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A rapid and efficient method for the extraction and identification of menaquinones from Actinomycetes in wet biomass
- Source :
- BMC Microbiology, Vol 21, Iss 1, Pp 1-10 (2021), BMC Microbiology
- Publication Year :
- 2021
- Publisher :
- BMC, 2021.
-
Abstract
- Background Menaquinones are constituents of prokaryote cell membranes where they play important functions during electron transport. Menaquinone profiles are strongly recommended for species classification when proposing a new Actinomycetes taxon. Presently, the most widely used methods to determine menaquinones are based on freeze-dried cells. Taxonomic research in our lab has revealed that menaquinone concentrations are low for some species of the genus Microbacterium, leading to difficulties in identifying menaquinones. Results Menaquinones extracted using the novel lysozyme-chloroform-methanol (LCM) method were comparable in quality to those obtained using the Collins method, the most widely used method. All tested strains extracted via the LCM method showed higher concentrations of menaquinones than those extracted via the Collins method. For some Microbacterium strains, the LCM method exhibited higher sensitivity than the Collins method, and more trace menaquinones were detected with the LCM method than the Collins method. In addition, LCM method is faster than the Collins method because it uses wet cells. Conclusion The LCM method is a simple, rapid and efficient technique for the extraction and identification of menaquinones from Actinomycetes.
- Subjects :
- Microbiology (medical)
Menaquinone identification
Hypertonic Solutions
Microbacterium
Biomass
Chemical Fractionation
Menaquinone extraction
Microbiology
03 medical and health sciences
Menaquinone analysis
Actinomycetes
Species classification
030304 developmental biology
0303 health sciences
Chromatography
Genus Microbacterium
biology
030306 microbiology
Methanol
Research
Extraction (chemistry)
Vitamin K 2
Prokaryote
biology.organism_classification
QR1-502
Actinobacteria
Chloroform
Subjects
Details
- Language :
- English
- ISSN :
- 14712180
- Volume :
- 21
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- BMC Microbiology
- Accession number :
- edsair.doi.dedup.....e1c6dfcaa9a08a3c887245be9dae2066