Kunin Victor, Goldovsky Leon, Darzentas Nikos, Ouzounis Christos A
Computational Genomics Group, The European Bioinformatics Institute, EMBL Cambridge Outstation, Cambridge CB10 1SD, United Kingdom.
Genome Res. 2005 Jul;15(7):954-9. doi: 10.1101/gr.3666505. Epub 2005 Jun 17.
It has previously been suggested that the phylogeny of microbial species might be better described as a network containing vertical and horizontal gene transfer (HGT) events. Yet, all phylogenetic reconstructions so far have presented microbial trees rather than networks. Here, we present a first attempt to reconstruct such an evolutionary network, which we term the "net of life". We use available tree reconstruction methods to infer vertical inheritance, and use an ancestral state inference algorithm to map HGT events on the tree. We also describe a weighting scheme used to estimate the number of genes exchanged between pairs of organisms. We demonstrate that vertical inheritance constitutes the bulk of gene transfer on the tree of life. We term the bulk of horizontal gene flow between tree nodes as "vines", and demonstrate that multiple but mostly tiny vines interconnect the tree. Our results strongly suggest that the HGT network is a scale-free graph, a finding with important implications for genome evolution. We propose that genes might propagate extremely rapidly across microbial species through the HGT network, using certain organisms as hubs.
此前有人提出,微生物物种的系统发育可能更适合描述为一个包含垂直和水平基因转移(HGT)事件的网络。然而,到目前为止,所有的系统发育重建都呈现出微生物树而非网络。在此,我们首次尝试重建这样一个进化网络,我们将其称为“生命之网”。我们使用现有的树重建方法来推断垂直遗传,并使用一种祖先状态推断算法在树上绘制HGT事件。我们还描述了一种加权方案,用于估计生物体对之间交换的基因数量。我们证明,垂直遗传构成了生命之树上基因转移的主体。我们将树节点之间的大部分水平基因流称为“藤蔓”,并证明多个但大多微小的藤蔓将树相互连接。我们的结果有力地表明,HGT网络是一个无标度图,这一发现对基因组进化具有重要意义。我们提出,基因可能通过HGT网络在微生物物种间极其迅速地传播,利用某些生物体作为枢纽。