期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Developing superior alleles of yield genes in rice by artificial mutagenesis using the CRISPR/Cas9 system 被引量:10
1
作者 Liyu Huang Ru Zhang +8 位作者 Guangfu Huang Yanxia Li Getachew Melaku Shilai Zhang Haitao Chen Yanjuan Zhao Jing Zhang Yesheng Zhang Fengyi Hu 《The Crop Journal》 SCIE CAS CSCD 2018年第5期475-481,共7页
Rice yield is an important and complex agronomic trait controlled by multiple genes.In recent decades,dozens of yield-associated genes in rice have been cloned,many of which can increase production in the form of loss... Rice yield is an important and complex agronomic trait controlled by multiple genes.In recent decades,dozens of yield-associated genes in rice have been cloned,many of which can increase production in the form of loss or degeneration of function.However,mutations occurring randomly under natural conditions have provided very limited genetic resources for yield increases.In this study,potentially yield-increasing alleles of two genes closely associated with yield were edited artificially.The recently developed CRISPR/Cas9system was used to edit two yield genes:Grain number 1a(Gn1a)and DENSE AND ERECT PANICLE1(DEP1).Several mutants were identified by a target sequence analysis.Phenotypic analysis confirmed one mutant allele of Gn1a and three of DEP1 conferring yield superior to that conferred by other natural high-yield alleles.Our results demonstrate that favorable alleles of the Gnla and DEP1 genes,which are considered key factors in rice yield increases,could be developed by artificial mutagenesis using genome editing technology. 展开更多
关键词 RICE CRISPR/Cas9 Gn1a DEP1 Gene EDITING
下载PDF
Identification of Key Genes for the Ultrahigh Yield of Rice Using Dynamic Cross-tissue Network Analysis 被引量:5
2
作者 Jihong Hu Tao Zeng +13 位作者 Qiongmei Xia Liyu Huang Yesheng Zhang Chuanchao Zhang Yan Zeng Hui Liu Shilai Zhang Guangfu Huang Wenting Wan Yi Ding Fengyi Hu Congdang Yang Luonan Chen Wen Wang 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2020年第3期256-270,共15页
Significantly increasing crop yield is a major and worldwide challenge for food supply and security.It is well-known that rice cultivated at Taoyuan in Yunnan of China can produce the highest yield worldwide.Yet,the g... Significantly increasing crop yield is a major and worldwide challenge for food supply and security.It is well-known that rice cultivated at Taoyuan in Yunnan of China can produce the highest yield worldwide.Yet,the gene regulatory mechanism underpinning this ultrahigh yield has been a mystery.Here,we systematically collected the transcriptome data for seven key tissues at different developmental stages using rice cultivated both at Taoyuan as the case group and at another regular rice planting place Jinghong as the control group.We identified the top 24 candidate high-yield genes with their network modules from these well-designed datasets by developing a novel computational systems biology method,i.e.,dynamic cross-tissue(DCT)network analysis.We used one of the candidate genes,Os SPL4,whose function was previously unknown,for gene editing experimental validation of the high yield,and confirmed that Os SPL4 significantly affects panicle branching and increases the rice yield.This study,which included extensive field phenotyping,cross-tissue systems biology analyses,and functional validation,uncovered the key genes and gene regulatory networks underpinning the ultrahigh yield of rice.The DCT method could be applied to other plant or animal systems if different phenotypes under various environments with the common genome sequences of the examined sample.DCT can be downloaded from https://github.com/ztpub/DCT. 展开更多
关键词 Dynamic cross-tissue(DCT) Systems biology RNA-SEQ Ultrahigh yield Rice
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部