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Title: Composite interval mapping and mixed models reveal QTL associated with performance and carcass traits on chicken chromosomes 1, 3, and 4
Authors: Rosario, M. F. [UNIFESP]
Gazaffi, R.
Moura, A. S. A. M. T.
Ledur, M. C.
Coutinho, Luiz Lehmann
Garcia, A. A. F.
Universidade de São Paulo (USP)
Universidade Federal de São Paulo (UNIFESP)
Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
Keywords: Genetic architecture
Marker assisted selection
Molecular markers
Issue Date: 1-Feb-2014
Publisher: Springer
Citation: Journal of Applied Genetics. Heidelberg: Springer Heidelberg, v. 55, n. 1, p. 97-103, 2014.
Abstract: Interval mapping (IM) implemented in QTL Express or GridQTL is widely used, but presents some limitations, such as restriction to a fixed model, risk of mapping two QTL when there may be only one and no discrimination of two or more QTL using both cofactors located on the same and other chromosomes. These limitations were overcome with composite interval mapping (CIM). We reported QTL associated with performance and carcass traits on chicken chromosomes 1, 3, and 4 through implementation of CIM and analysis of phenotypic data using mixed models. Thirty-four microsatellite markers were used to genotype 360 F-2 chickens from crosses between males from a layer line and females from a broiler line. Sixteen QTL were mapped using CIM and 14 QTL with IM. Furthermore, of those 30 QTL, six were mapped only when CIM was used: for body weight at 35 days (first and third peaks on GGA4), body weight at 41 days (GGA1B and second peak on GGA4), and weights of back and legs (both on GGA4). Three new regions had evidence for QTL presence: one on GGA1B associated with feed intake 35-41 d at 404 cM (LEI0107-ADL0183) and two on GGA4 associated with weight of back at 163 cM (LEI0076-MCW0240) and weight gain 35-41 d, feed efficiency 35-41 d and weight of legs at 241 cM (LEI0085-MCW0174). We dissected one more linked QTL on GGA4, where three QTL for BW35 and two QTL for BW41 were mapped. Therefore, these new regions mapped here need further investigations using high-density SNP to confirm these QTL and identify candidate genes associated with those traits.
ISSN: 1234-1983
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