Literature DB >> 18577610

Fine-mapping quantitative trait loci for body weight and abdominal fat traits: effects of marker density and sample size.

X Liu1, H Zhang, H Li, N Li, Y Zhang, Q Zhang, S Wang, Q Wang, H Wang.   

Abstract

Highly significant QTL for BW and abdominal fat traits on chicken chromosome 1 were reported previously in a unique F2 population. The objective of this study was to confirm and refine the QTL locations. Compared with the previous experiment, this study added 8 new families, including all the animals in the pedigree, and genotyped 9 more microsatellite markers, including 6 novel ones. Linkage analyses were performed. The results of the linkage analyses showed that the confidence intervals for BW and abdominal fat percentage were narrowed sharply to a small interval spanning 5.5 and 3.7 Mb, respectively. The results of the present study showed that using more markers and individuals could decrease the confidence interval of QTL effectively. In the current QTL region, by combining the biological knowledge of genes and the results of a microarray analysis that was performed in divergently selected lean and fat lines, several genes stood out as potential candidate genes.

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Year:  2008        PMID: 18577610     DOI: 10.3382/ps.2007-00512

Source DB:  PubMed          Journal:  Poult Sci        ISSN: 0032-5791            Impact factor:   3.352


  14 in total

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2.  Analysis of four complete linkage sequence variants within a novel lncRNA located in a growth QTL on chromosome 1 related to growth traits in chickens.

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Journal:  J Anim Sci       Date:  2020-05-01       Impact factor: 3.159

3.  A genome-wide scan of selective sweeps in two broiler chicken lines divergently selected for abdominal fat content.

Authors:  Hui Zhang; Shou-Zhi Wang; Zhi-Peng Wang; Yang Da; Ning Wang; Xiao-Xiang Hu; Yuan-Dan Zhang; Yu-Xiang Wang; Li Leng; Zhi-Quan Tang; Hui Li
Journal:  BMC Genomics       Date:  2012-12-15       Impact factor: 3.969

4.  Mapping 49 quantitative trait loci at high resolution through sequencing-based genotyping of rice recombinant inbred lines.

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Journal:  Theor Appl Genet       Date:  2010-09-28       Impact factor: 5.699

5.  Genome-wide association study identified a narrow chromosome 1 region associated with chicken growth traits.

Authors:  Liang Xie; Chenglong Luo; Chengguang Zhang; Rong Zhang; Jun Tang; Qinghua Nie; Li Ma; Xiaoxiang Hu; Ning Li; Yang Da; Xiquan Zhang
Journal:  PLoS One       Date:  2012-02-16       Impact factor: 3.240

6.  Mapping QTL for Seed Germinability under Low Temperature Using a New High-Density Genetic Map of Rice.

Authors:  Ningfei Jiang; Shilai Shi; Huan Shi; Hira Khanzada; Ghulam M Wassan; Changlan Zhu; Xiaosong Peng; Qiuying Yu; Xiaorong Chen; Xiaopeng He; Junru Fu; Lifang Hu; Jie Xu; Linjuan Ouyang; Xiaotang Sun; Dahu Zhou; Haohua He; Jianmin Bian
Journal:  Front Plant Sci       Date:  2017-07-12       Impact factor: 5.753

7.  Identification of QTLs involved in cold tolerance during the germination and bud stages of rice (Oryza sativa L.) via a high-density genetic map.

Authors:  Jing Yang; Dandan Li; Hong Liu; Yongzhu Liu; Ming Huang; Hui Wang; Zhiqiang Chen; Tao Guo
Journal:  Breed Sci       Date:  2020-04-25       Impact factor: 2.086

8.  Identification of stable QTLs and candidate genes involved in anaerobic germination tolerance in rice via high-density genetic mapping and RNA-Seq.

Authors:  Jing Yang; Kai Sun; Dongxiu Li; Lixin Luo; Yongzhu Liu; Ming Huang; Guili Yang; Hong Liu; Hui Wang; Zhiqiang Chen; Tao Guo
Journal:  BMC Genomics       Date:  2019-05-09       Impact factor: 3.969

9.  Overview of Genomic Insights into Chicken Growth Traits Based on Genome-Wide Association Study and microRNA Regulation.

Authors:  Zhenqiang Xu; Qinghua Nie; Xiquan Zhang
Journal:  Curr Genomics       Date:  2013-04       Impact factor: 2.236

10.  Identification of the causative gene for Simmental arachnomelia syndrome using a network-based disease gene prioritization approach.

Authors:  Shihui Jiao; Qin Chu; Yachun Wang; Zhenquan Xie; Shiyu Hou; Airong Liu; Hongjun Wu; Lin Liu; Fanjun Geng; Congyong Wang; Chunhua Qin; Rui Tan; Xixia Huang; Shixin Tan; Meng Wu; Xianzhou Xu; Xuan Liu; Ying Yu; Yuan Zhang
Journal:  PLoS One       Date:  2013-05-16       Impact factor: 3.240

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