Wild-type strains of plague agent Yersinia pestis are characterized by a pigmentation phenotype (Pgm+), which includes several traits: an ability of cells to adsorb pigments (Hms+), an ability to produce siderophore yersiniabactin (Ybt+) and an ability to cause lethal infections in laboratory animals (Vir+) after subcutaneous injections. All these traits are encoded in the chromosomal pgm-locus, which gets rapidly lost due to deletion. One more trait related with the Pgm+ phenotype was detected in the present study, i.e. its siderophoric activity at 28 degrees C on the indication agar plates containing chrome azurol S (Sid+). After the four phenotypic characteristics of the Pgm+ phenotype were analyzed as well as after the four pgm-locus genes (hmsF, hmsR, irp2 and fyuA/psn) were detected by the method of hybridization and PCR, we compared 33 isogenous Pgm- mutants isolated from typical Y. pestis strain 923 by Hms-. The comparison showed that the mutants differed from each other according to the analyzed properties, which suggested that they were formed by different genetic mechanisms. Apart from the known mechanism of pgm-locus deletion, which causes an irreversible loss of Hms+, Ybt+ and Vir+ properties, two more mechanisms were detected. One of them is related with insertion damages to the pgm-locus genes, which also leads to the loss of the four traits but which can be reversed by the cultivation of cells at low temperature. The other mechanism is predetermined by unknown genetic processes ensuring the formation of mutants, which loose only their Hms+ properties and which can trigger its high-frequency reversion at 28 degrees C.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Background: Fetal growth restriction (FGR) is a leading risk factor for stillbirth, yet the diagnosis of FGR confers considerable prognostic uncertainty, as most infants with FGR do not experience any morbidity. Our objective was to use data from a large, deeply phenotyped observational obstetric cohort to develop a probabilistic graphical model (PGM), a type of "explainable artificial intelligence (AI)", as a potential framework to better understand how interrelated variables contribute to perinatal morbidity risk in FGR.
Methods: Using data from 9,558 pregnancies delivered at ≥ 20 weeks with available outcome data, we derived and validated a PGM using randomly selected sub-cohorts of 80% (n = 7645) and 20% (n = 1,912), respectively, to discriminate cases of FGR resulting in composite perinatal morbidity from those that did not.
Phenotypic vs. Genetic Mismatch of BMI and Type 2 Diabetes: Evidence from Two Perspective Cohort Studies.
Diabetes
December 2024
Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Little is known about the population-based mismatch between phenotypic and genetic BMI (BMI-PGM) and its association with type 2 diabetes. We therefore used data from the China Kadoorie Biobank and UK Biobank and calculated BMI-PGM for each participant as the difference between the percentile for adjusted BMI at baseline and the percentile for adjusted polygenic risk score for BMI. Participants were categorized into discordantly low (BMI-PGM< the 1st quartile), concordant (the 1st quartile ≤BMI-PGM
Arrhythmic Mitral Valve Prolapse Phenotype: An Unsupervised Machine Learning Analysis Using a Multicenter Cardiac MRI Registry.
Radiol Cardiothorac Imaging
June 2024
From the Primary Care Stratified Medicine Research Group, Centre for Academic Primary Care, Lifespan and Population Health Unit, School of Medicine, University of Nottingham, Nottingham, England (R.K.A.); IRCCS Humanitas Research Hospital, Rozzano, Italy (S.F., L.M., M.F.); School of Biomedical Engineering and Imaging Sciences-Faculty of Life Sciences and Medicine, King's College London, Westminster Bridge Rd, London SE1 7EH, England (S.F., V.S., A.C., G.G., P.G.M.); Department of Cardiology, Hospital de Santa Cruz, Centro Hospitalar de Lisboa Ocidental, Carnaxide, Lisbon, Portugal (P.M.L., A.M.F., J.A.); Department of Cardiology, University Hospital Muenster, Muenster, Germany (K.B.B., A.Y., A.R.F.); Department of Cardiology, Hartcentrum, Jessa Hospital, Hasselt, Belgium (S.M.F.); Faculty of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium (S.M.F.); Multimodality Cardiac Imaging Section, IRCSS Policlinico San Donato, San Donato Milanese, Italy (L.T., M.L.); Department of Radiology, Ca' Granda Ospedale Maggiore Policlinico, University of Milan, Milan, Italy (L.T.); Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy (S.M., G.P.); GVM Care & Research, Maria Cecilia Hospital, Cotignola, Italy (S.C., A.S.); Center for Cardiac MR, Lausanne University Hospital, CHUV, Lausanne, Switzerland (A.G.P., P.M., J.S.); Cardiologia-4, Dipartimento Cardio-toraco-vascolare A. De Gasperis, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy (I.B., G.Q., P.P.); Department of Cardiology, Hospital Universitario Vall d'Hebron, Institut de Recerca (VHIR), Universitat Autònoma de Barcelona, Barcelona, Spain (L.G.G., J.F.R.P.); Centro de Investigación Biomédica en Red, CIBERCV, Madrid, Spain (L.G.G., J.F.R.P.); Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht, Utrecht, the Netherlands (A.J.T., T.L.); Fondazione CNR/Regione Toscana G. Monasterio, Pisa, Italy (F.B., C.D.A.); Department of Clinical, Internal, Anesthesiology and Cardiovascular Sciences, Sapienza University of Rome, Rome, Italy (D.F., V.M., L.A.); Department of Cardiology, Istituto Auxologico Italiano, IRCCS, Milan, Italy (C.T., D.M., L.P.B.); Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy (D.M., L.P.B.); Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland (P.M., J.S.); Gasthuisberg University Hospital, Leuven, Belgium (B.V., J.B.); Department of Biomedical, Surgical and Dental Sciences (G.P.) and Department of Clinical Sciences and Community Health, Cardiovascular Section (D.A.), University of Milan, Milan, Italy; and Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece (G.G.).
Purpose To use unsupervised machine learning to identify phenotypic clusters with increased risk of arrhythmic mitral valve prolapse (MVP). Materials and Methods This retrospective study included patients with MVP without hemodynamically significant mitral regurgitation or left ventricular (LV) dysfunction undergoing late gadolinium enhancement (LGE) cardiac MRI between October 2007 and June 2020 in 15 European tertiary centers. The study end point was a composite of sustained ventricular tachycardia, (aborted) sudden cardiac death, or unexplained syncope.
View Article and Find Full Text PDFVariable presentation and outcomes of primary hyperparathyroidism in children and adolescents.
J Pediatr Endocrinol Metab
July 2024
Department of Endocrinology, I.P.G.M.E.R and S.S.K.M Hospitals, Kolkata, India.
Objectives: Primary hyperparathyroidism (PHPT) in paediatric and adolescent age group presents with some unique challenges for clinicians. While the disease in the adult counterparts presents with symptoms which are described quite extensively in literature, children/adolescents have manifestations which are quite different and severe compared to the former. The present case series aimed to highlight the peculiarities of presentation of PHPT in children and adolescents.
View Article and Find Full Text PDFVariable resource allocation pattern, biased sex-ratio, and extent of sexual dimorphism in subdioecious Hippophae rhamnoides.
PLoS One
April 2024
Department of Botany, University of Delhi, New Delhi, India.
Evolutionary maintenance of dioecy is a complex phenomenon and varies by species and underlying pathways. Also, different sexes may exhibit variable resource allocation (RA) patterns among the vegetative and reproductive functions. Such differences are reflected in the extent of sexual dimorphism.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!