Transcriptome and differential expression analysis revealed the pathogenic-related genes in Magnaporthe oryzae during leaf and panicle infection

Author:

Du Yan,Liang Dong,Qi Zhongqiang,Yu Junjie,Zhang Rongsheng,Song Tianqiao,Yu Mina,Cao Huijuan,Pan Xiayan,Wang Shuchen,Qiao Junqing,Liu Youzhou,Liu YongfengORCID

Abstract

AbstractMagnaporthe oryzae is one of the most destructive pathogens that threaten rice production around the world. Previous studies mainly focus on pathogenic mechanism of M. oryzae during infection on rice at leaf stage. However, the pathogenic mechanism of M. oryzae infection on panicle tissue is not well understood. In the present study, we performed RNA sequencing (RNA-seq) to study gene expression patterns of M. oryzae during infection at leaf stage and at panicle stage, respectively. The differentially expressed genes (DEGs) of M. oryzae in the infected leaf and panicle tissues were analyzed. Gene ontology (GO) enrichment analysis of DEGs revealed that M. oryzae genes involved in the biological processes were different at leaf and panicle stages. Furthermore, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of DEGs indicates that genes related to individual and important pathways may function at different infection stages. In particular, CAZymes carbohydrate esterases (CEs), carbohydrate-binding modules (CBMs), and glycoside hydrolases (GHs) may play important roles during M. oryzae infection on rice leaves, while glycosyltransferases (GTs) and GHs may play important roles during infection at rice panicle stage. Further analysis of effectors (BAS3, BAS113, BAS162, MoCDIP4, and MoHEG13) and their homologous genes suggest that they are involved in host defense suppression. Our findings provide insights into understanding the infection mechanisms of M. oryzae for rice leaf blast and panicle blast disease.

Funder

the National Natural Science Foundation of China

Jiangsu Agricultural Science and Technology Innovation Fund

the Revitalization Foundation of Seed Industry of Jiangsu

Publisher

Springer Science and Business Media LLC

Reference44 articles.

1. Agrios G, Plant Pathology Academic Press San Diego. Plant pathology. 4th ed. San Diego: Academic Press; 1997.

2. Anders S, Huber W. Differential expression analysis for sequence count data. Genome Biol. 2010;11:R106.

3. Andrews S. FastQC: a quality control tool for high throughput sequence data. 2010. https://www.bioinformatics.babraham.ac.uk/projects/fastqc/.

4. Balal MS, Selim AK, Hassanien SH, Maximoos MA. Inheritance of resistance to leaf and neck blast in rice. Egypt J Genet Cytol. 1977;6(2):332–41.

5. Buchfink B, Xie C, Huson DH. Fast and sensitive protein alignment using DIAMOND. Nat Methods. 2015;12(1):59–60.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3