Abstract
A popular line of research in evolutionary biology is the use of time-calibrated phylogenies for the inference of diversification processes. This requires computing the likelihood of a given ultrametric tree as the reconstructed tree produced by a given model of diversification. Etienne and Rosindell in Syst Biol 61(2):204–213, (2012) proposed a lineage-based model of diversification, called protracted speciation, where species remain incipient during a random duration before turning good species, and showed that this can explain the slowdown in lineage accumulation observed in real phylogenies. However, they were unable to provide a general likelihood formula. Here, we present a likelihood formula for protracted speciation models, where rates at which species turn good or become extinct can depend both on their age and on time. Our only restrictive assumption is that speciation rate does not depend on species status. Our likelihood formula utilizes a new technique, based on the contour of the phylogenetic tree and first developed by Lambert in Ann Probab 38(1):348–395, (2010). We consider the reconstructed trees spanned by all extant species, by all good extant species, or by all representative species, which are either good extant species or incipient species representative of some good extinct species. Specifically, we prove that each of these trees is a coalescent point process, that is, a planar, ultrametric tree where the coalescence times between two consecutive tips are independent, identically distributed random variables. We characterize the common distribution of these coalescence times in some, biologically meaningful, special cases for which the likelihood reduces to an elegant analytical formula or becomes numerically tractable.
This is a preview of subscription content, log in to check access.






References
Aldous D, Popovic L (2005) A critical branching process model for biodiversity. Adv Appl Probab 37(4):1094–1115
Bertoin J (1996) Lévy processes. In: Cambridge Tracts in Mathematics, vol 121. Cambridge University Press, Cambridge
Etienne R, Haegeman B (2012) A conceptual and statistical framework for adaptive radiations with a key role for diversity dependence. Am Nat 180(4):75–89
Etienne R, Haegeman B, Stadler T, Aze T, Pearson P, Purvis A, Phillimore A (2012) Diversity-dependence brings molecular phylogenies closer to agreement with the fossil record. Proc R Soc B Biol Sci 279(1732):1300–1309
Etienne R, Rosindell J (2012) Prolonging the past counteracts the pull of the present: protracted speciation can explain observed slowdowns in diversification. Syst Biol 61(2):204–213
Hallinan N (2012) The generalized time variable reconstructed birth-death process. J Theor Biol 300:265–276
Kendall D (1948) On the generalized “birth-and-death” process. Ann Math Stat 19(1):1–15
Kyprianou A (2006) Introductory lectures on fluctuations of Lévy processes with applications. Springer, Berlin
Lambert A (2009) The allelic partition for coalescent point processes. Markov Proc Relat Fields 15:359–386
Lambert A (2010) The contour of splitting trees is a Lévy process. Ann Probab 38(1):348–395
Lambert A (2011) Species abundance distributions in neutral models with immigration or mutation and general lifetimes. J Math Biol 63(1):57–72
Lambert A, Stadler T (2013) Birth–death models and coalescent point processes: the shape and probability of reconstructed phylogenies. Theor Popul Biol 90:113–128
Lambert A, Trapman P (2013) Splitting trees stopped when the first clock rings and Vervaat’s transformation. J Appl Prob 50(1):208–227
McPeek M (2008) The ecological dynamics of clade diversification and community assembly. Am Nat 172(6):E270–E284
Moen D, Morlon H (2014) Why does diversification slow down? Trends Ecol Evol (In press)
Mooers AO, Heard SB (1997) Inferring evolutionary process from phylogenetic tree shape. Q Rev Biol 72:31–54
Mooers AO, Harmon LJ, Blum MGB, Wong DHJ, Heard SB (2007) Some models of phylogenetic tree shape. In: Gascuel O, Steel M (eds) Reconstr. Evol. New Math. Comput. Adv. Oxford University Press, Oxford, pp 149–170
Morlon H, Parsons T, Plotkin J (2011) Reconciling molecular phylogenies with the fossil record. Proc Natl Acad Sci USA 108(39):16327–16332
Morlon H, Potts M, Plotkin J (2010) Inferring the dynamics of diversification: a coalescent approach. PLoS Biol 8(9):e1000493
Morlon H (2014) Phylogenetic approaches for studying diversification. Ecol Lett (In press)
Nee S, May R, Harvey P (1994) The reconstructed evolutionary process. Philos Trans R Soc B 344(1309):305–311
Pennell MW, Harmon LJ (2013) An integrative view of phylogenetic comparative methods: connections to population genetics, community ecology, and paleobiology. Ann N Y Acad Sci 1289:90–105
Pigot A, Phillimore A, Owens I, Orme C (2010) The shape and temporal dynamics of phylogenetic trees arising from geographic speciation. Syst Biol 59(6):660–673
Popovic L (2004) Asymptotic genealogy of a critical branching process. Ann Appl Prob 14(4):2120–2148
Pyron RA, Burbrink FT (2013) Phylogenetic estimates of speciation and extinction rates for testing ecological and evolutionary hypotheses. Trends Ecol Evol 28:729–732
Rabosky D, Lovette I (2008) Density-dependent diversification in North American wood warblers. Proc R Soc B Biol Sci 275(1649):2363–2371
Ricklefs RE (2007) Estimating diversification rates from phylogenetic information. Trends Ecol Evol 22:601–610
Rosindell J, Cornell S, Hubbell S, Etienne R (2010) Protracted speciation revitalizes the neutral theory of biodiversity. Ecol Lett 13(6):716–727
Stadler T (2009) On incomplete sampling under birth–death models and connections to the sampling-based coalescent. J Theor Biol 261(1):58–66
Stadler T (2011) Mammalian phylogeny reveals recent diversification rate shifts. Proc Natl Acad Sci 108(15):6187–6192
Stadler T (2013) Recovering speciation and extinction dynamics based on phylogenies. J Evol Biol 26:1203–1219
Tajima F (1983) Evolutionary relationship of dna sequences in finite populations. Genetics 105(2):437–460
Acknowledgments
AL was financially supported by grant MANEGE ‘Modèles Aléatoires en Écologie, Génétique et Évolution’ 09-BLAN-0215 of ANR (French national research agency). AL also thanks the Center for Interdisciplinary Research in Biology (Collège de France) for funding. HM was funded by the CNRS and ANR grant ECOEVOBIO-CHEX2011. RSE was financially supported by the Netherlands Organisation for Scientific Research (NWO) through a VIDI grant.
Author information
Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Lambert, A., Morlon, H. & Etienne, R.S. The reconstructed tree in the lineage-based model of protracted speciation. J. Math. Biol. 70, 367–397 (2015). https://doi.org/10.1007/s00285-014-0767-x
Received:
Revised:
Published:
Issue Date:
Keywords
- Phylogeny
- Reconstructed tree
- Protracted speciation
- Multitype branching process
- Coalescent point process
- Splitting tree
- Birth–death process
- Lévy process
- Scale function
Mathematics Subject Classification (2000)
- Primary 60J80
- Secondary 92D15
- 60J85
- 92D25
- 92D40
- 60G51
- 60G55