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首页> 外文期刊>American journal of botany >Comparison of whole chloroplast genome sequences to choose noncoding regions for phylogenetic studies in angiosperms: The tortoise and the hare III
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Comparison of whole chloroplast genome sequences to choose noncoding regions for phylogenetic studies in angiosperms: The tortoise and the hare III

机译:比较整个叶绿体基因组序列以选择非编码区用于被子植物的系统发育研究:乌龟和野兔III

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摘要

Although the chloroplast genome contains many noncoding regions, relatively few have been exploited for interspecific phylogenetic and intraspecific phylogeographic studies. In our recent evaluation of the phylogenetic utility of 21 noncoding chloroplast regions, we found the most widely used noncoding regions are among the least variable, but the more variable regions have rarely been employed. That study led us to conclude that there may be unexplored regions of the chloroplast genome that have even higher relative levels of variability. To explore the potential variability of previously unexplored regions, we compared three pairs of single-copy chloroplast genome sequences in three disparate angiosperm lineages: Atropa vs. Nicotiana (asterids); Lotus vs. Medicago (rosids); and Saccharum vs. Oryza (monocots). These three separate sequence alignments highlighted 13 mutational hotspots that may be more variable than the best regions of our former study. These 13 regions were then selected for a more detailed analysis. Here we show that nine of these newly explored regions (rp132-trnL((UAG)), trnQ((UUG))-5'rps16, 3'trnV((UAC))-ndhC, ndhF-rp132, psbD-trnT((GGU)), psbJ-petA, 3'rps16-5'trnK((UUU)), atpI-atpH, and petL-psbE) offer levels of variation better than the best regions identified in our earlier study and are therefore likely to be the best choices for molecular studies at low taxonomic levels.
机译:尽管叶绿体基因组包含许多非编码区,但相对少一些已被用于种间系统发生和种内系统地理学研究。在我们对21个非编码叶绿体区域的系统发育实用性的最新评估中,我们发现使用最广泛的非编码区域是变化最小的区域,而变化较大的区域却很少被使用。这项研究使我们得出结论,叶绿体基因组中可能有尚未探索的区域,其变异性甚至更高。为了探索先前未开发区域的潜在变异性,我们比较了三对不同的被子植物谱系中的三对单拷贝叶绿体基因组序列:Atropa vs. Nicotiana(星号);莲花vs紫花苜蓿(玫瑰花);以及Saccharum对Oryza(单子叶植物)。这三个单独的序列比对突出显示了13个突变热点,这些热点可能比我们先前研究的最佳区域更具可变性。然后选择这13个区域进行更详细的分析。在这里,我们显示了这些新探索的区域中的九个区域(rp132-trnL((UAG)),trnQ((UUG))-5'rps16,3'trnV((UAC))-ndhC,ndhF-rp132,psbD-trnT( (GGU)),psbJ-petA,3'rps16-5'trnK((UUU)),atpI-atpH和petL-psbE)提供的变异水平优于我们先前研究中确定的最佳区域,因此可能是低分类水平的分子研究的最佳选择。

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