Data mining for miRNAs and their targets in the Triticeae

Data mining for miRNAs and their targets in the Triticeae
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DOI:
10.1139/g08-025
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发表时间:
2008-06-01
期刊:
影响因子:
3.1
通讯作者:
Gulick, Patrick J.
Gulick, Patrick J.
中科院分区:
生物学3区
文献类型:
--
作者:
Dryanova, Ani;Zakharov, Arseny;Gulick, Patrick J.

文献摘要

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通过在小麦族物种的DNA序列数据库中进行序列互补性分析,鉴定出了微小RNA(miRNAs)以及miRNAs的信使RNA(mRNA)靶标。数据筛选在15个miRNA家族中鉴定出28条miRNA前体序列,这些序列在预测的茎环结构内包含保守的成熟miRNA序列。此外,在小麦族基因中鉴定出337个靶标序列,进一步证明了谷类作物中存在26个miRNA家族。微小RNA靶标包括与多种模式物种中已知靶标同源的基因以及新的靶标。在10个相关物种中鉴定出了微小RNA前体和靶标,不过其中绝大多数是在普通小麦(Triticum aestivum)和大麦(Hordeum vulgare)中鉴定出来的,这两个物种在小麦族中拥有最大的表达序列标签(EST)数据集。
MicroRNAs (miRNAs) and the mRNA targets of miRNAs were identified by sequence complementarity within a DNA sequence database for species of the Triticeae. Data screening identified 28 miRNA precursor sequences from 15 miRNA families that contained conserved mature miRNA sequences within predicted stem-loop structures. In addition, the identification of 337 target sequences among Triticeae genes provided further evidence of the existence of 26 miRNA families in the cereals. MicroRNA targets included genes that are homologous to known targets in diverse model species as well as novel targets. MicroRNA precursors and targets were identified in 10 related species, though the great majority of them were identified in bread wheat, Triticum aestivum, and barley, Hordeum vulgare, the two species with the largest EST data sets among the Triticeae.