Literature DB >> 26856448

Identification of genes differentially expressed during early interactions between the stem rot fungus (Sclerotium rolfsii) and peanut (Arachis hypogaea) cultivars with increasing disease resistance levels.

Ansuya Jogi1, John W Kerry2, Timothy B Brenneman1, James H Leebens-Mack2, Scott E Gold3.   

Abstract

Sclerotium rolfsii, a destructive soil-borne fungal pathogen causes stem rot of the cultivated peanut, Arachis hypogaea. This study aimed to identify differentially expressed genes associated with peanut resistance and fungal virulence. Four peanut cultivars (A100-32, Georgia Green, GA-07W and York) with increasing resistance levels were inoculated with a virulent S. rolfsii strain to study the early plant-pathogen interaction. 454 sequencing was performed on RNAs from infected tissue collected at 4 days post inoculation, generating 225,793 high-quality reads. Normalized read counts and fold changes were calculated and statistical analysis used to identify differentially expressed genes. Several genes identified as differential in the RNA-seq experiment were selected based on functions of interest and real-time PCR employed to corroborate their differential expression. Expanding the analysis to include all four cultivars revealed a small but interesting set of genes showing colinearity between cultivar resistance and expression levels. This study identified a set of genes possibly related to pathogen response that may be useful marker assisted selection or transgenic disease control strategies. Additionally, a set of differentially expressed genes that have not been functionally characterized in peanut or other plants and warrant additional investigation were identified. Published by Elsevier GmbH.

Entities:  

Keywords:  Arachis hypogaea; Differential gene expression; PR proteins; Real-time PCR; Sclerotium rolfsii

Mesh:

Year:  2015        PMID: 26856448     DOI: 10.1016/j.micres.2015.11.003

Source DB:  PubMed          Journal:  Microbiol Res        ISSN: 0944-5013            Impact factor:   5.415


  6 in total

1.  Antimicrobial potential of endophytic fungi from Astragalus chinensis.

Authors:  Peiji Liu; Dekui Zhang; Ruirui Shi; Zhengyou Yang; Fengchun Zhao; Yuan Tian
Journal:  3 Biotech       Date:  2019-10-21       Impact factor: 2.406

Review 2.  The early response during the interaction of fungal phytopathogen and host plant.

Authors:  Yilin Shen; Na Liu; Chuang Li; Xin Wang; Xiaomeng Xu; Wan Chen; Guozhen Xing; Wenming Zheng
Journal:  Open Biol       Date:  2017-05       Impact factor: 6.411

3.  Exploring Combined Effect of Abiotic (Soil Moisture) and Biotic (Sclerotium rolfsii Sacc.) Stress on Collar Rot Development in Chickpea.

Authors:  Avijit Tarafdar; T Swaroopa Rani; U S Sharath Chandran; Raju Ghosh; Devashish R Chobe; Mamta Sharma
Journal:  Front Plant Sci       Date:  2018-08-15       Impact factor: 5.753

4.  Characterisation and antifungal activity of extracellular chitinase from a biocontrol fungus, Trichoderma asperellum PQ34.

Authors:  Nguyen Hoang Loc; Nguyen Duc Huy; Hoang Tan Quang; Tran Thuy Lan; Tran Thi Thu Ha
Journal:  Mycology       Date:  2019-12-14

5.  Comparative RNA-Seq analysis unfolds a complex regulatory network imparting yellow mosaic disease resistance in mungbean [Vigna radiata (L.) R. Wilczek].

Authors:  Uttarayan Dasgupta; Gyan Prakash Mishra; Harsh K Dikshit; Dwijesh C Mishra; Tejas Bosamia; Anirban Roy; Jyotika Bhati; Muraleedhar Aski; Ranjeet R Kumar; Amit Kumar Singh; Atul Kumar; Subodh K Sinha; Shiksha Chaurasia; Shelly Praveen; Ramakrishnan M Nair
Journal:  PLoS One       Date:  2021-01-12       Impact factor: 3.240

6.  Mapping quantitative trait loci (QTLs) and estimating the epistasis controlling stem rot resistance in cultivated peanut (Arachis hypogaea).

Authors:  Ziliang Luo; Renjie Cui; Carolina Chavarro; Yu-Chien Tseng; Hai Zhou; Ze Peng; Ye Chu; Xiping Yang; Yolanda Lopez; Barry Tillman; Nicholas Dufault; Timothy Brenneman; Thomas G Isleib; Corley Holbrook; Peggy Ozias-Akins; Jianping Wang
Journal:  Theor Appl Genet       Date:  2020-01-23       Impact factor: 5.699

  6 in total

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