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The reconstructed tree in the lineage-based model of protracted speciation
- Source :
- Journal of Mathematical Biology, 70(1-2), 367-397. SPRINGER HEIDELBERG, Journal of Mathematical Biology, Journal of Mathematical Biology, Springer Verlag (Germany), 2015, 70 (1-2), pp.367-397. ⟨10.1007/s00285-014-0767-x⟩, Journal of Mathematical Biology, 2015, 70 (1-2), pp.367-397. ⟨10.1007/s00285-014-0767-x⟩
- Publication Year :
- 2013
-
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 & Rosindell (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 in Lambert (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.<br />27 pages, 5 figures
- Subjects :
- 0106 biological sciences
Independent and identically distributed random variables
[MATH.MATH-PR] Mathematics [math]/Probability [math.PR]
Time Factors
[SDV]Life Sciences [q-bio]
01 natural sciences
Coalescent theory
Statistics
coalescent point process
Quantitative Biology::Populations and Evolution
[MATH]Mathematics [math]
multitype branching process
Ultrametric space
Phylogeny
0303 health sciences
Likelihood Functions
Phylogenetic tree
MSC Primary 60J80
secondary 92D15, 60J85, 92D25, 92D40, 60G51, 60G55
Applied Mathematics
Biodiversity
Incipient speciation
splitting tree
Agricultural and Biological Sciences (miscellaneous)
Quantitative Biology::Genomics
Biological Evolution
Birth–death process
Markov Chains
scale function
birth-death process
Modeling and Simulation
Mathematics - Probability
reconstructed tree
Genetic Speciation
L'evy process
Biology
Extinction, Biological
010603 evolutionary biology
Models, Biological
Point process
03 medical and health sciences
FOS: Mathematics
60J80 (Primary) 92D15, 60J85, 92D25, 92D40, 60G51, 60G55 (Secondary)
Quantitative Biology - Populations and Evolution
030304 developmental biology
Lévy process
Probability (math.PR)
Populations and Evolution (q-bio.PE)
Mathematical Concepts
15. Life on land
protracted speciation
[MATH.MATH-PR]Mathematics [math]/Probability [math.PR]
Evolutionary biology
FOS: Biological sciences
Subjects
Details
- ISSN :
- 14321416 and 03036812
- Volume :
- 70
- Issue :
- 1-2
- Database :
- OpenAIRE
- Journal :
- Journal of mathematical biology
- Accession number :
- edsair.doi.dedup.....1477c674d019fca316a2dde58fa1c66d
- Full Text :
- https://doi.org/10.1007/s00285-014-0767-x⟩