| Literature DB >> 34307800 |
Michelle Qiu Carter1, Bin Hu2, Patrick S G Chain2.
Abstract
Shiga toxin-producing Escherichia coli (STEC) strain RM13514 is a clinical isolate linked to the 2010 romaine lettuce-associated outbreak in the U.S. The genes encoding a type II restriction and modification system, PstI R-M, are located in a prophage genome that is also encoding Shiga toxin. In-frame deletion of the PstI R-M genes or dam, encoding a DNA adenine methylase, in strain RM13514 were generated, resulting in two mutant strains MQC599 and MQC602, respectively. The mutant strain MQC599 exhibited a similar growth rate as the wild-type (WT) strain RM13514 when grown in Luria-Bertani (LB) broth at 37 °C. In contrast, the growth of mutant strain MQC602 was significantly slower than either RM13514 or MQC599. Genes transcriptionally regulated by the PstI R-M system or by Dam were examined by the RNA-Seq based comparative transcriptomics. The total RNA was extracted from cells of each strain grown in LB broth at exponential and stationary phases. Three biological replicates were collected for each strain. After removal of ribosomal RNA, the mRNAs were converted to cDNAs followed by Illumina sequence library construction. For strains RM13514 and MQC599, six libraires were generated for each, three from the cells in the exponential growth phase and three from the cells in the stationary phase. For strain MQC602, three additional libraries were constructed from the cells in the early exponential growth phase. The resulting 21 libraries were combined in equal amounts and sequenced on an Illumina HighSeq 2000 instrument with the Paired End 100 bp (PE100) read format, generating a total of 45.83 Gbp sequence reads. This set of sequence data is available in the NCBI SRA database under the BioProject accession number PRJNA684587. This set of transcriptomic data provides information on methylation-mediated epigenetic regulation in STEC, an important foodborne pathogen that is frequently associated with large epidemic outbreaks and can cause life-threatening disease in humans [1]. This set of data will be useful for researchers who are interested in physiology and pathogenicity of foodborne pathogens or in the fundamental mechanisms of epigenetic regulation in bacteria. Published by Elsevier Inc.Entities:
Keywords: DNA adenine methylase (Dam); Epigenetic regulation; RNA-Seq transcriptomics; Restriction and modification (R-M) systems; Shiga toxin-producing Escherichia coli (STEC)
Year: 2021 PMID: 34307800 PMCID: PMC8257988 DOI: 10.1016/j.dib.2021.107065
Source DB: PubMed Journal: Data Brief ISSN: 2352-3409
Strains used in this study.
| Strain | Serotype | Shiga toxin gene | Characteristics | References |
|---|---|---|---|---|
| RM13514 | O145:H28 | Human isolate linked to the 2010 U.S. romaine lettuce-associated outbreak | ||
| MQC599 | O145:H28 | The PstI R-M deletion mutant of strain RM13514 | ||
| MQC602 | O145:H28 | The |
Fig. 1Generation time of STEC O145:H28 WT and mutant strains incubated in LB broth at 37 °C. The generation time was calculated using the population sizes of each strain at 2 h and 3 h following the inoculation. The value presented here is the mean ± s.d. from three independent experiments. The differences in generation time among the STEC strains are indicated by the P-value of the One-way ANOVA followed by Turkey’s multiple comparisons test (****P ≤ 0.0001).
Illumina sequence libraries and sequence reads.
| Sequence | Biological sample | Barcode | % of PF | R1 Ave | R2 Ave | Yield | |||
|---|---|---|---|---|---|---|---|---|---|
| Lib1 | RM13514 in exponential growth phase, sample A | ATCACG | 13,204,273 | 5.8% | 90.1% | 86.3% | 34.9 | 33.8 | 2.64 |
| Lib2 | RM13514 in exponential growth phase, sample B | CGATGT | 9,973,866 | 4.4% | 91.3% | 86.9% | 35.2 | 34.0 | 1.99 |
| Lib3 | RM13514 in exponential growth phase, sample C | TTAGGC | 8,975,219 | 3.9% | 91.0% | 86.7% | 35.2 | 33.9 | 1.80 |
| Lib4 | MQC599 in exponential growth phase, sample A | TGACCA | 9,509,712 | 4.1% | 90.7% | 86.2% | 35.1 | 33.8 | 1.90 |
| Lib5 | MQC599 in exponential growth phase, sample B | ACAGTG | 11,335,277 | 4.9% | 90.9% | 86.9% | 35.1 | 34.0 | 2.27 |
| Lib6 | MQC599 in exponential growth phase, sample C | GCCAAT | 10,667,903 | 4.7% | 91.0% | 86.8% | 35.2 | 34.0 | 2.13 |
| Lib7 | MQC602 in exponential growth phase, sample A | CAGATC | 9,779,135 | 4.3% | 91.0% | 87.7% | 35.1 | 34.2 | 1.96 |
| Lib8 | MQC602 in exponential growth phase, sample B | ACTTGA | 13,723,068 | 6.0% | 91.0% | 87.7% | 35.1 | 34.2 | 2.74 |
| Lib9 | MQC602 in exponential growth phase, sample C | GATCAG | 9,030,685 | 3.9% | 91.0% | 87.6% | 35.1 | 34.2 | 1.81 |
| Lib10 | MQC602 in early exponential growth phase, sample A | TAGCTT | 9,631,430 | 4.2% | 90.7% | 87.3% | 35.0 | 34.1 | 1.93 |
| Lib11 | MQC602 in early exponential growth phase, sample B | GGCTAC | 10,443,708 | 4.6% | 90.4% | 86.9% | 35.0 | 33.9 | 2.09 |
| Lib12 | MQC602 in early exponential growth phase, sample C | CTTGTA | 11,254,839 | 4.9% | 90.7% | 87.2% | 35.1 | 34.0 | 2.25 |
| Lib13 | RM13514 in stationary phase, sample A | AGTCAA | 11,738,511 | 5.1% | 89.9% | 87.6% | 34.7 | 34.2 | 2.35 |
| Lib14 | RM13514 in stationary phase, sample B | AGTTCC | 11,967,549 | 5.2% | 90.0% | 87.7% | 34.7 | 34.2 | 2.39 |
| Lib15 | RM13514 in stationary phase, sample C | ATGTCA | 10,777,017 | 4.7% | 90.4% | 87.9% | 34.8 | 34.2 | 2.16 |
| Lib16 | MQC599 in stationary phase, sample A | CCGTCC | 11,605,080 | 5.1% | 89.5% | 87.1% | 34.6 | 34.0 | 2.32 |
| Lib17 | MQC599 in stationary phase, sample B | GTAGAG | 11,203,170 | 4.9% | 89.6% | 87.4% | 34.6 | 34.1 | 2.24 |
| Lib18 | MQC599 in stationary phase, sample C | GTGAAA | 11,105,581 | 4.8% | 90.1% | 87.6% | 34.8 | 34.2 | 2.22 |
| Lib19 | MQC602 in stationary phase, sample A | GTGGCC | 9,580,058 | 4.2% | 88.8% | 86.4% | 34.4 | 33.7 | 1.92 |
| Lib20 | MQC602 in stationary phase, sample B | CGTACG | 10,354,741 | 4.5% | 89.7% | 87.8% | 34.7 | 34.2 | 2.07 |
| Lib21 | MQC602 in stationary phase, sample C | GAGTGG | 10,274,253 | 4.5% | 89.2% | 87.3% | 34.5 | 34.0 | 2.05 |
| Control | No input cDNA | CACCGG | 44,686 | 0.0% | 91.2% | 86.4% | 35.1 | 33.6 | 0.01 |
PF: passing filter
R1: read 1
R2: read 2.
| Subject | Microbiology: Bacteriology |
| Specific subject area | Molecular microbiology; Shiga toxin-producing |
| Type of data | Tables, Figure, and DNA sequences |
| How data were acquired | Bacterial culture, RNA extraction, Reverse transcription, and Illumina sequencing |
| Data format | Raw and analyzed |
| Parameters for data collection | Bacterial cells grown in Luria-Bertani broth at 37 °C in exponential and stationary phases were harvested for RNA-Seq based transcriptomic analyses. |
| Description of data collection | The total RNA was extracted using a Qiagen RNeasy mini kit and quantified using a Nanodrop. The RNA quality was monitored with an Agilent 2100 Bioanalyzer (Agilent Technologies). After removal of ribosomal RNA using a RiboZero rRNA depletion kit (Epicentre Biotechnologies), the samples were converted to cDNA prior to Illumina sequence library construction using a ScriptSeq™ v2RNA-Seq Library Preparation Kit (Epicentre Biotechnologies). The resulting libraries were combined equally (100 pM each) and submitted to Genomic Core at Michigan State University for sequencing. The combined library was sequenced on an Illumina HiSeq2000 instrument with a read format of PE100. |
| Data source location | The data were collected by The Research Technology Support Facility (RTSF) Genomics Core at Michigan State University (East Lansing, MI, USA) and deposited in NCBI Sequence Read Archive (SRA) Database |
| Data accessibility | Primary Data: The SRA database under the BioProject accession number PRJNA684587 |
| Related research article | Carter MQ, Pham A, Huynh S, Parker CT, Miller A, He X, Hu B, Chain PSG. 2021. DNA adenine methylase, not the PstI restriction-modification system, regulates virulence gene expression in Shiga toxin-producing |