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Transcriptomic profile of tobacco in response to Alternaria longipes and Alternaria alternata infections.

ABSTRACT: Tobacco brown spot caused by Alternaria fungal species is one of the most damaging diseases, and results in significant yield losses. However, little is known about the systematic response of tobacco to this fungal infection. To fill this knowledge gap, de novo assemblies of tobacco leaf transcriptomes were obtained in cultivars V2 and NC89 after the inoculation of either Alternaria longipes (AL) or Alternaria alternata (AA) at three different time points. We studied the gene expression profile of each cultivar-pathogen combination, and identified eight differentially expressed genes shared among all combinations. Gene ontology enrichment analysis of the differentially expressed genes revealed key components during the fungal infection, which included regulation of gene expression (GO:0010468), regulation of RNA metabolic process (GO:0051252), tetrapyrrole binding (GO:0046906), and external encapsulating structure (GO:0030312). Further analyses of the continuously upregulated/downregulated genes and the resistance genes demonstrated that the gene expression profile upon fungal infection was contingent on the specific cultivar and pathogen. In conclusion, this study provides a solid foundation for the investigation of plant-pathogen interaction, and is of great importance for disease prevention and molecular breeding.

SUBMITTER: Duan S

PROVIDER: S-EPMC4860569 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature

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Transcriptomic profile of tobacco in response to Alternaria longipes and Alternaria alternata infections.

Duan Shengchang S Ma Xiao X Chen Wei W Wan Wenting W He Yuqi Y Ma Xiaoqin X Ma Yujin Y Long Ni N Tan Yuntao Y Wang Yangzi Y Hou Yujie Y Dong Yang Y

Scientific reports 20160509

Tobacco brown spot caused by Alternaria fungal species is one of the most damaging diseases, and results in significant yield losses. However, little is known about the systematic response of tobacco to this fungal infection. To fill this knowledge gap, de novo assemblies of tobacco leaf transcriptomes were obtained in cultivars V2 and NC89 after the inoculation of either Alternaria longipes (AL) or Alternaria alternata (AA) at three different time points. We studied the gene expression profile ...[more]

PMID: 27157477

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Project description:BackgroundBlack spot disease in tree peony caused by the fungal necrotroph A. alternata, is a primary limiting factor in the production of the tree peony. The intricate molecular mechanisms underlying the tree peony resistance to A. alternata have not been thoroughly investigated.ResultsThe present study utilized high-throughput RNA sequencing (RNA-seq) technology to conduct global expression profiling, revealing an intricate network of genes implicated in the interaction between tree peony and A. alternata. RNA-Seq libraries were constructed from leaf samples and high-throughput sequenced using the BGISEQ-500 sequencing platform. Six distinct libraries were characterized. M1, M2 and M3 were derived from leaves that had undergone mock inoculation, while I1, I2 and I3 originated from leaves that had been inoculated with the pathogen. A range of 10.22-11.80 gigabases (Gb) of clean bases were generated, comprising 68,131,232 - 78,633,602 clean bases and 56,677 - 68,996 Unigenes. A grand total of 99,721 Unigenes were acquired, boasting a mean length of 1,266 base pairs. All these 99,721 Unigenes were annotated in various databases, including NR (Non-Redundant, 61.99%), NT (Nucleotide, 45.50%), SwissProt (46.32%), KEGG (Kyoto Encyclopedia of Genes and Genomes, 49.33%), KOG (clusters of euKaryotic Orthologous Groups, 50.18%), Pfam (Protein family, 47.16%), and GO (Gene Ontology, 34.86%). In total, 66,641 (66.83%) Unigenes had matches in at least one database. By conducting a comparative transcriptome analysis of the mock- and A. alternata-infected sample libraries, we found differentially expressed genes (DEGs) that are related to phytohormone signalling, pathogen recognition, active oxygen generation, and circadian rhythm regulation. Furthermore, multiple different kinds of transcription factors were identified. The expression levels of 10 selected genes were validated employing qRT-PCR (quantitative real-time PCR) to confirm RNA-Seq data.ConclusionsA multitude of transcriptome sequences have been generated, thus offering a valuable genetic repository for further scholarly exploration on the immune mechanisms underlying the tree peony infected by A. alternata. While the expression of most DEGs increased, a few DEGs showed decreased expression.

Dataset Information

Transcriptomic profile of tobacco in response to Alternaria longipes and Alternaria alternata infections.

Publications

Transcriptomic profile of tobacco in response to Alternaria longipes and Alternaria alternata infections.

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