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Prediction of Non-Coding sRNAs and Screening of Virulence-Related sRNAs of Salmonella Pullorum

ABSTRACT: Purpose: Searching for sRNAs in Salmonella pullorum by RNA sequencing and exploring their functions.Methods: High-throughput sequencing of RNA extracted from Salmonella pullorum under normal growth conditions to detect newly discovered sRNAs, followed by experiments to verify their functions.Results: The proportion of Clean Reads of this sequencing was >65%, and the base Q30s were all above 85%, indicating that the sequencing quality is good and can be used for subsequent analysis. The sRNAscanner software predicted that 148 new sRNAs might exist on the reference genome of Salmonella fowl dysentery, and the reads obtained from sequencing were compared to the genome, and it was found that 110 out of the 148 newly predicted sRNAs could be detected.Conclusions: sRNAs are widely found in bacteria and are involved in many physiological processes. In this study, we detected new sRNAs in Salmonella pullorum by RNA-seq, which lays the foundation for the subsequent investigation of the regulatory functions of sRNAs in bacteria.

ORGANISM(S): Salmonella enterica subsp. enterica serovar Pullorum

PROVIDER: GSE269156 | GEO | 2024/06/10

REPOSITORIES: GEO

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Project description:Several reports have described the involvement of miRNAs in abiotic stresses. However, their role in biotic stress or to beneficial microbes has not been fully explored. In order to understand on the epigenetic regulation in plant in response to nitrogen-fixing bacteria association, we analyzed the sRNA regulation in maize hybrids (Zea mays M-bM-^@M-^S UENF 506-8) inoculated with the beneficial diazotrophic bacteria (Herbaspirillum seropedicae). Deep sequencing analysis was carried out to identify the sRNAs regulated in maize during association with diazotrophic bacteria. For this analysis, maize plants were germinated in wet paper and put in hydroponic system with HoaglandM-bM-^@M-^Ys solution and then inoculated with H. seropedicae for seven days. Mock and inoculated plants were collected and total RNA from a pool of samples was extracted with Trizol reagent. The two sRNA libraries were sequenced by Illumina. The sequences were filtered to remove adaptors and contaminants rRNA and tRNAs, and sequences with 18-28 nt in length were selected. To identify the miRNAs present in these libraries, we used two strategies using the same website (http://srna-tools.cmp.uea.ac.uk): one to identify novel miRNAs using the maize genome (verson 2) and miRCat pipeline; and other to identify conserved miRNAs using the miRBase database (release 13.0, http://microrna.sanger.ac.uk) and miRProf pipeline. We identified 17 novel putative miRNAs candidates and mapped the precursor of these miRNAs in the maize genome. Furthermore, we identified 25 conserved miRNAs families and the differential expressions were analyzed with miRProf pipeline. The bioinformatics analysis of four up-regulated miRNAs (miR397, miR398, miR408 and miR528) in inoculated plant was validated using stemM-bM-^@M-^Sloop RT-PCR assay. Our findings contribute to increase the knowledge of the molecular relation between plants and endophytic bacteria. Screenning of sRNA transcriptome of maize plants inoculated with Herbaspirillum seropedicae after seven days

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Prediction of Non-Coding sRNAs and Screening of Virulence-Related sRNAs of Salmonella Pullorum

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