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ISSN: 2329-9002

Journal of Phylogenetics & Evolutionary Biology
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Research Article

An Updated Multilocus Phylogeny of the Lumbricidae (Annelida: Clitellata: Oligochaeta) Earthworms

Marcos Pérez-Losada1-3*, Jesse W Breinholt4, Manuel Aira5 and Jorge Domínguez5
1CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, 4485-661 Vairão, Portugal.
2Computational Biology Institute, George Washington University, Ashburn, VA 20147, USA
3Department of Invertebrate Zoology, US National Museum of Natural History, Smithsonian Institution, Washington, DC 20013, USA
4Florida Museum of Natural History, University of Florida, Gainesville, FL 32611, USA
5Departamento de Ecoloxía e Bioloxía Animal, Universidade de Vigo, E-36310, Spain
Corresponding Author : Dr. Marcos Pérez-Losada
Computational Biology Institute
George Washington University
Ashburn, VA 20147 USA
Tel: 571-5530243
E-mail: [email protected]
Received November 04, 2014; Accepted November 27, 2014; Published November 30, 2014
Citation: Pérez-Losada M, Breinholt JW, Aira M, Domínguez J (2015) An Updated Multilocus Phylogeny of the Lumbricidae (Annelida: Clitellata: Oligochaeta) Earthworms. J Phylogen Evolution Biol 3:140. doi:10.4172/2329-9002-3-140
Copyright: ©2015 Pérez-Losada M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Abstract

Lumbricidae earthworms dominate agricultural lands and often natural terrestrial ecosystems in temperate regions in Europe. They impact soil properties and nutrient cycling, shaping plant community composition and aboveground food webs. The simplicity of the earthworm body plan has hampered morphology-based classifications and taxonomy; hence current research on Lumbricidae systematic relies mostly on molecular data from multiple or single locus [e.g., cytochrome oxidase subunit I (COI) barcodes] to infer evolutionary relationships, validate taxonomic groups and/or identify species. Here we use multiple nuclear and mitochondrial gene regions (including COI) to generate updated maximum likelihood and Bayesian phylogenies of the family Lumbricidae. We then compare these trees to new COI trees to assess the performance of COI at inferring lumbricid inter-generic relationships.

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