gndDb, a Database of Partial gnd Sequences To Assist with Analysis of Escherichia coli Communities Using High-Throughput Sequencing

Author:

Cookson Adrian L.12ORCID,Lacher David W.3,Scheutz Flemming4,Wilkinson David A.25ORCID,Biggs Patrick J.265,Marshall Jonathan C.26,Brightwell Gale15

Affiliation:

1. AgResearch Limited, Hopkirk Research Institute, Palmerston North, New Zealand

2. mEpiLab, Hopkirk Research Institute, School of Veterinary Science, Massey University, Palmerston North, New Zealand

3. Division of Molecular Biology, Office of Applied Research and Safety Assessment, Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, Laurel, Maryland, USA

4. Department of Microbiology and Infection Control, Statens Serum Institut, Copenhagen, Denmark

5. New Zealand Food Science and Safety Research Centre, Massey University, Palmerston North, New Zealand

6. School of Fundamental Sciences, Massey University, Palmerston North, New Zealand

Abstract

The use of culture methods to detect Escherichia coli diversity does not provide sufficient resolution to identify strains present at low levels. Here, we target the hypervariable gnd gene and describe a database containing 534 distinct partial gnd sequences and associated O groups for use with culture-independent E. coli community analysis.

Publisher

American Society for Microbiology

Subject

Genetics,Immunology and Microbiology (miscellaneous),Molecular Biology

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