scholarly journals Comparative genome-scale modelling ofStaphylococcus aureusstrains identifies strain-specific metabolic capabilities linked to pathogenicity

2016 ◽  
Vol 113 (26) ◽  
pp. E3801-E3809 ◽  
Author(s):  
Emanuele Bosi ◽  
Jonathan M. Monk ◽  
Ramy K. Aziz ◽  
Marco Fondi ◽  
Victor Nizet ◽  
...  

Staphylococcus aureusis a preeminent bacterial pathogen capable of colonizing diverse ecological niches within its human host. We describe here the pangenome ofS. aureusbased on analysis of genome sequences from 64 strains ofS. aureusspanning a range of ecological niches, host types, and antibiotic resistance profiles. Based on this set,S. aureusis expected to have an open pangenome composed of 7,411 genes and a core genome composed of 1,441 genes. Metabolism was highly conserved in this core genome; however, differences were identified in amino acid and nucleotide biosynthesis pathways between the strains. Genome-scale models (GEMs) of metabolism were constructed for the 64 strains ofS. aureus. These GEMs enabled a systems approach to characterizing the core metabolic and panmetabolic capabilities of theS. aureusspecies. All models were predicted to be auxotrophic for the vitamins niacin (vitamin B3) and thiamin (vitamin B1), whereas strain-specific auxotrophies were predicted for riboflavin (vitamin B2), guanosine, leucine, methionine, and cysteine, among others. GEMs were used to systematically analyze growth capabilities in more than 300 different growth-supporting environments. The results identified metabolic capabilities linked to pathogenic traits and virulence acquisitions. Such traits can be used to differentiate strains responsible for mild vs. severe infections and preference for hosts (e.g., animals vs. humans). Genome-scale analysis of multiple strains of a species can thus be used to identify metabolic determinants of virulence and increase our understanding of why certain strains of this deadly pathogen have spread rapidly throughout the world.

2018 ◽  
Vol 56 (7) ◽  
pp. 1063-1070 ◽  
Author(s):  
Enrique Rodriguez-Borja ◽  
Africa Corchon-Peyrallo ◽  
Esther Barba-Serrano ◽  
Celia Villalba Martínez ◽  
Arturo Carratala Calvo

Abstract Background: We assessed the impact of several “send & hold” clinical decision support rules (CDSRs) within the electronical request system for vitamins A, E, K, B1, B2, B3, B6 and C for all outpatients at a large health department. Methods: When ordered through electronical request, providers (except for all our primary care physicians who worked as a non-intervention control group) were always asked to answer several compulsory questions regarding main indication, symptomatology, suspected diagnosis, vitamin active treatments, etc., for each vitamin test using a drop-down list format. After samples arrival, tests were later put on hold internally by our laboratory information system (LIS) until review for their appropriateness was made by two staff pathologists according to the provided answers and LIS records (i.e. “send & hold”). The number of tests for each analyte was compared between the 10-month period before and after CDSRs implementation in both groups. Results: After implementation, vitamins test volumes decreased by 40% for vitamin A, 29% for vitamin E, 42% for vitamin K, 37% for vitamin B1, 85% for vitamin B2, 68% for vitamin B3, 65% for vitamin B6 and 59% for vitamin C (all p values 0.03 or lower except for vitamin B3), whereas in control group, the majority increased or remained stable. In patients with rejected vitamins, no new requests and/or adverse clinical outcome comments due to this fact were identified. Conclusions: “Send & hold” CDSRs are a promising informatics tool that can support in utilization management and enhance the pathologist’s leadership role as tests specialist.


FEBS Journal ◽  
2020 ◽  
Vol 287 (23) ◽  
pp. 5096-5113 ◽  
Author(s):  
Agnieszka B. Wegrzyn ◽  
Katharina Herzog ◽  
Albert Gerding ◽  
Marcel Kwiatkowski ◽  
Justina C. Wolters ◽  
...  

2020 ◽  
Vol 18 ◽  
pp. 3287-3300 ◽  
Author(s):  
Athanasios Antonakoudis ◽  
Rodrigo Barbosa ◽  
Pavlos Kotidis ◽  
Cleo Kontoravdi

2015 ◽  
Vol 43 (6) ◽  
pp. 1182-1186 ◽  
Author(s):  
Dipali Singh ◽  
Ross Carlson ◽  
David Fell ◽  
Mark Poolman

Marine diatoms have potential as a biotechnological production platform, especially for lipid-derived products, including biofuels. Here we introduce some features of diatom metabolism, particularly with respect to photosynthesis, photorespiration and lipid synthesis and their differences relative to other photosynthetic eukaryotes. Since structural metabolic modelling of other photosynthetic organisms has been shown to be capable of representing their metabolic capabilities realistically, we briefly review the main approaches to this type of modelling. We then propose that genome-scale modelling of the diatom Phaeodactylum tricornutum, in response to varying light intensity, could uncover the novel aspects of the metabolic potential of this organism.


2020 ◽  
Vol 60 ◽  
pp. 138-147 ◽  
Author(s):  
Hock Chuan Yeo ◽  
Jongkwang Hong ◽  
Meiyappan Lakshmanan ◽  
Dong-Yup Lee

2019 ◽  
Author(s):  
Joana Isidro ◽  
Susana Ferreira ◽  
Miguel Pinto ◽  
Fernanda Domingues ◽  
Mónica Oleastro ◽  
...  

AbstractArcobacter butzleri is a food and waterborne bacteria and an emerging human pathogen, frequently displaying a multidrug resistant character. Still, no comprehensive genome-scale comparative analysis has been performed so far, which has limited our knowledge on A. butzleri diversification and pathogenicity. Here, we performed a deep genome analysis of A. butzleri focused on decoding its core- and pan-genome diversity and specific genetic traits underlying its pathogenic potential and diverse ecology. In total, 49 A. butzleri strains (collected from human, animal, food and environmental sources) were screened.A. butzleri (genome size 2.07-2.58 Mbp) revealed a large open pan-genome with 7474 genes (about 50% being singletons) and a small core-genome with 1165 genes. The core-genome is highly diverse (≥55% of the core genes presenting at least 40/49 alleles), being enriched with genes associated with housekeeping functions. In contrast, the accessory genome presented a high proportion of loci with an unknown function, also being particularly overrepresented by genes associated with defence mechanisms. A. butzleri revealed a plastic virulome (including newly identified determinants), marked by the differential presence of multiple adaptation-related virulence factors, such as the urease cluster ureD(AB)CEFG (phenotypically confirmed), the hypervariable hemagglutinin-encoding hecA, a putative type I secretion system (T1SS) harboring another agglutinin potentially related to adherence and a novel VirB/D4 T4SS likely linked to interbacterial competition and cytotoxicity. In addition, A. butzleri harbors a large repertoire of efflux pumps (EPs) (ten “core” and nine differentially present) and other antibiotic resistant determinants. We provide the first description of a genetic determinant of macrolides resistance in A. butzleri, by associating the inactivation of a TetR repressor (likely regulating an EP) with erythromycin resistance. Fluoroquinolones resistance correlated with the Thr-85-Ile substitution in GyrA and ampicillin resistance was linked to an OXA-15-like β-lactamase. Remarkably, by decoding the polymorphism pattern of the porin- and adhesin-encoding main antigen PorA, this study strongly supports that this pathogen is able to exchange porA as a whole and/or hypervariable epitope-encoding regions separately, leading to a multitude of chimeric PorA presentations that can impact pathogen-host interaction during infection. Ultimately, our unprecedented screening of short sequence repeats detected potential phase-variable genes related to adaptation and host/environment interaction, such as lipopolysaccharide modification and motility/chemotaxis, suggesting that phase variation likely modulate A. butzleri key adaptive functions.In summary, this study constitutes a turning point on A. butzleri comparative genomics revealing that this human gastrointestinal pathogen is equipped with vast virulence and antibiotic resistance arsenals, which, coupled with its remarkable core- and pan-genome diversity, opens a multitude of phenotypic fingerprints for environmental/host adaptation and pathogenicity.IMPACT STATEMENTDiarrhoeal diseases are the most common cause of human illness caused by foodborne hazards, but the surveillance of diarrhoeal diseases is biased towards the most commonly searched infectious agents (namely Campylobacter jejuni and C. coli). In fact, other less studied pathogens are frequently found as the etiological agent when refined non-selective culture conditions are applied. A hallmark example is the diarrhoeal-causing Arcobacter butzleri which, despite being also associated with extra-intestinal diseases, such as bacteremia in humans and mastitis in animals, and displaying high rates of antibiotic resistance, has not yet been profoundly investigated regarding its epidemiology, diversity and pathogenicity. To overcome the general lack of knowledge on A. butzleri comparative genomics, we provide the first comprehensive genome-scale analysis of A. butzleri focused on exploring the intraspecies virulome content and diversity, resistance determinants, as well as how this pathogen shapes its genome towards ecological adaptation and host invasion. The unveiled scenario of A. butzleri rampant diversity and plasticity reinforces the pathogenic potential of this food and waterborne hazard, while opening multiple research lines that will certainly contribute to the future development of more robust species-oriented diagnostics and molecular surveillance of A. butzleri.DATA SUMMARYA. butzleri raw sequence reads generated in the present study were deposited in the European Nucleotide Archive (ENA) (BioProject PRJEB34441). The assembled contigs (.fasta and .gbk files), the nucleotide sequences of the predicted transcripts (CDS, rRNA, tRNA, tmRNA, misc_RNA) (.ffn files) and the respective amino acid sequences of the translated CDS sequences (.faa files) are available at http://doi.org/10.5281/zenodo.3434222. Detailed ENA accession numbers, as well as the draft genome statistics are described in Table S1.


2021 ◽  
Author(s):  
Roberta Koku ◽  
David R. Herndon ◽  
Johannetsy Avillan ◽  
Jillian Morrison ◽  
James E. Futse ◽  
...  

Vector-borne pathogens commonly establish multi-strain infections, also called complex infections. How complex infections are established, either prior to or after the development of an adaptive immune response, termed co-infection or superinfection, respectively, has broad implications for the maintenance of genetic diversity, pathogen phenotype, epidemiology, and disease control strategies. Anaplasma marginale , a genetically diverse, obligate, intracellular tick-borne bacterial pathogen of cattle commonly establishes complex infections, particularly in regions with high transmission rates. Both co-infection and superinfection can be established experimentally, however it is unknown how complex infections develop in a natural transmission setting. To address this question, we introduced naïve animals into a herd in southern Ghana with high infection prevalence and high transmission pressure and tracked strain acquisition of A. marginale through time using multi-locus sequence typing. As expected, genetic diversity among strains was high and 97% of animals in the herd harboured multiple strains. All the introduced, naïve animals became infected, and three to four strains were typically detected in an individual animal prior to seroconversion, while one to two new strains were detected in an individual animal following seroconversion. On average, the number of strains acquired via superinfection was 16% less than those acquired via co-infection. Thus, while complex infections develop via both co-infection and superinfection, co-infection predominates in this setting. These findings have broad implications for the development of control strategies in high transmission settings.


2010 ◽  
Vol 9 (1) ◽  
pp. 39-50 ◽  
Author(s):  
Radhakrishnan Mahadevan ◽  
Bernhard Ø. Palsson ◽  
Derek R. Lovley

2014 ◽  
Vol 10 (9) ◽  
pp. e1003837 ◽  
Author(s):  
Hojung Nam ◽  
Miguel Campodonico ◽  
Aarash Bordbar ◽  
Daniel R. Hyduke ◽  
Sangwoo Kim ◽  
...  

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