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Volume 15, Issue 2 (Jun 2010)

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

Diego San Mauro
  • Department of Zoology, The Natural History Museum, Cromwell Road, London, SW7 5BD, UK
  • Email:
/ 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
  • Email:
Published Online: 2010-03-25 | DOI: https://doi.org/10.2478/s11658-010-0010-8


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, ISSN (Online) 1689-1392, DOI: https://doi.org/10.2478/s11658-010-0010-8. Export Citation

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