Time clustered sampling can inflate the inferred substitution rate in foot-and-mouth disease virus analyses

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Time clustered sampling can inflate the inferred substitution rate in foot-and-mouth disease virus analyses. / Pedersen, Casper-Emil Tingskov; Frandsen, Peter; Wekesa, Sabenzia N.; Heller, Rasmus; Sangula, Abraham K.; Wadsworth, Jemma; Knowles, Nick J.; Muwanika, Vincent B.; Siegismund, Hans Redlef.

In: PLOS ONE, Vol. 10, No. 12, e0143605, 2015.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Pedersen, C-ET, Frandsen, P, Wekesa, SN, Heller, R, Sangula, AK, Wadsworth, J, Knowles, NJ, Muwanika, VB & Siegismund, HR 2015, 'Time clustered sampling can inflate the inferred substitution rate in foot-and-mouth disease virus analyses', PLOS ONE, vol. 10, no. 12, e0143605. https://doi.org/10.1371/journal.pone.0143605

APA

Pedersen, C-E. T., Frandsen, P., Wekesa, S. N., Heller, R., Sangula, A. K., Wadsworth, J., Knowles, N. J., Muwanika, V. B., & Siegismund, H. R. (2015). Time clustered sampling can inflate the inferred substitution rate in foot-and-mouth disease virus analyses. PLOS ONE, 10(12), [e0143605]. https://doi.org/10.1371/journal.pone.0143605

Vancouver

Pedersen C-ET, Frandsen P, Wekesa SN, Heller R, Sangula AK, Wadsworth J et al. Time clustered sampling can inflate the inferred substitution rate in foot-and-mouth disease virus analyses. PLOS ONE. 2015;10(12). e0143605. https://doi.org/10.1371/journal.pone.0143605

Author

Pedersen, Casper-Emil Tingskov ; Frandsen, Peter ; Wekesa, Sabenzia N. ; Heller, Rasmus ; Sangula, Abraham K. ; Wadsworth, Jemma ; Knowles, Nick J. ; Muwanika, Vincent B. ; Siegismund, Hans Redlef. / Time clustered sampling can inflate the inferred substitution rate in foot-and-mouth disease virus analyses. In: PLOS ONE. 2015 ; Vol. 10, No. 12.

Bibtex

@article{9357142653b74799b4982d71e56a4336,
title = "Time clustered sampling can inflate the inferred substitution rate in foot-and-mouth disease virus analyses",
abstract = "With the emergence of analytical software for the inference of viral evolution, a number of studies have focused on estimating important parameters such as the substitution rate and the time to the most recent common ancestor (tMRCA) for rapidly evolving viruses. Coupled with an increasing abundance of sequence data sampled under widely different schemes, an effort to keep results consistent and comparable is needed. This study emphasizes commonly disregarded problems in the inference of evolutionary rates in viral sequence data when sampling is unevenly distributed on a temporal scale through a study of the foot-and-mouth (FMD) disease virus serotypes SAT 1 and SAT 2. Our study shows that clustered temporal sampling in phylogenetic analyses of FMD viruses will strongly bias the inferences of substitution rates and tMRCA because the inferred rates in such data sets reflect a rate closer to the mutation rate rather than the substitution rate. Estimating evolutionary parameters from viral sequences should be performed with due consideration of the differences in short-term and longer-term evolutionary processes occurring within sets of temporally sampled viruses, and studies should carefully consider how samples are combined.",
author = "Pedersen, {Casper-Emil Tingskov} and Peter Frandsen and Wekesa, {Sabenzia N.} and Rasmus Heller and Sangula, {Abraham K.} and Jemma Wadsworth and Knowles, {Nick J.} and Muwanika, {Vincent B.} and Siegismund, {Hans Redlef}",
year = "2015",
doi = "10.1371/journal.pone.0143605",
language = "English",
volume = "10",
journal = "PLoS ONE",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "12",

}

RIS

TY - JOUR

T1 - Time clustered sampling can inflate the inferred substitution rate in foot-and-mouth disease virus analyses

AU - Pedersen, Casper-Emil Tingskov

AU - Frandsen, Peter

AU - Wekesa, Sabenzia N.

AU - Heller, Rasmus

AU - Sangula, Abraham K.

AU - Wadsworth, Jemma

AU - Knowles, Nick J.

AU - Muwanika, Vincent B.

AU - Siegismund, Hans Redlef

PY - 2015

Y1 - 2015

N2 - With the emergence of analytical software for the inference of viral evolution, a number of studies have focused on estimating important parameters such as the substitution rate and the time to the most recent common ancestor (tMRCA) for rapidly evolving viruses. Coupled with an increasing abundance of sequence data sampled under widely different schemes, an effort to keep results consistent and comparable is needed. This study emphasizes commonly disregarded problems in the inference of evolutionary rates in viral sequence data when sampling is unevenly distributed on a temporal scale through a study of the foot-and-mouth (FMD) disease virus serotypes SAT 1 and SAT 2. Our study shows that clustered temporal sampling in phylogenetic analyses of FMD viruses will strongly bias the inferences of substitution rates and tMRCA because the inferred rates in such data sets reflect a rate closer to the mutation rate rather than the substitution rate. Estimating evolutionary parameters from viral sequences should be performed with due consideration of the differences in short-term and longer-term evolutionary processes occurring within sets of temporally sampled viruses, and studies should carefully consider how samples are combined.

AB - With the emergence of analytical software for the inference of viral evolution, a number of studies have focused on estimating important parameters such as the substitution rate and the time to the most recent common ancestor (tMRCA) for rapidly evolving viruses. Coupled with an increasing abundance of sequence data sampled under widely different schemes, an effort to keep results consistent and comparable is needed. This study emphasizes commonly disregarded problems in the inference of evolutionary rates in viral sequence data when sampling is unevenly distributed on a temporal scale through a study of the foot-and-mouth (FMD) disease virus serotypes SAT 1 and SAT 2. Our study shows that clustered temporal sampling in phylogenetic analyses of FMD viruses will strongly bias the inferences of substitution rates and tMRCA because the inferred rates in such data sets reflect a rate closer to the mutation rate rather than the substitution rate. Estimating evolutionary parameters from viral sequences should be performed with due consideration of the differences in short-term and longer-term evolutionary processes occurring within sets of temporally sampled viruses, and studies should carefully consider how samples are combined.

U2 - 10.1371/journal.pone.0143605

DO - 10.1371/journal.pone.0143605

M3 - Journal article

C2 - 26630483

VL - 10

JO - PLoS ONE

JF - PLoS ONE

SN - 1932-6203

IS - 12

M1 - e0143605

ER -

ID: 150699042