Background:A large number of pig breeds are distributed around the world,their features and characteristics vary among breeds,and they are valuable resources.Understanding the underlying genetic mechanisms that explai...Background:A large number of pig breeds are distributed around the world,their features and characteristics vary among breeds,and they are valuable resources.Understanding the underlying genetic mechanisms that explain across-breed variation can help breeders develop improved pig breeds.Results:In this study,we performed GWAS using a standard mixed linear model with three types of genome variants(SNP,InDel,and CNV)that were identified from public,whole-genome,sequencing data sets.We used 469 pigs of 57 breeds,and we identified and analyzed approximately 19 million SNPs,1.8 million InDels,and 18,016 CNVs.We defined six biological phenotypes by the characteristics of breed features to identify the associated genome variants and candidate genes,which included coat color,ear shape,gradient zone,body weight,body length,and body height.A total of 37 candidate genes was identified,which included 27 that were reported previously(e.g.,PLAG1 for body weight),but the other 10 were newly detected candidate genes(e.g.,ADAMTS9 for coat color).Conclusion:Our study indicated that using GWAS across a modest number of breeds with high density genome variants provided efficient mapping of complex traits.展开更多
To culture new breeds of Guizhou Heima goat, establishing open nucleus br^ding system in farm was adopted to develop comprehensive selection index and establish BLUP model to estimate breeding value, so as to guide as...To culture new breeds of Guizhou Heima goat, establishing open nucleus br^ding system in farm was adopted to develop comprehensive selection index and establish BLUP model to estimate breeding value, so as to guide assortative mating and selection improvement. The results showed that the body weights of yearling ram and ewe in nucleus herd were （29.77± 5.51 ） kg and （25.18 ± 5.67 ） kg, while those of adult ram and adult ewe were （40.08 ± 7.73 ） kg and （ 34.90 ±6.56） kg, respectively; the body weights of yearling ram and ewe in basic herd were （26.59 ±3.68） kg and （24.139 ±4.60） kg, while those of adult ram and adult ewe were （35.33 ± 4.09） kg and （32.16 ± 6.83 ） kg, respectively; the lambing rate was 152.33 % ; the slaughter rate was 48.50%, and the net meat rate was 38.94%. New breeds of Guizhou Heima goat had significantly improved production performance and breed uniformity, with stable genetic performance.展开更多
基金supported by the Key Project of National Natural Science Foundation of China(31790414)the National Natural Science Foundation of China(31702087,31902156,31730089)+1 种基金Fundamental Research Funds for the Central Universities(2662020DKPY007,2662017QD016)the National Swine Industry Technology System(CARS-35).
文摘Background:A large number of pig breeds are distributed around the world,their features and characteristics vary among breeds,and they are valuable resources.Understanding the underlying genetic mechanisms that explain across-breed variation can help breeders develop improved pig breeds.Results:In this study,we performed GWAS using a standard mixed linear model with three types of genome variants(SNP,InDel,and CNV)that were identified from public,whole-genome,sequencing data sets.We used 469 pigs of 57 breeds,and we identified and analyzed approximately 19 million SNPs,1.8 million InDels,and 18,016 CNVs.We defined six biological phenotypes by the characteristics of breed features to identify the associated genome variants and candidate genes,which included coat color,ear shape,gradient zone,body weight,body length,and body height.A total of 37 candidate genes was identified,which included 27 that were reported previously(e.g.,PLAG1 for body weight),but the other 10 were newly detected candidate genes(e.g.,ADAMTS9 for coat color).Conclusion:Our study indicated that using GWAS across a modest number of breeds with high density genome variants provided efficient mapping of complex traits.
基金Supported by Fund for National Agricultural Science and Technology Achievement Transformation(2012GB2F200408)Agricultural Key Science and Technology Project Program of Guizhou Province in 2011(QKH NY[2011]3064)+4 种基金Special Fund Projects for Research Condition Improvement of Highlevel Personnel in Guizhou Province(TZJF-2010-034)Agriculture Animal and Plant Breeding Special of Guizhou Province(QNYZ[2009]019)Agricultural Key Science and Technology Project of Bijie City(BKH[2012]23)Science and Technology Cooperation Project of Science and Technology Department of Guizhou Province,Government of Bijie City and Kunming Branch of Chinese Academy of Science(SDYH 2010-05)Team Building Project for Development of Goat Industry in Bijie Experimental Area(BRLBT[2013]7)
文摘To culture new breeds of Guizhou Heima goat, establishing open nucleus br^ding system in farm was adopted to develop comprehensive selection index and establish BLUP model to estimate breeding value, so as to guide assortative mating and selection improvement. The results showed that the body weights of yearling ram and ewe in nucleus herd were （29.77± 5.51 ） kg and （25.18 ± 5.67 ） kg, while those of adult ram and adult ewe were （40.08 ± 7.73 ） kg and （ 34.90 ±6.56） kg, respectively; the body weights of yearling ram and ewe in basic herd were （26.59 ±3.68） kg and （24.139 ±4.60） kg, while those of adult ram and adult ewe were （35.33 ± 4.09） kg and （32.16 ± 6.83 ） kg, respectively; the lambing rate was 152.33 % ; the slaughter rate was 48.50%, and the net meat rate was 38.94%. New breeds of Guizhou Heima goat had significantly improved production performance and breed uniformity, with stable genetic performance.
