The Net of Life, a short story: Intricate patterns of gene flows across hundreds of extant genomes, all the way to LUCA

IF 1.9 4区 生物学 Q2 BIOLOGY Biosystems Pub Date : 2024-04-17 DOI:10.1016/j.biosystems.2024.105199
Christos A. Ouzounis
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Abstract

Over the past quarter-century, the field of evolutionary biology has been transformed by the emergence of complete genome sequences and the conceptual framework known as the 'Net of Life.' This paradigm shift challenges traditional notions of evolution as a tree-like process, emphasizing the complex, interconnected network of gene flow that may blur the boundaries between distinct lineages. In this context, gene loss, rather than horizontal gene transfer, is the primary driver of gene content, with vertical inheritance playing a principal role. The 'Net of Life' not only impacts our understanding of genome evolution but also has profound implications for classification systems, the rapid appearance of new traits, and the spread of diseases. Here, we explore the core tenets of the 'Net of Life' and its implications for genome-scale phylogenetic divergence, providing a comprehensive framework for further investigations in evolutionary biology.

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生命之网,一个小故事:数百个现存基因组中错综复杂的基因流动模式,一直延伸到 LUCA
在过去的四分之一世纪里,完整基因组序列的出现以及被称为 "生命之网 "的概念框架改变了进化生物学领域。这种范式的转变挑战了将进化视为树状过程的传统观念,强调了基因流动的复杂、相互关联的网络,这种网络可能会模糊不同种系之间的界限。在这种情况下,基因丢失而非水平基因转移是基因内容的主要驱动力,垂直遗传则扮演着主要角色。生命之网 "不仅影响了我们对基因组进化的理解,还对分类系统、新性状的快速出现和疾病的传播产生了深远影响。在这里,我们探讨了 "生命之网 "的核心原理及其对基因组规模系统发育差异的影响,为进化生物学的进一步研究提供了一个全面的框架。
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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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