Literature DB >> 21681490

Evaluation of near-isogenic lines for drought resistance QTL and fine mapping of a locus affecting flag leaf width, spikelet number, and root volume in rice.

Xipeng Ding1, Xiaokai Li, Lizhong Xiong.   

Abstract

Drought stress is a major limiting factor for crop production and breeding for drought resistance is very challenging due to the complex nature of this trait. Previous studies in rice suggest that the upland japonica variety IRAT109 shows better drought resistance than the lowland indica variety Zhenshan 97. Numerous quantitative trait loci (QTL) have been previously mapped using a recombinant inbred line population derived from these two genotypes. In this study, near-isogenic lines (NILs) for 17 drought resistance-related QTL were constructed and phenotypic variations of these NILs were investigated under drought and normal conditions. Fourteen of these NILs showed significant phenotypic differences relative to the recurrent parent under at least one of the conditions and nine NILs showed significant differences under both conditions. After eliminating the effect of heading date on drought resistance, only four NILs carrying seven QTL (four for the same grain yield-related traits and three for the same or similar root traits QTL) showed differences consistent with the original QTL mapping results. One of these lines (N19) contains qFSR4, a QTL on chromosome 4 controlling root volume per tiller and co-segregating with flag leaf width and spikelet number per panicle. Using a population derived from N19, qFSR4 was mapped to a 38-kb region containing three open reading frames including the previously characterized NARROW LEAF 1 (NAL1) gene. NAL1, which controls leaf width and also affects vein patterning and polar auxin transport, is the most promising candidate genes for qFSR4. Our results underscore the importance of the development of NILs to confirm the identification of QTL affecting complex traits such as drought resistance.

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Year:  2011        PMID: 21681490     DOI: 10.1007/s00122-011-1629-1

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


  22 in total

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Journal:  Science       Date:  2004-10-29       Impact factor: 47.728

2.  Marker-assisted selection to introgress rice QTLs controlling root traits into an Indian upland rice variety.

Authors:  K A Steele; A H Price; H E Shashidhar; J R Witcombe
Journal:  Theor Appl Genet       Date:  2005-10-06       Impact factor: 5.699

3.  Natural variation in Ghd7 is an important regulator of heading date and yield potential in rice.

Authors:  Weiya Xue; Yongzhong Xing; Xiaoyu Weng; Yu Zhao; Weijiang Tang; Lei Wang; Hongju Zhou; Sibin Yu; Caiguo Xu; Xianghua Li; Qifa Zhang
Journal:  Nat Genet       Date:  2008-05-04       Impact factor: 38.330

4.  Genetic basis of drought resistance at reproductive stage in rice: separation of drought tolerance from drought avoidance.

Authors:  Bing Yue; Weiya Xue; Lizhong Xiong; Xinqiao Yu; Lijun Luo; Kehui Cui; Deming Jin; Yongzhong Xing; Qifa Zhang
Journal:  Genetics       Date:  2005-11-04       Impact factor: 4.562

5.  Rapid isolation of high molecular weight plant DNA.

Authors:  M G Murray; W F Thompson
Journal:  Nucleic Acids Res       Date:  1980-10-10       Impact factor: 16.971

6.  QTL analysis for flag leaf characteristics and their relationships with yield and yield traits in rice.

Authors:  Bing Yue; Wei-Ya Xue; Li-Jun Luo; Yong-Zhong Xing
Journal:  Yi Chuan Xue Bao       Date:  2006-09

7.  Computational and experimental analysis of microsatellites in rice (Oryza sativa L.): frequency, length variation, transposon associations, and genetic marker potential.

Authors:  S Temnykh; G DeClerck; A Lukashova; L Lipovich; S Cartinhour; S McCouch
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Review 8.  Auxin biosynthesis and its role in plant development.

Authors:  Yunde Zhao
Journal:  Annu Rev Plant Biol       Date:  2010       Impact factor: 26.379

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Authors:  G H Zou; H W Mei; H Y Liu; G L Liu; S P Hu; X Q Yu; M S Li; J H Wu; L J Luo
Journal:  Theor Appl Genet       Date:  2005-10-18       Impact factor: 5.699

10.  Strategies for developing Green Super Rice.

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  28 in total

1.  Fine mapping of a major QTL for flag leaf width in rice, qFLW4, which might be caused by alternative splicing of NAL1.

Authors:  Mingliang Chen; Ju Luo; Gaoneng Shao; Xiangjin Wei; Shaoqing Tang; Zhonghua Sheng; Jian Song; Peisong Hu
Journal:  Plant Cell Rep       Date:  2011-12-18       Impact factor: 4.570

2.  Fine mapping of QTLs for rice grain yield under drought reveals sub-QTLs conferring a response to variable drought severities.

Authors:  Shalabh Dixit; B P Mallikarjuna Swamy; Prashant Vikram; H U Ahmed; M T Sta Cruz; Modesto Amante; Dinesh Atri; Hei Leung; Arvind Kumar
Journal:  Theor Appl Genet       Date:  2012-02-24       Impact factor: 5.699

3.  Control of root system architecture by DEEPER ROOTING 1 increases rice yield under drought conditions.

Authors:  Yusaku Uga; Kazuhiko Sugimoto; Satoshi Ogawa; Jagadish Rane; Manabu Ishitani; Naho Hara; Yuka Kitomi; Yoshiaki Inukai; Kazuko Ono; Noriko Kanno; Haruhiko Inoue; Hinako Takehisa; Ritsuko Motoyama; Yoshiaki Nagamura; Jianzhong Wu; Takashi Matsumoto; Toshiyuki Takai; Kazutoshi Okuno; Masahiro Yano
Journal:  Nat Genet       Date:  2013-08-04       Impact factor: 38.330

4.  NAL1 allele from a rice landrace greatly increases yield in modern indica cultivars.

Authors:  Daisuke Fujita; Kurniawan Rudi Trijatmiko; Analiza Grubanzo Tagle; Maria Veronica Sapasap; Yohei Koide; Kazuhiro Sasaki; Nikolaos Tsakirpaloglou; Ritchel Bueno Gannaban; Takeshi Nishimura; Seiji Yanagihara; Yoshimichi Fukuta; Tomokazu Koshiba; Inez Hortense Slamet-Loedin; Tsutomu Ishimaru; Nobuya Kobayashi
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-02       Impact factor: 11.205

5.  Quantitative trait locus analysis and fine mapping of the qPL6 locus for panicle length in rice.

Authors:  Lin Zhang; Jianjun Wang; Junmin Wang; Linyou Wang; Bin Ma; Longjun Zeng; Yongbin Qi; Qun Li; Zuhua He
Journal:  Theor Appl Genet       Date:  2015-03-28       Impact factor: 5.699

6.  Construction of introgression lines of Oryza rufipogon and evaluation of important agronomic traits.

Authors:  Guannan Qin; Hung Manh Nguyen; Sinh Ngoc Luu; Yanwei Wang; Zhiguo Zhang
Journal:  Theor Appl Genet       Date:  2018-11-21       Impact factor: 5.699

7.  Validation of QTL for resistance to Aphanomyces euteiches in different pea genetic backgrounds using near-isogenic lines.

Authors:  C Lavaud; A Lesné; C Piriou; G Le Roy; G Boutet; A Moussart; C Poncet; R Delourme; A Baranger; M-L Pilet-Nayel
Journal:  Theor Appl Genet       Date:  2015-07-28       Impact factor: 5.699

Review 8.  Genetic improvement for root growth angle to enhance crop production.

Authors:  Yusaku Uga; Yuka Kitomi; Satoru Ishikawa; Masahiro Yano
Journal:  Breed Sci       Date:  2015-03-01       Impact factor: 2.086

9.  Genetic dissection and validation of candidate genes for flag leaf size in rice (Oryza sativa L.).

Authors:  Xinxin Tang; Rong Gong; Wenqiang Sun; Chaopu Zhang; Sibin Yu
Journal:  Theor Appl Genet       Date:  2017-12-07       Impact factor: 5.699

10.  Insight into differential responses of upland and paddy rice to drought stress by comparative expression profiling analysis.

Authors:  Xipeng Ding; Xiaokai Li; Lizhong Xiong
Journal:  Int J Mol Sci       Date:  2013-03-04       Impact factor: 5.923

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