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Evaluation of 16S rRNA Hypervariable Regions for Bioweapon Species Detection by Massively Parallel Sequencing
المؤلفون المشاركون
Dias, Victor H. G.
Gomes, Priscila da S. F. C.
Azevedo-Martins, Allan C.
Cabral, Bianca C. A.
Woerner, August E.
Budowle, Bruce
Moura-Neto, Rodrigo S.
Silva, Rosane
المصدر
International Journal of Microbiology
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-09-26
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Molecular detection and classification of the bacterial groups in a sample are relevant in several areas, including medical research and forensics.
Sanger sequencing of the 16S rRNA gene is considered the gold standard for microbial phylogenetic analysis.
However, the development of massively parallel sequencing (MPS) offers enhanced sensitivity and specificity for microbiological analyses.
In addition, 16S rRNA target amplification followed by MPS facilitates the combined use of multiple markers/regions, better discrimination of sample background, and higher sample throughput.
We designed a novel set of 16S rRNA gene primers for detection of bacterial species associated with clinical, bioweapon, and biohazards microorganisms via alignment of 364 sequences representing 19 bacterial species and strains relevant to medical and forensics applications.
In silico results indicated that the hypervariable regions (V1V2), (V4V5), and (V6V7V8) support the resolution of a selected group of bacteria.
Interspecies and intraspecies comparisons showed 74.23%–85.51% and 94.48%–99.98% sequencing variation among species and strains, respectively.
Sequence reads from a simulated scenario of bacterial species mapped to each of the three hypervariable regions of the respective species with different affinities.
The minimum limit of detection was achieved using two different MPS platforms.
This protocol can be used to detect or monitor as low as 2,000 genome equivalents of bacterial species associated with clinical, bioweapon, and biohazard microorganisms and potentially can distinguish natural outbreaks of pathogenic microorganisms from those occurring by intentional release.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Dias, Victor H. G.& Gomes, Priscila da S. F. C.& Azevedo-Martins, Allan C.& Cabral, Bianca C. A.& Woerner, August E.& Budowle, Bruce…[et al.]. 2020. Evaluation of 16S rRNA Hypervariable Regions for Bioweapon Species Detection by Massively Parallel Sequencing. International Journal of Microbiology،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1172461
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Dias, Victor H. G.…[et al.]. Evaluation of 16S rRNA Hypervariable Regions for Bioweapon Species Detection by Massively Parallel Sequencing. International Journal of Microbiology No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1172461
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Dias, Victor H. G.& Gomes, Priscila da S. F. C.& Azevedo-Martins, Allan C.& Cabral, Bianca C. A.& Woerner, August E.& Budowle, Bruce…[et al.]. Evaluation of 16S rRNA Hypervariable Regions for Bioweapon Species Detection by Massively Parallel Sequencing. International Journal of Microbiology. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1172461
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1172461
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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