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Imaging biofilms using fluorescence in situ hybridization: seeing is believing

Title
Imaging biofilms using fluorescence in situ hybridization: seeing is believing
Type
Another Publication in an International Scientific Journal
Year
2023
Authors
Barbosa, A
(Author)
Other
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Miranda, S
(Author)
Other
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Azevedo, NF
(Author)
FEUP
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Cerqueira, L
(Author)
FEUP
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Journal
Vol. 13
ISSN: 2235-2988
Publisher: Frontiers Media
Indexing
Publicação em ISI Web of Knowledge ISI Web of Knowledge - 0 Citations
Publicação em Scopus Scopus - 0 Citations
Other information
Authenticus ID: P-00Y-JDM
Abstract (EN): Biofilms are complex structures with an intricate relationship between the resident microorganisms, the extracellular matrix, and the surrounding environment. Interest in biofilms is growing exponentially given its ubiquity in so diverse fields such as healthcare, environmental and industry. Molecular techniques (e.g., next-generation sequencing, RNA-seq) have been used to study biofilm properties. However, these techniques disrupt the spatial structure of biofilms; therefore, they do not allow to observe the location/position of biofilm components (e.g., cells, genes, metabolites), which is particularly relevant to explore and study the interactions and functions of microorganisms. Fluorescence in situ hybridization (FISH) has been arguably the most widely used method for an in situ analysis of spatial distribution of biofilms. In this review, an overview on different FISH variants already applied on biofilm studies (e.g., CLASI-FISH, BONCAT-FISH, HiPR-FISH, seq-FISH) will be explored. In combination with confocal laser scanning microscopy, these variants emerged as a powerful approach to visualize, quantify and locate microorganisms, genes, and metabolites inside biofilms. Finally, we discuss new possible research directions for the development of robust and accurate FISH-based approaches that will allow to dig deeper into the biofilm structure and function.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 16
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