Genomics informed design of a suite of real-time PCR assays for the specific detection of each Xylella fastidiosa subspecies.

AIMS: Existing methods for the identification of the subspecies of Xylella fastidiosa are time-consuming which can lead to delays in diagnosis and the associated plant health response to outbreaks and interceptions. METHODS AND RESULTS: Diagnostic markers were identified using a comparative genomics approach to allow fine differentiation of the very closely related subspecies. Five qPCR assays were designed to allow specific detection of X. fastidiosa subsp. fastidiosa, X. fastidiosa subsp. multiplex, X. fastidiosa subsp. pauca, X. fastidiosa subsp. morus and X. fastidiosa subsp. sandyi. All assays were validated according to the European and Mediterranean Plant Protection Organisation (EPPO) standard PM7/98(2). CONCLUSIONS: All of the assays were shown to be specific to the target subspecies and all the assays could be used to detect femtogram quantities of X. fastidiosa DNA. SIGNIFICANCE AND IMPACT OF THE STUDY: At present, diagnosing the subspecies of X. fastidiosa requires multiple conventional PCR assays (although only available for three of the five subspecies) or multi-locus sequence typing which takes several days. By comparison, the new assays provide a substantial reduction in the turnaround time for direct identification to the subspecies level in as little as 75 min.

Campylobacter fetus subspecies specific PCR assays inferred from comparative genomic analysis for accurate subspecies identification.

Bovine Genital Campylobacteriosis (BGC) is caused by Campylobacter fetus subsp. venerealis and is a notifiable disease to the WOAH (World Organisation for Animal Health). For an effective BGC control program, the reliable differentiation of Campylobacter fetus subsp. venerealis (Cfv) from the closely related Campylobacter fetus subsp. fetus (Cff) is required. However, the available molecular C. fetus subspecies identification assays lack sensitivity and specificity to differentiate C. fetus isolates based on their phenotypic or genotypic differences. Furthermore, the current biochemical subspecies identification is not fully congruent with the genomic differentiation of C. fetus strains. In this study, the genome sequences of 41C. fetus strains with well identified subspecies, were analyzed with the large-scale BLAST score ratio (LS-BSR) pipeline to identify Cff and Cfv specific sequences. With this analysis, the asd gene encoding an aspartate-semialdehyde dehydrogenase was identified, which contained a 6-bp Cff-specific sequence, and this 6-bp sequence was absent in the asd gene of Cfv strains. This sequence was used for the development of PCR assays to differentiate Cff and Cfv strains. The C. fetus subspecies identification of the developed asd PCR assays was in full congruence with the genomic classification of strains and are recommended for molecular identification of C. fetus subspecies in BGC control programs. The asd PCR can be assessed on sequenced genomes using a web interface containing the Cfvcatch tool, which includes placement of the tested genome in a phylogenetic tree with reference C. fetus genomes to distinguish the two subspecies and to detect antimicrobial resistance genes.

Evaluation of the GenoType NTM-DR line probe assay for nontuberculous mycobacteria using whole genome sequences as reference standard.

Pulmonary nontuberculous mycobacteria (NTM) disease is an emerging public health challenge that is especially problematic in people with cystic fibrosis (CF). Effective treatment depends on accurate species and subspecies identification and antimicrobial susceptibility status. We evaluated the GenoType NTM-DR VER 1.0 assay using biobanked NTM isolates with whole genome sequence (WGS) data and control isolates (total n=285). Species and subspecies detection sensitivity and specificity were 100 % for all species and subspecies except for two subspecies of M. intracellulare, that demonstrated a small degree of discrepant identification between M. intracellulare subspecies intracellulare and subspecies chimaera. All antimicrobial resistance markers were identified with 100 % sensitivity and specificity. We conclude that the GenoType NTM-DR assay offers a rapid and accurate option for identifying the most frequently encountered pathogenic NTM taxa and drug resistance markers. SUPPORT: Colorado CF Research Development Program and Colorado CF National Resource Centers funded by the Cystic Fibrosis Foundation, NJH Advanced Diagnostics Laboratories, Colorado Advanced Industries Accelerator Grant.

Improved identification of Streptococcus bovis-Streptococcus equinus-complex species and subspecies by MALDI-TOF MS using a novel library.

OBJECTIVES: To develop an in-house matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) library for improved identification of species and subspecies of the Streptococcus bovis/Streptococcus equinus-complex (SBSEC). METHODS: A total of 236 SBSEC isolates from blood stream infections and culture collections, determined by whole genome sequencing to subspecies level, were grown in brain heart infusion broth. Mass spectra were collected using the Bruker MALDI Biotyper system after ethanol-formic acid extraction. Main spectral profiles from 117 isolates were used to create the "SBSEC-CMRS library." The remaining 119 spectra were used for evaluation of Bruker MALDI Biotyper (MBT) Compass Library Revision K (2022) and the SBSEC-CMRS library. RESULTS: The Bruker library correctly identified species and subspecies in 72 of 119 (61 %) isolates, while the SBSEC-CMRS library identified 116 of 119 (97 %), using a cutoff score of ≥2.0. CONCLUSIONS: The SBSEC-CMRS library showed sufficient diagnostic accuracy, and can be implemented in clinical practice for SBSEC species and subspecies identification.

Accurate subspecies-level identification of clinically significant Mycobacterium avium and Mycobacterium intracellulare by whole-genome sequencing.

Whole genome sequencing (WGS) of Mycobacterium avium complex (MAC) isolates in the clinical laboratory setting allows for rapid and reliable subspecies identification of a closely related complex of human pathogens. We developed a bioinformatics pipeline for accurate subspecies identification and tested 74 clinical MAC isolates from various anatomical sites. We demonstrate that reliable subspecies level identification of these common and clinically significant MAC isolates, including M. avium subsp. hominissuis (most dominant in causing lower respiratory tract infections in our cohort), M. avium subsp. avium, M. intracellulare subsp. intracellulare, and M. intracellulare subsp. chimaera, can be achieved by analysis of only two marker genes (rpoB and groEL/hsp65). We then explored the relationship between these subspecies and anatomical site of infection. Further, we conducted an in silico analysis and showed our algorithm also performed well for M. avium subsp. paratuberculosis but failed to consistently identify M. avium subsp. silvaticum and M. intracellulare subsp. yongonense, likely due to a lack of available reference genome sequences; all the 3 subspecies were not found in our clinical isolates and rarely reported to cause human infections. Accurate MAC subspecies identification may provide the tool and opportunity for better understanding of the disease-subspecies dynamics in MAC infections.

Impact of different subspecies on disease progression in initially untreated patients with Mycobacterium avium complex lung disease.

OBJECTIVE: Disease progression is a strong indicator of treatment for Mycobacterium avium complex lung disease (MAC-LD). The impact of MAC subspecies on the risk of disease progression remains uncertain in MAC-LD patients. METHODS: In this cohort study, we included MAC-LD patients from 2013 to 2018 and classified them into M. intracellulare, M. avium, M. chimaera and other subspecies groups by genotype. We observed the disease progression of MAC-LD, indicated by antibiotic initiation and/or radiographic progression. We used Cox regression analysis to assess predictors for disease progression. RESULTS: Of 105 MAC isolates from unique MAC-LD patients, 35 (33%) were M. intracellulare, 41 (39%) M. avium, 16 (15%) M. chimaera and 13 (12%) other subspecies. After a mean follow-up time of 1.3 years, 56 (53%) patients developed disease progression: 71% (25/35), 54% (22/41), 31% (4/13) and 31% (5/16) in patients with M. intracellulare, M. avium, others and M. chimaera, respectively. The independent predictors for disease progression were M. chimaera subspecies (HR 0.356, 95% CI (0.134-0.943)), compared with the reference group of M. intracellulare, body mass index ≤20 kg/m2 (HR 1.788 (1.022-3.130)) and initial fibrocavitary pattern (HR 2.840 (1.190-6.777)) after adjustment for age, sex and sputum smear positivity. Among patients without fibrocavitary lesions (n = 94), the risk of disease progression significantly decreased in patients with other subspecies (HR 0.217 (0.050-0.945)) and remained low in those with M. chimaera (HR 0.352 (0.131-0.947)). CONCLUSIONS: Mycobacterium chimaera was not uncommon in this study; unlike M. intracellulare, it was negatively correlated with disease progression of MAC-LD, suggesting a role of MAC subspecies identification in prioritizing patients.

Analysis of rpoB polymorphism and PCR-based approaches for the identification of Leuconostoc mesenteroides at the species and subspecies level.

Leuconostoc mesenteroides includes the subsp. cremoris, subsp. dextranicum, subsp. mesenteroides and subsp. jonggajibkimchii, but the identification at the subspecies level using current phenotypic and/or genotypic methods is still difficult. In this study, a polyphasic approach based on the analysis of rpoB gene polymorphism, Multiplex-PCR and phenotypic tests was optimised and used to identify a collection of Leuc. mesenteroides strains at the species and subspecies levels. The annotation of published Leuc. mesenteroides genomes was also revised. A polymorphic region of rpoB gene was effective in separating Leuc. mesenteroides strains at the species (rpoB-species-specific-PCR) and subspecies (phylogenetic comparison) levels. Multiplex-PCR discriminated the subsp. mesenteroides from subsp. cremoris, but strains of uncertain attribution were found among subsp. dextranicum and subsp. jonggajibkimchii. Most of phenotypic features were not suitable for subspecies discrimination. Our assays may provide a rapid and reliable identification of subsp. mesenteroides and subsp. cremoris strains in fermented foods. The discrimination of subsp. dextranicum and subsp. jonggajibkimchii suffered from several limitations (e.g. low number of available strains and genomes, phenotypic profile close to subsp. mesenteroides, discrepancy between genotypic and phenotypic traits) and further investigations are needed to clarify their delineation and taxonomical position.

The Rhyacophila fasciata Group in Croatia and Bosnia and Herzegovina: Rhyacophila f. fasciata Hagen 1859 and the description of two new subspecies, Rhyacophila fasciata delici Kucinic Valladolid (ssp. nov.) from Croatia and Bosnia and Herzegovina and Rhyacophila fasciata viteceki Valladolid Kucinic (ssp. nov.) from Bosnia and Herzegovina (Trichoptera: Rhyacophilidae).

We present the description of two new subspecies of the Rhyacophila fasciata Group: Rhyacophila fasciata delici Kucinic Valladolid (ssp. nov.), broadly distributed in Croatia and present also in Bosnia and Herzegovina, and R. fasciata viteceki Valladolid Kucinic (ssp. nov.), found in Bosnia and Herzegovina. Our study of the morphology of adults, as well as our analysis of the barcode region of the mitochondrial cytochrome oxidase I (mtCOI) gene and geographical distribution confirm the differences of the two new subspecies with the nominal species R. f. fasciata, also found in both countries.

Novel amplification targets for rapid detection and differentiation of Xylella fastidiosa subspecies fastidiosa and multiplex in plant and insect tissues.

Xylella fastidiosa is an insect-transmitted bacterial plant pathogen which causes a variety of economically important diseases worldwide. Molecular identification of X. fastidiosa is used for quarantine screening, surveillance, and research applications; many of which require subspecies level differentiation of pathogen isolates. This study describes quantitative PCR (qPCR) and isothermal amplification assays which can rapidly identify X. fastidiosa isolates belonging to the fastidiosa and multiplex subspecies. The TaqMan qPCR primers described here are used to differentiate X. fastidiosa strains by subspecies in plant and insect tissue in a single reaction, with the inclusion of a general amplification control probe to identify potential false negative samples. This TaqMan qPCR protocol can identify between 103 and 104 cfu/ml concentrations of X. fastidiosa at the subspecies level in a variety of sample types. Additionally, loop-mediated isothermal amplification (LAMP) targets were designed for faster detection of X. fastidiosa subspecies fastidiosa and multiplex, applicable to a field setting. These assays are effective for strain differentiation in artificially and naturally inoculated plant material, and in field collected insect vectors.

Evaluation of molecular assays for identification Campylobacter fetus species and subspecies and development of a C. fetus specific real-time PCR assay.

Phenotypic differentiation between Campylobacter fetus (C. fetus) subspecies fetus and C. fetus subspecies venerealis is hampered by poor reliability and reproducibility of biochemical assays. AFLP (amplified fragment length polymorphism) and MLST (multilocus sequence typing) are the molecular standards for C. fetus subspecies identification, but these methods are laborious and expensive. Several PCR assays for C. fetus subspecies identification have been described, but a reliable comparison of these assays is lacking. The aim of this study was to evaluate the most practical and routinely implementable published PCR assays designed for C. fetus species and subspecies identification. The sensitivity and specificity of the assays were calculated by using an extensively characterized and diverse collection of C. fetus strains. AFLP and MLST identification were used as reference. Two PCR assays were able to identify C. fetus strains correctly at species level. The C. fetus species identification target, gene nahE, of one PCR assay was used to develop a real-time PCR assay with 100% sensitivity and 100% specificity, but the development of a subspecies venerealis specific real-time PCR (ISCfe1) failed due to sequence variation of the target insertion sequence and prevalence in other Campylobacter species. None of the published PCR assays was able to identify C. fetus strains correctly at subspecies level. Molecular analysis by AFLP or MLST is still recommended to identify C. fetus isolates at subspecies level.