ArticlePloS one2013
Detection of Bacillus anthracis DNA in complex soil and air samples using next-generation sequencing.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 32 citations in OpenAlex.
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- High-Throughput Sequencing Methods for the Detection of Two Strawberry Viruses in Post-Entry Quarantine.Viruses · 2024Article
- Novel Virus Identification through Metagenomics: A Systematic Review.Life (Basel, Switzerland) · 2022Review
- Metagenomic features of bioburden serve as outcome indicators in combat extremity wounds.Scientific reports · 2022Article
- Rapid and Sensitive Multiplex Assay for the Detection ofPathogens (Basel, Switzerland) · 2020Article
- Rapid identification of unknown pathogens in environmental samples using a high-throughput sequencing-based approach.Heliyon · 2019Article
- Axiom Microbiome Array, the next generation microarray for high-throughput pathogen and microbiome analysis.PloS one · 2019Article
- Article
- Temporal dynamics in microbial soil communities at anthrax carcass sites.BMC microbiology · 2017Article
- Article
- Rapid Detection of Bacillus anthracis Spores Using Immunomagnetic Separation and Amperometry.Biosensors · 2016Article
- Rapid Detection of Viable Bacillus anthracis Spores in Environmental Samples by Using Engineered Reporter Phages.Applied and environmental microbiology · 2016Article
- Targeted amplification for enhanced detection of biothreat agents by next-generation sequencing.BMC research notes · 2015Article
- Metagenomic analysis of the airborne environment in urban spaces.Microbial ecology · 2015Article
- Microbial profiling of combat wound infection through detection microarray and next-generation sequencing.Journal of clinical microbiology · 2014Article
- Comparison of three next-generation sequencing platforms for metagenomic sequencing and identification of pathogens in blood.BMC genomics · 2014Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bacillus anthracis is the potentially lethal etiologic agent of anthrax disease, and is a significant concern in the realm of biodefense. One of the cornerstones of an effective biodefense strategy is the ability to detect infectious agents with a high degree of sensitivity and specificity in the context of a complex sample background. The nature of the B. anthracis genome, however, renders specific detection difficult, due to close homology with B. cereus and B. thuringiensis. We therefore elected to determine the efficacy of next-generation sequencing analysis and microarrays for detection of B. anthracis in an environmental background. We applied next-generation sequencing to titrated genome copy numbers of B. anthracis in the presence of background nucleic acid extracted from aerosol and soil samples. We found next-generation sequencing to be capable of detecting as few as 10 genomic equivalents of B. anthracis DNA per nanogram of background nucleic acid. Detection was accomplished by mapping reads to either a defined subset of reference genomes or to the full GenBank database. Moreover, sequence data obtained from B. anthracis could be reliably distinguished from sequence data mapping to either B. cereus or B. thuringiensis. We also demonstrated the efficacy of a microbial census microarray in detecting B. anthracis in the same samples, representing a cost-effective and high-throughput approach, complementary to next-generation sequencing. Our results, in combination with the capacity of sequencing for providing insights into the genomic characteristics of complex and novel organisms, suggest that these platforms should be considered important components of a biosurveillance strategy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.