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Measuring selection coefficients below 10-3: method, questions and prospects

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Measuring selection coefficients below 10-3: method, questions and prospects

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dc.contributor.author Gallet, Romain es_ES
dc.contributor.author Cooper, Tim F. es_ES
dc.contributor.author Elena Fito, Santiago Fco es_ES
dc.contributor.author Lenormand, Thomas es_ES
dc.date.accessioned 2016-09-07T08:26:52Z
dc.date.available 2016-09-07T08:26:52Z
dc.date.issued 2012-01
dc.identifier.issn 0016-6731
dc.identifier.uri http://hdl.handle.net/10251/68955
dc.description.abstract [EN] Measuring fitness with precision is a key issue in evolutionary biology, particularly in studying mutations of small effects. It is usually thought that sampling error and drift prevent precise measurement of very small fitness effects. We circumvented these limits by using a new combined approach to measuring and analyzing fitness. We estimated the mutational fitness effect (MFE) of three independent mini-Tn10 transposon insertion mutations by conducting competition experiments in large populations of Escherichia coli under controlled laboratory conditions. Using flow cytometry to assess genotype frequencies from very large samples alleviated the problem of sampling error, while the effect of drift was controlled by using large populations and massive replication of fitness measures. Furthermore, with a set of four competition experiments between ancestral and mutant genotypes, we were able to decompose fitness measures into four estimated parameters that account for fitness effects of our fluorescent marker (alpha), the mutation (beta), epistasis between the mutation and the marker (gamma), and departure from transitivity (tau). Our method allowed us to estimate mean selection coefficients to a precision of 2 x 10(-4). We also found small, but significant, epistatic interactions between the allelic effects of mutations and markers and confirmed that fitness effects were transitive in most cases. Unexpectedly, we also detected variation in measures of s that were significantly bigger than expected due to drift alone, indicating the existence of cryptic variation, even in fully controlled experiments. Overall our results indicate that selection coefficients are best understood as being distributed, representing a limit on the precision with which selection can be measured, even under controlled laboratory conditions. es_ES
dc.description.sponsorship We thank E. Flaven, M.-P. Dubois for lab management, C. Duperray (IRB - Montpellier), C. Mongellaz (IGM, Montpellier), and the Montpellier RIO Imaging platform for training R.G. to flow cytometry and their help in designing the cytometer protocols, N. Le Meur for her help with the flowCore R package, and L. M. Chevin, P. A. Gros, G. Martin, and F. Rousset for fruitful discussions and insightful comments. We also thank two anonymous reviewers for useful comments. This work was supported by the European Research Council Starting Grant 'Quantevol' to T.L. and a National Science Foundation grant (IOS-1022373) to T.F.C.
dc.language Inglés es_ES
dc.publisher Genetics Society of America es_ES
dc.relation NSF/IOS-1022373 es_ES
dc.relation.ispartof Genetics es_ES
dc.rights Reserva de todos los derechos es_ES
dc.title Measuring selection coefficients below 10-3: method, questions and prospects es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1534/genetics.111.133454
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/206734/EU en_EN
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario Mixto de Biología Molecular y Celular de Plantas - Institut Universitari Mixt de Biologia Molecular i Cel·lular de Plantes es_ES
dc.description.bibliographicCitation Gallet, R.; Cooper, TF.; Elena Fito, SF.; Lenormand, T. (2012). Measuring selection coefficients below 10-3: method, questions and prospects. Genetics. 190(1):175-186. doi:10.1534/genetics.111.133454 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1534/genetics.111.133454 es_ES
dc.description.upvformatpinicio 175 es_ES
dc.description.upvformatpfin 186 es_ES
dc.type.version info:eu repo/semantics/publishedVersion es_ES
dc.description.volume 190 es_ES
dc.description.issue 1 es_ES
dc.relation.senia 232191 es_ES
dc.identifier.pmid 22042578
dc.identifier.pmcid PMC3249376
dc.contributor.funder National Science Foundation, EEUU (NSF)


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