ArticlePloS one2012
RNA-seq based transcriptional map of bovine respiratory disease pathogen "Histophilus somni 2336".
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 36 citations in OpenAlex.
- Identification and initial characterization of Hfq-associated sRNAs in Histophilus somni strain 2336.PloS one · 2023Article
- Transcript Characteristics on the Susceptibility Difference of Bovine Respiratory Disease.International journal of genomics · 2023Article
- Gene expression profile analysis and target gene discovery of Mycobacterium tuberculosis biofilm.Applied microbiology and biotechnology · 2021Article
- Comparative Genomics and Transcriptional Analysis ofFrontiers in microbiology · 2017Article
- A Transcriptome Map of Actinobacillus pleuropneumoniae at Single-Nucleotide Resolution Using Deep RNA-Seq.PloS one · 2016Article
- Article
- Single nucleotide polymorphisms in the bovine Histophilus somni genome; a comparison of new and old isolates.Canadian journal of veterinary research = Revue canadienne de recherche veterinaire · 2015Article
- Analysis of strand-specific RNA-seq data using machine learning reveals the structures of transcription units in Clostridium thermocellum.Nucleic acids research · 2015Article
- Application of Functional Genomics for Bovine Respiratory Disease Diagnostics.Bioinformatics and biology insights · 2015Review
- Transcriptome analysis of Acidovorax avenae subsp. avenae cultivated in vivo and co-culture with Burkholderia seminalis.Scientific reports · 2014Article
- Transcriptome dynamics-based operon prediction in prokaryotes.BMC bioinformatics · 2014Article
- Computational small RNA prediction in bacteria.Bioinformatics and biology insights · 2013Article
- RNA-seq and microarray complement each other in transcriptome profiling.BMC genomics · 2012Article
- Two outer membrane lipoproteins from Histophilus somni are immunogenic in rabbits and sheep and induce protection against bacterial challenge in mice.Clinical and vaccine immunology : CVI · 2012Article
- Predicting sRNAs and their targets in bacteria.Genomics, proteomics & bioinformatics · 2012Review
- Transcriptome profile of a bovine respiratory disease pathogen: Mannheimia haemolytica PHL213.BMC bioinformatics · 2012Article
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome structural annotation, i.e., identification and demarcation of the boundaries for all the functional elements in a genome (e.g., genes, non-coding RNAs, proteins and regulatory elements), is a prerequisite for systems level analysis. Current genome annotation programs do not identify all of the functional elements of the genome, especially small non-coding RNAs (sRNAs). Whole genome transcriptome analysis is a complementary method to identify "novel" genes, small RNAs, regulatory regions, and operon structures, thus improving the structural annotation in bacteria. In particular, the identification of non-coding RNAs has revealed their widespread occurrence and functional importance in gene regulation, stress and virulence. However, very little is known about non-coding transcripts in Histophilus somni, one of the causative agents of Bovine Respiratory Disease (BRD) as well as bovine infertility, abortion, septicemia, arthritis, myocarditis, and thrombotic meningoencephalitis. In this study, we report a single nucleotide resolution transcriptome map of H. somni strain 2336 using RNA-Seq method.The RNA-Seq based transcriptome map identified 94 sRNAs in the H. somni genome of which 82 sRNAs were never predicted or reported in earlier studies. We also identified 38 novel potential protein coding open reading frames that were absent in the current genome annotation. The transcriptome map allowed the identification of 278 operon (total 730 genes) structures in the genome. When compared with the genome sequence of a non-virulent strain 129Pt, a disproportionate number of sRNAs (∼30%) were located in genomic region unique to strain 2336 (∼18% of the total genome). This observation suggests that a number of the newly identified sRNAs in strain 2336 may be involved in strain-specific adaptations.
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