Wang Xu-Sheng, Zhu Jun, Mansueto Locedie, Bruskiewich Richard
Biometrics and Bioinformatics Unit, International Rice Research Institute DAPO 7777, Metro Manila, Philippines.
J Zhejiang Univ Sci B. 2005 May;6(5):382-8. doi: 10.1631/jzus.2005.B0382.
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 AzucenaxIR64 and AzucenaxBala. 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 RM319 on chromosome 1, proximal to the semi-dwarf (sd1) locus. A total of 175 annotated genes were identified from this region. These included 48 genes annotated by functional homology to known genes, 23 pseudogenes, 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.
水稻耐旱性的遗传改良涉及该性状的数量特性,这反映了整个基因组中多个基因座的加性效应。在源自AzucenaxIR64和AzucenaxBala杂交的作图群体中,测定了胁迫和水分充足条件下的产量构成因素及相关性状。为了找到这些群体中潜在的数量性状基因座(QTL)的水稻候选基因,我们对1号染色体上位于半矮秆(sd1)基因座近端、由遗传标记RM212和RM319界定的候选区域进行了电子分析。从该区域共鉴定出175个注释基因。其中包括48个与已知基因功能同源注释的基因、23个假基因、24个通过与功能未知的EST(表达序列标签)比对匹配支持的从头预测基因,以及80个仅通过从头预测方法预测的假设基因。其中,16个候选基因可能参与干旱胁迫响应。