Identifying a large number of high-yield genes in rice by pedigree analysis, whole-genome sequencing, and CRISPR-Cas9 gene knockout

• Published in: Proceedings of the National Academy of Sciences - PNAS Vol. 115; no. 32; pp. E7559 - E7567
• Main Authors: Huang, Ju, Li, Jing, Zhou, Jun, Wang, Long, Yang, Sihai, Hurst, Laurence D., Li, Wen-Hsiung, Tian, Dacheng
• Format: Journal Article
• Language: English
• Published: United States National Academy of Sciences 07.08.2018
• Series: PNAS Plus
• Subjects: Agricultural production; Agriculture - methods; Biological Sciences; Clustering; CRISPR; CRISPR-Cas Systems - genetics; Crop yield; Cultivars; Gene Knockout Techniques - methods; Gene sequencing; Genes; Genome, Plant - physiology; Genomes; Genotype & phenotype; Glucosyltransferase; Green revolution; Oryza; Oryza - genetics; Oryza - physiology; Pedigree; Phenotype; Phenotypes; Plants, Genetically Modified - genetics; Plants, Genetically Modified - physiology; PNAS Plus; Quantitative Trait Loci; Quantitative Trait, Heritable; Rice; Selection, Genetic - genetics; Sequence Analysis, DNA - methods; Green Revolution; gene knockout; high-yield gene; pedigree analysis

Repeated artificial selection of a complex trait facilitates the identification of genes underlying the trait, especially if multiple selected descendant lines are available. Here we developed a pedigree-based approach to identify genes underlying the Green Revolution (GR) phenotype. From a pedigree...