首站-论文投稿智能助手
典型文献
Identification of Potential Zinc Deficiency Responsive Genes and Regulatory Pathways in Rice by Weighted Gene Co-expression Network Analysis
文献摘要:
Zinc(Zn)malnutrition is a major public health issue.Genetic biofortification of Zn in rice grain can alleviate global Zn malnutrition.Therefore,elucidating the genetic mechanisms regulating Zn deprivation response in rice is essential to identify elite genes useful for breeding high grain Zn rice varieties.Here,a meta-analysis of previous RNA-Seq studies involving Zn deficient conditions was conducted using the weighted gene co-expression network analysis(WGCNA)and other in silico prediction tools to identify modules(denoting cluster of genes with related expression pattern)of co-expressed genes,modular genes which are conserved differentially expressed genes(DEGs)across independent RNA-Seq studies,and the molecular pathways of the conserved modular DEGs.WGCNA identified 16 modules of co-expressed genes.Twenty-eight and five modular DEGs were conserved in leaf and crown,and root tissues across two independent RNA-Seq studies.Functional enrichment analysis showed that 24 of the 28 conserved modular DEGs from leaf and crown tissues significantly up-regulated 2 Kyoto Encyclopedia of Genes and Genomes(KEGG)pathways and 15 Gene Ontology(GO)terms,including the substrate-specific transmembrane transporter and the small molecule metabolic process.Further,the well-studied transcription factors(OsWOX11 and OsbHLH120),protein kinase(OsCDPK20 and OsMPK17),and miRNAs(OSA-MIR397A and OSA-MIR397B)were predicted to target some of the identified conserved modular DEGs.Out of the 24 conserved and up-regulated modular DEGs,19 were yet to be experimentally validated as Zn deficiency responsive genes.Findings from this study provide a comprehensive insight on the molecular mechanisms of Zn deficiency response and may facilitate gene and pathway prioritization for improving Zn use efficiency and Zn biofortification in rice.
文献关键词:
作者姓名:
Blaise Pascal MUVUNYI;LU Xiang;ZHAN Junhui;HE Sang;YE Guoyou
作者机构:
CAAS-IRRI Joint Laboratory for Genomics-Assisted Germplasm Enhancement,Agricultural Genomics Institute in Shenzhen,Chinese Academy of Agricultural Sciences(CAAS),Shenzhen 518120,China;Rice Breeding Innovations Platform,International Rice Research Institute(IRRI),Metro Manila 1301,the Philippines
引用格式:
[1]Blaise Pascal MUVUNYI;LU Xiang;ZHAN Junhui;HE Sang;YE Guoyou-.Identification of Potential Zinc Deficiency Responsive Genes and Regulatory Pathways in Rice by Weighted Gene Co-expression Network Analysis)[J].水稻科学(英文版),2022(06):545-558
A类:
biofortification,OsWOX11,OsbHLH120,OsCDPK20,OsMPK17,MIR397A,MIR397B
B类:
Identification,Potential,Zinc,Deficiency,Responsive,Genes,Regulatory,Pathways,Rice,by,Weighted,Co,expression,Network,Analysis,malnutrition,major,public,health,Genetic,rice,grain,alleviate,global,Therefore,elucidating,genetic,mechanisms,regulating,deprivation,response,essential,identify,elite,genes,useful,breeding,high,varieties,Here,analysis,previous,Seq,studies,involving,deficient,conditions,was,conducted,using,weighted,network,WGCNA,other,silico,prediction,tools,modules,denoting,cluster,related,pattern,expressed,modular,which,are,conserved,differentially,DEGs,across,independent,molecular,pathways,identified,Twenty,five,were,leaf,crown,root,tissues,Functional,enrichment,showed,that,from,significantly,up,regulated,Kyoto,Encyclopedia,Genomes,Ontology,terms,including,substrate,specific,transmembrane,transporter,small,molecule,metabolic,process,Further,well,studied,transcription,factors,protein,kinase,miRNAs,OSA,predicted,target,some,Out,yet,be,experimentally,validated,deficiency,responsive,Findings,this,study,provide,comprehensive,insight,may,facilitate,prioritization,improving,efficiency
AB值:
0.523093
相似文献
Genetic architecture of maize yield traits dissected by QTL mapping and GWAS in maize
Xiao Zhang;Zhiyong Ren;Bowen Luo;Haixu Zhong;Peng Ma;Hongkai Zhang;Hongmei Hu;Yikai Wang;Haiying Zhang;Dan Liu;Ling Wu;Zhi Nie;Yonghui Zhu;Wenzhu He;Suzhi Zhang;Shunzong Su;Yaou Shen;Shibin Gao-Maize Research Institute,Sichuan Agricultural University,Chengdu 611130,Sichuan,China;Key Laboratory of Biology and Genetic Improvement of Maize in Southwest Region,Ministry of Agriculture,Chengdu 611130,Sichuan,China;Guangxi Qingqing Agricultural Technology CO.,LTD.,Nanning 530000,Guangxi,China;Biotechnology and Nuclear Technology Research Institute,Sichuan Academy of Agricultural Sciences,Chengdu 610066,Sichuan,China;Crop Research Institute,Sichuan Academy of Agricultural Sciences,Chengdu 610066,Sichuan,China;State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China,Chengdu 611130,Sichuan,China;College of Agronomy,Sichuan Agricultural University,Chengdu 611130,Sichuan,China
Transcriptome changes in seeds during coleorhiza hair formation in rice
Tao Song;A.N.M.Rubaiyath Bin Rahman;Debatosh Das;Neng-Hui Ye;Feng Yang;Fu-Yuan Zhu;Mo-Xian Chen;Jian-Hua Zhang-Co-Innovation Center for Sustainable Forestry in Southern China,College of Biology and the Environment,Nanjing Forestry University,Nanjing 210037,Jiangsu,China;Shenzhen Research Institute,The Chinese University of Hong Kong,Shenzhen 518057,Guangdong,China;Southern Regional Collaborative Innovation Center for Grain and Oil Crops in China,College of Agriculture,Hunan Agricultural University,Changsha 410128,Hunan,China;Department of Biology,Hong Kong Baptist University,Kowloon 999077,Hong Kong,China;CAS Key Laboratory of Quantitative Engineering Biology,Shenzhen Institute of Synthetic Biology,Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences,Shenzhen 518055,Guangdong,China;School of Life Sciences and State Key Laboratory of Agrobiotechnology,The Chinese University of Hong Kong,Shatin 999077,Hong Kong,China
Identification of microRNAs regulating grain filling of rice inferior spikelets in response to moderate soil drying post-anthesis
Zhenning Teng;Yinke Chen;Youqing Yuan;Yaqiong Peng;Yake Yi;Huihui Yu;Zhenxie Yi;Jianchang Yang;Yan Peng;Meijuan Duan;Jianhua Zhang;Nenghui Ye-College of Agriculture,Hunan Agricultural University,Changsha 410128,Hunan,China;Hunan Provincial Key Laboratory of Rice Stress Biology,Hunan Agricultural University,Changsha 410128,Hunan,China;Changjun High School of Changsha,Changsha 410128,Hunan,China;Key Laboratory of Crop Genetics and Physiology of Jiangsu Province,Yangzhou University,Yangzhou 225009,Jiangsu,China;Department of Biology,Hong Kong Baptist University,Kowloon 999077,Hong Kong,China;School of Life Sciences and State Key Laboratory of Agrobiotechnology,the Chinese University of Hong Kong,Shatin 999077,Hong Kong,China
Comparative transcriptome analyses reveal that the MsNST1 gene affects lignin synthesis in alfalfa(Medicago sativa L.)
Qiang Zhou;Pei Mao;Dong Luo;Xutian Chai;Hao Deng;Qiangen Fang;Longfa Fang;Zhibiao Nan;Jiangqi Wen;Zhipeng Liu-State Key Laboratory of Grassland Agro-ecosystems,Key Laboratory of Grassland Livestock Industry Innovation,Ministry of Agriculture and Rural Affairs,Engineering Research Center of Grassland Industry,Ministry of Education,College of Pastoral Agriculture Science and Technology,Lanzhou University,Lanzhou 730020,Gansu,China;Xinjiang Key Laboratory of Desert Plant Roots Ecology and Vegetation Restoration,Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Urumqi 830011,Xinjiang,China;College of Grassland Science/Key Laboratory of Grassland Ecosystem of the Ministry of Education,Gansu Agricultural University,Lanzhou 730020,Gansu,China;Noble Research Institute,LLC,Ardmore,OK 73401,USA
Microrna-1224-5p Is a Potential Prognostic and Therapeutic Biomarker in Glioblastoma:Integrating Bioinformatics and Clinical Analyses
Xing WEI;Qing-mei ZHANG;Chang LIU;Song WU;Wei-xia NONG;Ying-ying GE;Li-na LIN;Feng LI;Xiao-xun XIE;Bin LUO-Department of Histology and Embryology,School of Pre-clinical Medicine,Guangxi Medical University,Nanning 530021,China;Department of Neurology,the First Affiliated Hospital,Guangxi Medical University,Nanning 530021,China;Central Laboratory of Pre-Clinical Medicine(Key Laboratory of Guangxi Colleges and Universities),Guangxi Medical University,Nanning 530021,China;Department of Neurosurgery,the First Affiliated Hospital,Guangxi Medical University,Nanning 530021,China;Key Laboratory of Early Prevention and Treatment of Regional High Frequency Tumor(Guangxi Medical University),Ministry of Education,Nanning 530021,China
SOPHIE:Generative Neural Networks Separate Common and Specific Transcriptional Responses
Alexandra J.Lee;Dallas L.Mould;Jake Crawford;Dongbo Hu;Rani K.Powers;Georgia Doing;James C.Costello;Deborah A.Hogan;Casey S.Greene-Genomics and Computational Biology Graduate Program,University of Pennsylvania,Philadelphia,PA 19104,USA;Department of Microbiology and Immunology,Geisel School of Medicine at Dartmouth,Hanover,NH 03755,USA;Department of Systems Pharmacology and Translational Therapeutics,University of Pennsylvania,Philadelphia,PA 19104,USA;Wyss Institute for Biologically Inspired Engineering,Harvard University,Boston,MA 02115,USA;Department of Pharmacology,University of Colorado School of Medicine,Denver,CO 80045,USA;Center for Health AI,University of Colorado School of Medicine,Denver,CO 80045,USA;Department of Biochemistry and Molecular Genetics,University of Colorado School of Medicine,Denver,CO 80045,USA
机标中图分类号,由域田数据科技根据网络公开资料自动分析生成,仅供学习研究参考。