2013
DOI: 10.1016/j.ympev.2013.06.006
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Integrating phylogenetics, phylogeography and population genetics through genomes and evolutionary theory

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Cited by 67 publications
(77 citation statements)
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References 157 publications
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“…3, 4). Theory predicts that the low polymorphism chromosome centers should exhibit reduced heterogeneity in the timing of divergence among populations, owing to more complete lineage sorting (Charlesworth 1998;Cutter 2013;Pease and Hahn 2013). Indeed, interpopulation divergence of the chromosome center versus arm PSMC profiles is consistent with this expectation (Fig.…”
Section: Low Recombination Regions Show Drastic Skews In Polymorphismsupporting
confidence: 59%
See 1 more Smart Citation
“…3, 4). Theory predicts that the low polymorphism chromosome centers should exhibit reduced heterogeneity in the timing of divergence among populations, owing to more complete lineage sorting (Charlesworth 1998;Cutter 2013;Pease and Hahn 2013). Indeed, interpopulation divergence of the chromosome center versus arm PSMC profiles is consistent with this expectation (Fig.…”
Section: Low Recombination Regions Show Drastic Skews In Polymorphismsupporting
confidence: 59%
“…and a per-site mutation rate each generation of μ = 2.7 × 10 −9 (Denver et al 2009). This yields T = 35.0 million generations (Mgen) ago; lower π anc or μ would result in more ancient T. Divergence in low recombination center regions of chromosomes might better reflect the time since the cessation of gene flow between species, owing to reduced ancestral polymorphism (Cutter 2013;Cruickshank and Hahn 2014), so we also computed T given d S-center = 0.186 and assuming π anc-center = 0 to yield T = 34.8 Mgen ago; higher π anc or μ would result in more recent T. These estimates of neutral divergence excluded 958 loci with d S > 0.8 and ENC < 45 to mitigate against any remaining false ortholog assignments and genes with strong selection on codon usage. For divergence time estimation of the Kerala strains to other strains of C. briggsae, we used this same approach using silent-site D xy instead of d S , with values of D xy-center = 0.0113 and π anc-center = 0.00041 to yield T = 2.02 Mgen ago.…”
Section: Ortholog Identification and Divergence Time Calculationmentioning
confidence: 99%
“…Finally, reticulation is becoming increasingly conspicuous at the level of diverging species and adaptive radiations (25,35,(41)(42)(43)(44), and is causing biologists to consider "ephemeral species," with frequent lineage mergers, not only among sister taxa but between lineages with any geographic co-occurrence (45). The goal, however imperfect it is now realized, is to develop and apply models that integrate phylogeography, demography, and genome evolution in ways that will allow more nuanced interpretation of myriad interacting evolutionary processes from patterns of genomic diversity (46). Acknowledging and modeling reticulation at various levels in the hierarchy of life will be an important part of reaching this goal.…”
mentioning
confidence: 99%
“…A large body of recent work has been devoted to the issue of incongruence between the species tree (the true speciation history) and the gene trees evolving within (Anderson et al 2012;Cutter 2013). The traditional approach of concatenating the total genetic evidence into a supermatrix to obtain a global estimate of the predominant phylogenetic signal and hidden support (Gatesy and Baker 2005), without consideration for the heterogeneity of individual partitions, has been to some extent superseded by multispecies coalescent (MSC) techniques (reviewed in: Edwards 2009; Knowles and Kubatko 2010;Anderson et al 2012;Cutter 2013;Leaché et al 2014).…”
mentioning
confidence: 99%
“…The traditional approach of concatenating the total genetic evidence into a supermatrix to obtain a global estimate of the predominant phylogenetic signal and hidden support (Gatesy and Baker 2005), without consideration for the heterogeneity of individual partitions, has been to some extent superseded by multispecies coalescent (MSC) techniques (reviewed in: Edwards 2009; Knowles and Kubatko 2010;Anderson et al 2012;Cutter 2013;Leaché et al 2014). The majority of the new MSC algorithms are intended to model at least some of the sources of heterogeneity between different markers, most frequently focusing on the problem of ILS (e.g.…”
mentioning
confidence: 99%