4.6 Article

Analysis of genes that are differentially expressed during the Sclerotinia sclerotiorum-Phaseolus vulgaris interaction

期刊

FRONTIERS IN MICROBIOLOGY
卷 6, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fmicb.2015.01162

关键词

necrotrophic fungi; common bean; gene expression; ScIerotinia sclerotiorum; suppression subtractive hybridization; stress-induced transcripts

资金

  1. Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNN)
  2. Coordenacao de Aperfeicoa mento de Pessoal de Nivel Superior (CAPES)
  3. Fundacao de Amparo a Pesquisa do Estado de Goias (FAPEG)
  4. CNPq [56.4675/2010-5]

向作者/读者索取更多资源

The fungus Sclerotinia sclerotiorum (Lib.) de Bary, one of the most important plant pathogens, causes white mold on a wide range of crops. Crop yield can be dramatically decreased due to this disease, depending on the plant cultivar and environmental conditions. In this study, a suppression subtractive hybridization cDNA library approach was used for the identification of pathogen and plant genes that were differentially expressed during infection of the susceptible cultivar BRS Perola of Phaseolus vulgaris L. A total of 979 unigenes (430 contigs and 549 singletons) were obtained and classified according to their functional categories. The transcriptional profile of 11 fungal genes related to pathogenicity and virulence were evaluated by reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR). Additionally, the temporal expression profile obtained by RT-qPCR was evaluated for the following categories of plant defense-related genes: pathogenesis related genes (PvPR1, PvPR2, and PvPR3), phenylpropanoid pathway genes (Pvlsof, PvFPS1, and 4CL), and genes involved in defense and stress-related categories (PvLox, PvHiprp, PvGST, PvPod, and PvDox). Data obtained in this study provide a starting point for achieving a better understanding of the pathosystem S. sclerotiorum-P. vulgaris.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据