Genotypic and Phenotypic Detection of Polyhydroxyalkanoate Production in Bacterial Isolates from Food.
Daniela MáčalováMagda JanalikovaJana SedlarikovaIveta RektoříkováMarek KoutnýPavel PlevaPublished in: International journal of molecular sciences (2023)
Polyhydroxyalkanoates (PHAs) are widely used in medical and potentially in other applications due to their biocompatibility and biodegradability. Understanding PHA biosynthetic pathways may lead to the detection of appropriate conditions (substrates) for producing a particular PHA type by a specific microbial strain. The aim of this study was to establish a method enabling potentially interesting PHA bacterial producers to be found. In the study, all four classes of PHA synthases and other genes involved in PHA formation ( fabG , phaA , phaB , phaG , and phaJ ) were detected by PCR in 64 bacterial collection strains and food isolates. Acinetobacter , Bacillus , Cupriavidus , Escherichia , Klebsiella , Lelliottia , Lysinibacillus , Mammaliicoccus , Oceanobacillus , Pantoea , Peribacillus , Priestia , Pseudomonas , Rahnella , Staphylococcus , and Stenotrophomonas genera were found among these strains. Fructose, glucose, sunflower oil, and propionic acid were utilized as carbon sources and PHA production was detected by Sudan black staining, Nile blue staining, and FTIR methods. The class I synthase and phaA genes were the most frequently found, indicating the strains' ability to synthesize PHA from carbohydrates. Among the tested bacterial strains, the Pseudomonas genus was identified as able to utilize all tested carbon sources. The Pseudomonas extremorientalis strain was determined as a prospect for biotechnology applications.
Keyphrases
- escherichia coli
- biofilm formation
- drinking water
- real time pcr
- staphylococcus aureus
- type diabetes
- microbial community
- blood pressure
- genome wide
- pseudomonas aeruginosa
- climate change
- label free
- transcription factor
- plant growth
- cystic fibrosis
- risk assessment
- candida albicans
- skeletal muscle
- blood glucose
- genetic diversity
- sensitive detection
- quantum dots
- acinetobacter baumannii
- bacillus subtilis
- glycemic control