Based on the perspective of pig population system prediction,and accorded to principle of pig months transfer,this paper refers to the modeling principle and method of discrete population quantity prediction model.The...Based on the perspective of pig population system prediction,and accorded to principle of pig months transfer,this paper refers to the modeling principle and method of discrete population quantity prediction model.Then the prediction model of pork supply is derived and established:Firstly,the recursive model of pig population system and estimation model of pork supply was established.Then this study estimated the sum of monthly mortality and culling rate of breeding sows.Furthermore,the method for new left gilts in each month and estimation of breeding sows at each month of age was established.Last,this research established the estimation method model of the initial state of pig population.On this basis,an example calculation is made to predict the monthly pork supply in Heilongjiang Province from January 2016 to March 2018 in the future.The results showed that the prediction model of pork supply based on the prediction of pig population system is an effective perspective to study the forecast of pork supply.In the prediction stage,the prediction accuracy of the number of slaughtered fattened hogs was 96.36%and 97.54%,and the prediction accuracy of pork supply was 98.08%and 93.82%.This study not only lay a theoretical foundation for further study on the balance between pork supply and demand,but also helps to guide pork producers and governments at all levels to make relevant production decisions and plans.展开更多
Background:Short tandem repeats(STRs)were recently found to have significant impacts on gene expression and diseases in humans,but their roles on gene expression and complex traits in pigs remain unexplored.This study...Background:Short tandem repeats(STRs)were recently found to have significant impacts on gene expression and diseases in humans,but their roles on gene expression and complex traits in pigs remain unexplored.This study investigates the effects of STRs on gene expression in liver tissues based on the whole-genome sequences and RNA-Seq data of a discovery cohort of 260 F6 individuals and a validation population of 296 F7 individuals from a heterogeneous population generated from crosses among eight pig breeds.Results:We identified 5203 and 5868 significantly expression STRs(eSTRs,FDR<1%)in the F6 and F7 populations,respectively,most of which could be reciprocally validated(π1=0.92).The eSTRs explained 27.5%of the cisheritability of gene expression traits on average.We further identified 235 and 298 fine-mapped STRs through the Bayesian fine-mapping approach in the F6 and F7 pigs,respectively,which were significantly enriched in intron,ATAC peak,compartment A and H3K4me3 regions.We identified 20 fine-mapped STRs located in 100 kb windows upstream and downstream of published complex trait-associated SNPs,which colocalized with epigenetic markers such as H3K27ac and ATAC peaks.These included eSTR of the CLPB,PGLS,PSMD6 and DHDH genes,which are linked with genome-wide association study(GWAS)SNPs for blood-related traits,leg conformation,growth-related traits,and meat quality traits,respectively.Conclusions:This study provides insights into the effects of STRs on gene expression traits.The identified eSTRs are valuable resources for prioritizing causal STRs for complex traits in pigs.展开更多
基金This research was supported by Heilongjiang Province Philosophy and Social Science Research Planning Project(18GLC205)(17GYB084)Heilongjiang Province Doctors Back Project(LBH-Z18024)Northeast Agricultural University Youth Talent Research Fund(18QC18).
文摘Based on the perspective of pig population system prediction,and accorded to principle of pig months transfer,this paper refers to the modeling principle and method of discrete population quantity prediction model.Then the prediction model of pork supply is derived and established:Firstly,the recursive model of pig population system and estimation model of pork supply was established.Then this study estimated the sum of monthly mortality and culling rate of breeding sows.Furthermore,the method for new left gilts in each month and estimation of breeding sows at each month of age was established.Last,this research established the estimation method model of the initial state of pig population.On this basis,an example calculation is made to predict the monthly pork supply in Heilongjiang Province from January 2016 to March 2018 in the future.The results showed that the prediction model of pork supply based on the prediction of pig population system is an effective perspective to study the forecast of pork supply.In the prediction stage,the prediction accuracy of the number of slaughtered fattened hogs was 96.36%and 97.54%,and the prediction accuracy of pork supply was 98.08%and 93.82%.This study not only lay a theoretical foundation for further study on the balance between pork supply and demand,but also helps to guide pork producers and governments at all levels to make relevant production decisions and plans.
基金supported by National Natural Science Foundation of China(31790413)supported by National Natural Science Foundation of China(31760657)。
文摘Background:Short tandem repeats(STRs)were recently found to have significant impacts on gene expression and diseases in humans,but their roles on gene expression and complex traits in pigs remain unexplored.This study investigates the effects of STRs on gene expression in liver tissues based on the whole-genome sequences and RNA-Seq data of a discovery cohort of 260 F6 individuals and a validation population of 296 F7 individuals from a heterogeneous population generated from crosses among eight pig breeds.Results:We identified 5203 and 5868 significantly expression STRs(eSTRs,FDR<1%)in the F6 and F7 populations,respectively,most of which could be reciprocally validated(π1=0.92).The eSTRs explained 27.5%of the cisheritability of gene expression traits on average.We further identified 235 and 298 fine-mapped STRs through the Bayesian fine-mapping approach in the F6 and F7 pigs,respectively,which were significantly enriched in intron,ATAC peak,compartment A and H3K4me3 regions.We identified 20 fine-mapped STRs located in 100 kb windows upstream and downstream of published complex trait-associated SNPs,which colocalized with epigenetic markers such as H3K27ac and ATAC peaks.These included eSTR of the CLPB,PGLS,PSMD6 and DHDH genes,which are linked with genome-wide association study(GWAS)SNPs for blood-related traits,leg conformation,growth-related traits,and meat quality traits,respectively.Conclusions:This study provides insights into the effects of STRs on gene expression traits.The identified eSTRs are valuable resources for prioritizing causal STRs for complex traits in pigs.