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Dataset on phenotypic characterization, on protein and genome analysis of three fluorescent Pseudomonas strains from mid-mountain water
- Source :
- Data in Brief, Vol 30, Iss, Pp 105466-(2020), Data in Brief, Data in Brief, 2020, 30, pp.105466. ⟨10.1016/j.dib.2020.105466⟩
- Publication Year :
- 2020
- Publisher :
- Elsevier, 2020.
-
Abstract
- International audience; The identification of non-fermentative Gram negative bacilli from run-off and spring water, including fluorescent Pseudomonas is very complex and investigations are needed to contribute to the systematic of these bacteria. In this dataset, the phenotypical profiles of three strains isolated from Vosges mountains first identified as Pseudomonas fluorescens were determined using APIⓇ 50 CH galleries. Then, the identification of their proteins released directly into water was carried out using tandem/mass spectrometry after separating proteins on native two-dimensional polyacrylamide gels. Finally, genotypic analysis data is presented, that illustrates biodiversity in this fluorescent bacterial group. This data is referred by a research article entitled "Fluorescent Pseudomonas strains from mid-mountain water able to release antioxidant proteins directly into water".
- Subjects :
- TOF/TOF, time-of-flight/time-of-flight
Proteomics
MS/MS, tandem mass spectrometry
PFF, peptide fragment fingerprinting
Spot no., spot number
NCBI, National Center for Biotechnology Information
R, reviewed
Genome sequencing
lcsh:Computer applications to medicine. Medical informatics
MW, molecular weight
Nb, number of experimental peptides recognized
ANI, average nucleotide identity
MALDI, matrix assisted laser desorption ionization
Bacterial identification
lcsh:Science (General)
Immunology and Microbiology
[QFIN]Quantitative Finance [q-fin]
[SDE.IE]Environmental Sciences/Environmental Engineering
P., Pseudomonas
Fluorescent Pseudomonas
MS, mass spectrometry
NR, not reviewed
PMF, peptide mass fingerprinting
lcsh:R858-859.7
ppm, parts per million
TCS, tetra correlation search
lcsh:Q1-390
Subjects
Details
- Language :
- English
- ISSN :
- 23523409
- Volume :
- 30
- Database :
- OpenAIRE
- Journal :
- Data in Brief
- Accession number :
- edsair.pmid.dedup....1a2bb46eaa6834f3ef377bf4738a574a
- Full Text :
- https://doi.org/10.1016/j.dib.2020.105466⟩