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Genome sequence and description of Pantoea septica strain FF5

Overview of attention for article published in Environmental Microbiome, November 2015
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Title
Genome sequence and description of Pantoea septica strain FF5
Published in
Environmental Microbiome, November 2015
DOI 10.1186/s40793-015-0083-0
Pubmed ID
Authors

Cheikh Ibrahima Lo, Roshan Padhmanabhan, Oleg Mediannikov, Thi Tien Nguyen, Didier Raoult, Pierre-Edouard Fournier, Florence Fenollar

Abstract

Strain FF5 was isolated from the skin flora of a healthy Senegalese 35-year-old woman. This strain was identified as belonging to the species Pantoea septica based on rpoB sequence identity of 99.7 % with Pantoea septica strain LMG 5345(T) and a highest MALDI-TOF-MS score of 2.3 with Pantoea septica. Like P. septica, this FF5 strain is a Gram-negative, aerobic, motile, and rod-shaped bacterium. Currently, 17 genomes have been sequenced within the genus Pantoea but none for Pantoea septica. Herein, we compared the genomic properties of strain FF5 to those of other species within the genus Pantoea. The genome of this strain is 4,548,444 bp in length (1 chromosome, no plasmid) with a G + C content of 59.1 % containing 4125 protein-coding and 68 RNA genes (including 2 rRNA operons). We also performed an extensive phenotypic analysis showing new phenotypic characteristics such as the production of alkaline phosphatase, acid phosphatase and naphthol-AS-BI-phosphohydrolase.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 33%
Lecturer 2 11%
Unspecified 1 6%
Student > Bachelor 1 6%
Librarian 1 6%
Other 2 11%
Unknown 5 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 28%
Agricultural and Biological Sciences 3 17%
Unspecified 1 6%
Veterinary Science and Veterinary Medicine 1 6%
Computer Science 1 6%
Other 1 6%
Unknown 6 33%