Unknown,Transcriptomics,Genomics,Proteomics

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Transcriptome profile of Herbaspirillum seropedicae SmR1 grown in the presence of aromatic compounds

ABSTRACT: Herbaspirillum seropedicae SmR1 was grown in NFbHPN medium until OD600nm of 0.6, when 5mM phenol or 2,5mM benzoic acid was added to the medium. After 30 minutes of growth, the cells were collected by centrifugation and total RNA was extracted with RiboPureBacteria. Also, a derivative strain from Herbaspirillum seropedicae SmR1 resistant to 1mM phenol (named strain RP) was grown in NFbHPN medium containing 1mM phenol until OD600nm of 0.6, then 5mM phenol was added to the medium. After 30 minutes of growth, the cells were collected by centrifugation and total RNA was extracted with RiboPureBacteria. All samples were depleted for ribossomal RNA e sequenced with Solid plataform.

INSTRUMENT(S): AB SOLiD 3 Plus System

ORGANISM(S): Herbaspirillum seropedicae SmR1

SUBMITTER: Eduardo Balsanelli

PROVIDER: E-MTAB-3467 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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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

Project description:Purpose: The global changes of H. seropedicae SmR1 were evaluated in response to environmental Pi conditions, based on differential intracellular polyP levels Methods: Three independent samples (biological replicates) of H. seropedicae SmR1 cells grown in NFb5 or NFb50 media after 9 h of growth were used to construct 6 sequencing libraries.The libraries were amplified and enriched using the Ion PI Hi-QTM OT2 200 Kit, and sequenced with the Ion PI Hi-QTM Sequencing 200 kit on an Ion PITM Chip Kit v3. Obtained sequences were trimmed, mapped and analyzed using CLC Genomics Workbench 7.5.1 (Qiagen) against the H. seropedicae SmR1 genome (NC_014323). Differential gene expression was accessed using the DESeq2 package. qRT–PCR validation was performed using High Capacity cDNA Reverse Transcription Kit (Applied Biosystems), and quantified in triplicate using the Power SYBR-Green PCR MasterMix on a Step-One Plus Real Time-PCR System (Applied Biosystems). Results: After sequencing, 26 and 35 total million reads were obtained for NFb50 and NFb5 conditions, respectively, and from those, 12 million and 16 million reads were uniquely mapped to the H. seropedicae SmR1 genome. Biological replicates showed a very high level of correlation (r2 > 0.98). Among the 4805 genes of the H. seropedicae SmR1 genome, 3976 genes were expressed considering a read coverage equal or higher than three-fold. 1330 genes show expression levels statistically different (p-value ≤ 0.05) from which 670 had fold changes of 2 or higher and were considered differentially expressed genes (DEG) in NFb50 vs NFb5 transcriptome, being 385 down-regulated and 285 up-regulated. To confirm the differential expression observed by the RNA-seq data, the regulation of some genes was confirmed by RT-qPCR. Molecular and physiological analyses revealed that features related to Pi metabolism, bacterial flagella biosynthesis and chemotaxis, energy production, and polyhydroxybutyrate metabolism were induced in the mentioned condition, while aspects involved in adhesion, and stress response were repressed. Since environmental conditions can influence the effectiveness of the PGPB, enhancement of bacterial robustness to withstand different conditions is an interesting challenge Conclusions: The present study demonstrated that variations in environmental Pi concentration affect H. seropedicae bacterial traits related to survival and other important physiological characteristics. The obtained data could serve not only to understand the bacterial behavior in respect to changes in rhizospheric Pi gradients, but also as a base to design strategies to improve different bacterial features focusing in biotechnological and/or agricultural purposes.

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Transcriptome profile of Herbaspirillum seropedicae SmR1 grown in the presence of aromatic compounds

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