Ontology highlight
ABSTRACT:
PROVIDER: PRJNA770838 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR16308433_1.fastq.gz | Fastqsanger.gz | |||
| SRR16308433_2.fastq.gz | Fastqsanger.gz | |||
| SRR16308434_1.fastq.gz | Fastqsanger.gz | |||
| SRR16308434_2.fastq.gz | Fastqsanger.gz | |||
| SRR16308435_1.fastq.gz | Fastqsanger.gz |
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Project description:There is growing evidence that microbial plant symbionts shape interactions between plants and other organisms by modulating gene expression and metabolism. However, the detailed mechanisms mediating such effects are not well understood, particularly in systems where plants interact simultaneously with multiple symbionts and antagonists. In this study, we employed a multi-factorial design to explore the individual and combined effects of two plant-beneficial rhizobacteria (Delftia acidovorans and Bradyrhizobium japonicum) and a pathogen (Bean pod mottle virus: BPMV) on gene expression and metabolite production by soybean plants, as well as downstream effects on plant interactions with a beetle vector of BPMV Epilachna varivestis. Our results document microbial effects on basic metabolism and defense pathways, resulting in increased levels of primary metabolites and depletion of secondary metabolites. These changes are consistent with the observed feeding preferences of beetles for rhizobia- inoculated and virus-infected plants, potentially increasing the likelihood to disperse the virus to uninfected plants. Together, our results indicate that BPMV infection and rhizobacteria colonization cause dramatic changes in plant metabolites related to nutrition and defense, with significant consequences for an agriculturally important pathosystem.
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Project description:Biological samples of the pollen beetle were measured using nLC-MS/MS. Raw data from two experiments (A and B) are available. These experiments were performed to select novel markers for understanding resistance mechanisms with potential applicability in resistance targeting.
The entire combined/txt folder from MaxQuant data processing and the protein database used for the search (45540seq_blast2go_fasta) is available for download.
A) Thiacloprid and/or lambda-cyhalothrin-threatened pollen beetles
20171106_Erban_combined.txt
Raw data legend:
Sample No. 01-05: CON (control); Sample No. 06-10: CYH (cyhalothrin); Sample No. 11-15: THI (thiacloprid); Sample No. 16-20: C-T (cyhalothrin-thiacloprid)
B) Deltamethrin-threatened pollen beetles
20150929_Erban_combined.txt
Raw data legend (each sample has 3 analytical replicates):
Sample No. Erban_KO1-3: cont (control-treated beetles); Sample No. Erban_BZ1-3: surv (survivors - resistant); Sample No. Erban_BM1-3: dead (dead - paralyzed)
These raw LC-MS data were first used in DOI: 10.1016/j.jprot.2016.09.016.
2020-12-14 | MSV000086597 | MassIVE
Project description:Evolutionary history of tyrosine-supplementing endosymbionts in pollen-feeding Dasytinae (Coleoptera: Melyridae) beetles
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Project description:Host-microbe interactions are virtually bidirectional, benefiting both the host and microbial sides. It is becoming increasingly recognized the influence of the microbe on many aspects of host physiology and diseases, but whether/how the host affects their symbionts is poorly characterized. Here, we reported that the host acts as a critical factor to shape the lifestyle of their symbionts in the Drosophila and bacteria model system. First, we observe that Drosophila larvae play a pivotal role in competing with pathogenic symbionts in the co-existing niche. More specifically, host larvae antagonize symbionts by deconstructing the surface slick, preventing outgrowth and antagonizing the pathogenicity of S. marcescens. Furthermore, Drosophila larvae cause the shift in the transcriptomic profile of S. marcescens, characterized with the upregulated expression of genes related to bacterial proliferation and growth and the downregulated expression of genes related to bacterial pathogenicity. More importantly, advances in bacterial single-cell RNA sequencing provide opportunities to reveal transcriptional variation, including toxic factors, across individual cells and a subpopulation clustering of isogenic bacterial populations. Finally, we found that AMPs from larvae recapitulated the response of S. marcescens to the presence of Drosophila larvae. Altogether, these findings provide an insight into the pivotal roles of the host in influencing the potential pathogens' lifecycle switching from commensalism to pathogenicity, opening the door to a better understanding of the ecological relationships between the host and microbe.
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