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Bacterial Identification and Drug Susceptibility Patterns in Pregnant and Non Pregnant UTI Patients

  • Syeda Sograh Fatima
  • Eman Al Mussaed

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Also part of the SpringerBriefs in Forensic and Medical Bioinformatics book sub series (BRIEFSFOMEBI)

Table of contents

  1. Front Matter
    Pages i-vi
  2. Syeda Sograh Fatima, Eman Al Mussaed
    Pages 1-22
  3. Syeda Sograh Fatima, Eman Al Mussaed
    Pages 23-46
  4. Syeda Sograh Fatima, Eman Al Mussaed
    Pages 47-60
  5. Syeda Sograh Fatima, Eman Al Mussaed
    Pages 61-78

About this book

Introduction

This book provides a review of essential research on urinary tract infections (UTIs), as well as a broader perspective on methodologies adopted for the isolation and identification of the bacteria from urine samples of pregnant and non-pregnant women on the basis of their cultural, morphological and biochemical characteristics. The identification is extended to the strain level by means of molecular identification involving BLAST as a bioinformatics tool. The book also addresses the roles of various other bioinformatics tools for tracing the phylogenetic tree and conservation studies among the bacteriocin of the identified bacteria. Lastly, it assesses the antibiotics resistance patterns of these isolates.

Keywords

Antibiotic Susceptibility Urinary Tract Infections (UTI) Antibiotics Resistance Patterns Basic Local Alignment Search Tool (BLAST) Urine Samples Evolutionary Studies of UTI Bacteria

Authors and affiliations

  • Syeda Sograh Fatima
    • 1
  • Eman Al Mussaed
    • 2
  1. 1.Basic Sciences DepartmentPrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia
  2. 2.Basic Sciences DepartmentPrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-4750-3
  • Copyright Information The Author(s) 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-10-4749-7
  • Online ISBN 978-981-10-4750-3
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site