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Chance and necessity in the evolution of minimal metabolic networks.

Abstract：

:It is possible to infer aspects of an organism's lifestyle from its gene content. Can the reverse also be done? Here we consider this issue by modelling evolution of the reduced genomes of endosymbiotic bacteria. The diversity of gene content in these bacteria may reflect both variation in selective forces and contingency-dependent loss of alternative pathways. Using an in silico representation of the metabolic network of Escherichia coli, we examine the role of contingency by repeatedly simulating the successive loss of genes while controlling for the environment. The minimal networks that result are variable in both gene content and number. Partially different metabolisms can thus evolve owing to contingency alone. The simulation outcomes do preserve a core metabolism, however, which is over-represented in strict intracellular bacteria. Moreover, differences between minimal networks based on lifestyle are predictable: by simulating their respective environmental conditions, we can model evolution of the gene content in Buchnera aphidicola and Wigglesworthia glossinidia with over 80% accuracy. We conclude that, at least for the particular cases considered here, gene content of an organism can be predicted with knowledge of its distant ancestors and its current lifestyle.

journal_name

Nature

journal_title

Nature

authors

Pál C,Papp B,Lercher MJ,Csermely P,Oliver SG,Hurst LD

doi

10.1038/nature04568

keywords:

subject

Has Abstract

pub_date

2006-03-30 00:00:00

pages

667-70

issue

7084

eissn

0028-0836

issn

1476-4687

pii

nature04568

journal_volume

440

pub_type

杂志文章

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