Many important crops(e.g.,tuber,root,and tree crops)are cross-pollinating.For these crops,no inbred lines are available for genetic study and breeding because they are self-incompatible,clonally propagated,or have a l...Many important crops(e.g.,tuber,root,and tree crops)are cross-pollinating.For these crops,no inbred lines are available for genetic study and breeding because they are self-incompatible,clonally propagated,or have a long generation time,making the identification of agronomically important genes difficult,particularly in crops with a complex autopolyploid genome.In this study,we developed a method,OutcrossSeq,for mapping agronomically important loci in outcrossing crops based on whole-genome low-coverage resequencing of a large genetic population,and designed three computation algorithms in OutcrossSeq for different types of outcrossing populations.We applied OutcrossSeq to a tuberous root crop(sweet potato,autopolyploid),a tree crop(walnut tree,highly heterozygous diploid),and hybrid crops(double-cross populations)to generate high-density genotype maps for the outcrossing populations,which enable precise identification of genomic loci underlying important agronomic traits.Candidate causative genes at these loci were detected based on functional clues.Taken together,our results indicate that OutcrossSeq is a robust and powerful method for identifying agronomically important genes in heterozygous species,including polyploids,in a cost-efficient way.The OutcrossSeq software and its instruction manual are available for downloading at www.xhhuanglab.cn/tool/OutcrossSeq.html.展开更多
基金We are grateful to Prof.Lars M.Steinmetz for the Tn5 plasmid.This work was funded by the Ministry of Science and Technology of China(2016YFD0100902 to X.H.,2018YFD1000701 and 2019YFD1000703 to J.Y.)the National Natural Science Foundation of China(31825015 to X.H.)+4 种基金the Program of Shanghai Academic Research Leader(18XD1402900 to X.H.)the Innovation Program of the Shanghai Municipal Education Commission(2017-01-07-00-02-E00039 to X.H.)the Shanghai Municipal Afforestation&City Appearance and Environmental Sanitation Administration(G182402,G192413,G192414,and G202402 to J.Y.)the Youth Innovation Promotion Association CAS(to J.Y.)the State Key Laboratory of Tree Genetics and Breeding support Program(CAFYBB2019ZY001 to D.P.).
文摘Many important crops(e.g.,tuber,root,and tree crops)are cross-pollinating.For these crops,no inbred lines are available for genetic study and breeding because they are self-incompatible,clonally propagated,or have a long generation time,making the identification of agronomically important genes difficult,particularly in crops with a complex autopolyploid genome.In this study,we developed a method,OutcrossSeq,for mapping agronomically important loci in outcrossing crops based on whole-genome low-coverage resequencing of a large genetic population,and designed three computation algorithms in OutcrossSeq for different types of outcrossing populations.We applied OutcrossSeq to a tuberous root crop(sweet potato,autopolyploid),a tree crop(walnut tree,highly heterozygous diploid),and hybrid crops(double-cross populations)to generate high-density genotype maps for the outcrossing populations,which enable precise identification of genomic loci underlying important agronomic traits.Candidate causative genes at these loci were detected based on functional clues.Taken together,our results indicate that OutcrossSeq is a robust and powerful method for identifying agronomically important genes in heterozygous species,including polyploids,in a cost-efficient way.The OutcrossSeq software and its instruction manual are available for downloading at www.xhhuanglab.cn/tool/OutcrossSeq.html.
