View: |
Part 1: 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 |
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 |
Label: |
fungal_metabarcoding_grapevine.zip |
Notes: |
application/zip |