Evidence map›Paper›PMID 27521813›Full record

ArticleGenome biology and evolution2016

Genomic Complexity Places Less Restrictions on the Evolution of Young Coexpression Networks than Protein-Protein Interactions.

Wen Wei, Yan-Ting Jin, Meng-Ze Du, Ju Wang, Nini Rao, Feng-Biao Guo

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Article in Genome biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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  7. Co-adaption of tRNA gene copy number and amino acid usage influences translation rates in three life domains.DNA research : an international journal for rapid publication of reports on genes and genomes · 2017
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Wen WeiSchool of Life Sciences, Chongqing University, Chongqing, China School of Biomedical Engineering, Tianjin Medical University, Tianjin, China.
Yan-Ting JinKey Laboratory for Neuroinformation of the Ministry of Education, Center of Bioinformatics, University of Electronic Science and Technology of China, Chengdu, China Center for Information in Biomedicine, University of Electronic Science and Technology of China, Chengdu, China.
Meng-Ze DuKey Laboratory for Neuroinformation of the Ministry of Education, Center of Bioinformatics, University of Electronic Science and Technology of China, Chengdu, China Center for Information in Biomedicine, University of Electronic Science and Technology of China, Chengdu, China.
Ju WangSchool of Biomedical Engineering, Tianjin Medical University, Tianjin, China.
Nini RaoKey Laboratory for Neuroinformation of the Ministry of Education, Center of Bioinformatics, University of Electronic Science and Technology of China, Chengdu, China Center for Information in Biomedicine, University of Electronic Science and Technology of China, Chengdu, China.
Feng-Biao GuoKey Laboratory for Neuroinformation of the Ministry of Education, Center of Bioinformatics, University of Electronic Science and Technology of China, Chengdu, China Center for Information in Biomedicine, University of Electronic Science and Technology of China, Chengdu, China fbguo@uestc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The differences in evolutionary patterns of young protein-protein interactions (PPIs) among distinct species have long been a puzzle. However, based on our genome-wide analysis of available integrated experimental data, we confirm that young genes preferentially integrate into ancestral PPI networks, and that this manner is consistent in all of six model organisms with widely different levels of phenotypic complexity. We demonstrate that the level of restrictions placed on the evolution of biological networks declines with a decrease of phenotypic complexity. Compared with young PPI networks, new co-expression links have less evolutionary restrictions, so a young gene with a high possibility to be coexpressed other young genes relatively frequently emerges in the four simpler genomes among the six studied. However, it is not favorable for such young-young coexpression in terms of a young gene evolving into a coexpression hub, so the coexpression pattern could gradually decline. To explain this apparent contradiction, we suggest that young genes that are initially peripheral to networks are temporarily coexpressed with other young genes, driving functional evolution because of low selective pressure. However, as the expression levels of genes increase and they gradually develop a greater effect on fitness, young genes start to be coexpressed more with members of ancestral networks and less with other young genes. Our findings provide new insights into the evolution of biological networks.

Indexed as

Evolution, MolecularGene Regulatory NetworksProtein Interaction MapsAnimalsArchaeaBacteriaFungiGenetic FitnessGenomeHumansPhenotypebiological networkphenotypic complexityyoung gene

Identifiers

PMID27521813
PMCPMC5010916

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