Dudas G, Carvalho LM, Trevor Bedford, Andrew J Tatem, Guy Baele, Nuno Faria, Daniel Park, Jason Ladner, Armando Arias, Danny Asogun, Filip Bielejec, Sarah Caddy, Matt Cotten, Jonathan Dambrozio, Simon Dellicour, Antonino Di Caro, Joseph Diclaro, Sophie Duraffour, Mike Elmore, Lawrence Fakoli, Merle Gilbert, Sahr M Gevao, Stephen Gire, Adrianne Gladden-Young, Andreas Gnirke, Augustine Goba, Donald Grant, Bart Haagmans, Julian Hiscox, Umaru Jah, Brima Kargbo, Jeffrey Kugelman, Di Liu, Jia Lu, Christine Malboeuf, Suzanne Mate, David Matthews, Christian Matranga, Luke Meredith, James Qu, Joshua Quick, Susan Pas, My Phan, Georgios Poliakis, Chantal Reusken, Mariano Sanchez-Lockhart, Stephen Schaffner, John Schieffelin, Rachel Sealfon, Etienne Simon-Loriere, Saskia Smits, Kilian Stoecker, Lucy Thorne, Ekaete Alice Tobin, Mohamed Vandi, Simon Watson, Kendra West, Shannon Whitmer, Michael Wiley, Sarah Winnicki, Shirlee Wohl, Roman Wölfel, Nathan Yozwiak, Kristian Andersen, Sylvia Blyden, Fatorma Bolay, Bernice Dahn, Miles Carroll, Boubacar Diallo, Pierre Formenty, Christophe Fraser, George Gao, Robert Garry, Ian Goodfellow, Stephan Günther, Christian Happi, Edward Holmes, Brima Kargbo, Paul Kellam, Marion Koopmans, Nicholas Loman, N'Faly Magassouba, Dhamari Naidoo, Stuart Nichol, Tolbert Nyenswah, Gustavo Palacios, Oliver Pybus, Pardis Sabeti, Amadou Sall, Keïta Sakoba, Ute Ströeher, Isatta Wurie, Marc Suchard, Philippe Lemey & Rambaut A (2016) bio Rxiv 071779 Mena I, Nelson MI, Quezada-Monroy F, Dutta J, Cortes-Fernández R, Lara-Puente JH, Castro-Peralta F, Cunha LF, Trovão NS, Lozano-Dubernard B, Rambaut A, van Bakel H & García-Sastre A (2016) e Life 5, e16777.
(2002), which can be of interest when there are no fossil datings or if the clock hypothesis is of interest (a clock test is performed at each node).
The program also performs analyses with the MPL (mean-path-length) method, as described in Britton, T., B.
In phylogenetics, the unrooted model of phylogeny and the strict molecular clock model are two extremes of a continuum.
Despite their dominance in phylogenetic inference, it is evident that both are biologically unrealistic and that the real evolutionary process lies between these two extremes.
This speed and accuracy will enable molecular dating analysis of very large datasets.
Relative time estimates will be useful for determining the relative ordering and spacing of speciation events, identifying lineages with significantly slower or faster evolutionary rates, diagnosing the effect of selected calibrations on absolute divergence times, and estimating absolute times of divergence when highly reliable calibration points are available. With the availability of fast and cheap genome sequencing, molecular dating is being applied to increasingly larger datasets that span a much greater diversity of species and harbor extensive heterogeneity of evolutionary rates among lineages.
Dudas G, Carvalho LM, Bedford T, Tatem AJ, Baele G, Faria NR, Park DJ, Ladner JT, Arias A, Asogun D, Bielejec F, Caddy SL, Cotten M, D?
Ambrozio J, Dellicour S, Caro AD, Diclaro JW, Duraffour S, Elmore MJ, Fakoli LS, Faye O, Gilbert ML, Gevao SM, Gire S, Gladden-Young A, Gnirke A, Goba A, Grant DS, Haagmans BL, Hiscox JA, Jah U, Kugelman JR, Liu D, Lu J, Malboeuf CM, Mate S, Matthews DA, Matranga CB, Meredith LW, Qu J, Quick J, Pas SD, Phan, MVT, Pollakis G, Reusken CB, Sanchez-Lockhart M, Schaffner SF, Schieffelin JS, Sealfon RS, Simon-Loriere E, Smits SL, Stoecker K, Thorne L, Tobin EA, Vandi MA, Watson SJ, West K, Whitmer S, Wiley MR, Winnicki SM, Wohl S, Wölfel R, Yozwiak NL, Andersen KG, Blyden SO, Bolay F, Carroll MW, Dahn B, Diallo B, Formenty P, Fraser C, Gao GF, Garry RF, Goodfellow I, Günther S, Happi CT, Holmes EC, Kargbo B, Keïta S, Kellam P, Koopmans MPG, Kuhn JH, Loman NJ, Magassouba N, Naidoo D, Nichol ST, Nyenswah T, Palacios G, Pybus OG, Sabeti PC, Sall A, Ströher U, Wurie I, Suchard MA, Lemey P & Rambaut A (2017) Nature 2017/04/12/online Diehl WE, Lin AE, Grubaugh ND, Carvalho LM, Kim K, Kyawe PP, Mc Cauley SM, Donnard E, Kucukural A, Mc Donel P, Schaffner SF, Garber M, Rambaut A, Andersen KG, Sabeti PC & Luban J (2016) Cell 167, 1088-1098.
The method (Rel Time) performed better than existing methods when applied to very large computer simulated datasets where evolutionary rates were varied extensively among lineages by following autocorrelated and uncorrelated models.
On average, Rel Time completed calculations 1,000 times faster than the fastest Bayesian method, with even greater speed difference for larger number of sequences.
They generalized this observation to assert that the rate of evolutionary change of any specified protein was approximately constant over time and over different lineages (based on the molecular clock hypothesis (MCH)).