Network-Thinking: Graphs to Analyze Microbial Complexity and Evolution

Eduardo Corel

doi:10.1016/j.tim.2015.12.003

2016-03-01

DOI：10.1016/j.tim.2015.12.003

原文链接

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摘要

En 中文

The tree model and tree-based methods have played a major, fruitful role in evolutionary studies. However, with the increasing realization of the quantitative and qualitative importance of reticulate evolutionary processes, affecting all levels of biological organization, complementary network-based models and methods are now flourishing, inviting evolutionary biology to experience a network-thinking era. We show how relatively recent corners in this field of study, that is, sequence-similarity networks, genome networks, and gene families-genomes bipartite graphs, already allow for a significantly enhanced usage of molecular datasets in comparative studies. Analyses of these networks provide tools for tackling a multitude of complex phenomena, including the evolution of gene transfer, composite genes and genomes, evolutionary transitions, and holobionts.

Keyword:

HORIZONTAL GENE-TRANSFER

SEQUENCE SIMILARITY NETWORKS

SULFATE-REDUCING BACTERIA

PROTEIN FAMILIES

PSEUDOURIDINE SYNTHASE

GENOME EVOLUTION

RIBOSOMAL-RNA

PADDY SOILS

10 REASONS

LIFE

期刊

Trends in Microbiology

IF:

14.9

论文数:

3.9K

被引数:

1.9W

机构

museum national d'histoire naturelle (mnhn)

学者数:

5.2K

论文数: 3.7K

被引数: 2

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