Literature DB >> 19684274

Mapping quantitative trait loci for feed consumption and feeding behaviors in a White Duroc x Chinese Erhualian resource population.

Z Y Zhang1, J Ren, D R Ren, J W Ma, Y M Guo, L S Huang.   

Abstract

To identify QTL for feed consumption and feeding behavior traits in pigs, ADFI, feed conversion ratio (FCR), number of visits to the feeder per day (NVD), and average feeding rate (AFR) were recorded in 577 F(2) animals from a White Duroc x Chinese Erhualian resource population during the fattening period of 120 to 240 d. A whole genome scan was performed with 183 microsatellites covering the pig genome across the entire resource population. A total of 8 QTL were identified on 5 pig chromosomes, including 3 genome-wide significant QTL for FCR on SSC2, 7, and 9, 1 significant QTL for ADFI on SSC3, and 1 for NVD on SSC7. These QTL were identified for the first time, except for the QTL for FCR on SSC2. Four of the 5 significant QTL were adjacent to the known QTL for growth, carcass, and fat deposition traits, supporting the existence of gene(s) with pleiotropic effects on these traits. White Duroc alleles were generally associated with greater phenotypic values, except for those on SSC7 and 9. Comparison of QTL for feed consumption and feeding behaviors indicated that distinct chromosomes had effects on the 2 types of traits. Characterization of causative gene(s) underlying the identified QTL would shed new light on the genetic basis of feed consumption and feeding behaviors in pigs.

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Year:  2009        PMID: 19684274     DOI: 10.2527/jas.2008-1694

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  9 in total

1.  Genetics of fat tissue accumulation in pigs: a comparative approach.

Authors:  M Switonski; M Stachowiak; J Cieslak; M Bartz; M Grzes
Journal:  J Appl Genet       Date:  2010       Impact factor: 3.240

2.  An imputed whole-genome sequence-based GWAS approach pinpoints causal mutations for complex traits in a specific swine population.

Authors:  Guorong Yan; Xianxian Liu; Shijun Xiao; Wenshui Xin; Wenwu Xu; Yiping Li; Tao Huang; Jiangtao Qin; Lei Xie; Junwu Ma; Zhiyan Zhang; Lusheng Huang
Journal:  Sci China Life Sci       Date:  2021-08-11       Impact factor: 6.038

Review 3.  Mining the pig genome to investigate the domestication process.

Authors:  S E Ramos-Onsins; W Burgos-Paz; A Manunza; M Amills
Journal:  Heredity (Edinb)       Date:  2014-07-30       Impact factor: 3.821

4.  Novel insight into the genomic architecture of feed and nitrogen efficiency measured by residual energy intake and nitrogen excretion in growing pigs.

Authors:  Mahmoud Shirali; Carol-Anne Duthie; Andrea Doeschl-Wilson; Pieter W Knap; Egbert Kanis; Johan A M van Arendonk; Rainer Roehe
Journal:  BMC Genet       Date:  2013-12-20       Impact factor: 2.797

5.  Proteomic analysis indicates that mitochondrial energy metabolism in skeletal muscle tissue is negatively correlated with feed efficiency in pigs.

Authors:  Liangliang Fu; Yueyuan Xu; Ye Hou; Xiaolong Qi; Lian Zhou; Huiying Liu; Yu Luan; Lu Jing; Yuanxin Miao; Shuhong Zhao; Huazhen Liu; Xinyun Li
Journal:  Sci Rep       Date:  2017-03-27       Impact factor: 4.379

6.  Consequences of Epistasis on Growth in an Erhualian × White Duroc Pig Cross.

Authors:  Lucy Crooks; Yuanmei Guo
Journal:  PLoS One       Date:  2017-01-06       Impact factor: 3.240

7.  Transcriptome analysis of mRNA and miRNA in skeletal muscle indicates an important network for differential Residual Feed Intake in pigs.

Authors:  Lu Jing; Ye Hou; Hui Wu; Yuanxin Miao; Xinyun Li; Jianhua Cao; John Michael Brameld; Tim Parr; Shuhong Zhao
Journal:  Sci Rep       Date:  2015-07-07       Impact factor: 4.379

8.  A Transcriptome Analysis Identifies Biological Pathways and Candidate Genes for Feed Efficiency in DLY Pigs.

Authors:  Xingwang Wang; Shaoyun Li; Jie Wu; Rongrong Ding; Jianping Quan; Enqin Zheng; Jie Yang; Zhenfang Wu
Journal:  Genes (Basel)       Date:  2019-09-18       Impact factor: 4.096

9.  Identification of Important Proteins and Pathways Affecting Feed Efficiency in DLY Pigs by iTRAQ-Based Proteomic Analysis.

Authors:  Jie Wu; Xingwang Wang; Rongrong Ding; Jianping Quan; Yong Ye; Ting Gu; Zheng Xu; Enqin Zheng; Gengyuan Cai; Zhenfang Wu; Ming Yang; Jie Yang
Journal:  Animals (Basel)       Date:  2020-01-22       Impact factor: 2.752

  9 in total

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