Back

Uncovering the molecular signatures of russet skin formation in Niagara grapevine (Vitis vinifera x Vitis labrusca)

Niederauer, G. F.; de Oliveira, G. L.; Aono, A. H.; Graciano, D. d. S. G.; Guerreiro, S. M. C.; Moura, M. F.; de Souza, A. P.

2023-08-27 bioinformatics
10.1101/2023.08.25.554330 bioRxiv
Show abstract

Grape breeding programs are mostly focused on developing new varieties with high production volume, sugar contents, and phenolic compound diversity combined with resistance and tolerance to the main pathogens under culture and adverse environmental conditions. The Niagara variety (Vitis labrusca x Vitis vinifera) is one of the most widely produced and commercialized table grapes in Brazil. In this work, we selected three Niagara somatic variants with contrasting berry phenotypes and performed morphological and transcriptomic analyses of their berries. Histological sections of the berries were also performed to understand anatomical and chemical composition differences of the berry skin between the genotypes. An RNA-Seq pipeline was implemented, followed by global coexpression network modeling. Niagara Steck, an intensified russet mutant with the most extreme phenotype, showed the largest difference in expression and showed selection of coexpressed network modules involved in the development of its russet-like characteristics. Enrichment analysis of differently expressed genes and hub network modules revealed differences in transcription regulation, auxin signaling and cell wall and plasmatic membrane biogenesis. Cutin- and suberin-related genes were also differently expressed, supporting the anatomical differences observed with microscopy.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

1
Horticulture Research
43 papers in training set
Top 0.1%
41.7%
2
BMC Plant Biology
47 papers in training set
Top 0.1%
10.6%
50% of probability mass above
3
Frontiers in Plant Science
240 papers in training set
Top 1%
6.7%
4
Scientific Reports
3102 papers in training set
Top 15%
6.6%
5
PLOS ONE
4510 papers in training set
Top 30%
5.1%
6
International Journal of Molecular Sciences
453 papers in training set
Top 2%
3.8%
7
Plants
39 papers in training set
Top 0.8%
2.2%
8
Food Chemistry
12 papers in training set
Top 0.2%
1.6%
9
Science of The Total Environment
179 papers in training set
Top 4%
1.3%
10
Plant Physiology
217 papers in training set
Top 2%
1.3%
11
BMC Genomics
328 papers in training set
Top 4%
1.0%
12
New Phytologist
309 papers in training set
Top 4%
0.9%
13
Scientific Data
174 papers in training set
Top 2%
0.8%
14
Physiologia Plantarum
35 papers in training set
Top 0.4%
0.8%
15
Journal of Experimental Botany
195 papers in training set
Top 3%
0.8%
16
Food Research International
11 papers in training set
Top 0.3%
0.8%
17
G3 Genes|Genomes|Genetics
351 papers in training set
Top 3%
0.7%
18
Plant Reproduction
12 papers in training set
Top 0.2%
0.7%
19
Frontiers in Genetics
197 papers in training set
Top 11%
0.7%
20
Agronomy
18 papers in training set
Top 0.9%
0.7%
21
Phytopathology®
28 papers in training set
Top 0.7%
0.7%
22
PeerJ
261 papers in training set
Top 18%
0.5%
23
Advanced Science
249 papers in training set
Top 22%
0.5%
24
International Journal of Biological Macromolecules
65 papers in training set
Top 4%
0.5%
25
Computational and Structural Biotechnology Journal
216 papers in training set
Top 11%
0.5%