Project description:Biological control is a promising approach to control diseases caused by Pythium species. Unusually for a single genus, the Pythium genus also includes species that can antagonise Pythium plant pathogens, such as Pythium oligandrum. These Pythium plant pathogens are commonly found in the soil such as the broad host-range pathogen Pythium myriotylum and cause various diseases of important crops. While P. oligandrum genes expressed in the interaction with oomycete plant pathogens have been identified previously, the transcriptional response of an oomycete plant pathogen to P. oligandrum has not been investigated. An isolate of P. oligandrum, GAQ1, recovered from soil could antagonise P. myriotylum in a plate-based confrontation assay. The P. oligandrum isolate had a strong disease control effect on soft-rot of ginger caused by P. myriotylum. We investigated the transcriptional interaction between P. myriotylum and P. oligandrum. As part of the transcriptional response of P. myriotylum to the presence of P. oligandrum, putative effector genes such as a sub-set of Kazal-type protease inhibitors were strongly upregulated. P. myriotylum cellulases and elicitin-like putative effectors were also upregulated. In P. oligandrum, cellulases, peroxidases, proteases and NLP effectors were upregulated. The transcriptional response of P. myriotylum suggests clear features of a counter-attacking strategy that may contribute to the variable success and durability of biological attempts to control diseases caused by Pythium species. Whether aspects of this counter-attack could inhibit aspects of this virulence of P. myriotylum is another interesting aspect for future studies.
Project description:Oomycetes, such as the broad host-range necrotrophic plant pathogen Pythium myriotylum, cause devastating crop losses. We have previously identified P. myriotylum as the major pathogen infecting ginger (Zingiber officinale) rhizomes in China with symptoms of Pythium soft rot (PSR) disease. Ginger is an important crop with global production estimated at approximately three million metric tonnes with about 20% of this production in China. To better understand how P. myriotylum infects ginger, transcriptomic analysis was performed on two P. myriotylum isolates (SWQ7 and SL2) infecting ginger leaves. From both of the isolates, there was a clear separation between the transcriptome replicates from the mycelial control condition and those from the infection of the ginger leaf. In SWQ7 and SL2, there were 2,110 and 2,513 genes upregulated during infection of ginger, respectively. Of the putative effectors, a subset of the NEP1-like toxin protein (NLP) effectors were highly induced during the infection of ginger leaves. Insights from the transcriptome highlight the important role of a subset of plant cell wall degrading enzymes (PCWDEs) and effectors in the pathogenicity of P. myriotylum towards ginger. The surprisingly large numbers of P. myriotylum PCWDEs and effectors within the genome may be due to the broad host-range of P. myriotylum whereby particular subsets of the PCWDEs and effectors are required for pathogenicity towards particular hosts.
Project description:The oomycete Pythium oligandrum is a potential biocontrol agent to control a wide range of fungal and oomycetes-caused diseases such as Pythium myriotylum-caused rhizome rot in ginger leading to reduced yields and compromised quality. Previously, P. oligandrum has been studied for its plant growth-promoting potential by auxin production and induction of disease resistance by elicitors such as oligandrin. Volatile organic compounds (VOCs) play beneficial roles in sustainable agriculture by enhancing plant growth and resistance. We investigated the contribution of P. oligandrum-produced VOCs on plant growth and disease suppression by initially using N. benthamiana plants for screening. P. oligandrum VOCs significantly enhanced tobacco seedling and plant biomass content. Screening of the individual VOCs showed that 3-octanone and hexadecane promoted the growth of tobacco seedlings. The total VOCs from P. oligandrum also enhanced the shoot and root growth of ginger plants. Transcriptomic analysis showed a higher expression of genes related to plant growth hormones, and stress responses in the leaves of ginger plants exposed to P. oligandrum VOCs. The concentrations of plant growth hormones such as auxin, zeatin, and gibberellic acid were higher in the leaves of ginger plants exposed to P. oligandrum VOCs. In a ginger disease biocontrol assay, the VOC-exposed ginger plants infected with P. myriotylum had lower levels of disease severity. We conclude that this study contributes to understanding the growth-promoting mechanisms of P. oligandrum on ginger and tobacco, priming of ginger plants against various stress and the mechanisms of action of P. oligandrum as a biocontrol agent.
Project description:We performed transcriptome assembly and gene expression analysis using short-read sequencing technology combined with a tag-based digital gene expression (DGE) system. The results generated a total number of 13,288,892 reads (accumulated length of 1,196,000,280 nt), 169,579 contings and 23,796 unigenes. Based on similarity search with known proteins, a total of 9,398 unigenes were identified with a cut-off E-value of 10-5. Assembled sequences were annotated with gene descriptions, such as gene ontology (GO) and clusters of orthologous group terms (COG). In addition, we obtained approximately 6 million raw tags and a larger number of genes at different fermentation stages (48 h, 100 h and 144 h). The related genes of growth characteristic and lipid biosynthesis were analyzed in detail. Some genes associated with the lipid biosynthesis were selected randomly to confirm digital gene expression (DGE) results by quantitative real-time PCR (qRT-PCR). The transcriptome improves our genetic understanding of Pythium splendens RBB-5 greatly and makes a large number of available gene sequences for further study. Notably, the transcriptome and DGE profiling data of Pythium splendens RBB-5 provide the comprehensive insight into gene expression profiles at different fermentation stages and lay a foundation for further study of optimizing lipid content and growth speed at the molecular level.