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Transcriptome analysis of the opportunist pathogenic bacterium Clostridium perfringens ATCC 13124 grown in the presence of host polysaccharide hyaluronic acid and mucin

ABSTRACT: Purpose: The purpose of this study is to clarify the response of Clostridium perfringens ATCC 13124 to host polysaccharide. Methods: Clostridium perfringens ATCC 13124 cells were cultured anaerobically in a medium containing Minimal medium-like condition Poor + medium, medium in which hyaluronic acid or mucin was added to Poor + medium. Total RNA was extracted from bacterial cells by the Hot-Phenol method. Samples for RNA-seq were prepared according to the Illmina protocol available from the manufacturer. Array leads passed through quality filters were analyzed at the transcript isoform level using bowtie v 1.1.2. Results: Using the optimized data analysis workflow, we mapped about 50 million sequence leads per sample to the whole genome of Clostridium perfringens ATCC 13124. In addition, 2735 transcripts in C. perfringens ATCC 13124 were identified using a Bowtie aligner. Lead counts per genome were extracted from known gene annotations using the HTSeq program.

ORGANISM(S): Clostridium perfringens ATCC 13124

PROVIDER: GSE240236 | GEO | 2024/07/29

REPOSITORIES: GEO

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Project description:Purpose: RNA-Seq has become a powerful tool for investigating transcriptional profiles in gene expression analysis, which would help to reveal the molecular mechanism of Clostridium perfringens type C infecting the piglets. In this study, we analyzed miRNA profiles of the ileum of piglets caused by Clostridium perfringens type C. Methods: 30 normal 7-day-old piglets (Y x L), without infecting Clostridium perfringens type C, Escherichia coli and Salmonella, were selected as experimental subjects. 25 piglets were randomly selected as the experimental group, which were disposed once a day for 5 days. Each piglet was dosed with 1 ml of bouillon culture-medium inoculated Clostridium perfringens type C at 37℃ for 16h, which approximate to 1 x10e9 CFU per ml. Then, 5 piglets were randomly selected as the control group (IC), which were taken the equal volume medium for 5 days.Based on total diarrhea scores, 25 piglets were ranked from high to low. The top and last five piglet were considered as sensitive group (IS) and resistant group (IR), respectively. Finally, ileum were collected and sequenced for miRNA. Result: 53 differentially expressed miRNAs were found. KEGG pathway analysis for target genes revealed that these miRNAs were involved in ErbB signaling pathway, MAPK signaling pathway, Jak-STAT signaling pathway and Wnt signaling pathway. The expression correlation analysis between miRNAs and target genes revealed that the expression of miR-7134-5p had negative correlation with target NFATC4, miR-500 had negative correlation with target ELK1, HSPA2 and IL7R, and miR-92b-3p had negative correlation with target CLCF1 in ileum of IR vs IS group, suggesting that miR-7134-5p targeting to NFATC4, miR-500 targeting to ELK1, HSPA2 and IL7R, and miR-92b-3p targeting to CLCF1 were probably involved in piglet resisting C. perfringens type C. Conclusions: The results will provide value resources for better understanding of the genetic basis of C. perfringens type C resistance in piglet and lays a new foundation for identifying novel markers of C. perfringens type C resistance

Project description:Purpose: RNA-Seq has become a powerful tool for investigating transcriptional profiles in gene expression analysis, which would help to reveal the molecular mechanism of Clostridium perfringens type C infecting the piglets. In this study, we analyzed the transcriptome profiles of the spleen of piglets caused by Clostridium perfringens type Cens type C. Methods: 30 normal 7-day-old piglets (Y x L), without infecting Clostridium perfringens type C, Escherichia coli and Salmonella, were selected as experimental subjects. 25 piglets were randomly selected as the experimental group, which were disposed once a day for 5 days. Each piglet was dosed with 1 ml of bouillon culture-medium inoculated Clostridium perfringens type C at 37℃ for 16h, which approximate to 1 x109 CFU per ml. Then, 5 piglets were randomly selected as the control group (SC), which were taken the equal volume medium for 5 days.Based on total diarrhea scores, 25 piglets were ranked from high to low. The top and last five piglet were considered as sensitive group (SS) and resistant group (SR), respectively. Finally, spleen were collected and sequenced for lncRNA and mRNA. Results: RNA libraries constructed from spleen of piglets caused by Clostridium perfringens type C were sequenced. A total of 1,450,292,484 clean reads were generated. Among them, 2056 novel lncRNA transcripts corresponding to 1561 lncRNA genes were identified, including 1811 intergenic lncRNAs and 245 anti-sense lncRNAs. The identified spleen lncRNAs shared some characteristics, such as fewer exons and shorter length, with the lncRNAs in other animal. Notably, in pairwise comparisons between the libraries of spleen tissue at the different group, a total of 247 lncRNA and 2170 mRNA were differentially expressed (P < 0.05). Function analyses indicated that these differentially expressed lncRNAs and mRNAs play roles in defensing Clostridium perfringens type C, which were enriched in immune-related biological processes, such as the antigen processing and presentation, TNF signaling pathway, NF-kappa B signaling pathway, B cell receptor signaling pathway and MAPK signaling pathway. Conclusions: This study provides the information of spleen-related lncRNAs in swine diarrhea with Clostridium perfringens type C. We also analyzed all lncRNA’s genomic feature and expression. Bioinformatic analysis indicates that some lncRNAs participated in important biological processes associated with defeasing Clostridium perfringens type C, such as antigen processing and presentation, the MHC protein complex and regulation of autophagy.

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Transcriptome analysis of the opportunist pathogenic bacterium Clostridium perfringens ATCC 13124 grown in the presence of host polysaccharide hyaluronic acid and mucin

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