Cargando…

Genome-wide association study and accuracy of genomic prediction for teat number in Duroc pigs using genotyping-by-sequencing

BACKGROUND: The number of teats in pigs is related to a sow’s ability to rear piglets to weaning age. Several studies have identified genes and genomic regions that affect teat number in swine but few common results were reported. The objective of this study was to identify genetic factors that affe...

Descripción completa

Detalles Bibliográficos
Autores principales: Tan, Cheng, Wu, Zhenfang, Ren, Jiangli, Huang, Zhuolin, Liu, Dewu, He, Xiaoyan, Prakapenka, Dzianis, Zhang, Ran, Li, Ning, Da, Yang, Hu, Xiaoxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5371258/
https://www.ncbi.nlm.nih.gov/pubmed/28356075
http://dx.doi.org/10.1186/s12711-017-0311-8
_version_ 1782518384959684608
author Tan, Cheng
Wu, Zhenfang
Ren, Jiangli
Huang, Zhuolin
Liu, Dewu
He, Xiaoyan
Prakapenka, Dzianis
Zhang, Ran
Li, Ning
Da, Yang
Hu, Xiaoxiang
author_facet Tan, Cheng
Wu, Zhenfang
Ren, Jiangli
Huang, Zhuolin
Liu, Dewu
He, Xiaoyan
Prakapenka, Dzianis
Zhang, Ran
Li, Ning
Da, Yang
Hu, Xiaoxiang
author_sort Tan, Cheng
collection PubMed
description BACKGROUND: The number of teats in pigs is related to a sow’s ability to rear piglets to weaning age. Several studies have identified genes and genomic regions that affect teat number in swine but few common results were reported. The objective of this study was to identify genetic factors that affect teat number in pigs, evaluate the accuracy of genomic prediction, and evaluate the contribution of significant genes and genomic regions to genomic broad-sense heritability and prediction accuracy using 41,108 autosomal single nucleotide polymorphisms (SNPs) from genotyping-by-sequencing on 2936 Duroc boars. RESULTS: Narrow-sense heritability and dominance heritability of teat number estimated by genomic restricted maximum likelihood were 0.365 ± 0.030 and 0.035 ± 0.019, respectively. The accuracy of genomic predictions, calculated as the average correlation between the genomic best linear unbiased prediction and phenotype in a tenfold validation study, was 0.437 ± 0.064 for the model with additive and dominance effects and 0.435 ± 0.064 for the model with additive effects only. Genome-wide association studies (GWAS) using three methods of analysis identified 85 significant SNP effects for teat number on chromosomes 1, 6, 7, 10, 11, 12 and 14. The region between 102.9 and 106.0 Mb on chromosome 7, which was reported in several studies, had the most significant SNP effects in or near the PTGR2, FAM161B, LIN52, VRTN, FCF1, AREL1 and LRRC74A genes. This region accounted for 10.0% of the genomic additive heritability and 8.0% of the accuracy of prediction. The second most significant chromosome region not reported by previous GWAS was the region between 77.7 and 79.7 Mb on chromosome 11, where SNPs in the FGF14 gene had the most significant effect and accounted for 5.1% of the genomic additive heritability and 5.2% of the accuracy of prediction. The 85 significant SNPs accounted for 28.5 to 28.8% of the genomic additive heritability and 35.8 to 36.8% of the accuracy of prediction. CONCLUSIONS: The three methods used for the GWAS identified 85 significant SNPs with additive effects on teat number, including SNPs in a previously reported chromosomal region and SNPs in novel chromosomal regions. Most significant SNPs with larger estimated effects also had larger contributions to the total genomic heritability and accuracy of prediction than other SNPs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12711-017-0311-8) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5371258
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-53712582017-03-30 Genome-wide association study and accuracy of genomic prediction for teat number in Duroc pigs using genotyping-by-sequencing Tan, Cheng Wu, Zhenfang Ren, Jiangli Huang, Zhuolin Liu, Dewu He, Xiaoyan Prakapenka, Dzianis Zhang, Ran Li, Ning Da, Yang Hu, Xiaoxiang Genet Sel Evol Research Article BACKGROUND: The number of teats in pigs is related to a sow’s ability to rear piglets to weaning age. Several studies have identified genes and genomic regions that affect teat number in swine but few common results were reported. The objective of this study was to identify genetic factors that affect teat number in pigs, evaluate the accuracy of genomic prediction, and evaluate the contribution of significant genes and genomic regions to genomic broad-sense heritability and prediction accuracy using 41,108 autosomal single nucleotide polymorphisms (SNPs) from genotyping-by-sequencing on 2936 Duroc boars. RESULTS: Narrow-sense heritability and dominance heritability of teat number estimated by genomic restricted maximum likelihood were 0.365 ± 0.030 and 0.035 ± 0.019, respectively. The accuracy of genomic predictions, calculated as the average correlation between the genomic best linear unbiased prediction and phenotype in a tenfold validation study, was 0.437 ± 0.064 for the model with additive and dominance effects and 0.435 ± 0.064 for the model with additive effects only. Genome-wide association studies (GWAS) using three methods of analysis identified 85 significant SNP effects for teat number on chromosomes 1, 6, 7, 10, 11, 12 and 14. The region between 102.9 and 106.0 Mb on chromosome 7, which was reported in several studies, had the most significant SNP effects in or near the PTGR2, FAM161B, LIN52, VRTN, FCF1, AREL1 and LRRC74A genes. This region accounted for 10.0% of the genomic additive heritability and 8.0% of the accuracy of prediction. The second most significant chromosome region not reported by previous GWAS was the region between 77.7 and 79.7 Mb on chromosome 11, where SNPs in the FGF14 gene had the most significant effect and accounted for 5.1% of the genomic additive heritability and 5.2% of the accuracy of prediction. The 85 significant SNPs accounted for 28.5 to 28.8% of the genomic additive heritability and 35.8 to 36.8% of the accuracy of prediction. CONCLUSIONS: The three methods used for the GWAS identified 85 significant SNPs with additive effects on teat number, including SNPs in a previously reported chromosomal region and SNPs in novel chromosomal regions. Most significant SNPs with larger estimated effects also had larger contributions to the total genomic heritability and accuracy of prediction than other SNPs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12711-017-0311-8) contains supplementary material, which is available to authorized users. BioMed Central 2017-03-29 /pmc/articles/PMC5371258/ /pubmed/28356075 http://dx.doi.org/10.1186/s12711-017-0311-8 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Tan, Cheng
Wu, Zhenfang
Ren, Jiangli
Huang, Zhuolin
Liu, Dewu
He, Xiaoyan
Prakapenka, Dzianis
Zhang, Ran
Li, Ning
Da, Yang
Hu, Xiaoxiang
Genome-wide association study and accuracy of genomic prediction for teat number in Duroc pigs using genotyping-by-sequencing
title Genome-wide association study and accuracy of genomic prediction for teat number in Duroc pigs using genotyping-by-sequencing
title_full Genome-wide association study and accuracy of genomic prediction for teat number in Duroc pigs using genotyping-by-sequencing
title_fullStr Genome-wide association study and accuracy of genomic prediction for teat number in Duroc pigs using genotyping-by-sequencing
title_full_unstemmed Genome-wide association study and accuracy of genomic prediction for teat number in Duroc pigs using genotyping-by-sequencing
title_short Genome-wide association study and accuracy of genomic prediction for teat number in Duroc pigs using genotyping-by-sequencing
title_sort genome-wide association study and accuracy of genomic prediction for teat number in duroc pigs using genotyping-by-sequencing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5371258/
https://www.ncbi.nlm.nih.gov/pubmed/28356075
http://dx.doi.org/10.1186/s12711-017-0311-8
work_keys_str_mv AT tancheng genomewideassociationstudyandaccuracyofgenomicpredictionforteatnumberindurocpigsusinggenotypingbysequencing
AT wuzhenfang genomewideassociationstudyandaccuracyofgenomicpredictionforteatnumberindurocpigsusinggenotypingbysequencing
AT renjiangli genomewideassociationstudyandaccuracyofgenomicpredictionforteatnumberindurocpigsusinggenotypingbysequencing
AT huangzhuolin genomewideassociationstudyandaccuracyofgenomicpredictionforteatnumberindurocpigsusinggenotypingbysequencing
AT liudewu genomewideassociationstudyandaccuracyofgenomicpredictionforteatnumberindurocpigsusinggenotypingbysequencing
AT hexiaoyan genomewideassociationstudyandaccuracyofgenomicpredictionforteatnumberindurocpigsusinggenotypingbysequencing
AT prakapenkadzianis genomewideassociationstudyandaccuracyofgenomicpredictionforteatnumberindurocpigsusinggenotypingbysequencing
AT zhangran genomewideassociationstudyandaccuracyofgenomicpredictionforteatnumberindurocpigsusinggenotypingbysequencing
AT lining genomewideassociationstudyandaccuracyofgenomicpredictionforteatnumberindurocpigsusinggenotypingbysequencing
AT dayang genomewideassociationstudyandaccuracyofgenomicpredictionforteatnumberindurocpigsusinggenotypingbysequencing
AT huxiaoxiang genomewideassociationstudyandaccuracyofgenomicpredictionforteatnumberindurocpigsusinggenotypingbysequencing