Please use this identifier to cite or link to this item:

Full metadata record
DC FieldValueLanguage
dc.contributor.authorAzevedo, Andreia Sofia Mateuspor
dc.contributor.authorFernandes, Ricardo Manuelpor
dc.contributor.authorFaria, Ana Ritapor
dc.contributor.authorSilvestre, Óscar Ferreirapor
dc.contributor.authorNieder, Jana Beritpor
dc.contributor.authorWengel, Jesperpor
dc.contributor.authorAzevedo, Nuno Filipepor
dc.contributor.authorAlmeida, Carina Manuela Fernandespor
dc.identifier.citationAzevedo, Andreia S.; Fernandes, R.; Faria, Ana Rita; Silvestre, Óscar F.; Nieder, Jana B.; Wengel, Jesper; Azevedo, Nuno F.; Almeida, Carina, Application of nucleic acid mimics and spectral imaging to fluorescence in situ hybridization for the characterization of microbial communities. BioRemid2019 - 2nd International Meeting on New Strategies in Bioremediation Processes. No. PC 44, Porto, Portugal, Oct 24-25, 89, 2019.por
dc.description.abstractThe application of nucleic acid mimics (NAMs) has improved the performance of FISH methods for the localization, detection and enumeration of microorganisms. However, an important limitation of FISH techniques is the low number of distinguishable targets. Recent advances in combinatorial labelling and fluorescence spectral imaging (CLASI-FISH) have allowed the simultaneous identification of several microorganisms in a single sample. In this work, we aimed to combine NAM-FISH and spectral imaging to develop/validate a new color-coded FISH methodology that allows a multiplexed and robust detection of microorganisms in complex communities. In a first stage, to implement/validate the method, we have selected 8 fluorophores with distinct spectral properties and 7 bacterial species. As a strong variation on the fluorescence intensities is found between species and between fluorophores, 8 versions of EUB LNA/2OMe probe, each conjugated to one of 8 fluorophores were used to rank species/fluorophores by FISH. Then, mixed populations were used to evaluate the potential of the method for separating/quantifying the different species. Samples were analyzed by confocal laser scanning microscopy coupled with a spectral imaging detector and a linear unmixing algorithm was applied to identify the fluorophores present in each pixel of the images. Validation tests with different proportions of bacteria labelled with the respective fluorophore have shown the ability of the method to correctly distinguish the species. The method shows as a powerful tool for the characterization of environmental microbial consortia that might assist on the monitoring of bioremediation processes.por
dc.description.sponsorshipPorjects UID/EQU/00511/2019 - Laboratory for Process Engineering, Environment, Biotechnology and Energy funded by national funds through FCT/MCTES (PIDDAC); POCI-01-0145-FEDER-006684 (Center of Biological Engineering - UID/BIO/04469) funded by ERDF through COMPETE2020 – POCI, and by national funds through FCT/MCTES; NORTE-01-0145-FEDER-000004 - BioTecNorte operation, funded by the ERDF under the scope of Norte2020 - Programa Operacional Regional do Norte; “LEPABE-2-ECO-INNOVATION” – NORTE‐01‐0145‐FEDER‐000005, funded by NORTE 2020, under PORTUGAL 2020 Partnership Agreement, through the ERDF; PTDC/DTP-PIC/4562/2014 (Coded-FISH) and POCI-01-0145-FEDER-030431 (CLASInVivo)por
dc.subjectMicrobial communitiespor
dc.subjectFluorescence in situ hybridizationpor
dc.subjectSpectral imagingpor
dc.subjectNucleic acid mimicspor
dc.titleApplication of nucleic acid mimics and spectral imaging to fluorescence in situ hybridization for the characterization of microbial communitiespor
oaire.citationConferenceDate24 - 25 Oct. 2019por
oaire.citationConferencePlacePorto, Portugalpor
sdum.conferencePublicationBioRemid2019 - 2nd International Meeting on New Strategies in Bioremediation Processespor
Appears in Collections:CEB - Resumos em Livros de Atas / Abstracts in Proceedings

Files in This Item:
File Description SizeFormat 
document_52164_1.pdf999,1 kBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID