Quantitative oligonucleotide microarray fingerprinting of Salmonella enterica isolates

Alan Willse; Timothy M Straub; Sharon C Wunschel; Jack A Small; Douglas R Call; Don S Daly; Darrell P Chandler

doi:10.1093/nar/gkh329

Back

Quantitative oligonucleotide microarray fingerprinting of Salmonella enterica isolates

Journal article

Open access

Peer reviewed

Quantitative oligonucleotide microarray fingerprinting of Salmonella enterica isolates

Alan Willse, Timothy M Straub, Sharon C Wunschel, Jack A Small, Douglas R Call, Don S Daly and Darrell P Chandler

Nucleic acids research, Vol.32(5), pp.1848-1856

2004

DOI: https://doi.org/10.1093/nar/gkh329

Handle:

https://hdl.handle.net/2376/104021

PMCID: PMC390327

PMID: 15037662

Files and links (1)

url

https://doi.org/10.1093/nar/gkh329View

Published (Version of record) Open

Abstract

We report on a genome-independent microbial fingerprinting method using nucleic acid microarrays for microbial forensics and epidemiology applications and demonstrate that the microarray method provides high resolution differentiation between closely related microorganisms, using Salmonella enterica strains as the test case. In replicate trials we used a simple 192 probe nonamer array to construct a fingerprint library of 25 closely related Salmonella isolates. Controlling false discovery rate for multiple testing at α = 0.05, at least 295 of 300 pairs of S.enterica isolate fingerprints were found to be statistically distinct using a modified Hotelling T 2 test. Although most pairs of Salmonella fingerprints are found to be distinct, forensic applications will also require a protocol for library construction and reliable microbial classification against a fingerprint library. We outline additional steps required to produce such a protocol.

Metrics

9 Record Views

Details

Title: Quantitative oligonucleotide microarray fingerprinting of Salmonella enterica isolates
Creators: Alan Willse - Statistics and Quantitative Sciences Group and
Timothy M Straub - Statistics and Quantitative Sciences Group and
Sharon C Wunschel - Statistics and Quantitative Sciences Group and
Jack A Small - Statistics and Quantitative Sciences Group and
Douglas R Call - Statistics and Quantitative Sciences Group and
Don S Daly - Statistics and Quantitative Sciences Group and
Darrell P Chandler - Statistics and Quantitative Sciences Group and
Publication Details: Nucleic acids research, Vol.32(5), pp.1848-1856
Academic Unit: Paul G. Allen School for Global Animal Health
Publisher: Oxford University Press; Oxford, UK
Identifiers: 99900546894701842
Language: English
Resource Type: Journal article