Department of Biology, Institute for Molecular Evolution, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Genome Biol Evol. 2021 Oct 1;13(10). doi: 10.1093/gbe/evab224.
The contribution of gene duplications to the evolution of eukaryotic genomes is well studied. By contrast, studies of gene duplications in prokaryotes are scarce and generally limited to a handful of genes or careful analysis of a few prokaryotic lineages. Systematic broad-scale studies of prokaryotic genomes that sample available data are lacking, leaving gaps in our understanding of the contribution of gene duplications as a source of genetic novelty in the prokaryotic world. Here, we report conservative and robust estimates for the frequency of recent gene duplications within prokaryotic genomes relative to recent lateral gene transfer (LGT), as mechanisms to generate multiple copies of related sequences in the same genome. We obtain our estimates by focusing on evolutionarily recent events among 5,655 prokaryotic genomes, thereby avoiding vagaries of deep phylogenetic inference and confounding effects of ancient events and differential loss. We find that recent, genome-specific gene duplications are at least 50 times less frequent and probably 100 times less frequent than recent, genome-specific, gene acquisitions via LGT. The frequency of gene duplications varies across lineages and functional categories. The findings improve our understanding of genome evolution in prokaryotes and have far-reaching implications for evolutionary models that entail LGT to gene duplications ratio as a parameter.
基因复制对真核生物基因组进化的贡献已得到充分研究。相比之下,对原核生物基因复制的研究则相对较少,通常仅限于少数几个基因或对少数几个原核生物谱系进行仔细分析。缺乏对原核生物基因组进行系统的、广泛的、基于现有数据的采样研究,这使得我们对基因复制作为原核生物世界遗传新颖性来源的贡献的理解存在空白。在这里,我们报告了相对于最近的水平基因转移(LGT)而言,在原核生物基因组中最近发生的基因复制的频率的保守和稳健估计值,因为它们是在同一个基因组中产生相关序列多个拷贝的机制。我们通过专注于 5655 个原核生物基因组中的进化上最近的事件来获得这些估计值,从而避免了深度系统发育推断的变幻莫测以及古老事件和差异丢失的混杂影响。我们发现,最近的、基因组特异性的基因复制的频率至少比最近的、基因组特异性的、通过 LGT 获得的基因复制的频率低 50 倍,而且可能低 100 倍。基因复制的频率在谱系和功能类别之间有所不同。这些发现增进了我们对原核生物基因组进化的理解,对涉及作为参数的 LGT 与基因复制比的进化模型具有深远的意义。