DNA metabarcoding of foliar fungal communities in an untreated vineyard (ICPSR doi:10.15454/A24N4C)

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Document Description

Citation

Title:

DNA metabarcoding of foliar fungal communities in an untreated vineyard

Identification Number:

doi:10.15454/A24N4C

Distributor:

Portail Data INRAE

Date of Distribution:

2020-02-18

Version:

1

Bibliographic Citation:

Vacher, Corinne, 2020, "DNA metabarcoding of foliar fungal communities in an untreated vineyard", https://doi.org/10.15454/A24N4C, Portail Data INRAE, V1

Study Description

Citation

Title:

DNA metabarcoding of foliar fungal communities in an untreated vineyard

Identification Number:

doi:10.15454/A24N4C

Authoring Entity:

Vacher, Corinne (INRA - Institut National de la Recherche Agronomique)

Distributor:

Portail Data INRAE

Access Authority:

Vacher, Corinne

Depositor:

Vacher, Corinne

Date of Deposit:

2020-02-18

Study Scope

Keywords:

Biodiversity and Ecology, Farming Systems and Practices, Microorganisms, Omics, Plant Health and Pathology

Abstract:

This sequence dataset (FASTQ format) was obtained by metabarcoding fungal communities of 20-days old leaves in an untreated vineyard located in INRA Vilenave d'Ornon (France). The ribosomal internal transcribed spacer region 1 (ITS1) was amplified with the ITS1F / ITS2 primer pair and sequenced on an Illumina MiSeq platform (v2 chemistry, 500 cycles). "M" samples were collected from leaves harboring symptoms of powdery mildew (Erysiphe necator), while "S" samples were collected from visually healthy leaves. "ZI" samples correspond to disease spots and "ZS" samples were taken from the healthy leaf blade of infected leaves. The "info_16S" caption is misleading, the sequences are fungal ITS sequences.

Kind of Data:

Dataset

Methodology and Processing

Sources Statement

Data Access

Notes:

<img src="https://www.etalab.gouv.fr/wp-content/uploads/2011/10/licence-ouverte-open-licence.gif" alt="Licence Ouverte" height="100"><a href="https://www.etalab.gouv.fr/licence-ouverte-open-licence">Licence Ouverte / Open Licence Version 2.0</a> compatible CC BY

Other Study Description Materials

Related Publications

Citation

Bibliographic Citation:

Pauvert, C., Fort, T., Calonnec, A., Faivre d' Arcier, J., Chancerel, E., Massot, M., Chiquet, J., Robin, S., Bohan, D., Vallance, J., Vacher, C. Microbial association networks give relevant insights into plant pathobiomes. Submitted

Other Study-Related Materials

Label:

fungal_metabarcoding_grapevine.zip

Notes:

application/zip