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dc.contributor.authorAinali, C
dc.contributor.authorSimon, M
dc.contributor.authorFreilich, S
dc.contributor.authorEspinosa, O
dc.contributor.authorHazelwood, L
dc.contributor.authorTsoka, S
dc.contributor.authorOuzounis, CA
dc.contributor.authorHancock, JM
dc.date.accessioned2018-08-13T14:31:53Z
dc.date.issued2011-05-25
dc.identifier.citationBMC EVOLUTIONARY BIOLOGY, 2011, 11
dc.identifier.issn1471-2148
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/2329
dc.identifier.doi10.1186/1471-2148-11-142
dc.description.abstract<jats:title>Abstract</jats:title> <jats:sec> <jats:title>Background</jats:title> <jats:p>Cellular ATP levels are generated by glucose-stimulated mitochondrial metabolism and determine metabolic responses, such as glucose-stimulated insulin secretion (GSIS) from the β-cells of pancreatic islets. We describe an analysis of the evolutionary processes affecting the core enzymes involved in glucose-stimulated insulin secretion in mammals. The proteins involved in this system belong to ancient enzymatic pathways: glycolysis, the TCA cycle and oxidative phosphorylation.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>We identify two sets of proteins, or protein coalitions, in this group of 77 enzymes with distinct evolutionary patterns. Members of the glycolysis, TCA cycle, metabolite transport, pyruvate and NADH shuttles have low rates of protein sequence evolution, as inferred from a human-mouse comparison, and relatively high rates of evolutionary gene duplication. Respiratory chain and glutathione pathway proteins evolve faster, exhibiting lower rates of gene duplication. A small number of proteins in the system evolve significantly faster than co-pathway members and may serve as rapidly evolving adapters, linking groups of co-evolving genes.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusions</jats:title> <jats:p>Our results provide insights into the evolution of the involved proteins. We find evidence for two coalitions of proteins and the role of co-adaptation in protein evolution is identified and could be used in future research within a functional context.</jats:p> </jats:sec>
dc.languageeng
dc.language.isoeng
dc.publisherSpringer Science and Business Media LLC
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleProtein coalitions in a core mammalian biochemical network linked by rapidly evolving proteins
dc.typeJournal Article
rioxxterms.versionofrecord10.1186/1471-2148-11-142
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2011-05-25
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfBMC EVOLUTIONARY BIOLOGY
pubs.notesaffiliation: Ouzounis, CA (Reprint Author), Kings Coll London, Sch Nat & Math Sci, Dept Informat, Ctr Bioinformat, London WC2R 2LS, England. Ainali, Chrysanthi; Tsoka, Sophia; Ouzounis, Christos A., Kings Coll London, Sch Nat & Math Sci, Dept Informat, Ctr Bioinformat, London WC2R 2LS, England. Simon, Michelle; Espinosa, Octavio; Hazelwood, Lee; Hancock, John M., MRC Harwell, Bioinformat Grp, Didcot OX11 0RD, Oxon, England. Freilich, Shiri, Tel Aviv Univ, Blavatnik Sch Comp Sci, IL-69978 Ramat Aviv, Israel. Freilich, Shiri, Tel Aviv Univ, Sackler Sch Med, IL-69978 Ramat Aviv, Israel. Espinosa, Octavio, Univ Oxford, Dept Biochem, Oxford OX1 3QU, England. Espinosa, Octavio, Inst Canc Res, Chester Beatty Labs, London SW3 6JB, England. Ouzounis, Christos A., Ctr Res & Technol Hellas CERTH, Inst Agrobiotechnol, Computat Genom Unit, GR-57001 Thessaloniki, Greece. article-number: 142 keywords-plus: PHYLOGENETIC ANALYSIS; COMPUTATIONAL GENOMICS; INVERSE RELATIONSHIP; MITOCHONDRIAL GENES; EVOLUTIONARY RATE; DATA ENVIRONMENT; DUPLICATE; FAMILIES; DATABASE; PRESERVATION research-areas: Evolutionary Biology; Genetics & Heredity web-of-science-categories: Evolutionary Biology; Genetics & Heredity author-email: [email protected] [email protected] researcherid-numbers: Ouzounis, Christos/G-2302-2010 Hancock, John/A-2442-2009 orcid-numbers: Hancock, John/0000-0003-2991-2217 Tsoka, Sophia/0000-0001-8403-1282 funding-acknowledgement: EU [LSHG-CT-2005-518254]; UK Medical Research Council; Medical Research Council [MC_U142684171] funding-text: The authors thank EU-funded Enfin Network of Excellence (contract no LSHG-CT-2005-518254) and the UK Medical Research Council for financial support. number-of-cited-references: 47 times-cited: 2 usage-count-last-180-days: 0 usage-count-since-2013: 3 journal-iso: BMC Evol. Biol. doc-delivery-number: 775QF unique-id: ISI:000291476300001 oa: gold da: 2018-08-13
pubs.notesNot known
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Therapeutics
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Therapeutics/Computational Biology and Chemogenomics
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Therapeutics
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Therapeutics/Computational Biology and Chemogenomics
pubs.volume11
pubs.embargo.termsNot known
icr.researchteamComputational Biology and Chemogenomics
dc.contributor.icrauthorEspinosa, Octavio


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