Serotyping of Actinobacillus pleuropneumoniae based on whole genome sequencing – validation of a bioinformatic tool
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ABSTRACT:
PROVIDER: PRJEB85426 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| ERR14229100_1.fastq.gz | Fastqsanger.gz | |||
| ERR14229100_2.fastq.gz | Fastqsanger.gz | |||
| ERR14229200_1.fastq.gz | Fastqsanger.gz | |||
| ERR14229200_2.fastq.gz | Fastqsanger.gz |
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Project description:Actinobacillus pleuropneumoniae is the etiologic agent of contagious pleuropneumonia, an economically important disease of commercially reared swine throughout the world. To cause this disease, A. pleuropneumoniae must rapidly overcome porcine pulmonary innate immune defenses. Since bronchoalveolar fluid (BALF) contains many of the innate immune components found in the lung, we examined the gene expression of a virulent serovar 1 strain of A. pleuropneumoniae after exposure to concentrated BALF. This experiment was also carried out with a malT mutant of the same strain.
2009-01-06 | GSE13006 | GEO
Project description:BackgroundActinobacillus pleuropneumoniae is a prevalent respiratory pathogen causing substantial economic losses in swine production worldwide. The bacterium's ability to rapidly develop antimicrobial resistance (AMR) poses a significant challenge to effective treatment and control. In Poland, limited data on A. pleuropneumoniae serotype distribution and AMR patterns hinder evidence-based treatment strategies. This study examined the serotype diversity and AMR patterns of A. pleuropneumoniae isolates from porcine pleuropneumonia outbreaks in northeastern Poland between 2019 and 2024, providing crucial information for regional veterinary practices and antimicrobial stewardship efforts.ResultsAnalysis of 119 isolates from 67 farms demonstrated the predominance of serotype 2 (65.5%), followed by serogroups 3, 6, 8 (18.5%) and 1, 9, 11 (15.1%). This distribution differs from recent trends in other European countries, suggesting regional epidemiological variations. High resistance rates were observed for tylosin (55.5%), gentamicin (36.1%), doxycycline (32.8%), and sulfamethoxazole/trimethoprim (26.1%). Multidrug resistance fluctuated between 14.3% and 21.9% over the study period, with no clear linear trend. From 2022 onwards, strains exhibiting resistance to seven or more antimicrobials, including cephalosporins, emerged, marking a significant shift in resistance profiles. Temporal analysis revealed diverse resistance patterns, with significant increases in some antimicrobials (e.g., sulfamethoxazole/trimethoprim, p = 0.001) and stability in others (e.g., tetracycline, p = 0.890). Notably, several antimicrobials, including florfenicol and colistin, maintained 100% efficacy against all isolates throughout the study period.ConclusionsThe findings highlight the dynamic nature of AMR development in A. pleuropneumoniae and underscore the need for ongoing surveillance in the region. The emergence of highly resistant strains, particularly those resistant to cephalosporins, raises concerns about future treatment options. These results can guide evidence-based treatment strategies and enhance antimicrobial stewardship efforts in regional swine production. Furthermore, the study emphasizes the importance of local AMR data in guiding antimicrobial use policies and the need for a coordinated approach to combat AMR in veterinary medicine.
| S-EPMC11776277 | biostudies-literature
Project description:A DNA microarray system was prepared and shown to facilitate identification and typing of Actinobacillus pleuropneumoniae. The DNA microarray, composed of 18 DNA polymerase chain reaction (PCR) amplicons printed on glass slides and arranged in 3 subarrays, was developed. These target DNA included 1 or multiple fragments of the outer membrane lipoprotein, apx toxin, capsular polysaccharide, and disulfide bound formation protein E (dsbE)-like genes of A. pleuropneumoniae. These arrayed target DNA retained their expected hybridization properties. The hybridization signal intensities ranged from the least-intense to the most-intense, 4626 to 9789 arbitrary fluorescence units, respectively. Cy3-probes of A. pleuropneumoniae strains labeled with multiplex PCR were hybridized to the DNA microarray. A total of 51 different A. pleuropneumoniae strains representing serotype 1 to 12 reference strains and clinical isolates were detected and typed by the DNA microarray. Twelve reference serotypes produced 11 distinct target DNA hybridization patterns, and hybridization patterns of serotypes 1 (n = 7), 3 (n = 5), and 7 (n = 6) field isolates were identical to hybridization patterns of reference serotypes 1, 3, and 7, respectively. Non-serotyped isolates 4, 6, and 11 (out of 21) from diseased pigs had identical hybridization patterns to reference serotypes 3, 7, and 1, respectively. The results show that the DNA microarray system described in the present study is a valuable tool for identifying and typing reference strains and isolates of A. pleuropneumoniae, and enables relatively rapid identification of non-serotyped isolates.
| S-EPMC2705073 | biostudies-literature
Project description:The aim of this study was to evaluate the correlation between antimicrobial resistance (AMR) profiles of 96 clinical isolates of Actinobacillus pleuropneumoniae, an important porcine respiratory pathogen, and the identification of AMR genes in whole genome sequence (wgs) data. Susceptibility of the isolates to nine antimicrobial agents (ampicillin, enrofloxacin, erythromycin, florfenicol, sulfisoxazole, tetracycline, tilmicosin, trimethoprim, and tylosin) was determined by agar dilution susceptibility test. Except for the macrolides tested, elevated MICs were highly correlated to the presence of AMR genes identified in wgs data using ResFinder or BLASTn. Of the isolates tested, 57% were resistant to tetracycline [MIC ≥ 4 mg/L; 94.8% with either tet(B) or tet(H)]; 48% to sulfisoxazole (MIC ≥ 256 mg/L or DD = 6; 100% with sul2), 20% to ampicillin (MIC ≥ 4 mg/L; 100% with blaROB-1), 17% to trimethoprim (MIC ≥ 32 mg/L; 100% with dfrA14), and 6% to enrofloxacin (MIC ≥ 0.25 mg/L; 100% with GyrAS83F). Only 33% of the isolates did not have detectable AMR genes, and were sensitive by MICs for the antimicrobial agents tested. Although 23 isolates had MIC ≥ 32 mg/L for tylosin, all isolates had MIC ≤ 16 mg/L for both erythromycin and tilmicosin, and no macrolide resistance genes or known point mutations were detected. Other than the GyrAS83F mutation, the AMR genes detected were mapped to potential plasmids. In addition to presence on plasmid(s), the tet(B) gene was also found chromosomally either as part of a 56 kb integrative conjugative element (ICEApl1) in 21, or as part of a Tn7 insertion in 15 isolates. Our results indicate that, with the exception of macrolides, wgs data can be used to accurately predict resistance of A. pleuropneumoniae to the tested antimicrobial agents and provides added value for routine surveillance.
| S-EPMC5337627 | biostudies-literature
Project description:Actinobacillus pleuropneumoniae (APP) is the causative agent of pleuropneumonia in pigs, one of the most relevant bacterial respiratory diseases in the swine industry. To date, 19 serotypes have been described based on capsular polysaccharide typing with significant virulence dissimilarities. In this study, 16 APP isolates from Spanish origin were selected to perform antimicrobial susceptibility tests and comparative genomic analysis using whole genome sequencing (WGS). To obtain a more comprehensive worldwide molecular epidemiologic analyses, all APP whole genome assemblies available at the National Center for Biotechnology Information (NCBI) at the time of the study were also included. An in-house in silico PCR approach enabled the correct serotyping of unserotyped or incorrectly serotyped isolates and allowed for the discrimination between serotypes 9 and 11. A pangenome analysis identified the presence or absence of gene clusters to be serotype specific, as well as virulence profile analyses targeting the apx operons. Antimicrobial resistance genes were correlated to the presence of specific plasmids. Altogether, this study provides new insights into the genetic variability within APP serotypes, correlates phenotypic tests with bioinformatic analyses and manifests the benefits of populated databases for a better assessment of diversity and variability of relatively unknown pathogens. Overall, genomic comparative analysis enhances the understanding of transmission and epidemiological patterns of this species and suggests vertical transmission of the pathogen, including the resistance genes, within the Spanish integrated systems. IMPORTANCE Pleuropneumonia is one of the most relevant respiratory infections in the swine industry. Despite Actinobacillus pleuropneumoniae (APP) being one of the most important pathogens in the pig production, this is the first comparative study including all available whole genome sequencing data from NCBI. Moreover, this study also includes 16 APP isolates of Spanish origin with known epidemiological relationships through vertical integrated systems. Genomic comparisons provided a deeper understanding of molecular and epidemiological knowledge between different APP serotypes. Furthermore, determination of resistance and toxin profiles allowed correlation with the presence of mobile genetic elements and specific serotype, respectively.
| S-EPMC9430968 | biostudies-literature
Project description:The Gram-negative bacterium Actinobacillus pleuropneumoniae is the etiologic agent of porcine contagious pleuropneumoniae, a lethal respiratory infectious disease causing great economic losses in the swine industry worldwide. In order to better interpret the genetic background of serotypic diversity, nine genomes of A. pleuropneumoniae reference strains of serovars 1, 2, 4, 6, 9, 10, 11, 12, and 13 were sequenced by using rapid high-throughput approach. Based on 12 genomes of corresponding serovar reference strains including three publicly available complete genomes (serovars 3, 5b, and 7) of this bacterium, we performed a comprehensive analysis of comparative genomics and first reported a global genomic characterization for this pathogen. Clustering of 26,012 predicted protein-coding genes showed that the pan genome of A. pleuropneumoniae consists of 3,303 gene clusters, which contain 1,709 core genome genes, 822 distributed genes, and 772 strain-specific genes. The genome components involved in the biogenesis of capsular polysaccharide and lipopolysaccharide O antigen relative to serovar diversity were compared, and their genetic diversity was depicted. Our findings shed more light on genomic features associated with serovar diversity of A. pleuropneumoniae and provide broader insight into both pathogenesis research and clinical/epidemiological application against the severe disease caused by this swine pathogen.
| S-EPMC2953695 | biostudies-literature
Project description:Actinobacillus pleuropneumoniae has been considered nonmotile and nonflagellate. In this work, it is demonstrated that A. pleuropneumoniae produces flagella composed of a 65-kDa protein with an N-terminal amino acid sequence that shows 100% identity with those of Escherichia coli, Salmonella, and Shigella flagellins. The DNA sequence obtained through PCR of the fliC gene in A. pleuropneumoniae showed considerable identity (93%) in its 5' and 3' ends with the DNA sequences of corresponding genes in E. coli, Salmonella enterica, and Shigella spp. The motility of A. pleuropneumoniae was observed in tryptic soy or brain heart infusion soft agar media, and it is influenced by temperature. Flagella and motility may be involved in the survival and pathogenesis of A. pleuropneumoniae in pigs.
| S-EPMC145319 | biostudies-literature
Project description:Antimicrobial resistance (AMR) is becoming a huge problem in countries all over the world, and new approaches to identifying strains resistant or susceptible to certain antibiotics are essential in fighting against antibiotic-resistant pathogens. Genotype-based machine learning methods showed great promise as a diagnostic tool, due to the increasing availability of genomic datasets and AST phenotypes. In this article, Support Vector Machine (SVM) and Set Covering Machine (SCM) models were used to learn and predict the resistance of the five drugs (Tetracycline, Ampicillin, Sulfisoxazole, Trimethoprim, and Enrofloxacin). The SVM model used the number of co-occurring k-mers between the genome of the isolates and the reference genes to learn and predict the phenotypes of the bacteria to a specific antimicrobial, while the SCM model uses a greedy approach to construct conjunction or disjunction of Boolean functions to find the most concise set of k-mers that allows for accurate prediction of the phenotype. Five-fold cross-validation was performed on the training set of the SVM and SCM model to select the best hyperparameter values to avoid model overfitting. The training accuracy (mean cross-validation score) and the testing accuracy of SVM and SCM models of five drugs were above 90% regardless of the resistant mechanism of which were acquired resistant or point mutation in the chromosome. The results of correlation between the phenotype and the model predictions of the five drugs indicated that both SVM and SCM models could significantly classify the resistant isolates from the sensitive isolates of the bacteria (p < 0.01), and would be used as potential tools in antimicrobial resistance surveillance and clinical diagnosis in veterinary medicine.
| S-EPMC7016212 | biostudies-literature
Project description:Actinobacillus pleuropneumoniae is the cause of porcine pleuropneumonia, a severe respiratory tract infection that is responsible for major economic losses to the swine industry. Many host-adapted bacterial pathogens encode systems known as phasevarions (phase-variable regulons). Phasevarions result from variable expression of cytoplasmic DNA methyltransferases. Variable expression results in genome-wide methylation differences within a bacterial population, leading to altered expression of multiple genes via epigenetic mechanisms. Our examination of a diverse population of A. pleuropneumoniae strains determined that Type I and Type III DNA methyltransferases with the hallmarks of phase variation were present in this species. We demonstrate that phase variation is occurring in these methyltransferases, and show associations between particular Type III methyltransferase alleles and serovar. Using Pacific BioSciences Single-Molecule, Real-Time (SMRT) sequencing and Oxford Nanopore sequencing, we demonstrate the presence of the first ever characterised phase-variable, cytosine-specific Type III DNA methyltransferase. Phase variation of distinct Type III DNA methyltransferase in A. pleuropneumoniae results in the regulation of distinct phasevarions, and in multiple phenotypic differences relevant to pathobiology. Our characterisation of these newly described phasevarions in A. pleuropneumoniae will aid in the selection of stably expressed antigens, and direct and inform development of a rationally designed subunit vaccine against this major veterinary pathogen.
2023-02-02 | GSE224057 | GEO
Project description:Microarray-based comparative genomic hybridizations were used to estimate whole genomic diversity of representative Actinobacillus pleuropneumoniae strains. Our goal was to identify conserved genes, especially those predicted to encode outer membrane proteins and lipoproteins because of their potential for the development of more effective vaccines. Keywords: Comparative Genomic Hybridisation
2009-02-03 | GSE11921 | GEO