Common wheat(Triticum aestivum L.)is a leading cereal crop,but has lagged behind with respect to the interpretation of the molecular mechanisms of phenotypes compared with other major cereal crops such as rice and mai...Common wheat(Triticum aestivum L.)is a leading cereal crop,but has lagged behind with respect to the interpretation of the molecular mechanisms of phenotypes compared with other major cereal crops such as rice and maize.The recently available genome sequence of wheat affords the pre-requisite information for efficiently exploiting the potential molecular resources for decoding the genetic architecture of complex traits and identifying valuable breeding targets.Meanwhile,the successful application of metabolomics as an emergent large-scale profiling methodology in several species has demonstrated this approach to be accessible for reaching the above goals.One such productive avenue is combining metabolomics approaches with genetic designs.However,this trial is not as widespread as that for sequencing technologies,especially when the acquisition,understanding,and application of metabolic approaches in wheat populations remain more difficult and even arguably underutilized.In this review,we briefly introduce the techniques used in the acquisition of metabolomics data and their utility in large-scale identification of functional candidate genes.Considerable progress has been made in delivering improved varieties,suggesting that the inclusion of information concerning these metabolites and genes and metabolic pathways enables a more explicit understanding of phenotypic traits and,as such,this procedure could serve as an-omics-informed roadmap for executing similar improvement strategies in wheat and other species.展开更多
Global crop productivity faces a significant threat from climate change-induced drought stress(DS),which is vital for sustainable agriculture and global food security.Uncovering DS adaptation and tolerance mechanisms ...Global crop productivity faces a significant threat from climate change-induced drought stress(DS),which is vital for sustainable agriculture and global food security.Uncovering DS adaptation and tolerance mechanisms in crops is necessary to alleviate climate challenges.Innovative plant breeding demands revolutionary approaches to develop stress-smart plants.Metabolomics,a promising field in plant breeding,offers a predictive tool to identify metabolic markers associated with plant performance under DS,enabling accelerated crop improvement.Central to DS adaptation is metabolomics-driven metabolic regulation,which is critical for maintaining cell osmotic potential in crops.Recent innovations allow rapid mapping of specific metabolites to their genetic pathways,providing a valuable resource for plant scientists.Metabolomics-driven molecular breeding,integrating techniques such as mQTL and mGWAS,enhances our ability to discover key genetic elements linked to stress-responsive metabolites.This integration offers a beneficial platform for plant scientists,yielding significant insights into the complex metabolic networks underlying DS tolerance.Therefore,this review discusses(1)insights into metabolic regulation for DS adaptation,(2)the multifaceted role of metabolites in DS tolerance and nutritional/yield trait improvement,(3)the potential of single-cell metabolomics and imaging,(4)metabolomics-driven molecular breeding,and(5)the application of metabolic and genetic engineering for DS-tolerant crops.We finally propose that the metabolomics-driven approach positions drought-smart crops as key contributors to future food production,supporting the vital goal of achieving“zero hunger”.展开更多
Maize flowering is an important agronomic character,which is controlled by quantitative trait loci(QTL).Over the years,a large number of flowering-related QTL have been found in maize and exist in public databases.How...Maize flowering is an important agronomic character,which is controlled by quantitative trait loci(QTL).Over the years,a large number of flowering-related QTL have been found in maize and exist in public databases.However,combining these data,re-analyzing and mining candidate loci and fine mapping of flowering-related traits to reduce confidence intervals has become a hot issue in maize.In this study,the QTL of 6 important agronomic traits of maize flowering were collected from 15 published articles,including flowering period(DA),Days to tasseling(DTT),Days to silking(DS),Days to pollen shedding(DTP),anthesis-silking interval(ASI)and the photosensitive(PS).Through meta-analysis,622 QTL were integrated into 26 meta-QTLs(MQTL).Finally,the candidate genes related to maize flowering(Gene IDs:ZM00001D005791,ZM00001D019045,ZM00001D050697,ZM00001D011139)were identified by Gene Ontology(GO)enrichment and hierarchical cluster analysis of expression profile.Based on the results of this study,the genetic characteristics of maize flowering traits will be further analyzed,which is of great significance to guide the improvement of important agronomic characters and improve the efficiency of breeding.展开更多
Despite recent advances in crop metabolomics,the genetic control and molecular basis of the wheat kernel metabolome at different developmental stages remain largely unknown.Here,we performed widely tar-geted metabolit...Despite recent advances in crop metabolomics,the genetic control and molecular basis of the wheat kernel metabolome at different developmental stages remain largely unknown.Here,we performed widely tar-geted metabolite profiling of kernels from three developmental stages(grain-filling kernels[FKs],mature kernels[MKs],and germinating kernels[GKs])using a population of 159 recombinant inbred lines.We de-tected 625 annotated metabolites and mapped 3173,3143,and 2644 metabolite quantitative trait loci(mQTLs)in FKs,MKs,and GKs,respectively.Only 52 mQTLs were mapped at all three stages,indicating the high stage specificity of the wheat kernel metabolome.Four candidate genes were functionally vali-dated by in vitro enzymatic reactions and/or transgenic approaches in wheat,three of which mediated the tricin metabolic pathway.Metaboliteflux efficiencies within the tricin pathway were evaluated,and su-perior candidate haplotypes were identified,comprehensively delineating the tricin metabolism pathway in wheat.Finally,additional wheat metabolic pathways were re-constructed by updating them to incorporate the 177 candidate genes identified in this study.Our work provides new information on variations in the wheat kernel metabolome and important molecular resources for improvement of wheat nutritional quality.展开更多
基金supported by the National Natural Science Foundation of China(91935304,31770328,and 32001541)the Huazhong Agricultural University Scientific&Technological Self-Innovation Foundation(2017RC006)+1 种基金the China Postdoctoral Science Foundation(2018M642866 and 2021T140246)the Hubei Provincial Natural Science Foundation(2020CFB149).
文摘Common wheat(Triticum aestivum L.)is a leading cereal crop,but has lagged behind with respect to the interpretation of the molecular mechanisms of phenotypes compared with other major cereal crops such as rice and maize.The recently available genome sequence of wheat affords the pre-requisite information for efficiently exploiting the potential molecular resources for decoding the genetic architecture of complex traits and identifying valuable breeding targets.Meanwhile,the successful application of metabolomics as an emergent large-scale profiling methodology in several species has demonstrated this approach to be accessible for reaching the above goals.One such productive avenue is combining metabolomics approaches with genetic designs.However,this trial is not as widespread as that for sequencing technologies,especially when the acquisition,understanding,and application of metabolic approaches in wheat populations remain more difficult and even arguably underutilized.In this review,we briefly introduce the techniques used in the acquisition of metabolomics data and their utility in large-scale identification of functional candidate genes.Considerable progress has been made in delivering improved varieties,suggesting that the inclusion of information concerning these metabolites and genes and metabolic pathways enables a more explicit understanding of phenotypic traits and,as such,this procedure could serve as an-omics-informed roadmap for executing similar improvement strategies in wheat and other species.
基金supported by Chinese National Key R&DProject for Synthetic Biology(2018YFA0902500)National Natural Science Foundation of China(32273118)+3 种基金The Guangdong Key R&D Project(2022B1111070005)Shenzhen Special Fund for Sustainable Development(KCXFZ20211020164013021)Shenzhen University 2035 Program for Excellent Research(2022B010)supported by a startup grant from the Food Futures Institute of Murdoch University,Australia.
文摘Global crop productivity faces a significant threat from climate change-induced drought stress(DS),which is vital for sustainable agriculture and global food security.Uncovering DS adaptation and tolerance mechanisms in crops is necessary to alleviate climate challenges.Innovative plant breeding demands revolutionary approaches to develop stress-smart plants.Metabolomics,a promising field in plant breeding,offers a predictive tool to identify metabolic markers associated with plant performance under DS,enabling accelerated crop improvement.Central to DS adaptation is metabolomics-driven metabolic regulation,which is critical for maintaining cell osmotic potential in crops.Recent innovations allow rapid mapping of specific metabolites to their genetic pathways,providing a valuable resource for plant scientists.Metabolomics-driven molecular breeding,integrating techniques such as mQTL and mGWAS,enhances our ability to discover key genetic elements linked to stress-responsive metabolites.This integration offers a beneficial platform for plant scientists,yielding significant insights into the complex metabolic networks underlying DS tolerance.Therefore,this review discusses(1)insights into metabolic regulation for DS adaptation,(2)the multifaceted role of metabolites in DS tolerance and nutritional/yield trait improvement,(3)the potential of single-cell metabolomics and imaging,(4)metabolomics-driven molecular breeding,and(5)the application of metabolic and genetic engineering for DS-tolerant crops.We finally propose that the metabolomics-driven approach positions drought-smart crops as key contributors to future food production,supporting the vital goal of achieving“zero hunger”.
基金Science and Technology Project of Jilin Provincial Department of Education[JJKH20210351KJ,JJKH20210346KJ]Jilin Province Science and Technology Development Plan Project[20200402023NC]。
文摘Maize flowering is an important agronomic character,which is controlled by quantitative trait loci(QTL).Over the years,a large number of flowering-related QTL have been found in maize and exist in public databases.However,combining these data,re-analyzing and mining candidate loci and fine mapping of flowering-related traits to reduce confidence intervals has become a hot issue in maize.In this study,the QTL of 6 important agronomic traits of maize flowering were collected from 15 published articles,including flowering period(DA),Days to tasseling(DTT),Days to silking(DS),Days to pollen shedding(DTP),anthesis-silking interval(ASI)and the photosensitive(PS).Through meta-analysis,622 QTL were integrated into 26 meta-QTLs(MQTL).Finally,the candidate genes related to maize flowering(Gene IDs:ZM00001D005791,ZM00001D019045,ZM00001D050697,ZM00001D011139)were identified by Gene Ontology(GO)enrichment and hierarchical cluster analysis of expression profile.Based on the results of this study,the genetic characteristics of maize flowering traits will be further analyzed,which is of great significance to guide the improvement of important agronomic characters and improve the efficiency of breeding.
基金supported by the National Major Program of China (2023ZD0406903)the Natural Science Foundation for Distinguished Young Scientists of Hubei Province (2021CFA058)+2 种基金the Young Topnotch Talent Cultivation Program of Hubei Provincethe National Natural Science Foundation of China (32001541)the China Postdoctoral Science Foundation (2021T140246).
文摘Despite recent advances in crop metabolomics,the genetic control and molecular basis of the wheat kernel metabolome at different developmental stages remain largely unknown.Here,we performed widely tar-geted metabolite profiling of kernels from three developmental stages(grain-filling kernels[FKs],mature kernels[MKs],and germinating kernels[GKs])using a population of 159 recombinant inbred lines.We de-tected 625 annotated metabolites and mapped 3173,3143,and 2644 metabolite quantitative trait loci(mQTLs)in FKs,MKs,and GKs,respectively.Only 52 mQTLs were mapped at all three stages,indicating the high stage specificity of the wheat kernel metabolome.Four candidate genes were functionally vali-dated by in vitro enzymatic reactions and/or transgenic approaches in wheat,three of which mediated the tricin metabolic pathway.Metaboliteflux efficiencies within the tricin pathway were evaluated,and su-perior candidate haplotypes were identified,comprehensively delineating the tricin metabolism pathway in wheat.Finally,additional wheat metabolic pathways were re-constructed by updating them to incorporate the 177 candidate genes identified in this study.Our work provides new information on variations in the wheat kernel metabolome and important molecular resources for improvement of wheat nutritional quality.
