Dataset Information

Time-course differential profiles of proteins expressed in Spodoptera frugiperda during tritrophic interactions among EPN and associated bacteria by UPLC-Q-TOF (LC-MS/MS)

ABSTRACT: Entomopathogenic nematodes, the beneficial soil-dwelling nematodes identified with noteworthy ecological services of insect pest management, naturally, harbor and vector obligate bacterial symbionts which together cause rapid insect mortality. The tritrophism among the bacterium-nematode-insect host is a treasure box of biological, molecular and biochemical information that was examined to a limited extent in other studies. We have, herein, aimed at quantifying the concentration and at generating the total proteomic profiles of one insect host, Spodoptera frungiperda, during the progression of infection with 4 EPN and their associated bacteria, as compared to that of healthy controls. The time-course expression of larval proteins of the test insect, Spodoptera frugiperda, during the progression of larval mortality due to nematode-bacterium infection, more specifically,4 different combinations of Heterorhabditis indica-Photorhabdus luminescens, Steinernema spp. vs Xenorhabdus spp., respectively. The proteomic profiling was facilitated through LC-MS/MS. The data submitted relates to the insect protein profiles (LC-MSMS) in healthy, infected and morbid, and dead larvae of Spodoptera frugiperda.

ORGANISM(S): Spodoptera Frugiperda Heterorhabditis

SUBMITTER: NAGESH MANDADI

PROVIDER: PXD048520 | JPOST Repository | Mon Jan 13 00:00:00 GMT 2025

REPOSITORIES: jPOST

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	03102022_SF-AKGEL_02.raw.zip	Raw
	03102022_SF-CSDS_01.raw.zip	Raw
	03102022_SF-HBNG_01.raw.zip	Raw
	03102022_SF-HEALTHY_01.raw.zip	Raw
	03102022_SF-KRDEAD_02.raw.zip	Raw

Items per page:

1 - 5 of 20

Similar Datasets

Project description:Raghunathan2009 - Genome-scale metabolic network of Salmonella typhimurium (iRR1083) This model is described in the article: Constraint-based analysis of metabolic capacity of Salmonella typhimurium during host-pathogen interaction. Raghunathan A, Reed J, Shin S, Palsson B, Daefler S. BMC Syst Biol 2009; 3: 38 Abstract: BACKGROUND: Infections with Salmonella cause significant morbidity and mortality worldwide. Replication of Salmonella typhimurium inside its host cell is a model system for studying the pathogenesis of intracellular bacterial infections. Genome-scale modeling of bacterial metabolic networks provides a powerful tool to identify and analyze pathways required for successful intracellular replication during host-pathogen interaction. RESULTS: We have developed and validated a genome-scale metabolic network of Salmonella typhimurium LT2 (iRR1083). This model accounts for 1,083 genes that encode proteins catalyzing 1,087 unique metabolic and transport reactions in the bacterium. We employed flux balance analysis and in silico gene essentiality analysis to investigate growth under a wide range of conditions that mimic in vitro and host cell environments. Gene expression profiling of S. typhimurium isolated from macrophage cell lines was used to constrain the model to predict metabolic pathways that are likely to be operational during infection. CONCLUSION: Our analysis suggests that there is a robust minimal set of metabolic pathways that is required for successful replication of Salmonella inside the host cell. This model also serves as platform for the integration of high-throughput data. Its computational power allows identification of networked metabolic pathways and generation of hypotheses about metabolism during infection, which might be used for the rational design of novel antibiotics or vaccine strains. This model is hosted on BioModels Database and identified by: MODEL1507180058. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Project description:A genomic insight into how an insect pest responds to the infection of a fungal insect pathogen, such as Beauveria bassiana, is critical for alternative strategy of insect pest contol based on fungal insecticides but has not been well probed. Here we constructed three pairs of digital expression libraries (transcriptomes) of Plutella xylostella (global lepidopteran pest) larvae 24, 36 and 48 hours post treatment of infection (hptI) and control (hptC) to reveal the host response to B. bassiana infection at genomic level. The paired libraries comprised 2144, 3200 and 2967 differentially expressed genes (DEGs) of P. xylostella at 24, 36 and 48 hptI/hptC, respectively. These DEGs were enriched in various immune pathways activated by the fungal infection, such as the pathways of complement and coagulation cascades, protein digestion and absorption, and drug metabolism - cytochrome P450. We found that 24 hptI was critical either for the cuticular penetration of B. bassiana or for the initial activation of the host defense system. The host immune response peaked at 36 hptI so that multiple defense mechanisms were activated against the fungal entry into the host hemocoel. At 48 hptI, many host genes involved in immunity and metabolism were downregulated, suggesting a success of fungal localization in the host hemocoel by overcoming the host defense reaction. Finally, we revealed that several fungal pathways could play important roles in the host-pathogen interaction, such as antioxidant activity, peroxidase activity and proteolysis. Up to 1636 fungal genes were co-expressed at the three time points, and 116 of them encode putative secretion proteins. Our results provide a novel insight into the pathogen-insect interaction and help to probe molecular mechanisms involved in the control of P. xylostella by B. bassiana. Here we constructed three pairs of digital expression libraries (transcriptomes) of Plutella xylostella (global lepidopteran pest) larvae 24, 36 and 48 hours post treatment of infection (hptI) and control (hptC) to reveal the host response to B. bassiana infection at genomic level

Dataset Information

Time-course differential profiles of proteins expressed in Spodoptera frugiperda during tritrophic interactions among EPN and associated bacteria by UPLC-Q-TOF (LC-MS/MS)

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets