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      Analysis of the resistance mechanisms in sugarcane during Sporisorium scitamineum infection using RNA-seq and microscopy

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          Abstract

          Smut caused by biotrophic fungus Sporisorium scitamineum is a major disease of cultivated sugarcane that can cause considerable yield losses. It has been suggested in literature that there are at least two types of resistance mechanisms in sugarcane plants: an external resistance, due to chemical or physical barriers in the sugarcane bud, and an internal resistance governed by the interaction of plant and fungus within the plant tissue. Detailed molecular studies interrogating these two different resistance mechanisms in sugarcane are scarce. Here, we use light microscopy and global expression profiling with RNA-seq to investigate these mechanisms in sugarcane cultivar CP74-2005, a cultivar that possibly possesses both internal and external defence mechanisms. A total of 861 differentially expressed genes (DEGs) were identified in a comparison between infected and non-infected buds at 48 hours post-inoculation (hpi), with 457 (53%) genes successfully annotated using BLAST2GO software. This includes genes involved in the phenylpropanoid pathway, cell wall biosynthesis, plant hormone signal transduction and disease resistance genes. Finally, the expression of 13 DEGs with putative roles in S. scitamineum resistance were confirmed by quantitative real-time reverse transcription PCR (qRT-PCR) analysis, and the results were consistent with the RNA-seq data. These results highlight that the early sugarcane response to S. scitamineum infection is complex and many of the disease response genes are attenuated in sugarcane cultivar CP74-2005, while others, like genes involved in the phenylpropanoid pathway, are induced. This may point to the role of the different disease resistance mechanisms that operate in cultivars such as CP74-2005, whereby the early response is dominated by external mechanisms and then as the infection progresses, the internal mechanisms are switched on. Identification of genes underlying resistance in sugarcane will increase our knowledge of the sugarcane- S. scitamineum interaction and facilitate the introgression of new resistance genes into commercial sugarcane cultivars.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences

            Increased reliance on computational approaches in the life sciences has revealed grave concerns about how accessible and reproducible computation-reliant results truly are. Galaxy http://usegalaxy.org, an open web-based platform for genomic research, addresses these problems. Galaxy automatically tracks and manages data provenance and provides support for capturing the context and intent of computational methods. Galaxy Pages are interactive, web-based documents that provide users with a medium to communicate a complete computational analysis.
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              Natural products and plant disease resistance.

              R Dixon (2001)
              Plants elaborate a vast array of natural products, many of which have evolved to confer selective advantage against microbial attack. Recent advances in molecular technology, aided by the enormous power of large-scale genomics initiatives, are leading to a more complete understanding of the enzymatic machinery that underlies the often complex pathways of plant natural product biosynthesis. Meanwhile, genetic and reverse genetic approaches are providing evidence for the importance of natural products in host defence. Metabolic engineering of natural product pathways is now a feasible strategy for enhancement of plant disease resistance.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Writing – original draft
                Role: Data curationRole: Formal analysisRole: ResourcesRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: Visualization
                Role: ConceptualizationRole: ResourcesRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: ResourcesRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                24 May 2018
                2018
                : 13
                : 5
                : e0197840
                Affiliations
                [1 ] CSIRO Plant Industry, Queensland Bioscience Precinct, St Lucia, QLD, Australia
                [2 ] Sugar Research Australia Ltd (SRA), Woodford, Australia
                Stony Brook University, UNITED STATES
                Author notes

                Competing Interests: As indicated in the Funding Statement, SRA provided funding for this study as well as support in the form of salaries for authors SAB and BJC. This support from SRA does not alter our adherence to PLOS ONE policies on sharing data and materials.

                Author information
                http://orcid.org/0000-0003-4671-7210
                Article
                PONE-D-17-40526
                10.1371/journal.pone.0197840
                5993111
                29795614
                5e7b8205-5726-4ed6-9eff-43dccf63f2b1
                © 2018 McNeil et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 4 December 2017
                : 9 May 2018
                Page count
                Figures: 4, Tables: 2, Pages: 28
                Funding
                Funded by: Sugar Research Australia Ltd
                Award ID: CPI026
                Award Recipient :
                This work was funded by Sugar Research Australia Ltd (Project: CPI026). The funder provided support in the form of salaries for authors SAB and BJC, but did not have any additional role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section.
                Categories
                Research Article
                Biology and Life Sciences
                Agriculture
                Crop Science
                Crops
                Sugarcane
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Grasses
                Sugarcane
                Biology and Life Sciences
                Genetics
                Gene Expression
                Biology and Life Sciences
                Plant Science
                Plant Anatomy
                Buds
                Biology and Life Sciences
                Computational Biology
                Genome Analysis
                Transcriptome Analysis
                Biology and Life Sciences
                Genetics
                Genomics
                Genome Analysis
                Transcriptome Analysis
                Biology and Life Sciences
                Plant Science
                Plant Pathology
                Plant Pathogens
                Biology and Life Sciences
                Plant Science
                Plant Physiology
                Plant Defenses
                Physical Sciences
                Chemistry
                Chemical Compounds
                Lignin
                Biology and Life Sciences
                Computational Biology
                Genome Analysis
                Gene Ontologies
                Biology and Life Sciences
                Genetics
                Genomics
                Genome Analysis
                Gene Ontologies
                Custom metadata
                The sequencing data has been deposited at NCBI/GenBank under the BioProject ID PRJNA415122 (SRP121526). All other relevant data are within the paper and its Supporting Information files.

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                Uncategorized

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