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Cellular and Molecular Biology Letters

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1689-1392
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Volume 15, Issue 2

Issues

Molecular systematics: A synthesis of the common methods and the state of knowledge

Diego San Mauro / Ainhoa Agorreta
  • Department of Zoology, The Natural History Museum, Cromwell Road, London, SW7 5BD, UK
  • Department of Zoology and Ecology, University of Navarra, Irunlarrea s/n, 31008, Pamplona, Spain
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Published Online: 2010-03-25 | DOI: https://doi.org/10.2478/s11658-010-0010-8

Abstract

The comparative and evolutionary analysis of molecular data has allowed researchers to tackle biological questions that have long remained unresolved. The evolution of DNA and amino acid sequences can now be modeled accurately enough that the information conveyed can be used to reconstruct the past. The methods to infer phylogeny (the pattern of historical relationships among lineages of organisms and/or sequences) range from the simplest, based on parsimony, to more sophisticated and highly parametric ones based on likelihood and Bayesian approaches. In general, molecular systematics provides a powerful statistical framework for hypothesis testing and the estimation of evolutionary processes, including the estimation of divergence times among taxa. The field of molecular systematics has experienced a revolution in recent years, and, although there are still methodological problems and pitfalls, it has become an essential tool for the study of evolutionary patterns and processes at different levels of biological organization. This review aims to present a brief synthesis of the approaches and methodologies that are most widely used in the field of molecular systematics today, as well as indications of future trends and state-of-the-art approaches.

Keywords: Molecular systematics; Phylogenetic inference; Molecular evolution; Phylogeny; Evolutionary analysis; Evolutionary hypothesis; Divergence time

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Published Online: 2010-03-25

Published in Print: 2010-06-01


Citation Information: Cellular and Molecular Biology Letters, Volume 15, Issue 2, Pages 311–341, ISSN (Online) 1689-1392, DOI: https://doi.org/10.2478/s11658-010-0010-8.

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Diego San Mauro, David J. Gower, Hendrik Müller, Simon P. Loader, Rafael Zardoya, Ronald A. Nussbaum, and Mark Wilkinson
Molecular Phylogenetics and Evolution, 2014, Volume 73, Page 177
[8]
M.K.A. McNamara, T.L. Miller, and T.H. Cribb
International Journal for Parasitology, 2014, Volume 44, Number 1, Page 37
[9]
Ainhoa Agorreta, Diego San Mauro, Ulrich Schliewen, James L. Van Tassell, Marcelo Kovačić, Rafael Zardoya, and Lukas Rüber
Molecular Phylogenetics and Evolution, 2013, Volume 69, Number 3, Page 619
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Jianxia Jiang, Jingjing Jiang, Yafei Yang, and Jiashu Cao
Cellular and Molecular Biology Letters, 2013, Volume 18, Number 3
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Ainhoa Agorreta, Omar Domínguez-Domínguez, Ruth G. Reina, Rafael Miranda, Eldredge Bermingham, and Ignacio Doadrio
Molecular Phylogenetics and Evolution, 2013, Volume 66, Number 1, Page 80
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Katerina Korenblat, Zeev Volkovich, and Alexander Bolshoy
Computational Biology and Chemistry, 2012, Volume 40, Page 20
[13]
Ainhoa Agorreta and Lukas Rüber
Systematics and Biodiversity, 2012, Volume 10, Number 3, Page 375
[14]
D. San Mauro, D. J. Gower, J. A. Cotton, R. Zardoya, M. Wilkinson, and T. Massingham
Systematic Biology, 2012, Volume 61, Number 4, Page 661
[15]
Patrick S Fitze, Virginia Gonzalez-Jimena, Luis M San-Jose, Diego San Mauro, Pedro Aragón, Teresa Suarez, and Rafael Zardoya
BMC Evolutionary Biology, 2011, Volume 11, Number 1, Page 347
[16]
Leticia Bidegaray-Batista and Miquel A Arnedo
BMC Evolutionary Biology, 2011, Volume 11, Number 1, Page 317
[17]
Ming Yang and Gerald J. Wyckoff
Genetica, 2011, Volume 139, Number 5, Page 639
[18]
Diego San Mauro
Molecular Phylogenetics and Evolution, 2010, Volume 56, Number 2, Page 554

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