unit 1, Toronto, ON M8W 4W3, Canada.

Amir Mehdi Hamidi Oskouei (AM)

Agri-Neo Inc., 435 Horner Avenue, Unit 1, Toronto, ON M8W 4W3, Canada.

Claude Guertin (C)

Institut National de la Recherche Scientifique-Institut Armand-Frappier, 531 boulevard des Prairies, Laval, QC H7V 1B7, Canada.

Philippe Constant (P)

Institut National de la Recherche Scientifique-Institut Armand-Frappier, 531 boulevard des Prairies, Laval, QC H7V 1B7, Canada.

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Classifications MeSH