Department of Chemistry and Biochemistry, University of Colorado, Boulder, CO 80309, USA
RNA. 2010 Aug;16(8):1469-77. doi: 10.1261/rna.726010. Epub 2010 Jun 17.
tRNAs are among the most ancient, highly conserved sequences on earth, but are often thought to be poor phylogenetic markers because they are short, often subject to horizontal gene transfer, and easily change specificity. Here we use an algorithm now commonly used in microbial ecology, UniFrac, to cluster 175 genomes spanning all three domains of life based on the phylogenetic relationships among their complete tRNA pools. We find that the overall pattern of similarities and differences in the tRNA pools recaptures universal phylogeny to a remarkable extent, and that the resulting tree is similar to the distribution of bootstrapped rRNA trees from the same genomes. In contrast, the trees derived from tRNAs of identical specificity or of individual isoacceptors generally produced trees of lower quality. However, some tRNA isoacceptors were very good predictors of the overall pattern of organismal evolution. These results show that UniFrac can extract meaningful biological patterns from even phylogenies with high level of statistical inaccuracy and horizontal gene transfer, and that, overall, the pattern of tRNA evolution tracks universal phylogeny and provides a background against which we can test hypotheses about the evolution of individual isoacceptors.
tRNAs 是地球上最古老、高度保守的序列之一,但通常被认为是较差的系统发生标记,因为它们很短,经常受到水平基因转移的影响,并且容易改变特异性。在这里,我们使用微生物生态学中常用的一种算法,UniFrac,根据其完整 tRNA 库之间的系统发育关系,对跨越生命三个领域的 175 个基因组进行聚类。我们发现,tRNA 库的相似性和差异性的总体模式在很大程度上再现了普遍的系统发育,并且得到的树与来自相同基因组的 rRNA 树的bootstrap 分布相似。相比之下,来自相同特异性或单个同工受体的 tRNA 的树通常产生质量较低的树。然而,一些 tRNA 同工受体是生物体进化总体模式的很好的预测因子。这些结果表明,即使在具有高水平统计不准确性和水平基因转移的系统发育中,UniFrac 也可以从这些系统发育中提取有意义的生物学模式,并且总体而言,tRNA 进化的模式与普遍的系统发育保持一致,并为我们检验关于单个同工受体进化的假设提供了背景。