Literature DB >> 17585380

The identification of candidate rice genes that confer resistance to the brown planthopper (Nilaparvata lugens) through representational difference analysis.

Dong-Soo Park1, Sang-Kyu Lee, Jong-Hee Lee, Min-Young Song, Song-Yi Song, Do-Yeon Kwak, Un-Sang Yeo, Nam-Soo Jeon, Soo-Kwon Park, Gihwan Yi, You-Chun Song, Min-Hee Nam, Yeon-Chung Ku, Jong-Seong Jeon.   

Abstract

The development of rice varieties (Oryza sativa L.) that are resistant to the brown planthopper (BPH; Nilaparvata lugens Stål) is an important objective in current breeding programs. In this study, we generated 132 BC(5)F(5) near-isogenic rice lines (NILs) by five backcrosses of Samgangbyeo, a BPH resistant indica variety carrying the Bph1 locus, with Nagdongbyeo, a BPH susceptible japonica variety. To identify genes that confer BPH resistance, we employed representational difference analysis (RDA) to detect transcripts that were exclusively expressed in one of our BPH resistant NIL, SNBC61, during insect feeding. The chromosomal mapping of the RDA clones that we subsequently isolated revealed that they are located in close proximity either to known quantitative trait loci or to an introgressed SSR marker from the BPH resistant donor parent Samgangbyeo. Genomic DNA gel-blot analysis further revealed that loci of all RDA clones in SNBC61 correspond to the alleles of Samgangbyeo. Most of the RDA clones were found to be exclusively expressed in SNBC61 and could be assigned to functional groups involved in plant defense. These RDA clones therefore represent candidate defense genes for BPH resistance.

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Year:  2007        PMID: 17585380     DOI: 10.1007/s00122-007-0587-0

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  44 in total

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  14 in total

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6.  Molecular tagging of the Bph1 locus for resistance to brown planthopper (Nilaparvata lugens Stål) through representational difference analysis.

Authors:  Dong-Soo Park; Min-Young Song; Soo-Kwon Park; Sang-Kyu Lee; Jong-Hee Lee; Song-Yi Song; Moo Young Eun; Tae-Ryong Hahn; Jae-Keun Sohn; Gihwan Yi; Min-Hee Nam; Jong-Seong Jeon
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Journal:  BMC Genomics       Date:  2012-12-10       Impact factor: 3.969

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