Fitness estimates from experimental infections predict the long-term strain structure of a vector-borne pathogen in the field

Abstract The populations of many pathogen species consist of a collection of common and rare strains but the factors underlying this strain-specific variation in frequency are often unknown. Understanding frequency variation among strains is particularly challenging for vector-borne pathogens where...

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Autores principales:	Jonas Durand, Maxime Jacquet, Olivier Rais, Lise Gern, Maarten J. Voordouw
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/fbf8ee9cea584430b6a77f66fde57bb8
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spelling	oai:doaj.org-article:fbf8ee9cea584430b6a77f66fde57bb82021-12-02T16:08:08ZFitness estimates from experimental infections predict the long-term strain structure of a vector-borne pathogen in the field10.1038/s41598-017-01821-12045-2322https://doaj.org/article/fbf8ee9cea584430b6a77f66fde57bb82017-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-01821-1https://doaj.org/toc/2045-2322Abstract The populations of many pathogen species consist of a collection of common and rare strains but the factors underlying this strain-specific variation in frequency are often unknown. Understanding frequency variation among strains is particularly challenging for vector-borne pathogens where the strain-specific fitness depends on the performance in both the vertebrate host and the arthropod vector. Two sympatric multiple-strain tick-borne pathogens, Borrelia afzelii and B. garinii, that use the same tick vector, Ixodes ricinus, but different vertebrate hosts were studied. 454-sequencing of the polymorphic ospC gene was used to characterize the community of Borrelia strains in a local population of I. ricinus ticks over a period of 11 years. Estimates of the reproduction number (R0), a measure of fitness, were obtained for six strains of B. afzelii from a previous laboratory study. There was substantial variation in prevalence among strains and some strains were consistently common whereas other strains were consistently rare. In B. afzelii, the strain-specific estimates of R0 in laboratory mice explained over 70% of the variation in the prevalences of the strains in our local population of ticks. Our study shows that laboratory estimates of fitness can predict the community structure of multiple-strain pathogens in the field.Jonas DurandMaxime JacquetOlivier RaisLise GernMaarten J. VoordouwNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jonas Durand Maxime Jacquet Olivier Rais Lise Gern Maarten J. Voordouw Fitness estimates from experimental infections predict the long-term strain structure of a vector-borne pathogen in the field
description	Abstract The populations of many pathogen species consist of a collection of common and rare strains but the factors underlying this strain-specific variation in frequency are often unknown. Understanding frequency variation among strains is particularly challenging for vector-borne pathogens where the strain-specific fitness depends on the performance in both the vertebrate host and the arthropod vector. Two sympatric multiple-strain tick-borne pathogens, Borrelia afzelii and B. garinii, that use the same tick vector, Ixodes ricinus, but different vertebrate hosts were studied. 454-sequencing of the polymorphic ospC gene was used to characterize the community of Borrelia strains in a local population of I. ricinus ticks over a period of 11 years. Estimates of the reproduction number (R0), a measure of fitness, were obtained for six strains of B. afzelii from a previous laboratory study. There was substantial variation in prevalence among strains and some strains were consistently common whereas other strains were consistently rare. In B. afzelii, the strain-specific estimates of R0 in laboratory mice explained over 70% of the variation in the prevalences of the strains in our local population of ticks. Our study shows that laboratory estimates of fitness can predict the community structure of multiple-strain pathogens in the field.
format	article
author	Jonas Durand Maxime Jacquet Olivier Rais Lise Gern Maarten J. Voordouw
author_facet	Jonas Durand Maxime Jacquet Olivier Rais Lise Gern Maarten J. Voordouw
author_sort	Jonas Durand
title	Fitness estimates from experimental infections predict the long-term strain structure of a vector-borne pathogen in the field
title_short	Fitness estimates from experimental infections predict the long-term strain structure of a vector-borne pathogen in the field
title_full	Fitness estimates from experimental infections predict the long-term strain structure of a vector-borne pathogen in the field
title_fullStr	Fitness estimates from experimental infections predict the long-term strain structure of a vector-borne pathogen in the field
title_full_unstemmed	Fitness estimates from experimental infections predict the long-term strain structure of a vector-borne pathogen in the field
title_sort	fitness estimates from experimental infections predict the long-term strain structure of a vector-borne pathogen in the field
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/fbf8ee9cea584430b6a77f66fde57bb8
work_keys_str_mv	AT jonasdurand fitnessestimatesfromexperimentalinfectionspredictthelongtermstrainstructureofavectorbornepathogeninthefield AT maximejacquet fitnessestimatesfromexperimentalinfectionspredictthelongtermstrainstructureofavectorbornepathogeninthefield AT olivierrais fitnessestimatesfromexperimentalinfectionspredictthelongtermstrainstructureofavectorbornepathogeninthefield AT lisegern fitnessestimatesfromexperimentalinfectionspredictthelongtermstrainstructureofavectorbornepathogeninthefield AT maartenjvoordouw fitnessestimatesfromexperimentalinfectionspredictthelongtermstrainstructureofavectorbornepathogeninthefield
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Fitness estimates from experimental infections predict the long-term strain structure of a vector-borne pathogen in the field

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