Matches in SemOpenAlex for { <https://semopenalex.org/work/W2144524269> ?p ?o ?g. }
- W2144524269 endingPage "278" @default.
- W2144524269 startingPage "267" @default.
- W2144524269 abstract "MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 301:267-278 (2005) - doi:10.3354/meps301267 Macro- and micro-geographic variation in pantophysin (PanI) allele frequencies in NE Atlantic cod Gadus morhua R. A. J. Case1,*, W. F. Hutchinson1, L. Hauser2, C. Van Oosterhout1, G. R. Carvalho1 1Molecular Ecology and Fisheries Genetics Laboratory, Department of Biological Sciences, University of Hull, Hull HU6 7RX, UK2School of Aquatic and Fishery Sciences, University of Washington, Box 355020, Seattle, Washington 98195-5020, USA *Email: r.a.case@biosci.hull.ac.uk ABSTRACT: Using samples of Atlantic cod Gadus morhua L. from the North Sea, and previously published genetic data from the Irish and Celtic Seas, Iceland, and Norwegian fjord and offshore populations, we describe striking macro- and micro-geographic patterns in pantophysin (PanI) allele frequencies. The relatively abrupt discontinuity in PanI allele frequency distribution at 2 different locations is not congruent with standard patterns of isolation by distance and could arise from population admixtures, historical or contemporary natural selection, behavioural segregation or a combination of these factors. Here, we examined the relationships between the distributions of PanI alleles and temperature, salinity and depth. In the northeast Atlantic, temperature was highly correlated with PanI allele frequency, even when the effect of geographic distance was removed. In the Norwegian fjords, partial Mantel tests indicated that temperature, salinity and depth all had a significant effect on PanI allele frequency in juvenile fish. However, a sample from the brackish waters of the eastern Baltic Sea suggested that salinity may be linked to PanI allele frequency distribution and that the relationship with temperature was weaker in areas of low salinity. Strong correlations between PanI allele frequencies and key environmental variables, together with evidence from the available literature, suggested that environmental conditions play an important role in determining the distribution of different PanI genotypes. The combined use of environmental data, PanI genotyping and neutral markers may provide a valuable approach to examine local adaptation, levels of gene flow and stock structuring. KEY WORDS: Cod · Gadus morhua · Pantophysin · Natural selection · Cline Full text in pdf format PreviousNextExport citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 301. Online publication date: October 11, 2005 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2005 Inter-Research." @default.
- W2144524269 created "2016-06-24" @default.
- W2144524269 creator A5002644940 @default.
- W2144524269 creator A5026142664 @default.
- W2144524269 creator A5048872491 @default.
- W2144524269 creator A5072018988 @default.
- W2144524269 creator A5082875868 @default.
- W2144524269 date "2005-01-01" @default.
- W2144524269 modified "2023-10-05" @default.
- W2144524269 title "Macro- and micro-geographic variation in pantophysin (PanI) allele frequencies in NE Atlantic cod Gadus morhua" @default.
- W2144524269 cites W1707586213 @default.
- W2144524269 cites W1768241946 @default.
- W2144524269 cites W1827525950 @default.
- W2144524269 cites W1912547108 @default.
- W2144524269 cites W1955324140 @default.
- W2144524269 cites W1964727805 @default.
- W2144524269 cites W1965468893 @default.
- W2144524269 cites W1965862667 @default.
- W2144524269 cites W1971313627 @default.
- W2144524269 cites W1972313692 @default.
- W2144524269 cites W1982599952 @default.
- W2144524269 cites W1991461611 @default.
- W2144524269 cites W1994868767 @default.
- W2144524269 cites W1995831169 @default.
- W2144524269 cites W2000810239 @default.
- W2144524269 cites W2002351229 @default.
- W2144524269 cites W2017211056 @default.
- W2144524269 cites W2017425728 @default.
- W2144524269 cites W2019968569 @default.
- W2144524269 cites W2023221353 @default.
- W2144524269 cites W2035459775 @default.
- W2144524269 cites W2037985191 @default.
- W2144524269 cites W2044647014 @default.
- W2144524269 cites W2052550780 @default.
- W2144524269 cites W2054737774 @default.
- W2144524269 cites W2056029508 @default.
- W2144524269 cites W2061999006 @default.
- W2144524269 cites W2064690831 @default.
- W2144524269 cites W2065511339 @default.
- W2144524269 cites W2073348851 @default.
- W2144524269 cites W2077179244 @default.
- W2144524269 cites W2078741606 @default.
- W2144524269 cites W2079497438 @default.
- W2144524269 cites W2087590007 @default.
- W2144524269 cites W2087709992 @default.
- W2144524269 cites W2094710571 @default.
- W2144524269 cites W2104465908 @default.
- W2144524269 cites W2112348586 @default.
- W2144524269 cites W2115461645 @default.
- W2144524269 cites W2117269921 @default.
- W2144524269 cites W2123402588 @default.
- W2144524269 cites W2138221208 @default.
- W2144524269 cites W2140189361 @default.
- W2144524269 cites W2145405384 @default.
- W2144524269 cites W2156358911 @default.
- W2144524269 cites W2161942150 @default.
- W2144524269 cites W2163189051 @default.
- W2144524269 cites W2163424166 @default.
- W2144524269 cites W2165488287 @default.
- W2144524269 cites W2168114634 @default.
- W2144524269 cites W2172126720 @default.
- W2144524269 cites W2189272102 @default.
- W2144524269 cites W2316445051 @default.
- W2144524269 cites W2327108640 @default.
- W2144524269 cites W2798085268 @default.
- W2144524269 cites W82709496 @default.
- W2144524269 doi "https://doi.org/10.3354/meps301267" @default.
- W2144524269 hasPublicationYear "2005" @default.
- W2144524269 type Work @default.
- W2144524269 sameAs 2144524269 @default.
- W2144524269 citedByCount "88" @default.
- W2144524269 countsByYear W21445242692012 @default.
- W2144524269 countsByYear W21445242692013 @default.
- W2144524269 countsByYear W21445242692014 @default.
- W2144524269 countsByYear W21445242692015 @default.
- W2144524269 countsByYear W21445242692016 @default.
- W2144524269 countsByYear W21445242692017 @default.
- W2144524269 countsByYear W21445242692018 @default.
- W2144524269 countsByYear W21445242692019 @default.
- W2144524269 countsByYear W21445242692020 @default.
- W2144524269 countsByYear W21445242692021 @default.
- W2144524269 countsByYear W21445242692022 @default.
- W2144524269 countsByYear W21445242692023 @default.
- W2144524269 crossrefType "journal-article" @default.
- W2144524269 hasAuthorship W2144524269A5002644940 @default.
- W2144524269 hasAuthorship W2144524269A5026142664 @default.
- W2144524269 hasAuthorship W2144524269A5048872491 @default.
- W2144524269 hasAuthorship W2144524269A5072018988 @default.
- W2144524269 hasAuthorship W2144524269A5082875868 @default.
- W2144524269 hasBestOaLocation W21445242691 @default.
- W2144524269 hasConcept C104317684 @default.
- W2144524269 hasConcept C111368507 @default.
- W2144524269 hasConcept C127313418 @default.
- W2144524269 hasConcept C135310875 @default.
- W2144524269 hasConcept C144024400 @default.
- W2144524269 hasConcept C149923435 @default.
- W2144524269 hasConcept C180754005 @default.
- W2144524269 hasConcept C18903297 @default.