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亚基因水平的进化:果蝇系统发育中的结构域重排。

Evolution at the subgene level: domain rearrangements in the Drosophila phylogeny.

机构信息

Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Massachusetts, USA.

出版信息

Mol Biol Evol. 2012 Feb;29(2):689-705. doi: 10.1093/molbev/msr222. Epub 2011 Sep 7.

Abstract

Although the possibility of gene evolution by domain rearrangements has long been appreciated, current methods for reconstructing and systematically analyzing gene family evolution are limited to events such as duplication, loss, and sometimes, horizontal transfer. However, within the Drosophila clade, we find domain rearrangements occur in 35.9% of gene families, and thus, any comprehensive study of gene evolution in these species will need to account for such events. Here, we present a new computational model and algorithm for reconstructing gene evolution at the domain level. We develop a method for detecting homologous domains between genes and present a phylogenetic algorithm for reconstructing maximum parsimony evolutionary histories that include domain generation, duplication, loss, merge (fusion), and split (fission) events. Using this method, we find that genes involved in fusion and fission are enriched in signaling and development, suggesting that domain rearrangements and reuse may be crucial in these processes. We also find that fusion is more abundant than fission, and that fusion and fission events occur predominantly alongside duplication, with 92.5% and 34.3% of fusion and fission events retaining ancestral architectures in the duplicated copies. We provide a catalog of ∼9,000 genes that undergo domain rearrangement across nine sequenced species, along with possible mechanisms for their formation. These results dramatically expand on evolution at the subgene level and offer several insights into how new genes and functions arise between species.

摘要

尽管域重排导致基因进化的可能性早已被人们所认识,但目前用于重建和系统分析基因家族进化的方法仅限于复制、缺失等事件,有时还包括水平转移。然而,在果蝇进化枝中,我们发现 35.9%的基因家族发生了结构域重排,因此,对这些物种中基因进化的任何全面研究都需要考虑到这些事件。在这里,我们提出了一种新的计算模型和算法,用于在域水平上重建基因进化。我们开发了一种用于检测基因之间同源结构域的方法,并提出了一种用于重建包括结构域生成、复制、缺失、合并(融合)和分裂(裂变)事件的最大简约进化历史的系统发育算法。使用这种方法,我们发现参与融合和裂变的基因在信号转导和发育中富集,表明结构域重排和再利用可能在这些过程中至关重要。我们还发现融合比裂变更为丰富,并且融合和裂变事件主要与复制同时发生,92.5%和 34.3%的融合和裂变事件在复制的副本中保留了祖先的结构。我们提供了一个跨越九个测序物种的约 9000 个发生结构域重排的基因目录,以及它们形成的可能机制。这些结果大大扩展了亚基因水平的进化,并为物种之间新基因和功能的产生提供了一些见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/edb3/3258039/b613038a5706/molbiolevolmsr222f01_3c.jpg

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