Discovering the bacteriome of Vitis vinifera cv. Pinot Noir in a conventionally managed vineyard.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
15 04 2020
Historique:
received: 15 01 2020
accepted: 16 03 2020
entrez: 17 4 2020
pubmed: 17 4 2020
medline: 15 12 2020
Statut: epublish

Résumé

The structure of the bacteriome associated with grapevine roots can affect plant development, health and grape quality. We previously investigated the bacterial biodiversity of the Vitis vinifera cv. Pinot Noir rhizosphere in a vineyard subjected to integrated pest management. The aim of this work is to characterize the bacteriome of V. vinifera cv. Pinot Noir in a conventionally managed vineyard using a metabarcoding approach. Comparisons between the microbial community structure in bulk soil and rhizosphere (variable space) were performed and shifts of bacteriome according to two sampling times (variable time) were characterized. Bacterial biodiversity was higher at the second than at the first sampling and did not differ according to the variable space. Actinobacteria was the dominant class, with Gaiella as the most represented genus in all the samples. Among Proteobacteria, the most represented classes were Alpha, Beta and Gamma-Proteobacteria, with higher abundance at the second than at the first sampling time. Bradyrhizobium was the most frequent genus among Alpha-Proteobacteria, while Burkholderia was the predominant Beta-Proteobacteria. Among Firmicutes, the frequency of Staphylococcus was higher than 60% in bulk soil and rhizosphere. Finally, the sampling time can be considered as one of the drivers responsible for the bacteriome variations assessed.

Identifiants

pubmed: 32296119
doi: 10.1038/s41598-020-63154-w
pii: 10.1038/s41598-020-63154-w
pmc: PMC7160115
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

6453

Commentaires et corrections

Type : ErratumIn

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Auteurs

Elisa Gamalero (E)

Università del Piemonte Orientale, Dipartimento di Scienze e Innovazione Tecnologica, Viale T. Michel 11, Alessandria, 15121, Italy.

Elisa Bona (E)

Università del Piemonte Orientale, Dipartimento di Scienze e Innovazione Tecnologica, Piazza San Eusebio 5, 13100, Vercelli, Italy.

Giorgia Novello (G)

Università del Piemonte Orientale, Dipartimento di Scienze e Innovazione Tecnologica, Viale T. Michel 11, Alessandria, 15121, Italy.

Lara Boatti (L)

SmartSeq s.r.l., spin-off of the Università del Piemonte Orientale, Viale T. Michel 11, Alessandria, 15121, Italy.

Flavio Mignone (F)

Università del Piemonte Orientale, Dipartimento di Scienze e Innovazione Tecnologica, Viale T. Michel 11, Alessandria, 15121, Italy.
SmartSeq s.r.l., spin-off of the Università del Piemonte Orientale, Viale T. Michel 11, Alessandria, 15121, Italy.

Nadia Massa (N)

Università del Piemonte Orientale, Dipartimento di Scienze e Innovazione Tecnologica, Viale T. Michel 11, Alessandria, 15121, Italy.

Patrizia Cesaro (P)

Università del Piemonte Orientale, Dipartimento di Scienze e Innovazione Tecnologica, Viale T. Michel 11, Alessandria, 15121, Italy. patrizia.cesaro@uniupo.it.

Graziella Berta (G)

Università del Piemonte Orientale, Dipartimento di Scienze e Innovazione Tecnologica, Viale T. Michel 11, Alessandria, 15121, Italy.

Guido Lingua (G)

Università del Piemonte Orientale, Dipartimento di Scienze e Innovazione Tecnologica, Viale T. Michel 11, Alessandria, 15121, Italy.

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Classifications MeSH