| Identification of candidate genes for drought stress tolerance in rice by the integration of a genetic （QTL） map with the rice genome physical map |
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| 作者姓名： | Wang XS Zhu J Mansueto L Bruskiewich R |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | INTRODUCTION Drought stress is a major constraint to rice(Oryza sativa) production and yield stability in rainedecosystems (Dey and Upadhyaya, 1996). Rice mustbe made more drought tolerant, but this is a somewhatcontradictory objective considering that rice is mostcommonly grown under flooded conditions. Achiev-ing drought tolerance in rice will require a deeperunderstanding of the possible physiological mecha-nisms available for water stress tolerance and theidentification of favo…
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| 关 键 词： | 稻 基因 染色体 耐旱性 稳定性 |
Identification of candidate genes for drought stress tolerance in rice by the integration of a genetic (QTL) map with the rice genome physical map |
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| Wang XS,Zhu J,Mansueto L,Bruskiewich R.Identification of candidate genes for drought stress tolerance in rice by the integration of a genetic (QTL) map with the rice genome physical map[J].Journal of Zhejiang University Science,2005,6(5):382-388. |
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| Authors: | Wang Xu-Sheng Zhu Jun Mansueto Locedie Bruskiewich Richard |
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| Institution: | Biometrics and Bioinformatics Unit, International Rice Research Institute DAPO 7777, Metro Manila, Philippines. |
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| Abstract: | Genetic improvement for drought stress tolerance in rice involves the quantitative nature of the trait, which reflects the additive effects of several genetic loci throughout the genome. Yield components and related traits under stressed and well-water conditions were assayed in mapping populations derived from crosses of Azucena×IR64 and Azucena×Bala. To find the candidate rice genes underlying Quantitative Trait Loci (QTL) in these populations, we conducted in silico analysis of a candidate region flanked by the genetic markers RM212 and RM319on chromosome 1, proximal to the semi-dwarf (sd1) locus. A total of 175annotated genes were identified from this region. These included 48 genes annotated by functional homology to known genes, 23pseudogenes, 24 ab initio predicted genes supported by an alignment match to an EST (Expressed sequence tag) of unknown function, and 80 hypothetical genes predicted solely by ab initio means. Among these, 16 candidate genes could potentially be involved in drought stress response. |
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| Keywords: | Rice genome sequence Candidate genes Drought stress Quantitative Trait Loci (QTL) |
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