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Genomic diversity of Escherichia coli, associated with Bacteremia

AUTHOR Bin Thani Ali
PUBLISHER LAP Lambert Academic Publishing (10/02/2014)
PRODUCT TYPE Paperback (Paperback)

Description
The genomic contents of 10 clinical bloodstream infection-associated E. coli strains, isolated at the Leicester Royal Infirmary were investigated in this study. Approaches used to investigate the genomic contents of these strains were: sequential PCR strategy, and the Microarray-Assisted mobilome Prospecting (MAmP). The study proved that such strategies are successful in addressing and identifying mobilome-rich strains. Therefore, using such approaches in combination with whole genome sequencing projects could prioritize the strains and the genomic regions that need to be sequenced. Such prioritization would avoid sequencing of hundreds of isolates to identify their novel gene pool and would reduce the cost of genomic sequencing. Moreover, applying such approaches for the identification of new virulence genes and/or pathogenic mechanisms could lead to significant improvements in the treatment of E. coli infections.
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Product Details
ISBN-13: 9783659607080
ISBN-10: 3659607088
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
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Page Count: 188
Carton Quantity: 38
Product Dimensions: 6.00 x 0.43 x 9.00 inches
Weight: 0.62 pound(s)
Country of Origin: US
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BISAC Categories
Science | Life Sciences - Microbiology
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The genomic contents of 10 clinical bloodstream infection-associated E. coli strains, isolated at the Leicester Royal Infirmary were investigated in this study. Approaches used to investigate the genomic contents of these strains were: sequential PCR strategy, and the Microarray-Assisted mobilome Prospecting (MAmP). The study proved that such strategies are successful in addressing and identifying mobilome-rich strains. Therefore, using such approaches in combination with whole genome sequencing projects could prioritize the strains and the genomic regions that need to be sequenced. Such prioritization would avoid sequencing of hundreds of isolates to identify their novel gene pool and would reduce the cost of genomic sequencing. Moreover, applying such approaches for the identification of new virulence genes and/or pathogenic mechanisms could lead to significant improvements in the treatment of E. coli infections.
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