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.
Project description:Purpose: RNA-seq technology was used to profile the transcriptome of a Chinese strain of A. anophagefferens that was grown on urea, nitrate, and a mixture of urea and nitrate, and that was under N-replete, limited and recovery conditions to understand the molecular mechanisms that underlie nitrate and urea utilization. Methods: mRNA profiles of Aureococcus anophagefferens that was grown on urea, nitrate, and a mixture of urea and nitrate, and that was under N-replete, limited and recovery conditions were generated by deep sequencing using Illumina HiSeq 2000. The sequence reads that passed quality filters were analyzed by aligning to reference genome and transcript using SOAPaligner/SOAP2 (version 2.21). Results: Deconvolution and filtering of raw reads yielded a mean of 6,938,798 reads (range: 6,539,842 to 7,242,083 reads) per individual RNA-seq library (Table 1). Subsequent alignment of the clean reads to the A. anophagefferens reference genome yielded a mean of 5,852,408 reads (84.3%) for each sample that mapped to at least one location in the A. anophagefferens genome. However, of these mapped reads, only 47.4 to 50.9% of the total reads were mapped to the reference transcript for each sample (Table 2). In A. anophagefferens grown on three different N sources, 9148 to 9526 genes were detected for each sample. A comparison of gene expression among the three N sources was performed. 322 differentially expressed genes were detected between nitrate-grown and urea-grown cells, 237 between nitrate-grown and mixture N-grown cells and 29 between urea-grown and mixture N-grown cells. Fewer differentially expressed genes between urea-grown and mixture N-grown cells were identified, which further suggested the preferred utilization of cells for urea in media with mixture N. For nitrogen-limited and recovery experiments, 707 genes were up-regulated significantly, and 766 were down-regulated significantly in N-depleted cells relative to N-replete cells. N-depleted cells exhibited a broad transcriptional response to nitrogen re-addition, with 681 genes up-regulated and 874 genes down-regulated in urea recovery cells, and 312 genes up-regulated and 688 genes down-regulated in nitrate recovery cells. Conclusions: We noted that transcripts upregulated by nitrate and N-limitation included those encoding proteins involved in amino acid, nucleotide and aminosugar transport, degradation of amides and cyanates, and nitrate assimilation pathway. The data suggest that A. anophagefferens possesses an ability to utilize a variety of dissolved organic nitrogen. Moreover, transcripts for synthesis of proteins, glutamate-derived amino acids, spermines and sterols were upregulated by urea. Transcripts encoding key enzymes that are involved in the ornithine-urea and TCA cycles were differentially regulated by urea and nitrogen concentration, which suggests that the OUC may be linked to the TCA cycle and involved in reallocation of intracellular carbon and nitrogen. These genes regulated by urea may be crucial for the rapid proliferation of A. anophagefferens when urea is provided as the N source.
Project description:Purpose: RNA-seq technology was used to profile the transcriptome of a Chinese strain of A. anophagefferens that was grown on urea, nitrate, and a mixture of urea and nitrate, and that was under N-replete, limited and recovery conditions to understand the molecular mechanisms that underlie nitrate and urea utilization. Methods: mRNA profiles of Aureococcus anophagefferens that was grown on urea, nitrate, and a mixture of urea and nitrate, and that was under N-replete, limited and recovery conditions were generated by deep sequencing using Illumina HiSeq 2000. The sequence reads that passed quality filters were analyzed by aligning to reference genome and transcript using SOAPaligner/SOAP2 (version 2.21). Results: Deconvolution and filtering of raw reads yielded a mean of 6,938,798 reads (range: 6,539,842 to 7,242,083 reads) per individual RNA-seq library (Table 1). Subsequent alignment of the clean reads to the A. anophagefferens reference genome yielded a mean of 5,852,408 reads (84.3%) for each sample that mapped to at least one location in the A. anophagefferens genome. However, of these mapped reads, only 47.4 to 50.9% of the total reads were mapped to the reference transcript for each sample (Table 2). In A. anophagefferens grown on three different N sources, 9148 to 9526 genes were detected for each sample. A comparison of gene expression among the three N sources was performed. 322 differentially expressed genes were detected between nitrate-grown and urea-grown cells, 237 between nitrate-grown and mixture N-grown cells and 29 between urea-grown and mixture N-grown cells. Fewer differentially expressed genes between urea-grown and mixture N-grown cells were identified, which further suggested the preferred utilization of cells for urea in media with mixture N. For nitrogen-limited and recovery experiments, 707 genes were up-regulated significantly, and 766 were down-regulated significantly in N-depleted cells relative to N-replete cells. N-depleted cells exhibited a broad transcriptional response to nitrogen re-addition, with 681 genes up-regulated and 874 genes down-regulated in urea recovery cells, and 312 genes up-regulated and 688 genes down-regulated in nitrate recovery cells. Conclusions: We noted that transcripts upregulated by nitrate and N-limitation included those encoding proteins involved in amino acid, nucleotide and aminosugar transport, degradation of amides and cyanates, and nitrate assimilation pathway. The data suggest that A. anophagefferens possesses an ability to utilize a variety of dissolved organic nitrogen. Moreover, transcripts for synthesis of proteins, glutamate-derived amino acids, spermines and sterols were upregulated by urea. Transcripts encoding key enzymes that are involved in the ornithine-urea and TCA cycles were differentially regulated by urea and nitrogen concentration, which suggests that the OUC may be linked to the TCA cycle and involved in reallocation of intracellular carbon and nitrogen. These genes regulated by urea may be crucial for the rapid proliferation of A. anophagefferens when urea is provided as the N source. Seven mRNA samples for Aureococcus anophagefferens were sequencd using Illumina HiSeqTM 2000, including three samples that was grown on urea, nitrate, and a mixture of urea and nitrate, and four samples that was under N-replete, limited and recovery conditions
Project description:Purpose: Analyze changes in the transcriptome of Arabidopsis thaliana in response to chronic exposure to silver nitrate at 4 μg/mL concentration. Methods: mRNA was extracted from non-treated and silver nitrate-treated 14-day old Arabidopsis thaliana seedlings using the RNAeasy extraction kit (Qiagen). RNA-seq libraries (3 rep/treatment and 3 reps/control) constructed with the TruSeq Stranded mRNA Sample Preparation kit (Illumina) were paired-end sequenced (100-nt read length) on an Illumina Nova Seq6000 system. Reads were mapped to the A. thaliana TAIR10 reference genome sequence and transcript levels were analyzed using the softare CLC Genomics Workbench (version 20.0.4, Qiagen). Results: Chronic exposure of A. thaliana plants to silver nitrate caused a change in the abundance of transcripts: AT2G01520 and AT4G12550, but no measureable impact on the rest of the transcriptome. Conclusions: Exposure of A. thaliana to silver nitrate at 4 μg/mL has minor impact on the transcriptome.
Project description:To identify the differetially expressed genes under nitrate stress, RNA-seq was performed using total RNA extracted from root and seedling tissues from plants were grown in both low (0 mM) and high (100 mM) nitrate conditions. The analysis was performed in duplicates and the reads were mapped to rice (IRGSP-1) genome.
Project description:To identify the differetially expressed sRNAs under nitrate stress, sRNA-seq was performed using total RNA extracted from root and seedling tissues from plants were grown in both low (0 mM) and high (100 mM) nitrate conditions. The analysis was performed in duplicates and the reads were processed and analysed using UEA sRNA workbench.