Project description:This study provides comparative RNA-seq datasets for four freshwater bacterial isolates, Pseudomonas sp. FBCC-B13192, Herbaspirillum sp. FBCC-B12834, Pantoea sp. FBCC-B5559, and Micrococcus sp. FBCC-B5738, cultured under iron-replete (+100 uM FeCl3) and iron-limited (no FeCl3) conditions. Iron availability is a key factor influencing bacterial fitness, and iron limitation is known to activate siderophore biosynthesis, iron transport, and homeostasis pathways. A total of eight libraries generated in 2024 and 2025 were analyzed, comprising 349.9 million processed reads. Reference-guided mapping rates varied among strains, with higher mapping efficiency observed in Pseudomonas, Herbaspirillum, and Pantoea, while Micrococcus showed comparatively lower mapping rates under both conditions. Differential expression analysis revealed strain-specific responses to iron limitation. Genes related to pyoverdine and ferrichrome uptake were enriched in Pseudomonas and Herbaspirillum, enterobactin-associated pathways were prominent in Pantoea, and genes associated with siderophore production, heme utilization, and Fe-S cluster assembly were identified in Micrococcus. Raw sequencing data are available in the NCBI Sequence Read Archive under BioProject PRJNA1456794, and processed data are deposited in a public repository. These datasets provide a valuable resource for understanding bacterial adaptation to iron availability and for comparative transcriptomic analyses.
Project description:Purpose: Deconstructing the soil microbiome into reduced-complexity functional modules represents a novel method of microbiome analysis. The goals of this study are to confirm differences in transcriptomic patterns among five functional module consortia. Methods: mRNA profiles of 3 replicates each of functional module enrichments of soil inoculum in M9 media with either 1) xylose, 2) n-acetylglucosamine, 3) glucose and gentamycin, 4) xylan, or 5) pectin were generated by sequencing using an Illumina platform (GENEWIZ performed sequencing). Sequence reads that passed quality filters were aligned to a soil metagenome using Burrows Wheeler Aligner. Resulting SAM files were converted to raw reads using HTSeq, and annotated using Uniref90 or EGGNOG databases. Results: To reduce the size of the RNA-Seq counts table and increase its computational tractability, transcripts containing a minimum of 75 total counts, but no more than 3 zero counts, across the 15 samples were removed. The subsequent dataset was normalized using DESeq2, resulting in a dataset consisting of 6947 unique transcripts across the 15 samples, and 185,920,068 reads. We identified gene categories that were enriched in a sample type relative to the overall dataset using Fisher’s exact test. Conclusions: our dataset confirms that the functional module consortia generated from targeted enrichments of a starting soil inoculum had distinct functional trends by enrichment type.
Project description:Nitrate-reducing iron(II)-oxidizing bacteria are widespread in the environment contribute to nitrate removal and influence the fate of the greenhouse gases nitrous oxide and carbon dioxide. The autotrophic growth of nitrate-reducing iron(II)-oxidizing bacteria is rarely investigated and poorly understood. The most prominent model system for this type of studies is enrichment culture KS, which originates from a freshwater sediment in Bremen, Germany. To gain insights in the metabolism of nitrate reduction coupled to iron(II) oxidation under in the absence of organic carbon and oxygen limited conditions, we performed metagenomic, metatranscriptomic and metaproteomic analyses of culture KS. Raw sequencing data of 16S rRNA amplicon sequencing, shotgun metagenomics (short reads: Illumina; long reads: Oxford Nanopore Technologies), metagenome assembly, raw sequencing data of shotgun metatranscriptomes (2 conditions, triplicates) can be found at SRA in https://www.ncbi.nlm.nih.gov/bioproject/PRJNA682552. This dataset contains proteomics data for 2 conditions (heterotrophic and autotrophic growth conditions) in triplicates.