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pmid:31304217

Plant and fungus transcriptomic data from grapevine berries undergoing artificially-induced noble rot caused by Botrytis cinerea.

Arianna Lovato · Sara Zenoni · Giovanni Battista Tornielli · Teresa Colombo · Elodie Vandelle · Annalisa Polverari

Data in brief · 2019 doi:10.1016/j.dib.2019.104150

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Experiment

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Data

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Analysis

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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title
Plant and fungus transcriptomic data from grapevine berries undergoing artificially-induced noble rot caused by Botrytis cinerea.
doi
10.1016/j.dib.2019.104150
pmid
31304217
authors array · 6 items
[0]
Arianna Lovato
[1]
Sara Zenoni
[2]
Giovanni Battista Tornielli
[3]
Teresa Colombo
[4]
Elodie Vandelle
[5]
Annalisa Polverari
journal
Data in brief
year
2019
abstract
Noble rot is a latent infection of grape berries caused by the necrotrophic fungus Botrytis cinerea, which develops under specific climatic conditions. The infected berries undergo biochemical and metabolic changes, associated with a rapid withering, which altogether offer interesting organoleptic features to sweet white wines. In this paper, we provide RNAseq datasets (raw and normalized counts as well as differentially expressed genes lists) of the transcriptome profiles of both grapevine berries (Vitis vinifera cv. Garganega) and B. cinerea during the establishment of noble rot, artificially induced in controlled conditions. The sequencing data are available in the NCBI GEO database under accession number GSE116741. These data were exploited in a comprehensive meta-analysis of gene expression during noble rot infection, gray mold and post-harvest withering. This highlighted an important common transcriptional reprogramming in different botrytized grape berry varieties and led to the identification of key genes specifically modulated during noble rot infection, which are described in the article entitled "Specific molecular interactions between Vitis vinifera and Botrytis cinerea are required for noble rot development in grape berries" Lovato et al., 2019.
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Botrytis cinerea; Vitis vinifera
title
Whole-transcriptome analysis of grapevine-Botrytis cinerea interaction during latent infection of berries
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Statistics on Vitis vinifera and Botrytis cinerea TruSeq sequencing.
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# of sequences in fastq files
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% of High Quality reads [i.e.: passing filtering]
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Botrytis cinerea biol. repl. 1
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51.596.498
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48.464.674
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93,93%
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44.728.327
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48.796.078
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45.945.913
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42.621.946
[6]
92,80%
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57.657.830
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54.115.696
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93,86%
[5]
50.145.232
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92,70%
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B. cinerea-infected berries biol. repl. 1
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47.398.134
[3]
44.179.114
[4]
93,21%
[5]
30.345.824
[6]
68,50%
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[0]
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B. cinerea-infected berries biol. repl. 2
[2]
58.054.526
[3]
54.322.693
[4]
93,57%
[5]
35.755.979
[6]
65,60%
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[0]
6)
[1]
B. cinerea-infected berries biol. repl. 3
[2]
68.936.519
[3]
64.588.098
[4]
93,69%
[5]
45.693.676
[6]
70,50%
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[0]
7)
[1]
Water-injected berries biol. repl. 1
[2]
65.333.494
[3]
60.514.894
[4]
92,62%
[5]
44.998.907
[6]
74,20%
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[0]
8)
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Water-injected berries biol. repl. 2
[2]
65.244.803
[3]
61.257.338
[4]
93,89%
[5]
46.173.353
[6]
75,20%
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Water-injected berries biol. repl. 3
[2]
70.761.848
[3]
65.929.242
[4]
93,17%
[5]
48.576.393
[6]
73,50%
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Automated Assays Laravel application and simulated adapters
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