Literature DB >> 16979849

Differential evolutionary rates of duplicated genes in protein interaction network.

Takashi Makino1, Yoshiyuki Suzuki, Takashi Gojobori.   

Abstract

In the network of protein-protein interactions (PPIs), a loss and gain of the partnering proteins can cause drastic changes of network formation during evolution. With the aim of examining the evolutionary effects of the loss and gain of the partnering proteins on PPIs, we examined a relationship between evolutionary rates and losses and/or gains of PPIs for duplicated gene pairs encoding proteins involved in the PPI network. For duplicated pairs, which provided us with a unique opportunity of making fair comparisons of the genes with the same initial condition, we found that the evolutionary rate of the protein with more PPI partners is much slower than that of the other with fewer PPI partners. Moreover, when the ratio of evolutionary rates (faster rate/slower rate) was computed for each of the duplicated pairs, the ratio for the duplicated pair sharing any PPI partners was significantly lower than that for the pair sharing no PPI partners. These results indicate that the duplicated gene pairs differentiate through the losses and/or gains of the PPI partners, resulting in a change in their evolutionary rates. In particular, we point out that the PPI losses for the duplicated gene products that are involved in the functional classes of 'transcription' and 'protein fate' have an impact on their evolutionary rates more than the PPI losses for others.

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Year:  2006        PMID: 16979849     DOI: 10.1016/j.gene.2006.06.028

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  9 in total

1.  Origin of a function by tandem gene duplication limits the evolutionary capability of its sister copy.

Authors:  Martin Hasselmann; Sarah Lechner; Christina Schulte; Martin Beye
Journal:  Proc Natl Acad Sci U S A       Date:  2010-07-12       Impact factor: 11.205

Review 2.  Retention of duplicated genes in evolution.

Authors:  Elena Kuzmin; John S Taylor; Charles Boone
Journal:  Trends Genet       Date:  2021-07-20       Impact factor: 11.639

3.  Distribution of events of positive selection and population differentiation in a metabolic pathway: the case of asparagine N-glycosylation.

Authors:  Giovanni Marco Dall'Olio; Hafid Laayouni; Pierre Luisi; Martin Sikora; Ludovica Montanucci; Jaume Bertranpetit
Journal:  BMC Evol Biol       Date:  2012-06-25       Impact factor: 3.260

4.  Network archaeology: uncovering ancient networks from present-day interactions.

Authors:  Saket Navlakha; Carl Kingsford
Journal:  PLoS Comput Biol       Date:  2011-04-14       Impact factor: 4.475

5.  Differences in the number of intrinsically disordered regions between yeast duplicated proteins, and their relationship with functional divergence.

Authors:  Floriane Montanari; Denis C Shields; Nora Khaldi
Journal:  PLoS One       Date:  2011-09-15       Impact factor: 3.240

6.  In silico prediction of protein-protein interactions in human macrophages.

Authors:  Oussema Souiai; Fatma Guerfali; Slimane Ben Miled; Christine Brun; Alia Benkahla
Journal:  BMC Res Notes       Date:  2014-03-17

7.  Investigating different duplication pattern of essential genes in mouse and human.

Authors:  Debarun Acharya; Dola Mukherjee; Soumita Podder; Tapash C Ghosh
Journal:  PLoS One       Date:  2015-03-09       Impact factor: 3.240

8.  Age-dependent evolution of the yeast protein interaction network suggests a limited role of gene duplication and divergence.

Authors:  Wan Kyu Kim; Edward M Marcotte
Journal:  PLoS Comput Biol       Date:  2008-11-28       Impact factor: 4.475

9.  Encoding asymmetry of the N-glycosylation motif facilitates glycoprotein evolution.

Authors:  Ryan Williams; Xiangyuan Ma; Ryan K Schott; Naveed Mohammad; Chi Yip Ho; Carey F Li; Belinda S W Chang; Michael Demetriou; James W Dennis
Journal:  PLoS One       Date:  2014-01-24       Impact factor: 3.240

  9 in total

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