

@article {17160,
	title = {SYBR{\textregistered}Green qPCR Salmonella detection system allowing discrimination at the genus, species and subspecies levels},
	journal = {Applied Microbiology and BiotechnologyApplied Microbiology and Biotechnology},
	volume = {97},
	number = {22},
	year = {2013},
	month = {November 01},
	pages = {9811-9824},
	type = {journal article},
	abstract = {In this work, a three-level Salmonella detection system based on a combination of seven SYBR{\textregistered}Green qPCR was developed. This detection system discriminates Salmonella at the genus, species and subspecies levels using a single 96-well plate. The SYBR{\textregistered}Green qPCR assays target the invA, rpoD, iroB and safC genes, as well as the STM0296 locus, putatively coding for a cytoplasmic protein. This study includes the design of primer pairs, in silico and in situ selectivity, sensitivity, repeatability and reproducibility evaluations of the seven SYBR{\textregistered}Green qPCR assays. Each detection level displayed a selectivity of 100~\%. This combinatory SYBR{\textregistered}Green qPCR system was also compared with three commercially available Salmonella qPCR detection kits. This comparison highlighted the importance of using a multi-gene detection system to be able to detect every target strain, even those with deletion or mutation of important genes.},
	isbn = {1432-0614},
	author = {Barbau-Piednoir, Elodie and Bertrand, Sophie and Mahillon, Jacques and Roosens, Nancy H. and Botteldoorn, Nadine}
}
