Literature DB >> 16011032

[Identification and marker-assisted selection of two major quantitative genes controlling rice sheath blight resistance in backcross generations].

Cai-Xia Tan1, Xue-Mei Ji, Yong Yang, Xing-Yuan Pan, Shi-Min Zuo, Ya-Fang Zhang, Jun-Huang Zou, Zong-Xiang Chen, Li-Huang Zhu, Xue-Biao Pan.   

Abstract

We constructed an F2 clonal population of intercross,Teqing/Lemont, and identified two quantitative trait loci (QTLs) contributing to rice sheath blight resistance on chromosome 9 and 11. The two QTLs were qSB-9 and qSB-11, respectively. From the population, three clonal lines were selected by markers' band types on both sides of these two QTLs, qSB-9 and qSB-11. Two were double-susceptible parent with homozygous susceptible alleles of these two loci,and the other was named as double-resistant parent,of which these two loci were all homozygous resistant alleles. These parents were separately backcrossed to recurrent parents, Teqing or Lemont. From BC2F1, marker-assisted selection was conducted in each proceeding generation and all back-crossed plants in BC2F1 and BC4F1 were inoculated by short toothpicks incubated with a strain, RH-9 of the fungus for identification of the resistance. Results suggested that these two QTLs were selected effectively in each backcross generation and their positions were also verified in identification of resistance to rice sheath blight. In seedling nursery of BC3F2 population, plants were selected through marker-assisted selection, and were separately mixed as homozygous lines of double-susceptible alleles on the background of Teqing, double-susceptible and double-resistant on the background of Lemont. The homozygous lines and their recurrent parents were simultaneously planted on experiment fields of Agriculture Collage of Yangzhou University and Lixiahe District Institute of Agricultural Science. The inoculation was performed by a random-block test with two replicates at each site. The results indicated that 1) The difference of sheath blight disease development was highly significant among materials under the same genetic background,and the order of disease seriousness among different homozygous lines were: double-susceptible line on the background of Lemont > double-susceptible line on the background of Teqing > Lemont > Teqing > double-resistant line on the background of Lemont; 2) When the resistant allele of qSB-9 or qSB-11 solely existed in a plant, its disease rating was reduced about 1.2 score, and 2.0 score when they simultaneously existed on the background of Lemont; 3) No significant interaction between the two QTLs controlling sheath blight resistance and environments was found. These studies have laid a strong groundwork in operation and application, of these QTLs contributing to rice sheath blight resistance.

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Year:  2005        PMID: 16011032

Source DB:  PubMed          Journal:  Yi Chuan Xue Bao        ISSN: 0379-4172


  10 in total

1.  High-resolution mapping of Rsn1, a locus controlling sensitivity of rice to a necrosis-inducing phytotoxin from Rhizoctonia solani AG1-IA.

Authors:  Stefano Costanzo; Aaron K Jackson; Steven A Brooks
Journal:  Theor Appl Genet       Date:  2011-03-19       Impact factor: 5.699

2.  Identification of candidate genes in rice for resistance to sheath blight disease by whole genome sequencing.

Authors:  James Silva; Brian Scheffler; Yamid Sanabria; Christian De Guzman; Dominique Galam; Andrew Farmer; Jimmy Woodward; Gregory May; James Oard
Journal:  Theor Appl Genet       Date:  2011-09-07       Impact factor: 5.699

3.  Rhizoctonia solani Kühn Pathophysiology: Status and Prospects of Sheath Blight Disease Management in Rice.

Authors:  Manoranjan Senapati; Ajit Tiwari; Neha Sharma; Priya Chandra; Bishnu Maya Bashyal; Ranjith Kumar Ellur; Prolay Kumar Bhowmick; Haritha Bollinedi; K K Vinod; Ashok Kumar Singh; S Gopala Krishnan
Journal:  Front Plant Sci       Date:  2022-05-03       Impact factor: 6.627

4.  Fine mapping of qSB-11(LE), the QTL that confers partial resistance to rice sheath blight.

Authors:  Shimin Zuo; Yuejun Yin; Cunhong Pan; Zongxiang Chen; Yafang Zhang; Shiliang Gu; Lihuang Zhu; Xuebiao Pan
Journal:  Theor Appl Genet       Date:  2013-02-20       Impact factor: 5.699

5.  Allelic analysis of sheath blight resistance with association mapping in rice.

Authors:  Limeng Jia; Wengui Yan; Chengsong Zhu; Hesham A Agrama; Aaron Jackson; Kathleen Yeater; Xiaobai Li; Bihu Huang; Biaolin Hu; Anna McClung; Dianxing Wu
Journal:  PLoS One       Date:  2012-03-12       Impact factor: 3.240

6.  Identification of QTLs and possible candidate genes conferring sheath blight resistance in rice (Oryza sativa L.).

Authors:  Shailesh Yadav; Ghanta Anuradha; Ravi Ranjan Kumar; Lakshminaryana Reddy Vemireddy; Ravuru Sudhakar; Krishnaveni Donempudi; Durgarani Venkata; Farzana Jabeen; Yamini Kalinati Narasimhan; Balram Marathi; Ebrahimali Abubacker Siddiq
Journal:  Springerplus       Date:  2015-04-11

7.  Homologous haplotypes, expression, genetic effects and geographic distribution of the wheat yield gene TaGW2.

Authors:  Lin Qin; Chenyang Hao; Jian Hou; Yuquan Wang; Tian Li; Lanfen Wang; Zhengqiang Ma; Xueyong Zhang
Journal:  BMC Plant Biol       Date:  2014-04-25       Impact factor: 4.215

Review 8.  Understanding sheath blight resistance in rice: the road behind and the road ahead.

Authors:  Kutubuddin A Molla; Subhasis Karmakar; Johiruddin Molla; Prasad Bajaj; Rajeev K Varshney; Swapan K Datta; Karabi Datta
Journal:  Plant Biotechnol J       Date:  2020-01-29       Impact factor: 9.803

9.  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

Review 10.  Prospects of Understanding the Molecular Biology of Disease Resistance in Rice.

Authors:  Pankaj Kumar Singh; Akshay Nag; Preeti Arya; Ritu Kapoor; Akshay Singh; Rajdeep Jaswal; Tilak Raj Sharma
Journal:  Int J Mol Sci       Date:  2018-04-10       Impact factor: 5.923

  10 in total

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