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35 results for “Bacillus anthracis”

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zenodo40/100

Bacillus_A anthracis MYb220

This is one of the Wormbiome database archive files.<br>This entry includes all the genome annotation files related to Bacillus_A anthracis MYb220, a\(n\) Bacilli.<br>The Wormbiome collection is an online database dedicated to centralizing all the information related to bacteria associated with C. elegans. More information on <a href="https://bitbucket.org/the-samuel-lab/wbm_scripts/src/master/DOCS/Annotations_output.md" target="_blank" rel="noopener noreferrer">the documentation page</a>.<br><br>

opencc-zeroFeb 2024View details →
dryad32/100

Data from: Ecological niche modeling as a tool for prediction of the potential geographic distribution of Bacillus anthracis spores in Tanzania

Introduction: Anthrax is caused by the spore-forming, Gram-positive bacterium Bacillus anthracis. The aim of this study was to predict the potential distribution of B. anthracis in Tanzania and produce epidemiological evidence for the management of anthrax outbreaks in the country. Methods: The Maxent algorithm was used to predict areas at risk of anthrax outbreaks based on the occurrence and environmental data in Arusha and Kilimanjaro regions; the model was later transferred to predict the entire country. Seventy percent of the occurrence data were used to train the model, while 30% were used for model evaluation. Results: Four regions of northern Tanzania are predicted to have a high risk for anthrax outbreaks, while the southern and western regions had low-risk areas. Soil type (56.5%), soil pH (23.7%), and isothermally (10.4%) were the most important variables for the model prediction, and the most significant soil types were solonetz, fluvisols, and lithosols. Conclusions: A strong risk level across districts of the Tanzania mainland was identified in this study. A total of 18 districts in Tanzania Mainland are predicted to be at very high risk of an anthrax outbreak occurrence. These findings are important for policymakers to effectively mount targeted control measures for anthrax outbreaks in Tanzania.

opencc-zeroDec 2018View details →
dryad32/100

Data from: Whole genome-sequencing and phylogenetic analysis of a historical collection of Bacillus anthracis strains from Danish cattle

Bacillus anthracis, the causative agent of anthrax, is known as one of the most genetically monomorphic species. Canonical single-nucleotide polymorphism (SNP) typing and whole-genome sequencing were used to investigate the molecular diversity of eleven B. anthracis strains isolated from cattle in Denmark between 1935 and 1988. Danish strains were assigned into five canSNP groups or lineages, i.e. A.Br.001/002 (n = 4), A.Br.Ames (n = 2), A.Br.008/011 (n = 2), A.Br.005/006 (n = 2) and A.Br.Aust94 (n = 1). The match with the A.Br.Ames lineage is of particular interest as the occurrence of such lineage in Europe is demonstrated for the first time, filling an historical gap within the phylogeography of the lineage. Comparative genome analyses of these strains with 41 isolates from other parts of the world revealed that the two Danish A.Br.008/011 strains were related to the heroin-associated strains responsible for outbreaks of injection anthrax in drug users in Europe. Eight novel diagnostic SNPs that specifically discriminate the different sub-groups of Danish strains were identified and developed into PCR-based genotyping assays.

opencc-zeroDec 2014View details →
dryad32/100

A classification framework for Bacillus anthracis defined by global genomic structure

<p><i>Bacillus anthracis</i>, the causative agent of anthrax, is a considerable global health threat affecting wildlife, livestock, and the general public. In this study whole-genome sequence analysis of over 350 <i>B. anthracis</i> isolates was used to establish a new high-resolution global genotyping framework that is both biogeographically informative, and compatible with multiple genomic assays. The data presented in this study shed new light on the diverse global dissemination of this species and indicate that many lineages may be uniquely suited to the geographic regions in which they are found. In addition, we demonstrate that plasmid genomic structure for this species is largely consistent with chromosomal population structure, suggesting vertical inheritance in this bacterium has contributed to its evolutionary persistence. This classification methodology is the first based on population genomic structure for this species and has potential use for local and broader institutions seeking to understand both disease outbreak origins and recent introductions. In addition, we provide access to a newly developed genotyping script as well as the full whole genome sequence analyses output for this study, allowing future studies to rapidly employ and append their data in the context of this global collection. This framework may act as a powerful tool for public health agencies, wildlife disease laboratories, and researchers seeking to utilize and expand this classification scheme for further investigations into <i>B. anthracis</i> evolution.</p>

opencc-zeroDec 2019View details →
dryad32/100

Data from: Whole genome-sequencing and phylogenetic analysis of a historical collection of Bacillus anthracis strains from Danish cattle

Open the record for dataset details and reuse information.

publicAug 2016View details →
dryad32/100

Data from: Ecological niche modeling as a tool for prediction of the potential geographic distribution of Bacillus anthracis spores in Tanzania

Open the record for dataset details and reuse information.

publicFeb 2019View details →
dryad32/100

Data from: High-throughput sequencing of Bacillus anthracis in France: investigating genome diversity and population structure using whole-genome SNP discovery

Open the record for dataset details and reuse information.

publicMar 2015View details →
dryad32/100

A classification framework for Bacillus anthracis defined by global genomic structure

Open the record for dataset details and reuse information.

publicDec 2019View details →
geo24/100

Changes in Bacillus anthracis CodY regulation under host-specific environmental factor deprived conditions

GEO Series GSE79644. Bacillus anthracis str. Sterne. 24 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenAug 2016View details →
geo24/100

Direct regulons of the master virulence regulator AtxA of Bacillus anthracis

GEO Series GSE167871. Bacillus anthracis. 37 samples. Type: Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing.

openGEO-OpenJun 2021View details →
geo24/100

Global transcriptomic response of modified Bacillus anthracis over expressing protective antigen

GEO Series GSE108973. Bacillus anthracis str. Ames. 18 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2018View details →
geo24/100

Transcriptome RNA Sequencing Data Sets of Bacillus anthracis Vollum DhtrA and Parental Isogenic Wild-Type Strains under Oxidative Stress Conditions

GEO Series GSE151208. Bacillus anthracis str. Vollum. 14 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMay 2020View details →
geo24/100

Strand-specific RNA-seq reveals ordered patterns of sense and antisense transcription in Bacillus anthracis

GEO Series GSE36506. Bacillus anthracis. 4 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2012View details →
geo24/100

Bacillus anthracis gene expression upon plantazolicin and Me2-Arg-Az5

GEO Series GSE73343. Bacillus anthracis str. Sterne. 9 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2017View details →
geo24/100

Plasmid-encoded Small Regulatory RNAs Regulate Chromosome Gene Expression in Bacillus anthracis

GEO Series GSE152356. Bacillus anthracis. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2021View details →
geo24/100

Expression analysis of Bacillus anthracis Sterne wild-type and deltaClpX mutant strains

GEO Series GSE94398. Bacillus anthracis str. Sterne. 6 samples. Type: Expression profiling by array.

openGEO-OpenFeb 2018View details →
geo20/100

Gene Expression of Primary Human Type I Alveolar Epithelial Cells Exposed to Bacillus anthracis, Sterne endospores

GEO Series GSE102106. Homo sapiens. 12 samples. Type: Expression profiling by array.

openGEO-OpenAug 2018View details →
geo20/100

Activity of the Bacillus anthracis 20 kDa protective antigen component

GEO Series GSE12533. Homo sapiens. 14 samples. Type: Expression profiling by array.

openGEO-OpenAug 2008View details →
geo20/100

Bacillus anthracis' lethal toxin induces broad transcriptional responses in human peripheral monocyte.

GEO Series GSE34407. Homo sapiens. 8 samples. Type: Expression profiling by array.

openGEO-OpenDec 2012View details →
geo20/100

Transcriptional response of Bacillus anthracis to targocil and role of EdsRS in regulating this response

GEO Series GSE142363. Bacillus anthracis. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2020View details →

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