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Novel method for prediction of combinatorial phase-variable gene expression states

Short sequence repeat mediated phase variation results in diverse phenotype presentation in many bacteria including Campylobacter and Neisseria • Inputting of sweep and single colony data into an algorithm for a rapid determination of the combinatorial phase variation states (phasotypes) for repeat-...

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Detalles Bibliográficos
Autores principales: Holmes, Jonathan, Munjoma, Lickson, Bayliss, Christopher D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10561117/
https://www.ncbi.nlm.nih.gov/pubmed/37817978
http://dx.doi.org/10.1016/j.mex.2023.102392
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author Holmes, Jonathan
Munjoma, Lickson
Bayliss, Christopher D.
author_facet Holmes, Jonathan
Munjoma, Lickson
Bayliss, Christopher D.
author_sort Holmes, Jonathan
collection PubMed
description Short sequence repeat mediated phase variation results in diverse phenotype presentation in many bacteria including Campylobacter and Neisseria • Inputting of sweep and single colony data into an algorithm for a rapid determination of the combinatorial phase variation states (phasotypes) for repeat-mediated phase-variable bacterial genes; • This method reduces the number of single colony samples required to produce accurate estimates of phasotypes; • This method will reduce the costs of phasotype analyses and increase potential to analyse more time points or sample sites leading to an improved understanding of how phase variation contributes to bacterial host persistence and the ability to cause disease.
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spelling pubmed-105611172023-10-10 Novel method for prediction of combinatorial phase-variable gene expression states Holmes, Jonathan Munjoma, Lickson Bayliss, Christopher D. MethodsX Biochemistry, Genetics and Molecular Biology Short sequence repeat mediated phase variation results in diverse phenotype presentation in many bacteria including Campylobacter and Neisseria • Inputting of sweep and single colony data into an algorithm for a rapid determination of the combinatorial phase variation states (phasotypes) for repeat-mediated phase-variable bacterial genes; • This method reduces the number of single colony samples required to produce accurate estimates of phasotypes; • This method will reduce the costs of phasotype analyses and increase potential to analyse more time points or sample sites leading to an improved understanding of how phase variation contributes to bacterial host persistence and the ability to cause disease. Elsevier 2023-09-22 /pmc/articles/PMC10561117/ /pubmed/37817978 http://dx.doi.org/10.1016/j.mex.2023.102392 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Biochemistry, Genetics and Molecular Biology
Holmes, Jonathan
Munjoma, Lickson
Bayliss, Christopher D.
Novel method for prediction of combinatorial phase-variable gene expression states
title Novel method for prediction of combinatorial phase-variable gene expression states
title_full Novel method for prediction of combinatorial phase-variable gene expression states
title_fullStr Novel method for prediction of combinatorial phase-variable gene expression states
title_full_unstemmed Novel method for prediction of combinatorial phase-variable gene expression states
title_short Novel method for prediction of combinatorial phase-variable gene expression states
title_sort novel method for prediction of combinatorial phase-variable gene expression states
topic Biochemistry, Genetics and Molecular Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10561117/
https://www.ncbi.nlm.nih.gov/pubmed/37817978
http://dx.doi.org/10.1016/j.mex.2023.102392
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