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Whole genome DNA sequence analysis of Salmonella enterica subspecies isolated from environmental soil and fecal samples in western North Carolina.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
書名/作者:	Whole genome DNA sequence analysis of Salmonella enterica subspecies isolated from environmental soil and fecal samples in western North Carolina.
作者:	Russell, David Austin.
面頁冊數:	67 p.
附註:	Source: Masters Abstracts International, Volume: 55-02.
Contained By:	Masters Abstracts International55-02(E).
標題:	Molecular biology.
標題:	Microbiology.
ISBN:	9781339266923
摘要、提要註:	Foodborne bacterial pathogens like Salmonella genera remain of interest to regulatory agencies like the FDA and CDC. As a foodborne pathogen, capable of causing serious illness in both human and non-human animals, the CDC has listed Salmonella spp. as potential bioterrorism agents. From a forensic perspective, accurate and rapid identification of Salmonella subspecies is essential for successful investigation of foodborne outbreaks or suspected biocrimes. Massively parallel sequencing (MPS) provides investigators with a streamlined, cost-effective method to rapidly sequence the whole bacterial genome. To study the genetic variation of naturally occurring Salmonella spp., environmental samples were collected from areas around freshwater lakes, rivers and ponds in the Piedmont and mountains of western North Carolina. Nineteen Salmonella isolates were sequenced using the Illumina MiSeq producing high quality sequence data that were submitted to NCBI in an effort to build a comprehensive database containing whole genome sequences of bacterial pathogens. Distance--based phylogenetic trees were created using the sequence information. This method was shown to be susceptible to the quality of the given sequence data. kSNP, a SNP analysis program to create phylogenetic trees, was shown to produce trees of similar quality without the influences of sequence quality as found in distance-based trees. Ultimately, the databases generated from MPS data can serve as a repository of phylogenetic information and population data to most effectively answer questions germane to bacterial forensics, such as identifying the source of a foodborne outbreak.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1604276

Whole genome DNA sequence analysis of Salmonella enterica subspecies isolated from environmental soil and fecal samples in western North Carolina.
Russell, David Austin.

Whole genome DNA sequence analysis of Salmonella enterica subspecies isolated from environmental soil and fecal samples in western North Carolina. - 67 p.

Source: Masters Abstracts International, Volume: 55-02.

Thesis (M.S.)--Western Carolina University, 2015.

Foodborne bacterial pathogens like Salmonella genera remain of interest to regulatory agencies like the FDA and CDC. As a foodborne pathogen, capable of causing serious illness in both human and non-human animals, the CDC has listed Salmonella spp. as potential bioterrorism agents. From a forensic perspective, accurate and rapid identification of Salmonella subspecies is essential for successful investigation of foodborne outbreaks or suspected biocrimes. Massively parallel sequencing (MPS) provides investigators with a streamlined, cost-effective method to rapidly sequence the whole bacterial genome. To study the genetic variation of naturally occurring Salmonella spp., environmental samples were collected from areas around freshwater lakes, rivers and ponds in the Piedmont and mountains of western North Carolina. Nineteen Salmonella isolates were sequenced using the Illumina MiSeq producing high quality sequence data that were submitted to NCBI in an effort to build a comprehensive database containing whole genome sequences of bacterial pathogens. Distance--based phylogenetic trees were created using the sequence information. This method was shown to be susceptible to the quality of the given sequence data. kSNP, a SNP analysis program to create phylogenetic trees, was shown to produce trees of similar quality without the influences of sequence quality as found in distance-based trees. Ultimately, the databases generated from MPS data can serve as a repository of phylogenetic information and population data to most effectively answer questions germane to bacterial forensics, such as identifying the source of a foodborne outbreak.

ISBN: 9781339266923Subjects--Topical Terms:

182854
Molecular biology.

Whole genome DNA sequence analysis of Salmonella enterica subspecies isolated from environmental soil and fecal samples in western North Carolina.
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