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Computational identification of anthocyanin-specific transcription factors using a rice microarray and maximum boundary range algorithm

机译:利用水稻微阵列和最大边界范围算法计算鉴定花色苷特异性转录因子

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摘要

This study identifies 2,617 candidate genes related to anthocyanin biosynthesis in rice using microarray analysis and a newly developed maximum boundary range algorithm. Three seed developmental stages were examined in white cultivar and two black Dissociation insertion mutants. The resultant 235 transcription factor genes found to be associated with anthocyanin were classified into nine groups. It is compared the 235 genes by transcription factor analysis and 593 genes from among clusters of COGs related to anthocyanin functions. Total 32 genes were found to be expressed commonly. Among these, 9 unknown and hypothetical genes were revealed to be expressed at each developmental stage and were verified by RT-PCR. These genes most likely play regulatory roles in either anthocyanin production or metabolism during flavonoid biosynthesis. While these genes require further validation, our results underline the potential usefulness of the newly developed algorithm.
机译:这项研究使用微阵列分析和新开发的最大边界范围算法,鉴定了2,617个与水稻中花色苷生物合成相关的候选基因。在白色品种和两个黑色Dissociation插入突变体中检测了三个种子发育阶段。将发现的与花青素相关的235个转录因子基因分为九组。通过转录因子分析比较了与花色苷功能有关的COG簇中的235个基因和593个基因。发现共有32个基因共同表达。其中,有9个未知和假设的基因被发现在每个发育阶段均表达,并通过RT-PCR进行了验证。这些基因很可能在类黄酮生物合成过程中的花色苷生成或代谢中起调节作用。尽管这些基因需要进一步验证,但我们的结果强调了新开发算法的潜在实用性。

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