Project description:Sensitive models of climate change impacts would require a better integration of multi-omics approaches that connect the abundance and activity of microbial populations. Here, we show that climate is a fundamental driver of the protein abundance of microbial populations (metaproteomics), yet not their genomic abundance (16S rRNA gene amplicon sequencing), supporting the hypothesis that metabolic activity may be more closely linked to climate than community composition.
Project description:Purpose: Pre-ribosomal RNA is cleaved at defined sites, but many endonucleases involved in 18S rRNA release are not known. We apply an in vivo cross-linking technique coupled with deep sequencing (CRAC) that captures transcriptome-wide interactions between a yeast candidate pre-rRNA endonuclease (Utp24) and its targets in a living cell. Methods: We apply CRAC to an HTP-tagged Utp24 protein (HTP: His6 - TEV cleavage site - two copies of the z-domain of Protein A). At least two independent experiments were performed and analyzed separately. Results: We found that yeast Utp24 UV-crosslinked in vivo to the U3 snoRNA and all (pre-)rRNA elements that form the central pseudoknot in the 18S rRNA. The pseudoknot is an evolutionarily highly conserved structure that is required to ensure pre-rRNA processing at three cleavage sites (A0, A1 and A2) and still present in the mature rRNA. According to our crosslinking data, the endonuclease Utp24 is placed in close proximity to site A1 at the 5'-end of the 18S rRNA. Conclusion: Our study strongly supports the hypothesis that Utp24 cleaves pre-rRNA at sites A1 and A2. Examination of targets for pre-rRNA endonucleases in yeast cells.
Project description:Purpose: Pre-ribosomal RNA is cleaved at defined sites, but many endonucleases involved in 18S rRNA release are not known. We apply an in vivo cross-linking technique coupled with deep sequencing (CRAC) that captures transcriptome-wide interactions between a yeast candidate pre-rRNA endonuclease (Utp24) and its targets in a living cell. Methods: We apply CRAC to an HTP-tagged Utp24 protein (HTP: His6 - TEV cleavage site - two copies of the z-domain of Protein A). At least two independent experiments were performed and analyzed separately. Results: We found that yeast Utp24 UV-crosslinked in vivo to the U3 snoRNA and all (pre-)rRNA elements that form the central pseudoknot in the 18S rRNA. The pseudoknot is an evolutionarily highly conserved structure that is required to ensure pre-rRNA processing at three cleavage sites (A0, A1 and A2) and still present in the mature rRNA. According to our crosslinking data, the endonuclease Utp24 is placed in close proximity to site A1 at the 5'-end of the 18S rRNA. Conclusion: Our study strongly supports the hypothesis that Utp24 cleaves pre-rRNA at sites A1 and A2.
Project description:The association between soil microbes and plant roots is present in all natural and agricultural environments. Microbes can be beneficial, pathogenic, or neutral to the host plant development and adaptation to abiotic or biotic stresses. Progress in investigating the functions and changes in microbial communities in diverse environments have been rapidly developing in recent years, but the changes in root function is still largely understudied. The aim of this study was to determine how soil bacteria influence maize root transcription and microRNAs (miRNAs) populations in a controlled inoculation of known microbes over a defined time course. At each time point after inoculation of the maize inbred line B73 with ten bacterial isolates, DNA and RNA were isolated from roots. The V4 region of the 16S rRNA gene was amplified from the DNA and sequenced with the Illumina MiSeq platform. Amplicon sequencing of the 16S rRNA gene indicated that most of the microbes successfully colonized maize roots. The colonization was dynamic over time and varied with the specific bacterial isolate. Small RNA sequencing and mRNA-Seq was done to capture changes in the root transcriptome from 0.5 to 480 hours after inoculation. The transcriptome and small RNA analyses revealed epigenetic and transcriptional changes in roots due to the microbial inoculation. This research provides the foundational data needed to understand how plant roots interact with bacterial partners and will be used to develop predictive models for root response to bacteria.
Project description:Purpose: Pre-ribosomal RNA is cleaved at defined sites to release the mature ribosomal RNAs, but the functions of many ribosome biogenesis factors involved in 18S rRNA release are not known. We apply an in vivo cross-linking technique coupled with deep sequencing (CRAC) that captures transcriptome-wide interactions between the yeast PIN domain protein Utp23 and its targets in a living cell. Methods: We apply CRAC to an HTP-tagged Utp23 protein (HTP: His6 - TEV cleavage site - two copies of the z-domain of Protein A) in budding yeast. At least two independent experiments were performed and analysed separately. A non-tagged yeast strain was also used as a negative control. Results: We found that yeast Utp23 UV-crosslinked in vivo to the snR30 snoRNA and to the eukaryotic-specific expansion segment 6 (ES6) in the 18S rRNA. Conclusion: According to our crosslinking data, Utp23 is perfectly positioned to coordinate release of the snR30 snoRNA from the 18S ES6 region.
Project description:Iron-rich pelagic aggregates (iron snow) were collected directly onto silicate glass filters using an electronic water pump installed below the redoxcline. RNA was extracted and library preparation was done using the NEBNext Ultra II directional RNA library prep kit for Illumina. Data was demultiplied by GATC sequencing company and adaptor was trimmed by Trimgalore. After trimming, data was processed quality control by sickle and mRNA/rRNA sequences were sorted by SortmeRNA. mRNA sequences were blast against NCBI-non redundant protein database and the outputs were meganized in MEGAN to do functional analysis. rRNA sequences were further sorted against bacterial/archeal 16S rRNA, eukaryotic 18S rRNA and 10,000 rRNA sequences of bacterial 16S rRNA, eukaryotic 18S rRNA were subset to do taxonomy analysis.
Project description:Purpose : The goal of this study was to use RNA Seq to validate transcriptional data of two clinical isolates focussing on a subset of 74 transcript that were selected specifically for Nanostring analysis. Methods : mRNA profiles were generated for the clinical isolates FRD1 and CI224_M, in duplicate, by deep sequencing. Strains were grown for 8 hours in LB medium at 37C prior to RNA harvest. Ribosomal RNA was removed using the Ribi-Zero rRNA Removal Kit (Epicentre). mRNA reads were trimmed and mapped to the PAO1 NC_002516 reference genome from NCBI using the ClC Genomics Workbench platform and defaut parameters. mRNA profiles of liquid cultures grown for 8 hours in LB at 37C were generated for P. aeruginosa clinical isolates FRD1 and CI224_M, each in duplicate, by deep sequencing using Illumina NextSeq.