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A species-level timeline of mammal evolution integrating phylogenomic data
by
Tamuri, Asif U.
, Carlisle, Emily
, Yang, Ziheng
, Battini, Matteo
, Nascimento, Fabrícia F.
, dos Reis, Mario
, Asher, Robert J.
, Donoghue, Philip C. J.
, Álvarez-Carretero, Sandra
in
631/114/2415
/ 631/181/414
/ 631/181/735
/ 631/181/757
/ Animals
/ Bayes Theorem
/ Bayesian analysis
/ Calibration
/ Cretaceous
/ Datasets
/ Diversification
/ Eocene
/ Estimates
/ Eutheria - classification
/ Eutheria - genetics
/ Evolution
/ Evolution, Molecular
/ Female
/ Gene sequencing
/ Genomes
/ Humanities and Social Sciences
/ Mammals
/ Mammals - classification
/ Mammals - genetics
/ multidisciplinary
/ Next-generation sequencing
/ Nucleotide sequence
/ Paleocene
/ Phylogeny
/ Placenta
/ Pregnancy
/ Science
/ Science (multidisciplinary)
/ Species
/ Species Specificity
2022
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A species-level timeline of mammal evolution integrating phylogenomic data
by
Tamuri, Asif U.
, Carlisle, Emily
, Yang, Ziheng
, Battini, Matteo
, Nascimento, Fabrícia F.
, dos Reis, Mario
, Asher, Robert J.
, Donoghue, Philip C. J.
, Álvarez-Carretero, Sandra
in
631/114/2415
/ 631/181/414
/ 631/181/735
/ 631/181/757
/ Animals
/ Bayes Theorem
/ Bayesian analysis
/ Calibration
/ Cretaceous
/ Datasets
/ Diversification
/ Eocene
/ Estimates
/ Eutheria - classification
/ Eutheria - genetics
/ Evolution
/ Evolution, Molecular
/ Female
/ Gene sequencing
/ Genomes
/ Humanities and Social Sciences
/ Mammals
/ Mammals - classification
/ Mammals - genetics
/ multidisciplinary
/ Next-generation sequencing
/ Nucleotide sequence
/ Paleocene
/ Phylogeny
/ Placenta
/ Pregnancy
/ Science
/ Science (multidisciplinary)
/ Species
/ Species Specificity
2022
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Do you wish to request the book?
A species-level timeline of mammal evolution integrating phylogenomic data
by
Tamuri, Asif U.
, Carlisle, Emily
, Yang, Ziheng
, Battini, Matteo
, Nascimento, Fabrícia F.
, dos Reis, Mario
, Asher, Robert J.
, Donoghue, Philip C. J.
, Álvarez-Carretero, Sandra
in
631/114/2415
/ 631/181/414
/ 631/181/735
/ 631/181/757
/ Animals
/ Bayes Theorem
/ Bayesian analysis
/ Calibration
/ Cretaceous
/ Datasets
/ Diversification
/ Eocene
/ Estimates
/ Eutheria - classification
/ Eutheria - genetics
/ Evolution
/ Evolution, Molecular
/ Female
/ Gene sequencing
/ Genomes
/ Humanities and Social Sciences
/ Mammals
/ Mammals - classification
/ Mammals - genetics
/ multidisciplinary
/ Next-generation sequencing
/ Nucleotide sequence
/ Paleocene
/ Phylogeny
/ Placenta
/ Pregnancy
/ Science
/ Science (multidisciplinary)
/ Species
/ Species Specificity
2022
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A species-level timeline of mammal evolution integrating phylogenomic data
Journal Article
A species-level timeline of mammal evolution integrating phylogenomic data
2022
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Overview
High-throughput sequencing projects generate genome-scale sequence data for species-level phylogenies
1
–
3
. However, state-of-the-art Bayesian methods for inferring timetrees are computationally limited to small datasets and cannot exploit the growing number of available genomes
4
. In the case of mammals, molecular-clock analyses of limited datasets have produced conflicting estimates of clade ages with large uncertainties
5
,
6
, and thus the timescale of placental mammal evolution remains contentious
7
–
10
. Here we develop a Bayesian molecular-clock dating approach to estimate a timetree of 4,705 mammal species integrating information from 72 mammal genomes. We show that increasingly larger phylogenomic datasets produce diversification time estimates with progressively smaller uncertainties, facilitating precise tests of macroevolutionary hypotheses. For example, we confidently reject an explosive model of placental mammal origination in the Palaeogene
8
and show that crown Placentalia originated in the Late Cretaceous with unambiguous ordinal diversification in the Palaeocene/Eocene. Our Bayesian methodology facilitates analysis of complete genomes and thousands of species within an integrated framework, making it possible to address hitherto intractable research questions on species diversifications. This approach can be used to address other contentious cases of animal and plant diversifications that require analysis of species-level phylogenomic datasets.
Bayesian analysis of datasets comprising genomes from multiple mammalian species can efficiently and precisely decipher their evolutionary timeline.
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