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dc.contributor.authorMacQueen, Daniel John
dc.contributor.authorGarcia de la Serrana Castillo, Daniel
dc.contributor.authorJohnston, Ian Alistair
dc.date.accessioned2013-02-07T15:01:02Z
dc.date.available2013-02-07T15:01:02Z
dc.date.issued2013-05
dc.identifier.citationMacQueen , D J , Garcia de la Serrana Castillo , D & Johnston , I A 2013 , ' Evolution of ancient functions in the vertebrate insulin-like growth factor system uncovered by study of duplicated salmonid fish genomes ' , Molecular Biology and Evolution , vol. 30 , no. 5 , pp. 1060-1076 . https://doi.org/10.1093/molbev/mst017en
dc.identifier.issn0737-4038
dc.identifier.otherPURE: 45159464
dc.identifier.otherPURE UUID: b8928c8f-4f37-4a51-94af-0369d72950ca
dc.identifier.otherScopus: 84876545729
dc.identifier.otherWOS: 000318165700009
dc.identifier.otherORCID: /0000-0002-7796-5754/work/47136037
dc.identifier.urihttps://hdl.handle.net/10023/3343
dc.descriptionThis work was supported by the Marine Alliance for Science and Technology for Scotland pooling initiative, funded by the Scottish Funding Council (grant number HR09011) and contributing institutions.en
dc.description.abstractWhole genome duplication (WGD) was experienced twice by the vertebrate ancestor (2 rounds; 2R), again by the teleost fish ancestor (3R) and most recently in certain teleost lineages (4R). Consequently, vertebrate gene families are often expanded in 3R and 4R genomes. Arguably, many types of ‘functional divergence’ present across 2R gene families will exceed that between 3R/4R paralogues of genes comprising 2R families. Accordingly, 4R offers a form of replication of 2R. Examining if this concept has implications for molecular evolutionary research, we studied insulin-like growth factor (IGF) binding proteins (IGFBPs), whose six 2R family members carry IGF hormones and regulate interactions between IGFs and IGF1-receptors (IGF1Rs). Using phylogenomic approaches, we resolved the complete IGFBP repertoire of 4R-derived salmonid fishes (nineteen genes; thirteen more than human) and established evolutionary relationships/nomenclature with respect to WGDs. Traits central to IGFBP action were determined for all genes, including atomic interactions in IGFBP-IGF1/IGF2 complexes regulating IGF-IGF1R binding. Using statistical methods, we demonstrate that attributes of these protein interfaces are overwhelming a product of 2R IGFBP family membership, explain 49-68% of variation in IGFBP mRNA concentration in several different tissues and strongly predict the strength and direction of IGFBP transcriptional regulation under differing nutritional-states. The results support a model where vertebrate IGFBP family members evolved divergent structural attributes to provide distinct competition for IGFs with IGF1Rs, pre-disposing different functions in the regulation of IGF-signaling. Evolution of gene expression acted to ensure the appropriate physiological production of IGFBPs according to their structural specializations, leading to optimal IGF-signaling according to nutritional-status and the endocrine/local mode of action. This study demonstrates that relatively recent gene family expansion can facilitate inference of functional evolution within ancient genetic systems.
dc.language.isoeng
dc.relation.ispartofMolecular Biology and Evolutionen
dc.rights© The Author(s) 2013. Published by Oxford University Press on behalf of Molecular Biology and Evolution. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.en
dc.subjectQH301 Biologyen
dc.subject.lccQH301en
dc.titleEvolution of ancient functions in the vertebrate insulin-like growth factor system uncovered by study of duplicated salmonid fish genomesen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. School of Biologyen
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.identifier.doihttps://doi.org/10.1093/molbev/mst017
dc.description.statusPeer revieweden


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