Source:http://linkedlifedata.com/resource/pubmed/id/20497156
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
1
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pubmed:dateCreated |
2011-1-11
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pubmed:abstractText |
Genetic structure and relationship amongst the main goat populations in Sicily (Girgentana, Derivata di Siria, Maltese and Messinese) were analysed using information from 19 microsatellite markers genotyped on 173 individuals. A posterior Bayesian approach implemented in the program STRUCTURE revealed a hierarchical structure with two clusters at the first level (Girgentana vs. Messinese, Derivata di Siria and Maltese), explaining 4.8% of variation (amova?(ST) estimate). Seven clusters nested within these first two clusters (further differentiations of Girgentana, Derivata di Siria and Maltese), explaining 8.5% of variation (amova?(SC) estimate). The analyses and methods applied in this study indicate their power to detect subtle population structure.
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pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Feb
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pubmed:issn |
1365-2052
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pubmed:author | |
pubmed:copyrightInfo |
© 2010 The Authors, Animal Genetics © 2010 Stichting International Foundation for Animal Genetics.
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pubmed:issnType |
Electronic
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pubmed:volume |
42
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
93-5
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pubmed:meshHeading | |
pubmed:year |
2011
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pubmed:articleTitle |
Hierarchical structure of the Sicilian goats revealed by Bayesian analyses of microsatellite information.
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pubmed:affiliation |
Department SEnFiMiZo, University of Palermo, Viale delle Scienze Parco d'Orleans 90128 Palermo, Italy. siwek@utp.edu.pl
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
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