학술논문
Co-expression network analysis and identification of core genes in the interaction between wheat and Puccinia striiformis f. sp. tritici.
Document Type
Academic Journal
Author
Wang Y; Key Laboratory of Tobacco Biotechnological Breeding, Yunnan Academy of Tobacco Agricultural Sciences, National Tobacco Genetic Engineering Research Centre, Kunming, 650021, China.; State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.; University of Chinese Academy of Sciences, Beijing, 100049, China.; Zhang K; Yunnan Tobacco Quality Inspection & Supervision Station, Kunming, 650106, People's Republic of China.; Chen D; Yunnan Tobacco Quality Inspection & Supervision Station, Kunming, 650106, People's Republic of China.; Liu K; Yunnan Tobacco Quality Inspection & Supervision Station, Kunming, 650106, People's Republic of China.; Chen W; Yunnan Tobacco Quality Inspection & Supervision Station, Kunming, 650106, People's Republic of China.; He F; State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China.; University of Chinese Academy of Sciences, Beijing, 100049, China.; Centre of Excellence for Plant and Microbial Science (CEPAMS), JIC-CAS, Beijing, 100101, China.; Tong Z; Key Laboratory of Tobacco Biotechnological Breeding, Yunnan Academy of Tobacco Agricultural Sciences, National Tobacco Genetic Engineering Research Centre, Kunming, 650021, China. tzj861@163.com.; Luo Q; State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, China. lql2014@genetics.ac.cn.
Source
Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 0410427 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-072X (Electronic) Linking ISSN: 03028933 NLM ISO Abbreviation: Arch Microbiol Subsets: MEDLINE
Subject
Language
English
Abstract
The epidemic of stripe rust, caused by the pathogen Puccinia striiformis f. sp. tritici (Pst), would reduce wheat (Triticum aestivum) yields seriously. Traditional experimental methods are difficult to discover the interaction between wheat and Pst. Multi-omics data analysis provides a new idea for efficiently mining the interactions between host and pathogen. We used 140 wheat-Pst RNA-Seq data to screen for differentially expressed genes (DEGs) between low susceptibility and high susceptibility samples, and carried out Gene Ontology (GO) enrichment analysis. Based on this, we constructed a gene co-expression network, identified the core genes and interacted gene pairs from the conservative modules. Finally, we checked the distribution of Nucleotide-binding and leucine-rich repeat (NLR) genes in the co-expression network and drew the wheat NLR gene co-expression network. In order to provide accessible information for related researchers, we built a web-based visualization platform to display the data. Based on the analysis, we found that resistance-related genes such as TaPR1, TaWRKY18 and HSP70 were highly expressed in the network. They were likely to be involved in the biological processes of Pst infecting wheat. This study can assist scholars in conducting studies on the pathogenesis and help to advance the investigation of wheat-Pst interaction patterns.
(© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
(© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)