Insights on the virulence of swine respiratory tract mycoplasmas through genome-scale metabolic modeling

Detalhes bibliográficos
Autor(a) principal: Ferrarini, Mariana Galvão
Data de Publicação: 2016
Outros Autores: Siqueira, Franciele Maboni, Mucha, Scheila Gabriele, Palama, Tony L., Jobard, Élodie, Herrmann, Bénédicte Elena, Vasconcelos, Ana Tereza Ribeiro de, Tardy, Florence, Schrank, Irene Silveira, Zaha, Arnaldo, Sagot, Marie France
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/221531
Resumo: Background: The respiratory tract of swine is colonized by several bacteria among which are three Mycoplasma species: Mycoplasma flocculare, Mycoplasma hyopneumoniae and Mycoplasma hyorhinis. While colonization by M. flocculare is virtually asymptomatic, M. hyopneumoniae is the causative agent of enzootic pneumonia and M. hyorhinis is present in cases of pneumonia, polyserositis and arthritis. The genomic resemblance among these three Mycoplasma species combined with their different levels of pathogenicity is an indication that they have unknown mechanisms of virulence and differential expression, as for most mycoplasmas. Methods: In this work, we performed whole-genome metabolic network reconstructions for these three mycoplasmas. Cultivation tests and metabolomic experiments through nuclear magnetic resonance spectroscopy (NMR) were also performed to acquire experimental data and further refine the models reconstructed in silico. Results: Even though the refined models have similar metabolic capabilities, interesting differences include a wider range of carbohydrate uptake in M. hyorhinis, which in turn may also explain why this species is a widely contaminant in cell cultures. In addition, the myo-inositol catabolism is exclusive to M. hyopneumoniae and may be an important trait for virulence. However, the most important difference seems to be related to glycerol conversion to dihydroxyacetone-phosphate, which produces toxic hydrogen peroxide. This activity, missing only in M. flocculare, may be directly involved in cytotoxicity, as already described for two lung pathogenic mycoplasmas, namely Mycoplasma pneumoniae in human and Mycoplasma mycoides subsp. mycoides in ruminants. Metabolomic data suggest that even though these mycoplasmas are extremely similar in terms of genome and metabolism, distinct products and reaction rates may be the result of differential expression throughout the species. Conclusions: We were able to infer from the reconstructed networks that the lack of pathogenicity of M. flocculare if compared to the highly pathogenic M. hyopneumoniae may be related to its incapacity to produce cytotoxic hydrogen peroxide. Moreover, the ability of M. hyorhinis to grow in diverse sites and even in different hosts may be a reflection of its enhanced and wider carbohydrate uptake. Altogether, the metabolic differences highlighted in silico and in vitro provide important insights to the different levels of pathogenicity observed in each of the studied species.
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spelling Ferrarini, Mariana GalvãoSiqueira, Franciele MaboniMucha, Scheila GabrielePalama, Tony L.Jobard, ÉlodieHerrmann, Bénédicte ElenaVasconcelos, Ana Tereza Ribeiro deTardy, FlorenceSchrank, Irene SilveiraZaha, ArnaldoSagot, Marie France2021-05-26T04:40:51Z2016http://hdl.handle.net/10183/221531001106108Background: The respiratory tract of swine is colonized by several bacteria among which are three Mycoplasma species: Mycoplasma flocculare, Mycoplasma hyopneumoniae and Mycoplasma hyorhinis. While colonization by M. flocculare is virtually asymptomatic, M. hyopneumoniae is the causative agent of enzootic pneumonia and M. hyorhinis is present in cases of pneumonia, polyserositis and arthritis. The genomic resemblance among these three Mycoplasma species combined with their different levels of pathogenicity is an indication that they have unknown mechanisms of virulence and differential expression, as for most mycoplasmas. Methods: In this work, we performed whole-genome metabolic network reconstructions for these three mycoplasmas. Cultivation tests and metabolomic experiments through nuclear magnetic resonance spectroscopy (NMR) were also performed to acquire experimental data and further refine the models reconstructed in silico. Results: Even though the refined models have similar metabolic capabilities, interesting differences include a wider range of carbohydrate uptake in M. hyorhinis, which in turn may also explain why this species is a widely contaminant in cell cultures. In addition, the myo-inositol catabolism is exclusive to M. hyopneumoniae and may be an important trait for virulence. However, the most important difference seems to be related to glycerol conversion to dihydroxyacetone-phosphate, which produces toxic hydrogen peroxide. This activity, missing only in M. flocculare, may be directly involved in cytotoxicity, as already described for two lung pathogenic mycoplasmas, namely Mycoplasma pneumoniae in human and Mycoplasma mycoides subsp. mycoides in ruminants. Metabolomic data suggest that even though these mycoplasmas are extremely similar in terms of genome and metabolism, distinct products and reaction rates may be the result of differential expression throughout the species. Conclusions: We were able to infer from the reconstructed networks that the lack of pathogenicity of M. flocculare if compared to the highly pathogenic M. hyopneumoniae may be related to its incapacity to produce cytotoxic hydrogen peroxide. Moreover, the ability of M. hyorhinis to grow in diverse sites and even in different hosts may be a reflection of its enhanced and wider carbohydrate uptake. Altogether, the metabolic differences highlighted in silico and in vitro provide important insights to the different levels of pathogenicity observed in each of the studied species.application/pdfengBMC Genomics. London. Vol. 17,(2016), e353, 20 p.MicoplasmaTrato respiratórioSuínosPeróxido de hidrogênioMetabolismoMycoplasmaMollicutesMetabolic networkMetabolismWhole-genome metabolic reconstructionHydrogen peroxideInsights on the virulence of swine respiratory tract mycoplasmas through genome-scale metabolic modelingEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001106108.pdf.txt001106108.pdf.txtExtracted Texttext/plain99363http://www.lume.ufrgs.br/bitstream/10183/221531/2/001106108.pdf.txtb573165197a647766661ee62b187c33dMD52ORIGINAL001106108.pdfTexto completo (inglês)application/pdf3487536http://www.lume.ufrgs.br/bitstream/10183/221531/1/001106108.pdf0031e26943726b3a5c0c66e1c937edddMD5110183/2215312023-07-06 03:53:37.767289oai:www.lume.ufrgs.br:10183/221531Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2023-07-06T06:53:37Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv Insights on the virulence of swine respiratory tract mycoplasmas through genome-scale metabolic modeling
title Insights on the virulence of swine respiratory tract mycoplasmas through genome-scale metabolic modeling
spellingShingle Insights on the virulence of swine respiratory tract mycoplasmas through genome-scale metabolic modeling
Ferrarini, Mariana Galvão
Micoplasma
Trato respiratório
Suínos
Peróxido de hidrogênio
Metabolismo
Mycoplasma
Mollicutes
Metabolic network
Metabolism
Whole-genome metabolic reconstruction
Hydrogen peroxide
title_short Insights on the virulence of swine respiratory tract mycoplasmas through genome-scale metabolic modeling
title_full Insights on the virulence of swine respiratory tract mycoplasmas through genome-scale metabolic modeling
title_fullStr Insights on the virulence of swine respiratory tract mycoplasmas through genome-scale metabolic modeling
title_full_unstemmed Insights on the virulence of swine respiratory tract mycoplasmas through genome-scale metabolic modeling
title_sort Insights on the virulence of swine respiratory tract mycoplasmas through genome-scale metabolic modeling
author Ferrarini, Mariana Galvão
author_facet Ferrarini, Mariana Galvão
Siqueira, Franciele Maboni
Mucha, Scheila Gabriele
Palama, Tony L.
Jobard, Élodie
Herrmann, Bénédicte Elena
Vasconcelos, Ana Tereza Ribeiro de
Tardy, Florence
Schrank, Irene Silveira
Zaha, Arnaldo
Sagot, Marie France
author_role author
author2 Siqueira, Franciele Maboni
Mucha, Scheila Gabriele
Palama, Tony L.
Jobard, Élodie
Herrmann, Bénédicte Elena
Vasconcelos, Ana Tereza Ribeiro de
Tardy, Florence
Schrank, Irene Silveira
Zaha, Arnaldo
Sagot, Marie France
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Ferrarini, Mariana Galvão
Siqueira, Franciele Maboni
Mucha, Scheila Gabriele
Palama, Tony L.
Jobard, Élodie
Herrmann, Bénédicte Elena
Vasconcelos, Ana Tereza Ribeiro de
Tardy, Florence
Schrank, Irene Silveira
Zaha, Arnaldo
Sagot, Marie France
dc.subject.por.fl_str_mv Micoplasma
Trato respiratório
Suínos
Peróxido de hidrogênio
Metabolismo
topic Micoplasma
Trato respiratório
Suínos
Peróxido de hidrogênio
Metabolismo
Mycoplasma
Mollicutes
Metabolic network
Metabolism
Whole-genome metabolic reconstruction
Hydrogen peroxide
dc.subject.eng.fl_str_mv Mycoplasma
Mollicutes
Metabolic network
Metabolism
Whole-genome metabolic reconstruction
Hydrogen peroxide
description Background: The respiratory tract of swine is colonized by several bacteria among which are three Mycoplasma species: Mycoplasma flocculare, Mycoplasma hyopneumoniae and Mycoplasma hyorhinis. While colonization by M. flocculare is virtually asymptomatic, M. hyopneumoniae is the causative agent of enzootic pneumonia and M. hyorhinis is present in cases of pneumonia, polyserositis and arthritis. The genomic resemblance among these three Mycoplasma species combined with their different levels of pathogenicity is an indication that they have unknown mechanisms of virulence and differential expression, as for most mycoplasmas. Methods: In this work, we performed whole-genome metabolic network reconstructions for these three mycoplasmas. Cultivation tests and metabolomic experiments through nuclear magnetic resonance spectroscopy (NMR) were also performed to acquire experimental data and further refine the models reconstructed in silico. Results: Even though the refined models have similar metabolic capabilities, interesting differences include a wider range of carbohydrate uptake in M. hyorhinis, which in turn may also explain why this species is a widely contaminant in cell cultures. In addition, the myo-inositol catabolism is exclusive to M. hyopneumoniae and may be an important trait for virulence. However, the most important difference seems to be related to glycerol conversion to dihydroxyacetone-phosphate, which produces toxic hydrogen peroxide. This activity, missing only in M. flocculare, may be directly involved in cytotoxicity, as already described for two lung pathogenic mycoplasmas, namely Mycoplasma pneumoniae in human and Mycoplasma mycoides subsp. mycoides in ruminants. Metabolomic data suggest that even though these mycoplasmas are extremely similar in terms of genome and metabolism, distinct products and reaction rates may be the result of differential expression throughout the species. Conclusions: We were able to infer from the reconstructed networks that the lack of pathogenicity of M. flocculare if compared to the highly pathogenic M. hyopneumoniae may be related to its incapacity to produce cytotoxic hydrogen peroxide. Moreover, the ability of M. hyorhinis to grow in diverse sites and even in different hosts may be a reflection of its enhanced and wider carbohydrate uptake. Altogether, the metabolic differences highlighted in silico and in vitro provide important insights to the different levels of pathogenicity observed in each of the studied species.
publishDate 2016
dc.date.issued.fl_str_mv 2016
dc.date.accessioned.fl_str_mv 2021-05-26T04:40:51Z
dc.type.driver.fl_str_mv Estrangeiro
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10183/221531
dc.identifier.nrb.pt_BR.fl_str_mv 001106108
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dc.language.iso.fl_str_mv eng
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dc.relation.ispartof.pt_BR.fl_str_mv BMC Genomics. London. Vol. 17,(2016), e353, 20 p.
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