Genome-wide association study （GWAS） has become a widely accepted strategy for decoding genotype- phenotype associations in many species thanks to advances in next-generation sequencing （NGS） technol- ogies. Maize...Genome-wide association study （GWAS） has become a widely accepted strategy for decoding genotype- phenotype associations in many species thanks to advances in next-generation sequencing （NGS） technol- ogies. Maize is an ideal crop for GWAS and significant progress has been made in the last decade. This review summarizes current GWAS efforts in maize functional genomics research and discusses future prospects in the omics era. The general goal of GWAS is to link genotypic variations to corresponding dif- ferences in phenotype using the most appropriate statistical model in a given population. The current re- view also presents perspectives for optimizing GWAS design and analysis. GWAS analysis of data from RNA, protein, and metabolite-based omics studies is discussed, along with new models and new popula- tion designs that will identify causes of phenotypic variation that have been hidden to date. The joint and continuous efforts of the whole community will enhance our understanding of maize quantitative traits and boost crop molecular breeding designs.展开更多
Rice is one of the most important crops worldwide, both as a staple food and as a model system for genomic research. In order to systematically assign functions to all predicted genes in the rice genome, a large numbe...Rice is one of the most important crops worldwide, both as a staple food and as a model system for genomic research. In order to systematically assign functions to all predicted genes in the rice genome, a large number of rice mutant lines, including those created by T-DNA insertion, Ds/dSpm tagging, Tos17 tagging, and chemical/irradiation mutagenesis, have been generated by groups around the world. In this study, we have reviewed the current status of mutant resources for functional analysis of the rice genome. A total of 246 566 flanking sequence tags from rice mutant libraries with T-DNA, Ds/dSpm, or Tos17 insertion have been collected and analyzed. The results show that, among 211 470 unique hits, inserts located in the genic region account for 68.16%, and 60.49% of nuclear genes contain at least one insertion. Currently, 57% of non-transposable-element-related genes in rice have insertional tags. In addition, chemical/irradiation-induced rice mutant libraries have contributed a lot to both gene identification and new technology for the identification of mutant sites. In this review, we summarize how these tools have been used to generate a large collection of mutants. In addition, we discuss the merits of classic mutation strategies. In order to achieve saturation of mutagenesis in rice, DNA targeting, and new resources like RiceFox for gene functional identification are reviewed from a perspective of the future generation of rice mutant resources.展开更多
文摘Genome-wide association study （GWAS） has become a widely accepted strategy for decoding genotype- phenotype associations in many species thanks to advances in next-generation sequencing （NGS） technol- ogies. Maize is an ideal crop for GWAS and significant progress has been made in the last decade. This review summarizes current GWAS efforts in maize functional genomics research and discusses future prospects in the omics era. The general goal of GWAS is to link genotypic variations to corresponding dif- ferences in phenotype using the most appropriate statistical model in a given population. The current re- view also presents perspectives for optimizing GWAS design and analysis. GWAS analysis of data from RNA, protein, and metabolite-based omics studies is discussed, along with new models and new popula- tion designs that will identify causes of phenotypic variation that have been hidden to date. The joint and continuous efforts of the whole community will enhance our understanding of maize quantitative traits and boost crop molecular breeding designs.
基金This work was supported （2012AA10A304） the Nationa by the 863 Project Grant Natural Science Foundation of China （31171441） and the Program for New Century Excellent Talents in University.We thank Ying Yang, Xingwang Li, Yuxiao Chang, Jian Zhang, Dong Guo, Xiaoxia Dai, and Changjun You for their contributions of flanking sequence in the Rice Mutant Database. No conflict of interest declared.
文摘Rice is one of the most important crops worldwide, both as a staple food and as a model system for genomic research. In order to systematically assign functions to all predicted genes in the rice genome, a large number of rice mutant lines, including those created by T-DNA insertion, Ds/dSpm tagging, Tos17 tagging, and chemical/irradiation mutagenesis, have been generated by groups around the world. In this study, we have reviewed the current status of mutant resources for functional analysis of the rice genome. A total of 246 566 flanking sequence tags from rice mutant libraries with T-DNA, Ds/dSpm, or Tos17 insertion have been collected and analyzed. The results show that, among 211 470 unique hits, inserts located in the genic region account for 68.16%, and 60.49% of nuclear genes contain at least one insertion. Currently, 57% of non-transposable-element-related genes in rice have insertional tags. In addition, chemical/irradiation-induced rice mutant libraries have contributed a lot to both gene identification and new technology for the identification of mutant sites. In this review, we summarize how these tools have been used to generate a large collection of mutants. In addition, we discuss the merits of classic mutation strategies. In order to achieve saturation of mutagenesis in rice, DNA targeting, and new resources like RiceFox for gene functional identification are reviewed from a perspective of the future generation of rice mutant resources.
