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      Transcriptome Analysis Identifies Candidate Genes and Functional Pathways Controlling the Response of Two Contrasting Barley Varieties to Powdery Mildew Infection

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          Abstract

          Powdery mildew caused by Blumeria graminis f. sp. hordei ( Bgh) is one of the most serious diseases in barley. The numerous barley varieties across China provide valuable genetic resources to screen the resistant germplasm and to discover the primary genes of resistance to powdery mildew. In this study, Chinese barley variety Feng 7 was identified as a highly resistant genotype which limited Bgh colonization by cell apoptosis using leaf staining assay, while another variety Hua 30 showed high susceptibility. The performance of high resistance to Bgh in F 1 plants from the two varieties suggested dominant gene(s) controlled the resistance to powdery mildew in Feng 7. To understand the host transcriptional response to Bgh infection, these two barley varieties Feng 7 and Hua 30 were inoculated with Bgh, and their transcriptional profiling using RNA sequencing (RNA-seq) at four time points (12 h post-inoculation (hpi), 24 hpi, 48 hpi, and 72 hpi) were compared. 4318 differentially expressed genes (DEGs), including 2244 upregulated and 2074 downregulated genes, were detected in Feng 7, compared with Hua 30 at 12 hpi. 4907 DEGs (2488 upregulated and 2419 downregulated) were detected at 24 hpi. 4758 DEGs (2295 upregulated and 2463 downregulated) were detected at 48 hpi. 3817 DEGs (2036 upregulated and 1781 downregulated) were detected at 72 hpi. The results showed the number of DEGs between two varieties peaked at 24 hpi (for the upregulated) or 48 hpi (for the downregulated), which is matched with the processing of Bgh infection. In addition, the number of upregulated DEGs involved in the functional pathways of plant defense (mitogen-activated protein kinase (MAPK) pathway and plant hormone signal transduction) is elevated remarkably at 24 hpi. Six candidate genes ( PR13, glutaredoxin, alcohol dehydrogenase, and cytochrome P450) were identified in Feng 7. All of them present continuous expression at higher levels upon Bgh infection, compared with the performance in Hua 30, which revealed the potential contribution to Feng 7 mediate resistance to Bgh. In conclusion, the candidate genes and relevant pathways provided key information towards understanding the defense of barley to Bgh attack and the molecular mechanisms of different genetic resistance to powdery mildew.

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          Most cited references35

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          Defensins: antimicrobial peptides of innate immunity.

          Tomas Ganz (2003)
          The production of natural antibiotic peptides has emerged as an important mechanism of innate immunity in plants and animals. Defensins are diverse members of a large family of antimicrobial peptides, contributing to the antimicrobial action of granulocytes, mucosal host defence in the small intestine and epithelial host defence in the skin and elsewhere. This review, inspired by a spate of recent studies of defensins in human diseases and animal models, focuses on the biological function of defensins.
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            STEM: a tool for the analysis of short time series gene expression data

            Background Time series microarray experiments are widely used to study dynamical biological processes. Due to the cost of microarray experiments, and also in some cases the limited availability of biological material, about 80% of microarray time series experiments are short (3–8 time points). Previously short time series gene expression data has been mainly analyzed using more general gene expression analysis tools not designed for the unique challenges and opportunities inherent in short time series gene expression data. Results We introduce the Short Time-series Expression Miner (STEM) the first software program specifically designed for the analysis of short time series microarray gene expression data. STEM implements unique methods to cluster, compare, and visualize such data. STEM also supports efficient and statistically rigorous biological interpretations of short time series data through its integration with the Gene Ontology. Conclusion The unique algorithms STEM implements to cluster and compare short time series gene expression data combined with its visualization capabilities and integration with the Gene Ontology should make STEM useful in the analysis of data from a significant portion of all microarray studies. STEM is available for download for free to academic and non-profit users at .
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              THE OXIDATIVE BURST IN PLANT DISEASE RESISTANCE.

              Rapid generation of superoxide and accumulation of H2O2 is a characteristic early feature of the hypersensitive response following perception of pathogen avirulence signals. Emerging data indicate that the oxidative burst reflects activation of a membrane-bound NADPH oxidase closely resembling that operating in activated neutrophils. The oxidants are not only direct protective agents, but H2O2 also functions as a substrate for oxidative cross-linking in the cell wall, as a threshold trigger for hypersensitive cell death, and as a diffusible signal for induction of cellular protectant genes in surrounding cells. Activation of the oxidative burst is a central component of a highly amplified and integrated signal system, also involving salicylic acid and perturbations of cytosolic Ca2+, which underlies the expression of disease-resistance mechanisms.
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                Author and article information

                Journal
                Int J Mol Sci
                Int J Mol Sci
                ijms
                International Journal of Molecular Sciences
                MDPI
                1422-0067
                24 December 2019
                January 2020
                : 21
                : 1
                : 151
                Affiliations
                Biotech Research Institute, Shanghai Academy of Agricultural Sciences/Key Laboratory of Agricultural Genetics and Breeding, Shanghai 201106, China; liyingbo163@ 123456163.com (Y.L.); guo_gm@ 123456126.com (G.G.); zhoulonghua@ 123456saas.sh.cn (L.Z.); cyy_082@ 123456163.com (Y.C.); 18916925917@ 123456163.com (Y.Z.); sw1@ 123456saas.sh.cn (J.H.)
                Author notes
                [* ]Correspondence: cs7@ 123456saas.sh.cn (R.L.); liuchenghong@ 123456saas.sh.cn (C.L.); Tel.: +86-21-6220-3071 (C.L.)
                [†]

                These authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-5982-486X
                Article
                ijms-21-00151
                10.3390/ijms21010151
                6982059
                31878350
                8484c730-5e14-4036-b9aa-3599ef9fcd04
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 01 November 2019
                : 20 December 2019
                Categories
                Article

                Molecular biology
                powdery mildew,barley,plant defense,transcriptome analysis
                Molecular biology
                powdery mildew, barley, plant defense, transcriptome analysis

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