Characterization and biofouling potential analysis of two cyanobacterial strains isolated from Cape Verde and Morocco.
Maria João Leal RomeuJoão MoraisLuciana C GomesRaquel SilvaVítor VasconcelosFilipe J M MergulhãoPublished in: FEMS microbiology ecology (2023)
Cyanobacteria are new sources of value-added compounds but also ubiquitous and harmful microfoulers on marine biofouling. In this work, the isolation and identification of two cyanobacterial strains isolated from Cape Verde and Morocco, as well as their biofilm-forming ability on glass and Perspex under controlled hydrodynamic conditions, were performed. Phylogenetic analysis revealed that cyanobacterial strains isolated belong to Leptothoe and Jaaginema genera (Leptothoe sp. LEGE 181153 and Jaaginema sp. LEGE 191154). From quantitative and qualitative data of wet weight, chlorophyll a content and biofilm thickness obtained by optical coherence tomography, no significant differences were found in biofilms developed by the same cyanobacterial strain on different surfaces (glass and Perspex). However, the biofilm-forming potential of Leptothoe sp. LEGE 181153 proved to be higher compared with Jaaginema sp. LEGE 191154, particularly at the maturation stage of biofilm development. Three-dimensional biofilm images obtained from confocal laser scanning microscopy showed different patterns between both cyanobacterial strains and also among the two surfaces. Because standard methodologies to evaluate cyanobacterial biofilm formation, as well as two different optical imaging techniques, were used, this work also highlights the possibility of integrating different techniques to evaluate a complex phenomenon like cyanobacterial biofilm development.
Keyphrases
- biofilm formation
- candida albicans
- pseudomonas aeruginosa
- staphylococcus aureus
- escherichia coli
- optical coherence tomography
- high resolution
- cystic fibrosis
- south africa
- high speed
- diabetic retinopathy
- body mass index
- machine learning
- physical activity
- electronic health record
- single cell
- mass spectrometry
- systematic review
- high throughput
- data analysis
- single molecule
- artificial intelligence
- energy transfer
- optic nerve