A spatial analysis method (SAM) to detect candidate loci for selection: Towards a landscape genomics approach to adaptation

Molecular Ecology

Volumn 16, Issue 18, 2007, Pages 3955-3969

  Joost, S ^a,b   Bonin, A ^c   Bruford, M W ^d   Despres L ^c   Conord, C ^c   Erhardt, G ^e   Taberlet, P ^c,f  

^a UNIVERSITÀ CATTOLICA DEL SACRO CUORE   (Italy)

^b EPFL   (Switzerland)

^c UNIVERSITÉ JOSEPH FOURIER   (France)

^d CARDIFF UNIVERSITY   (United Kingdom)

^e JUSTUS LIEBIG UNIVERSITY   (Germany)

^f ECONOGENE Consortium ^*

Author keywords

AFLP; GIS; Landscape genomics; Local adaptation; Microsatellites; Natural selection; Spatial analysis

Indexed keywords

MICROSATELLITE DNA;

ADAPTATION; ANIMAL; ARTICLE; DNA SEQUENCE; EVALUATION; GENE FREQUENCY; GENETIC MARKER; GENETIC POLYMORPHISM; GENETIC SELECTION; GENETICS; GENOMICS; GEOGRAPHIC INFORMATION SYSTEM; METHODOLOGY; REGRESSION ANALYSIS; SHEEP; WEEVIL;

ADAPTATION, BIOLOGICAL; ANIMALS; GENE FREQUENCY; GENETIC MARKERS; GENOMICS; GEOGRAPHIC INFORMATION SYSTEMS; MICROSATELLITE REPEATS; POLYMORPHISM, GENETIC; REGRESSION ANALYSIS; SELECTION (GENETICS); SEQUENCE ANALYSIS, DNA; SHEEP; WEEVILS;

CURCULIONIDAE; OVIS ARIES;

EID: 34548587106     PISSN: 09621083     EISSN: 1365294X     Source Type: Journal    
DOI: 10.1111/j.1365-294X.2007.03442.x     Document Type: Article

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