首页> 外文期刊>Plant molecular biology reporter >Investigation on the Conserved MicroRNA Genes in Higher Plants
【24h】

Investigation on the Conserved MicroRNA Genes in Higher Plants

机译:高等植物保守微稻草基因的研究

获取原文
获取原文并翻译 | 示例
       

摘要

Analysis of evolving microRNA repertoires within the plant domain can further corroborate our understanding of genome evolution and plasticity. An extensive collection of relatively unbiased miRBase-registered plant miRNAs and predicted unlistedMIRs from 23 plant ESTs were examined. As a result, 4324 pre-miRNAs were predicted and classified in 656 miRNA gene families with mostly being transposons (57.81%). From 216 newly identified pre-miRNAs, 103 distinct types belonged to reduced complexity/repeated regions. Collinearity between the numbers of miRNAs in each species with the relevant sizes of genomes was absent. Duplications ofMIRs were evident, with higher MIR paralogs in Liliopsida compared with dicots. Due to the lack of an apparent pattern of phylogeny, Dollo maximum parsimony was used that established the acceleration of gains and potential losses of miRNA gene families within Mesangiospermae during the last 200 million years ago. Phylogenetic analysis of Liliopsida in contrast to Eudicotyledons agreed with the reconstructed tree based on the possible expansion of distinguished MIR families. In marked contrast to dicots, the degrees of resemblance in Liliopsida were higher than their direct predecessors. Analyses of recent monophyletic lineages were illustrative of miRNA horizontal genes transfer.
机译:对植物结构域内不断进化的microRNA库的分析可以进一步证实我们对基因组进化和可塑性的理解。对23个植物EST中大量相对无偏的miRBase注册植物miRNA和预测的未插入子进行了检测。结果,预测了4324个前miRNA,并将其分为656个miRNA基因家族,其中大多数为转座子(57.81%)。在新发现的216个前miRNA中,103个不同的类型属于复杂度降低/重复区域。每个物种中的miRNA数量与相关基因组大小之间缺乏共线性。和双子叶植物相比,Liliopsida中的MIR同源性更高。由于缺乏明显的系统发育模式,在过去2亿年中,多洛最大简约法被用来加速系膜精子科中miRNA基因家族的获得和潜在损失。与真双子叶植物相比,Liliopsida的系统发育分析与基于可区分MIR家族可能扩展的重建树一致。与双子叶植物形成鲜明对比的是,Liliopsida的相似程度高于它们的直接祖先。最近对单系谱系的分析说明了miRNA水平基因转移。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号