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Complete genome sequence of Salmonella enterica subspecies arizonae str. RKS2983

Overview of attention for article published in Environmental Microbiome, June 2015
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Title
Complete genome sequence of Salmonella enterica subspecies arizonae str. RKS2983
Published in
Environmental Microbiome, June 2015
DOI 10.1186/s40793-015-0015-z
Pubmed ID
Authors

Chun-Xiao Wang, Song-Ling Zhu, Xiao-Yu Wang, Ye Feng, Bailiang Li, Yong-Guo Li, Randal N Johnston, Gui-Rong Liu, Jin Zhou, Shu-Lin Liu

Abstract

Salmonella arizonae (also called Salmonella subgroup IIIa) is a Gram-negative, non-spore-forming, motile, rod-shaped, facultatively anaerobic bacterium. S. arizonae strain RKS2983 was isolated from a human in California, USA. S. arizonae lies somewhere between Salmonella subgroups I (human pathogens) and V (also called S. bongori; usually non-pathogenic to humans) and so is an ideal model organism for studies of bacterial evolution from non-human pathogen to human pathogens. We hence sequenced the genome of RKS2983 for clues of genomic events that might have led to the divergence and speciation of Salmonella into distinct lineages with diverse host ranges and pathogenic features. The 4,574,836 bp complete genome contains 4,203 protein-coding genes, 82 tRNA genes and 7 rRNA operons. This genome contains several characteristics not reported to date in Salmonella subgroup I or V and may provide information about the genetic divergence of Salmonella pathogens.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 22%
Student > Bachelor 3 13%
Student > Master 2 9%
Other 1 4%
Librarian 1 4%
Other 2 9%
Unknown 9 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 17%
Agricultural and Biological Sciences 4 17%
Medicine and Dentistry 3 13%
Veterinary Science and Veterinary Medicine 1 4%
Computer Science 1 4%
Other 1 4%
Unknown 9 39%