scholarly journals Transient Silence of VvCSN5 Enhances Powdery Mildew Resistance in Grapevine (Vitis Vinifera)

Author(s):  
Kai-Cheng Cui ◽  
Min Liu ◽  
Gui-Hua Ke ◽  
Xing-Yuan Zhang ◽  
Bo Mu ◽  
...  

Abstract As one of the most economically important fruit crops in the world, grapevine (Vitis vinifera) suffers significant yield losses from many pathogens including powdery mildew caused by Erysiphe necator. By contrast, several wild Chinese grapevines including Vitis pseudoreticulata accession ‘Baihe-35-1’ exhibit a high resistance to powdery mildew pathogen. Here, we identified a grapevine gene CSN5 (COP9 signalosome complex subunit 5), designated VvCSN5, which showed different expression patterns in ‘Baihe-35-1’ and in susceptible cultivar V. vinifera ‘Thompson Seedless’ during powdery mildew isolate En NAFU1 infection. Moreover, transient silence of VvCSN5 in ‘Thompson Seedless’ leaves enhanced resistance to En NAFU1, which is accompanied by cell wall deposition at the attempt sites, and hypersensitive response-like cell death of penetrated epidermal cells. Several defense-related marker genes (VvPR1, VvPR3, VvPAD4, and VvRBOHD) had higher basal expression levels in VvCSN5-silenced leaves. In addition, we found the structure and activity of CSN5 promoters in ‘Thompson Seedless’ and ‘Baihe-35-1’ were discrepant, which may be one of the reasons for their different resistance to powdery mildew infection. Taken together, these results imply that grapevine CSN5 plays an important role in the responses to powdery mildew.

2008 ◽  
Vol 35 (12) ◽  
pp. 1255 ◽  
Author(s):  
Angela Feechan ◽  
Angelica M. Jermakow ◽  
Laurent Torregrosa ◽  
Ralph Panstruga ◽  
Ian B. Dry

The European cultivated grapevine, Vitis vinifera L., is a host for the powdery mildew pathogen Erisyphe necator, which is the most economically important fungal disease of viticulture. MLO proteins mediate powdery mildew susceptibility in the model plant species Arabidopsis and the crop plants barley and tomato. Seven VvMLO cDNA sequences were isolated from grapevine and were subsequently identified as part of a 17 member VvMLO gene family within the V. vinifera genome. Phylogenetic analysis of the 17 VvMLO genes in the grape genome indicated that the proteins they encode fall into six distinct clades. The expression of representative VvMLOs from each clade were analysed in a range of grape tissues, as well as in response to a range of biotic and abiotic factors. The VvMLOs investigated have unique, but overlapping tissue expression patterns. Expression analysis of VvMLO genes following E. necator infection identified four upregulated VvMLOs which are orthologous to the Arabidopsis AtMLO2, AtMLO6 and AtMLO12 and tomato SlMLO1 genes required for powdery mildew susceptibility. This suggests a degree of functional redundancy between the proteins encoded by these genes in terms of susceptibility to powdery mildew, and, as such, represent potential targets for modification to generate powdery mildew resistant grapevines.


2015 ◽  
Vol 140 (4) ◽  
pp. 333-338 ◽  
Author(s):  
Xianqin Qiu ◽  
Hongying Jian ◽  
Qigang Wang ◽  
Kaixue Tang ◽  
Manzhu Bao

Rose (Rosa hybrida) is one of the most economically important ornamentals worldwide. Powdery mildew (Podosphaera pannosa) is a major disease in cut and potted roses. In dicots such as arabidopsis (Arabidopsis thaliana), pea (Pisum sativum), and tomato (Solanum lycopersicum), loss-of-function mutations in mildew resistance locus o (Mlo) genes confer high levels of broad-spectrum resistance to powdery mildew. Here, we present spatiotemporal expression patterns of four Mlo genes from R. hybrida based on real-time fluorescence quantitative polymerase chain reaction (qPCR). Phylogenetically closely related R. hybrida mildew resistance locus o (RhMLO) genes showed similar or overlapping tissue specificity and analogous responsiveness to external stimuli. RhMLO1 and RhMLO2 transcriptional levels were upregulated more than 2-fold by external stimuli, especially by inoculation with powdery mildew fungus P. pannosa at early time points. This phenomenon was not found for RhMLO3 or RhMLO4. The results indicated that RhMLO1 and RhMLO2 might play important roles in rose–powdery mildew pathogen interactions. Our findings may provide useful information for the study of mechanisms of powdery mildew susceptibility in rose.


2009 ◽  
Vol 35 (5) ◽  
pp. 786-794
Author(s):  
N PUDAKE Ramesh ◽  
Ming-Ming XIN ◽  
Yu-Jing YIN ◽  
Chao-Jie XIE ◽  
Zhong-Fu NI ◽  
...  

2021 ◽  
Vol 42 (15) ◽  
pp. 5680-5697
Author(s):  
Pâmela A. Pithan ◽  
Jorge R. Ducati ◽  
Lucas R. Garrido ◽  
Diniz C. Arruda ◽  
Adriane B. Thum ◽  
...  

2016 ◽  
Vol 213 (4) ◽  
pp. 1961-1973 ◽  
Author(s):  
Jesús Martínez‐Cruz ◽  
Diego Romero ◽  
Antonio Vicente ◽  
Alejandro Pérez‐García

Author(s):  
Yixuan Qiu ◽  
Jiebiao Wang ◽  
Jing Lei ◽  
Kathryn Roeder

Abstract Motivation Marker genes, defined as genes that are expressed primarily in a single cell type, can be identified from the single cell transcriptome; however, such data are not always available for the many uses of marker genes, such as deconvolution of bulk tissue. Marker genes for a cell type, however, are highly correlated in bulk data, because their expression levels depend primarily on the proportion of that cell type in the samples. Therefore, when many tissue samples are analyzed, it is possible to identify these marker genes from the correlation pattern. Results To capitalize on this pattern, we develop a new algorithm to detect marker genes by combining published information about likely marker genes with bulk transcriptome data in the form of a semi-supervised algorithm. The algorithm then exploits the correlation structure of the bulk data to refine the published marker genes by adding or removing genes from the list. Availability and implementation We implement this method as an R package markerpen, hosted on CRAN (https://CRAN.R-project.org/package=markerpen). Supplementary information Supplementary data are available at Bioinformatics online.


2008 ◽  
Vol 1 (3) ◽  
pp. 151-154 ◽  
Author(s):  
J. Fausto Rivero-Cruz ◽  
Min Zhu ◽  
A. Douglas Kinghorn ◽  
Christine D. Wu

2017 ◽  
Vol 68 (7) ◽  
pp. 1669-1687 ◽  
Author(s):  
Lei Wang ◽  
Xiaoqing Xie ◽  
Wenkong Yao ◽  
Jie Wang ◽  
Fuli Ma ◽  
...  

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