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Detection of quantitative trait loci affecting haematological traits in swine via genome scanning
BACKGROUND: Haematological traits, which consist of mainly three components: leukocyte traits, erythrocyte traits and platelet traits, play extremely important role in animal immune function and disease resistance. But knowledge of the genetic background controlling variability of these traits is ve...
Autores principales: | , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2906409/ https://www.ncbi.nlm.nih.gov/pubmed/20584270 http://dx.doi.org/10.1186/1471-2156-11-56 |
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author | Gong, Yuan-Fang Lu, Xin Wang, Zhi-Peng Hu, Fang Luo, Yan-Ru Cai, Shao-Qian Qi, Chun-Mei Li, Shan Niu, Xiao-Yan Qiu, Xiao-Tian Zeng, Jian Zhang, Qin |
author_facet | Gong, Yuan-Fang Lu, Xin Wang, Zhi-Peng Hu, Fang Luo, Yan-Ru Cai, Shao-Qian Qi, Chun-Mei Li, Shan Niu, Xiao-Yan Qiu, Xiao-Tian Zeng, Jian Zhang, Qin |
author_sort | Gong, Yuan-Fang |
collection | PubMed |
description | BACKGROUND: Haematological traits, which consist of mainly three components: leukocyte traits, erythrocyte traits and platelet traits, play extremely important role in animal immune function and disease resistance. But knowledge of the genetic background controlling variability of these traits is very limited, especially in swine. RESULTS: In the present study, 18 haematological traits (7 leukocyte traits, 7 erythrocyte traits and 4 platelet traits) were measured in a pig resource population consisting of 368 purebred piglets of three breeds (Landrace, Large White and Songliao Black Pig), after inoculation with the swine fever vaccine when the pigs were 21 days old. A whole-genome scan of QTL for these traits was performed using 206 microsatellite markers covering all 18 autosomes and the X chromosome. Using variance component analysis based on a linear mixed model and the false discovery rate (FDR) test, 35 QTL with FDR < 0.10 were identified: 3 for the leukocyte traits, 28 for the erythrocyte traits, and 4 for the platelet traits. Of the 35 QTL, 25 were significant at FDR < 0.05 level, including 9 significant at FDR < 0.01 level. CONCLUSIONS: Very few QTL were previously identified for hematological traits of pigs and never in purebred populations. Most of the QTL detected here, in particular the QTL for the platelet traits, have not been reported before. Our results lay important foundation for identifying the causal genes underlying the hematological trait variations in pigs. |
format | Text |
id | pubmed-2906409 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-29064092010-07-20 Detection of quantitative trait loci affecting haematological traits in swine via genome scanning Gong, Yuan-Fang Lu, Xin Wang, Zhi-Peng Hu, Fang Luo, Yan-Ru Cai, Shao-Qian Qi, Chun-Mei Li, Shan Niu, Xiao-Yan Qiu, Xiao-Tian Zeng, Jian Zhang, Qin BMC Genet Research Article BACKGROUND: Haematological traits, which consist of mainly three components: leukocyte traits, erythrocyte traits and platelet traits, play extremely important role in animal immune function and disease resistance. But knowledge of the genetic background controlling variability of these traits is very limited, especially in swine. RESULTS: In the present study, 18 haematological traits (7 leukocyte traits, 7 erythrocyte traits and 4 platelet traits) were measured in a pig resource population consisting of 368 purebred piglets of three breeds (Landrace, Large White and Songliao Black Pig), after inoculation with the swine fever vaccine when the pigs were 21 days old. A whole-genome scan of QTL for these traits was performed using 206 microsatellite markers covering all 18 autosomes and the X chromosome. Using variance component analysis based on a linear mixed model and the false discovery rate (FDR) test, 35 QTL with FDR < 0.10 were identified: 3 for the leukocyte traits, 28 for the erythrocyte traits, and 4 for the platelet traits. Of the 35 QTL, 25 were significant at FDR < 0.05 level, including 9 significant at FDR < 0.01 level. CONCLUSIONS: Very few QTL were previously identified for hematological traits of pigs and never in purebred populations. Most of the QTL detected here, in particular the QTL for the platelet traits, have not been reported before. Our results lay important foundation for identifying the causal genes underlying the hematological trait variations in pigs. BioMed Central 2010-06-28 /pmc/articles/PMC2906409/ /pubmed/20584270 http://dx.doi.org/10.1186/1471-2156-11-56 Text en Copyright ©2010 Gong et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Gong, Yuan-Fang Lu, Xin Wang, Zhi-Peng Hu, Fang Luo, Yan-Ru Cai, Shao-Qian Qi, Chun-Mei Li, Shan Niu, Xiao-Yan Qiu, Xiao-Tian Zeng, Jian Zhang, Qin Detection of quantitative trait loci affecting haematological traits in swine via genome scanning |
title | Detection of quantitative trait loci affecting haematological traits in swine via genome scanning |
title_full | Detection of quantitative trait loci affecting haematological traits in swine via genome scanning |
title_fullStr | Detection of quantitative trait loci affecting haematological traits in swine via genome scanning |
title_full_unstemmed | Detection of quantitative trait loci affecting haematological traits in swine via genome scanning |
title_short | Detection of quantitative trait loci affecting haematological traits in swine via genome scanning |
title_sort | detection of quantitative trait loci affecting haematological traits in swine via genome scanning |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2906409/ https://www.ncbi.nlm.nih.gov/pubmed/20584270 http://dx.doi.org/10.1186/1471-2156-11-56 |
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