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Citation for Study 1663

Citation title: "A higher-level MRP supertree of placental mammals".

This study was previously identified under the legacy study ID S1620 (Status: Published).

Citation

Beck R., Bininda-emonds O., Cardillo M., Liu F., & Purvis A. 2006. A higher-level MRP supertree of placental mammals. BMC Evolutionary Biology, null.

Authors

• Beck R.
• Bininda-emonds O.
• Cardillo M.
• Liu F.
• Purvis A.

Abstract

Background The higher-level phylogeny of placental mammals has long been a phylogenetic Gordian knot, with disagreement about both the precise contents of, and relationships between, the extant orders. A recent MRP supertree that favoured outdated hypotheses (notably, monophyly of both Artiodactyla and Lipotyphla) has been heavily criticised for including low-quality and redundant data. We apply a stringent data selection protocol designed to minimise these problems to a much-expanded data set of morphological, molecular and combined source trees, to produce a supertree that includes every family of extant placental mammals. Results The supertree is well-resolved and supports both polyphyly of Lipotyphla and paraphyly of Artiodactyla with respect to Cetacea. The existence of four superorders  Afrotheria, Xenarthra, Laurasiatheria and Euarchontoglires - is also supported. The topology is highly congruent with recent (molecular) phylogenetic analyses of placental mammals, but is considerably more comprehensive, being the first phylogeny to include all 113 extant families without making a priori assumptions of suprafamilial monophyly. Subsidiary analyses reveal that the data selection protocol played a key role in the major changes relative to a previously published higher-level supertree of placentals. Conclusions The supertree should provide a useful framework for hypothesis testing in phylogenetic comparative biology, and supports the idea that biogeography has played a crucial role in the evolution of placental mammals. Our results demonstrate the importance of minimising poor and redundant data when constructing supertrees.

About this resource

• Canonical resource URI: http://purl.org/phylo/treebase/phylows/study/TB2:S1663
• Other versions: Nexus NeXML
• Show BibTeX reference

  		@ARTICLE{TreeBASE2Ref14694,
  	 author = {R. M. D.  Beck and Olaf R. P.  Bininda-Emonds and Marcel  Cardillo and F. G. R.  Liu and Andy  Purvis},
  	 title = {A higher-level MRP supertree of placental mammals},
  	 year = {2006},
  	 keywords = {},
  	 doi = {},
  	 url = {},
  	 pmid = {},
  	 journal = {BMC Evolutionary Biology},
  	 volume = {},
  	 number = {},
  	 pages = {},
  	 abstract = {Background The higher-level phylogeny of placental mammals has long been a phylogenetic Gordian knot, with disagreement about both the precise contents of, and relationships between, the extant orders. A recent MRP supertree that favoured outdated hypotheses (notably, monophyly of both Artiodactyla and Lipotyphla) has been heavily criticised for including low-quality and redundant data. We apply a stringent data selection protocol designed to minimise these problems to a much-expanded data set of morphological, molecular and combined source trees, to produce a supertree that includes every family of extant placental mammals. Results The supertree is well-resolved and supports both polyphyly of Lipotyphla and paraphyly of Artiodactyla with respect to Cetacea. The existence of four superorders  Afrotheria, Xenarthra, Laurasiatheria and Euarchontoglires - is also supported. The topology is highly congruent with recent (molecular) phylogenetic analyses of placental mammals, but is considerably more comprehensive, being the first phylogeny to include all 113 extant families without making a priori assumptions of suprafamilial monophyly. Subsidiary analyses reveal that the data selection protocol played a key role in the major changes relative to a previously published higher-level supertree of placentals. Conclusions The supertree should provide a useful framework for hypothesis testing in phylogenetic comparative biology, and supports the idea that biogeography has played a crucial role in the evolution of placental mammals. Our results demonstrate the importance of minimising poor and redundant data when constructing supertrees.}
  }
  		

• Show RIS reference

  		TY  - JOUR
  ID  - 14694
  AU  - Beck,R. M. D. 
  AU  - Bininda-Emonds,Olaf R. P. 
  AU  - Cardillo,Marcel 
  AU  - Liu,F. G. R. 
  AU  - Purvis,Andy 
  T1  - A higher-level MRP supertree of placental mammals
  PY  - 2006
  KW  - 
  UR  - 
  N2  - Background The higher-level phylogeny of placental mammals has long been a phylogenetic Gordian knot, with disagreement about both the precise contents of, and relationships between, the extant orders. A recent MRP supertree that favoured outdated hypotheses (notably, monophyly of both Artiodactyla and Lipotyphla) has been heavily criticised for including low-quality and redundant data. We apply a stringent data selection protocol designed to minimise these problems to a much-expanded data set of morphological, molecular and combined source trees, to produce a supertree that includes every family of extant placental mammals. Results The supertree is well-resolved and supports both polyphyly of Lipotyphla and paraphyly of Artiodactyla with respect to Cetacea. The existence of four superorders  Afrotheria, Xenarthra, Laurasiatheria and Euarchontoglires - is also supported. The topology is highly congruent with recent (molecular) phylogenetic analyses of placental mammals, but is considerably more comprehensive, being the first phylogeny to include all 113 extant families without making a priori assumptions of suprafamilial monophyly. Subsidiary analyses reveal that the data selection protocol played a key role in the major changes relative to a previously published higher-level supertree of placentals. Conclusions The supertree should provide a useful framework for hypothesis testing in phylogenetic comparative biology, and supports the idea that biogeography has played a crucial role in the evolution of placental mammals. Our results demonstrate the importance of minimising poor and redundant data when constructing supertrees.
  L3  - 
  JF  - BMC Evolutionary Biology
  VL  - 
  IS  - 
  ER  -