Literature DB >> 25991861

Rapid molecular evolution across amniotes of the IIS/TOR network.

Suzanne E McGaugh1, Anne M Bronikowski2, Chih-Horng Kuo3, Dawn M Reding4, Elizabeth A Addis4, Lex E Flagel5, Fredric J Janzen4, Tonia S Schwartz6.   

Abstract

The insulin/insulin-like signaling and target of rapamycin (IIS/TOR) network regulates lifespan and reproduction, as well as metabolic diseases, cancer, and aging. Despite its vital role in health, comparative analyses of IIS/TOR have been limited to invertebrates and mammals. We conducted an extensive evolutionary analysis of the IIS/TOR network across 66 amniotes with 18 newly generated transcriptomes from nonavian reptiles and additional available genomes/transcriptomes. We uncovered rapid and extensive molecular evolution between reptiles (including birds) and mammals: (i) the IIS/TOR network, including the critical nodes insulin receptor substrate (IRS) and phosphatidylinositol 3-kinase (PI3K), exhibit divergent evolutionary rates between reptiles and mammals; (ii) compared with a proxy for the rest of the genome, genes of the IIS/TOR extracellular network exhibit exceptionally fast evolutionary rates; and (iii) signatures of positive selection and coevolution of the extracellular network suggest reptile- and mammal-specific interactions between members of the network. In reptiles, positively selected sites cluster on the binding surfaces of insulin-like growth factor 1 (IGF1), IGF1 receptor (IGF1R), and insulin receptor (INSR); whereas in mammals, positively selected sites clustered on the IGF2 binding surface, suggesting that these hormone-receptor binding affinities are targets of positive selection. Further, contrary to reports that IGF2R binds IGF2 only in marsupial and placental mammals, we found positively selected sites clustered on the hormone binding surface of reptile IGF2R that suggest that IGF2R binds to IGF hormones in diverse taxa and may have evolved in reptiles. These data suggest that key IIS/TOR paralogs have sub- or neofunctionalized between mammals and reptiles and that this network may underlie fundamental life history and physiological differences between these amniote sister clades.

Entities:  

Keywords:  insulin growth factor; insulin signaling; molecular evolution; rapamycin

Mesh:

Substances:

Year:  2015        PMID: 25991861      PMCID: PMC4460498          DOI: 10.1073/pnas.1419659112

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  82 in total

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Journal:  Nat Rev Mol Cell Biol       Date:  2006-02       Impact factor: 94.444

4.  Network-level molecular evolutionary analysis of the insulin/TOR signal transduction pathway across 12 Drosophila genomes.

Authors:  David Alvarez-Ponce; Montserrat Aguadé; Julio Rozas
Journal:  Genome Res       Date:  2009-01-13       Impact factor: 9.043

5.  Model for the complex between the insulin-like growth factor I and its receptor: towards designing antagonists for the IGF-1 receptor.

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Journal:  Protein Eng Des Sel       Date:  2006-06-13       Impact factor: 1.650

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8.  The Burmese python genome reveals the molecular basis for extreme adaptation in snakes.

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Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-02       Impact factor: 11.205

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Authors:  Briony E Forbes; Peter McCarthy; Raymond S Norton
Journal:  Front Endocrinol (Lausanne)       Date:  2012-03-02       Impact factor: 5.555

10.  A simple dependence between protein evolution rate and the number of protein-protein interactions.

Authors:  Hunter B Fraser; Dennis P Wall; Aaron E Hirsh
Journal:  BMC Evol Biol       Date:  2003-05-23       Impact factor: 3.260

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  21 in total

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Authors:  Suzanne McGaugh; Tonia S Schwartz
Journal:  Biol Lett       Date:  2017-01       Impact factor: 3.703

2.  Postnatal expression of IGF2 is the norm in amniote vertebrates.

Authors:  Abby Beatty; Alexander M Rubin; Haruka Wada; Britt Heidinger; Wendy R Hood; Tonia S Schwartz
Journal:  Proc Biol Sci       Date:  2022-02-23       Impact factor: 5.530

3.  The untapped potential of reptile biodiversity for understanding how and why animals age.

Authors:  Luke A Hoekstra; Tonia S Schwartz; Amanda M Sparkman; David A W Miller; Anne M Bronikowski
Journal:  Funct Ecol       Date:  2019-09-09       Impact factor: 5.608

4.  Gene expression of the IGF hormones and IGF binding proteins across time and tissues in a model reptile.

Authors:  Abby E Beatty; Tonia S Schwartz
Journal:  Physiol Genomics       Date:  2020-08-10       Impact factor: 3.107

5.  The microbiota influences the Drosophila melanogaster life history strategy.

Authors:  Amber W Walters; Rachel C Hughes; Tanner B Call; Carson J Walker; Hailey Wilcox; Samara C Petersen; Seth M Rudman; Peter D Newell; Angela E Douglas; Paul S Schmidt; John M Chaston
Journal:  Mol Ecol       Date:  2020-01-03       Impact factor: 6.185

6.  Species and population specific gene expression in blood transcriptomes of marine turtles.

Authors:  Shreya M Banerjee; Jamie Adkins Stoll; Camryn D Allen; Jennifer M Lynch; Heather S Harris; Lauren Kenyon; Richard E Connon; Eleanor J Sterling; Eugenia Naro-Maciel; Kathryn McFadden; Margaret M Lamont; James Benge; Nadia B Fernandez; Jeffrey A Seminoff; Scott R Benson; Rebecca L Lewison; Tomoharu Eguchi; Tammy M Summers; Jessy R Hapdei; Marc R Rice; Summer Martin; T Todd Jones; Peter H Dutton; George H Balazs; Lisa M Komoroske
Journal:  BMC Genomics       Date:  2021-05-13       Impact factor: 3.969

7.  Multi-species comparisons of snakes identify coordinated signalling networks underlying post-feeding intestinal regeneration.

Authors:  Blair W Perry; Audra L Andrew; Abu Hena Mostafa Kamal; Daren C Card; Drew R Schield; Giulia I M Pasquesi; Mark W Pellegrino; Stephen P Mackessy; Saiful M Chowdhury; Stephen M Secor; Todd A Castoe
Journal:  Proc Biol Sci       Date:  2019-07-10       Impact factor: 5.530

8.  Molecular Evolution of Drosophila Germline Stem Cell and Neural Stem Cell Regulating Genes.

Authors:  Jae Young Choi; Charles F Aquadro
Journal:  Genome Biol Evol       Date:  2015-10-27       Impact factor: 3.416

9.  Gene Turnover and Diversification of the α- and β-Globin Gene Families in Sauropsid Vertebrates.

Authors:  Federico G Hoffmann; Michael W Vandewege; Jay F Storz; Juan C Opazo
Journal:  Genome Biol Evol       Date:  2018-01-01       Impact factor: 3.416

10.  Variation and evolution of polyadenylation profiles in sauropsid mitochondrial mRNAs as deduced from the high-throughput RNA sequencing.

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Journal:  BMC Genomics       Date:  2017-08-29       Impact factor: 3.969

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