The timing of fruit maturity is an important trait in sweet cherry production and breeding.Phenotypic variation for phenology of fruit maturity in sweet cherry appears to be under strong genetic control,but that contr...The timing of fruit maturity is an important trait in sweet cherry production and breeding.Phenotypic variation for phenology of fruit maturity in sweet cherry appears to be under strong genetic control,but that control might be complicated by phenotypic instability across environments.Although such genotype-by-environment interaction(G×E)is a common phenomenon in crop plants,knowledge about it is lacking for fruit maturity timing and other sweet cherry traits.In this study,1673 genome-wide SNP markers were used to estimate genomic relationships among 597 weakly pedigree-connected individuals evaluated over two seasons at three locations in Europe and one location in the USA,thus sampling eight‘environments’.The combined dataset enabled a single meta-analysis to investigate the environmental stability of genomic predictions.Linkage disequilibrium among marker loci declined rapidly with physical distance,and ordination of the relationship matrix suggested no strong structure among germplasm.The most parsimonious G×E model allowed heterogeneous genetic variance and pairwise covariances among environments.Narrow-sense genomic heritability was very high(0.60–0.83),as was accuracy of predicted breeding values(>0.62).Average correlation of additive effects among environments was high(0.96)and breeding values were highly correlated across locations.Results indicated that genomic models can be used in cherry to accurately predict date of fruit maturity for untested individuals in new environments.Limited G×E for this trait indicated that phenotypes of individuals will be stable across similar environments.Equivalent analyses for other sweet cherry traits,for which multiple years of data are commonly available among breeders and cultivar testers,would be informative for predicting performance of elite selections and cultivars in new environments.展开更多
Genome mapping has promised much to tree fruit breeding during the last 10 years.Nevertheless,one of the greatest challenges remaining to tree fruit geneticists is the translation of trait loci and whole genome sequen...Genome mapping has promised much to tree fruit breeding during the last 10 years.Nevertheless,one of the greatest challenges remaining to tree fruit geneticists is the translation of trait loci and whole genome sequences into diagnostic genetic markers that are efficient and cost-effective for use by breeders,who must select genetically optimal parents and subsequently select genetically superior individuals among their progeny.To take this translational step,we designed the apple International RosBREED SNP Consortium OpenArray v1.0(IRSCOA v1.0)assay using a set of 128 apple single nucleotide polymorphisms(SNPs)linked to fruit quality and pest and disease resistance trait loci.The Thermo Fisher Scientific OpenArray®technology enables multiplexed screening of SNP markers using a real-time PCR instrument with fluorescent probe-based Taqman®assays.We validated the apple IRSCOA v1.0 multitrait assay by screening 240 phenotyped individuals from the Plant&Food Research apple cultivar breeding programme.This set of individuals comprised commercial and heritage cultivars,elite selections,and families segregating for traits of importance to breeders.In total,33 SNP markers of the IRSCOA v1.0 were validated for use in marker-assisted selection(MAS)for the scab resistances Rvi2/Vh2,Rvi4/Vh4,Rvi6/Vf,fire blight resistance MR5/RLP1,powdery mildew resistance Pl2,fruit firmness,skin colour,flavour intensity,and acidity.The availability of this set of validated trait-associated SNP markers,which can be used individually on multiple genotyping platforms available to various apple breeding programmes or re-designed using the flanking sequences,represents a large translational genetics step from genomics to crop improvement of apple.展开更多
In 2010,a major scientific milestone was achieved for tree fruit crops:publication of the first draft whole genome sequence(WGS)for apple(Malus domestica).This WGS,v1.0,was valuable as the initial reference for sequen...In 2010,a major scientific milestone was achieved for tree fruit crops:publication of the first draft whole genome sequence(WGS)for apple(Malus domestica).This WGS,v1.0,was valuable as the initial reference for sequence information,fine mapping,gene discovery,variant discovery,and tool development.A new,high quality apple WGS,GDDH13 v1.1,was released in 2017 and now serves as the reference genome for apple.Over the past decade,these apple WGSs have had an enormous impact on our understanding of apple biological functioning,trait physiology and inheritance,leading to practical applications for improving this highly valued crop.Causal gene identities for phenotypes of fundamental and practical interest can today be discovered much more rapidly.Genome-wide polymorphisms at high genetic resolution are screened efficiently over hundreds to thousands of individuals with new insights into genetic relationships and pedigrees.High-density genetic maps are constructed efficiently and quantitative trait loci for valuable traits are readily associated with positional candidate genes and/or converted into diagnostic tests for breeders.We understand the species,geographical,and genomic origins of domesticated apple more precisely,as well as its relationship to wild relatives.The WGS has turbo-charged application of these classical research steps to crop improvement and drives innovative methods to achieve more durable,environmentally sound,productive,and consumer-desirable apple production.This review includes examples of basic and practical breakthroughs and challenges in using the apple WGSs.Recommendations for“what’s next”focus on necessary upgrades to the genome sequence data pool,as well as for use of the data,to reach new frontiers in genomics-based scientific understanding of apple.展开更多
基金supported by the USDA National Institute of Food and Agriculture(NIFA)-Specialty Crop Research Initiative project,‘RosBREED:Combining disease resistance with horticultural quality in new rosaceous cultivars’(grant number 2014-51181-22378).
文摘The timing of fruit maturity is an important trait in sweet cherry production and breeding.Phenotypic variation for phenology of fruit maturity in sweet cherry appears to be under strong genetic control,but that control might be complicated by phenotypic instability across environments.Although such genotype-by-environment interaction(G×E)is a common phenomenon in crop plants,knowledge about it is lacking for fruit maturity timing and other sweet cherry traits.In this study,1673 genome-wide SNP markers were used to estimate genomic relationships among 597 weakly pedigree-connected individuals evaluated over two seasons at three locations in Europe and one location in the USA,thus sampling eight‘environments’.The combined dataset enabled a single meta-analysis to investigate the environmental stability of genomic predictions.Linkage disequilibrium among marker loci declined rapidly with physical distance,and ordination of the relationship matrix suggested no strong structure among germplasm.The most parsimonious G×E model allowed heterogeneous genetic variance and pairwise covariances among environments.Narrow-sense genomic heritability was very high(0.60–0.83),as was accuracy of predicted breeding values(>0.62).Average correlation of additive effects among environments was high(0.96)and breeding values were highly correlated across locations.Results indicated that genomic models can be used in cherry to accurately predict date of fruit maturity for untested individuals in new environments.Limited G×E for this trait indicated that phenotypes of individuals will be stable across similar environments.Equivalent analyses for other sweet cherry traits,for which multiple years of data are commonly available among breeders and cultivar testers,would be informative for predicting performance of elite selections and cultivars in new environments.
基金enabled by the European Commission’s 7th Framework Programme FruitBreedomics Project No 265582USDA’s National Institute of Food and Agriculture Specialty Crop Research Initiative project“RosBREED:Combining Disease Resistance and Horticultural Quality in New Rosaceous Cultivars”(2014-51181-22378)New Zealand’s Ministry of Business,Innovation and Employment,as well as PREVAR Ltd Pipfruit Research Consortium 2 projects.
文摘Genome mapping has promised much to tree fruit breeding during the last 10 years.Nevertheless,one of the greatest challenges remaining to tree fruit geneticists is the translation of trait loci and whole genome sequences into diagnostic genetic markers that are efficient and cost-effective for use by breeders,who must select genetically optimal parents and subsequently select genetically superior individuals among their progeny.To take this translational step,we designed the apple International RosBREED SNP Consortium OpenArray v1.0(IRSCOA v1.0)assay using a set of 128 apple single nucleotide polymorphisms(SNPs)linked to fruit quality and pest and disease resistance trait loci.The Thermo Fisher Scientific OpenArray®technology enables multiplexed screening of SNP markers using a real-time PCR instrument with fluorescent probe-based Taqman®assays.We validated the apple IRSCOA v1.0 multitrait assay by screening 240 phenotyped individuals from the Plant&Food Research apple cultivar breeding programme.This set of individuals comprised commercial and heritage cultivars,elite selections,and families segregating for traits of importance to breeders.In total,33 SNP markers of the IRSCOA v1.0 were validated for use in marker-assisted selection(MAS)for the scab resistances Rvi2/Vh2,Rvi4/Vh4,Rvi6/Vf,fire blight resistance MR5/RLP1,powdery mildew resistance Pl2,fruit firmness,skin colour,flavour intensity,and acidity.The availability of this set of validated trait-associated SNP markers,which can be used individually on multiple genotyping platforms available to various apple breeding programmes or re-designed using the flanking sequences,represents a large translational genetics step from genomics to crop improvement of apple.
文摘In 2010,a major scientific milestone was achieved for tree fruit crops:publication of the first draft whole genome sequence(WGS)for apple(Malus domestica).This WGS,v1.0,was valuable as the initial reference for sequence information,fine mapping,gene discovery,variant discovery,and tool development.A new,high quality apple WGS,GDDH13 v1.1,was released in 2017 and now serves as the reference genome for apple.Over the past decade,these apple WGSs have had an enormous impact on our understanding of apple biological functioning,trait physiology and inheritance,leading to practical applications for improving this highly valued crop.Causal gene identities for phenotypes of fundamental and practical interest can today be discovered much more rapidly.Genome-wide polymorphisms at high genetic resolution are screened efficiently over hundreds to thousands of individuals with new insights into genetic relationships and pedigrees.High-density genetic maps are constructed efficiently and quantitative trait loci for valuable traits are readily associated with positional candidate genes and/or converted into diagnostic tests for breeders.We understand the species,geographical,and genomic origins of domesticated apple more precisely,as well as its relationship to wild relatives.The WGS has turbo-charged application of these classical research steps to crop improvement and drives innovative methods to achieve more durable,environmentally sound,productive,and consumer-desirable apple production.This review includes examples of basic and practical breakthroughs and challenges in using the apple WGSs.Recommendations for“what’s next”focus on necessary upgrades to the genome sequence data pool,as well as for use of the data,to reach new frontiers in genomics-based scientific understanding of apple.
