Phenotype and multi-omics comparison of Staphylococcus and Streptococcus uncovers pathogenic traits and predicts zoonotic potential

Abstract Background Staphylococcus and Streptococcus species can cause many different diseases, ranging from mild skin infections to life-threatening necrotizing fasciitis. Both genera consist of commensal species that colonize the skin and nose of humans and animals, and of which some can display a...

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Main Authors: Niels A. Zondervan, Vitor A. P. Martins dos Santos, Maria Suarez-Diez, Edoardo Saccenti
Format: Article
Language:English
Published: BMC 2021-02-01
Series:BMC Genomics
Subjects:
Online Access:https://doi.org/10.1186/s12864-021-07388-6
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author Niels A. Zondervan
Vitor A. P. Martins dos Santos
Maria Suarez-Diez
Edoardo Saccenti
author_facet Niels A. Zondervan
Vitor A. P. Martins dos Santos
Maria Suarez-Diez
Edoardo Saccenti
author_sort Niels A. Zondervan
collection DOAJ
description Abstract Background Staphylococcus and Streptococcus species can cause many different diseases, ranging from mild skin infections to life-threatening necrotizing fasciitis. Both genera consist of commensal species that colonize the skin and nose of humans and animals, and of which some can display a pathogenic phenotype. Results We compared 235 Staphylococcus and 315 Streptococcus genomes based on their protein domain content. We show the relationships between protein persistence and essentiality by integrating essentiality predictions from two metabolic models and essentiality measurements from six large-scale transposon mutagenesis experiments. We identified clusters of strains within species based on proteins associated to similar biological processes. We built Random Forest classifiers that predicted the zoonotic potential. Furthermore, we identified shared attributes between of Staphylococcus aureus and Streptococcus pyogenes that allow them to cause necrotizing fasciitis. Conclusions Differences observed in clustering of strains based on functional groups of proteins correlate with phenotypes such as host tropism, capability to infect multiple hosts and drug resistance. Our method provides a solid basis towards large-scale prediction of phenotypes based on genomic information.
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spelling doaj.art-16a53fd8860e4c81a75264d4200170652022-12-21T21:56:10ZengBMCBMC Genomics1471-21642021-02-0122112110.1186/s12864-021-07388-6Phenotype and multi-omics comparison of Staphylococcus and Streptococcus uncovers pathogenic traits and predicts zoonotic potentialNiels A. Zondervan0Vitor A. P. Martins dos Santos1Maria Suarez-Diez2Edoardo Saccenti3Laboratory of Systems and Synthetic Biology, Wageningen University & ResearchLaboratory of Systems and Synthetic Biology, Wageningen University & ResearchLaboratory of Systems and Synthetic Biology, Wageningen University & ResearchLaboratory of Systems and Synthetic Biology, Wageningen University & ResearchAbstract Background Staphylococcus and Streptococcus species can cause many different diseases, ranging from mild skin infections to life-threatening necrotizing fasciitis. Both genera consist of commensal species that colonize the skin and nose of humans and animals, and of which some can display a pathogenic phenotype. Results We compared 235 Staphylococcus and 315 Streptococcus genomes based on their protein domain content. We show the relationships between protein persistence and essentiality by integrating essentiality predictions from two metabolic models and essentiality measurements from six large-scale transposon mutagenesis experiments. We identified clusters of strains within species based on proteins associated to similar biological processes. We built Random Forest classifiers that predicted the zoonotic potential. Furthermore, we identified shared attributes between of Staphylococcus aureus and Streptococcus pyogenes that allow them to cause necrotizing fasciitis. Conclusions Differences observed in clustering of strains based on functional groups of proteins correlate with phenotypes such as host tropism, capability to infect multiple hosts and drug resistance. Our method provides a solid basis towards large-scale prediction of phenotypes based on genomic information.https://doi.org/10.1186/s12864-021-07388-6StaphylococcusStreptococcusMulti-omicsComparisonPathogenicTraits
spellingShingle Niels A. Zondervan
Vitor A. P. Martins dos Santos
Maria Suarez-Diez
Edoardo Saccenti
Phenotype and multi-omics comparison of Staphylococcus and Streptococcus uncovers pathogenic traits and predicts zoonotic potential
BMC Genomics
Staphylococcus
Streptococcus
Multi-omics
Comparison
Pathogenic
Traits
title Phenotype and multi-omics comparison of Staphylococcus and Streptococcus uncovers pathogenic traits and predicts zoonotic potential
title_full Phenotype and multi-omics comparison of Staphylococcus and Streptococcus uncovers pathogenic traits and predicts zoonotic potential
title_fullStr Phenotype and multi-omics comparison of Staphylococcus and Streptococcus uncovers pathogenic traits and predicts zoonotic potential
title_full_unstemmed Phenotype and multi-omics comparison of Staphylococcus and Streptococcus uncovers pathogenic traits and predicts zoonotic potential
title_short Phenotype and multi-omics comparison of Staphylococcus and Streptococcus uncovers pathogenic traits and predicts zoonotic potential
title_sort phenotype and multi omics comparison of staphylococcus and streptococcus uncovers pathogenic traits and predicts zoonotic potential
topic Staphylococcus
Streptococcus
Multi-omics
Comparison
Pathogenic
Traits
url https://doi.org/10.1186/s12864-021-07388-6
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AT mariasuarezdiez phenotypeandmultiomicscomparisonofstaphylococcusandstreptococcusuncoverspathogenictraitsandpredictszoonoticpotential
AT edoardosaccenti phenotypeandmultiomicscomparisonofstaphylococcusandstreptococcusuncoverspathogenictraitsandpredictszoonoticpotential