Stalking Mycobacterium bovis in the total environment: FLOW-FISH & FACS to detect, quantify, and sort metabolically active and quiescent cells in complex matrices

Detalhes bibliográficos
Autor(a) principal: Pereira, André C.
Data de Publicação: 2022
Outros Autores: Tenreiro, Ana, Tenreiro, Rogério, Cunha, Mónica V.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/53862
Resumo: Mycobacterium bovis causes tuberculosis (TB) at the human-wildlife-livestock interface. Environmental persistence of M. bovis excreted by infected hosts may cause indirect transmission to other animals. However, methodological constrains hamper assessment of M. bovis viability and molecular signature in environmental matrices. In this work, an innovative, modular, and highly efficient single-cell workflow combining flow cytometry (FLOW), fluorescence in situ hybridization (FISH), and fluorescence-activated cell sorting (FACS) was developed, allowing detection, quantification, and sorting of viable and dormant M. bovis cells from environmental matrices. Validation with spiked water and sediments showed high efficiency (90%) of cell recovery, with high linearity between expected and observed results, both in cell viability evaluation (r2 =0.93) and FISH-labelled M. bovis cells quantification (r2 ≥0.96). The limit of detection was established at 105 cells/g of soil in the cell viability step and 102 cells/g of soil in the taxonomical labelling stage. Moreover, FACS efficiency attained noteworthy recovery yield (50%) and purity (60% viable cells; 70% taxonomically labelled M. bovis). This new methodology represents a huge step for M. bovis assessment outside the mammal host, offering the rapid quantification of M. bovis cell load and cell viability, including viable but non-culturable cells, and further downstream cell analyses after FACS. Subsequent environmental data integration with the clinical component will expand knowledge on transmission routes, promising new paths in TB research and an intervention tool to mitigate the underlying biohazard.
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spelling Stalking Mycobacterium bovis in the total environment: FLOW-FISH & FACS to detect, quantify, and sort metabolically active and quiescent cells in complex matricesMycobacterium bovis causes tuberculosis (TB) at the human-wildlife-livestock interface. Environmental persistence of M. bovis excreted by infected hosts may cause indirect transmission to other animals. However, methodological constrains hamper assessment of M. bovis viability and molecular signature in environmental matrices. In this work, an innovative, modular, and highly efficient single-cell workflow combining flow cytometry (FLOW), fluorescence in situ hybridization (FISH), and fluorescence-activated cell sorting (FACS) was developed, allowing detection, quantification, and sorting of viable and dormant M. bovis cells from environmental matrices. Validation with spiked water and sediments showed high efficiency (90%) of cell recovery, with high linearity between expected and observed results, both in cell viability evaluation (r2 =0.93) and FISH-labelled M. bovis cells quantification (r2 ≥0.96). The limit of detection was established at 105 cells/g of soil in the cell viability step and 102 cells/g of soil in the taxonomical labelling stage. Moreover, FACS efficiency attained noteworthy recovery yield (50%) and purity (60% viable cells; 70% taxonomically labelled M. bovis). This new methodology represents a huge step for M. bovis assessment outside the mammal host, offering the rapid quantification of M. bovis cell load and cell viability, including viable but non-culturable cells, and further downstream cell analyses after FACS. Subsequent environmental data integration with the clinical component will expand knowledge on transmission routes, promising new paths in TB research and an intervention tool to mitigate the underlying biohazard.ElsevierRepositório da Universidade de LisboaPereira, André C.Tenreiro, AnaTenreiro, RogérioCunha, Mónica V.2022-062024-06-01T00:00:00Z2022-06-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/53862eng10.1016/j.jhazmat.2022.128687info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T17:00:05Zoai:repositorio.ul.pt:10451/53862Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:04:50.494129Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Stalking Mycobacterium bovis in the total environment: FLOW-FISH & FACS to detect, quantify, and sort metabolically active and quiescent cells in complex matrices
title Stalking Mycobacterium bovis in the total environment: FLOW-FISH & FACS to detect, quantify, and sort metabolically active and quiescent cells in complex matrices
spellingShingle Stalking Mycobacterium bovis in the total environment: FLOW-FISH & FACS to detect, quantify, and sort metabolically active and quiescent cells in complex matrices
Pereira, André C.
title_short Stalking Mycobacterium bovis in the total environment: FLOW-FISH & FACS to detect, quantify, and sort metabolically active and quiescent cells in complex matrices
title_full Stalking Mycobacterium bovis in the total environment: FLOW-FISH & FACS to detect, quantify, and sort metabolically active and quiescent cells in complex matrices
title_fullStr Stalking Mycobacterium bovis in the total environment: FLOW-FISH & FACS to detect, quantify, and sort metabolically active and quiescent cells in complex matrices
title_full_unstemmed Stalking Mycobacterium bovis in the total environment: FLOW-FISH & FACS to detect, quantify, and sort metabolically active and quiescent cells in complex matrices
title_sort Stalking Mycobacterium bovis in the total environment: FLOW-FISH & FACS to detect, quantify, and sort metabolically active and quiescent cells in complex matrices
author Pereira, André C.
author_facet Pereira, André C.
Tenreiro, Ana
Tenreiro, Rogério
Cunha, Mónica V.
author_role author
author2 Tenreiro, Ana
Tenreiro, Rogério
Cunha, Mónica V.
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Pereira, André C.
Tenreiro, Ana
Tenreiro, Rogério
Cunha, Mónica V.
description Mycobacterium bovis causes tuberculosis (TB) at the human-wildlife-livestock interface. Environmental persistence of M. bovis excreted by infected hosts may cause indirect transmission to other animals. However, methodological constrains hamper assessment of M. bovis viability and molecular signature in environmental matrices. In this work, an innovative, modular, and highly efficient single-cell workflow combining flow cytometry (FLOW), fluorescence in situ hybridization (FISH), and fluorescence-activated cell sorting (FACS) was developed, allowing detection, quantification, and sorting of viable and dormant M. bovis cells from environmental matrices. Validation with spiked water and sediments showed high efficiency (90%) of cell recovery, with high linearity between expected and observed results, both in cell viability evaluation (r2 =0.93) and FISH-labelled M. bovis cells quantification (r2 ≥0.96). The limit of detection was established at 105 cells/g of soil in the cell viability step and 102 cells/g of soil in the taxonomical labelling stage. Moreover, FACS efficiency attained noteworthy recovery yield (50%) and purity (60% viable cells; 70% taxonomically labelled M. bovis). This new methodology represents a huge step for M. bovis assessment outside the mammal host, offering the rapid quantification of M. bovis cell load and cell viability, including viable but non-culturable cells, and further downstream cell analyses after FACS. Subsequent environmental data integration with the clinical component will expand knowledge on transmission routes, promising new paths in TB research and an intervention tool to mitigate the underlying biohazard.
publishDate 2022
dc.date.none.fl_str_mv 2022-06
2022-06-01T00:00:00Z
2024-06-01T00:00:00Z
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dc.relation.none.fl_str_mv 10.1016/j.jhazmat.2022.128687
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