Literature DB >> 21801764

Toward an understanding of the molecular basis of quantitative disease resistance in rice.

Yanjun Kou1, Shiping Wang.   

Abstract

Rice crops are severely damaged by diseases caused by bacterial, fungal, and viral pathogens. Application of host resistance to these pathogens is the most economical and environmentally friendly approach to solve this problem. Quantitative resistance conferred by quantitative trait loci (QTL) is a valuable resource for the improvement of rice disease resistance. Although numerous resistance QTL against rice diseases have been identified, these resources have not been used effectively in rice improvement because the genetic control of quantitative resistance is complex and the genes underlying most of the resistance QTL remain unknown. This review focuses on the latest molecular progress in quantitative disease resistance in rice. This knowledge will be helpful for characterizing more resistance QTL and turning the quantitative resistance into actual resources for rice protection.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21801764     DOI: 10.1016/j.jbiotec.2011.07.002

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  16 in total

1.  Comprehensive analysis of VQ motif-containing gene expression in rice defense responses to three pathogens.

Authors:  Na Li; Xianghua Li; Jinghua Xiao; Shiping Wang
Journal:  Plant Cell Rep       Date:  2014-05-29       Impact factor: 4.570

2.  The plant genetic background affects the efficiency of the pepper major nematode resistance genes Me1 and Me3.

Authors:  A Barbary; A Palloix; A Fazari; N Marteu; P Castagnone-Sereno; C Djian-Caporalino
Journal:  Theor Appl Genet       Date:  2013-11-21       Impact factor: 5.699

3.  A CCCH-type zinc finger nucleic acid-binding protein quantitatively confers resistance against rice bacterial blight disease.

Authors:  Hanqing Deng; Hongbo Liu; Xianghua Li; Jinghua Xiao; Shiping Wang
Journal:  Plant Physiol       Date:  2011-12-09       Impact factor: 8.340

4.  Two Different Transcripts of a LAMMER Kinase Gene Play Opposite Roles in Disease Resistance.

Authors:  Liu Duan; Wenfei Xiao; Fan Xia; Hongbo Liu; Jinghua Xiao; Xianghua Li; Shiping Wang
Journal:  Plant Physiol       Date:  2016-09-12       Impact factor: 8.340

5.  Joint linkage QTL analyses for partial resistance to Phytophthora sojae in soybean using six nested inbred populations with heterogeneous conditions.

Authors:  Sungwoo Lee; M A Rouf Mian; Clay H Sneller; Hehe Wang; Anne E Dorrance; Leah K McHale
Journal:  Theor Appl Genet       Date:  2013-11-19       Impact factor: 5.699

6.  High-resolution mapping of genes involved in plant stage-specific partial resistance of barley to leaf rust.

Authors:  F K S Yeo; R Bouchon; R Kuijken; A Loriaux; C Boyd; R E Niks; T C Marcel
Journal:  Mol Breed       Date:  2017-03-16       Impact factor: 2.589

7.  Evaluation of Rice Resistance to Southern Rice Black-Streaked Dwarf Virus and Rice Ragged Stunt Virus through Combined Field Tests, Quantitative Real-Time PCR, and Proteome Analysis.

Authors:  Zhenchao Wang; Lu Yu; Linhong Jin; Wenli Wang; Qi Zhao; Longlu Ran; Xiangyang Li; Zhuo Chen; Rong Guo; Yongtian Wei; Zhongcheng Yang; Enlong Liu; Deyu Hu; Baoan Song
Journal:  Viruses       Date:  2017-02-22       Impact factor: 5.048

8.  Population genomics identifies the origin and signatures of selection of Korean weedy rice.

Authors:  Qiang He; Kyu-Won Kim; Yong-Jin Park
Journal:  Plant Biotechnol J       Date:  2016-09-30       Impact factor: 9.803

9.  Arabidopsis thaliana resistance to fusarium oxysporum 2 implicates tyrosine-sulfated peptide signaling in susceptibility and resistance to root infection.

Authors:  Yunping Shen; Andrew C Diener
Journal:  PLoS Genet       Date:  2013-05-23       Impact factor: 5.917

10.  Molecular breeding for the development of multiple disease resistance in Basmati rice.

Authors:  Atul Singh; Vikas K Singh; S P Singh; R T P Pandian; Ranjith K Ellur; Devinder Singh; Prolay K Bhowmick; S Gopala Krishnan; M Nagarajan; K K Vinod; U D Singh; K V Prabhu; T R Sharma; T Mohapatra; A K Singh
Journal:  AoB Plants       Date:  2012-11-02       Impact factor: 3.276

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