Modolo Laurent, Picard Franck, Lerat Emmanuelle
Université de Lyon, France, Université Lyon 1, CNRS, UMR 5558, Laboratoire de Biométrie et Biologie Evolutive, VIlleurbanne, France.
Genome Biol Evol. 2014 Feb;6(2):416-32. doi: 10.1093/gbe/evu026.
Because of methodological breakthroughs and the availability of an increasing amount of whole-genome sequence data, horizontal transfers (HTs) in eukaryotes have received much attention recently. Contrary to similar analyses in prokaryotes, most studies in eukaryotes usually investigate particular sequences corresponding to transposable elements (TEs), neglecting the other components of the genome. We present a new methodological framework for the genome-wide detection of all putative horizontally transferred sequences between two species that requires no prior knowledge of the transferred sequences. This method provides a broader picture of HTs in eukaryotes by fully exploiting complete-genome sequence data. In contrast to previous genome-wide approaches, we used a well-defined statistical framework to control for the number of false positives in the results, and we propose two new validation procedures to control for confounding factors. The first validation procedure relies on a comparative analysis with other species of the phylogeny to validate HTs for the nonrepeated sequences detected, whereas the second one built upon the study of the dynamics of the detected TEs. We applied our method to two closely related Drosophila species, Drosophila melanogaster and D. simulans, in which we discovered 10 new HTs in addition to all the HTs previously detected in different studies, which underscores our method's high sensitivity and specificity. Our results favor the hypothesis of multiple independent HTs of TEs while unraveling a small portion of the network of HTs in the Drosophila phylogeny.
由于方法上的突破以及全基因组序列数据量的不断增加,真核生物中的水平转移(HTs)最近受到了广泛关注。与原核生物中的类似分析不同,真核生物中的大多数研究通常只调查与转座元件(TEs)相对应的特定序列,而忽略了基因组的其他成分。我们提出了一个新的方法框架,用于在两个物种之间进行全基因组范围内所有假定水平转移序列的检测,该方法无需事先了解转移序列。通过充分利用全基因组序列数据,该方法提供了真核生物中水平转移的更全面图景。与以前的全基因组方法不同,我们使用了一个定义明确的统计框架来控制结果中的假阳性数量,并提出了两种新的验证程序来控制混杂因素。第一个验证程序依赖于与系统发育中其他物种的比较分析,以验证检测到的非重复序列的水平转移,而第二个程序则基于对检测到的转座元件动态的研究。我们将我们的方法应用于两个密切相关的果蝇物种,黑腹果蝇和拟果蝇,在其中我们除了发现先前不同研究中检测到的所有水平转移之外,还发现了10个新的水平转移,这突出了我们方法的高灵敏度和特异性。我们的结果支持转座元件多次独立水平转移的假设,同时揭示了果蝇系统发育中水平转移网络的一小部分。