Literature DB >> 22892639

Challenges and pitfalls in the characterization of anonymous outlier AFLP markers in non-model species: lessons from an ocellated lizard genome scan.

V L Nunes1, M A Beaumont, R K Butlin, O S Paulo.   

Abstract

In the last few years, dozens of studies have documented the detection of loci influenced by selection from genome scans in a wide range of non-model species. Many of those studies used amplified fragment length polymorphism (AFLP) markers, which became popular for being easily applicable to any organism. However, because they are anonymous markers, AFLPs impose many challenges for their isolation and identification. Most recent AFLP genome scans used capillary electrophoresis (CE), which adds even more obstacles to the isolation of bands with a specific size for sequencing. These caveats might explain the extremely low number of studies that moved from the detection of outlier AFLP markers to their actual isolation and characterization. We document our efforts to characterize a set of outlier AFLP markers from a previous genome scan with CE in ocellated lizards (Lacerta lepida). Seven outliers were successfully isolated, cloned and sequenced. Their sequences are noncoding and show internal indels or polymorphic repetitive elements (microsatellites). Three outliers were converted into codominant markers by using specific internal primers to sequence and screen population variability from undigested DNA. Amplification in closely related lizard species was also achieved, revealing remarkable interspecific conservation in outlier loci sequences. We stress the importance of following up AFLP genome scans to validate selection signatures of outlier loci, but also report the main challenges and pitfalls that may be faced during the process.

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Year:  2012        PMID: 22892639      PMCID: PMC3499840          DOI: 10.1038/hdy.2012.48

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.821


  38 in total

1.  Multiple approaches to detect outliers in a genome scan for selection in ocellated lizards (Lacerta lepida) along an environmental gradient.

Authors:  Vera L Nunes; Mark A Beaumont; Roger K Butlin; Octávio S Paulo
Journal:  Mol Ecol       Date:  2010-11-22       Impact factor: 6.185

Review 2.  Combining population genomics and quantitative genetics: finding the genes underlying ecologically important traits.

Authors:  J R Stinchcombe; H E Hoekstra
Journal:  Heredity (Edinb)       Date:  2007-02-21       Impact factor: 3.821

3.  Estimating population structure from AFLP amplification intensity.

Authors:  Matthieu Foll; Martin C Fischer; Gerald Heckel; Laurent Excoffier
Journal:  Mol Ecol       Date:  2010-09-27       Impact factor: 6.185

4.  Impact of amplified fragment length polymorphism size homoplasy on the estimation of population genetic diversity and the detection of selective loci.

Authors:  Armando Caballero; Humberto Quesada; Emilio Rolán-Alvarez
Journal:  Genetics       Date:  2008-05       Impact factor: 4.562

5.  AFLP: a new technique for DNA fingerprinting.

Authors:  P Vos; R Hogers; M Bleeker; M Reijans; T van de Lee; M Hornes; A Frijters; J Pot; J Peleman; M Kuiper
Journal:  Nucleic Acids Res       Date:  1995-11-11       Impact factor: 16.971

6.  The role of vicariance vs. dispersal in shaping genetic patterns in ocellated lizard species in the western Mediterranean.

Authors:  O S Paulo; J Pinheiro; A Miraldo; M W Bruford; W C Jordan; R A Nichols
Journal:  Mol Ecol       Date:  2008-02-21       Impact factor: 6.185

7.  Spatial analysis method (sam): a software tool combining molecular and environmental data to identify candidate loci for selection.

Authors:  Stéphane Joost; Michael Kalbermatten; Aurélie Bonin
Journal:  Mol Ecol Resour       Date:  2008-06-28       Impact factor: 7.090

8.  Statistical method for testing the neutral mutation hypothesis by DNA polymorphism.

Authors:  F Tajima
Journal:  Genetics       Date:  1989-11       Impact factor: 4.562

9.  Scanning the European corn borer (Ostrinia spp.) genome for adaptive divergence between host-affiliated sibling species.

Authors:  Afiwa Midamegbe; Renaud Vitalis; Thibaut Malausa; Emilie Delava; Sandrine Cros-Arteil; Réjane Streiff
Journal:  Mol Ecol       Date:  2011-03-07       Impact factor: 6.185

10.  Comparing three different methods to detect selective loci using dominant markers.

Authors:  A Pérez-Figueroa; M J García-Pereira; M Saura; E Rolán-Alvarez; A Caballero
Journal:  J Evol Biol       Date:  2010-10       Impact factor: 2.411

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  5 in total

Review 1.  Towards the identification of the loci of adaptive evolution.

Authors:  Carolina Pardo-Diaz; Camilo Salazar; Chris D Jiggins
Journal:  Methods Ecol Evol       Date:  2015-02-12       Impact factor: 7.781

2.  Discrimination of Picea chihuahuana Martinez populations on the basis of climatic, edaphic, dendrometric, genetic and population traits.

Authors:  Iliana Karina Dominguez-Guerrero; Samantha Del Rocío Mariscal-Lucero; José Ciro Hernández-Díaz; Berthold Heinze; José Ángel Prieto-Ruiz; Christian Wehenkel
Journal:  PeerJ       Date:  2017-06-12       Impact factor: 2.984

3.  Taxonomic reassessment of the genus Dichotomius (Coleoptera: Scarabaeinae) through integrative taxonomy.

Authors:  Carolina Pardo-Diaz; Alejandro Lopera Toro; Sergio Andrés Peña Tovar; Rodrigo Sarmiento-Garcés; Melissa Sanchez Herrera; Camilo Salazar
Journal:  PeerJ       Date:  2019-08-05       Impact factor: 2.984

4.  Genomic distribution of AFLP markers relative to gene locations for different eukaryotic species.

Authors:  Armando Caballero; María Jesús García-Pereira; Humberto Quesada
Journal:  BMC Genomics       Date:  2013-08-01       Impact factor: 3.969

5.  Adaptive divergence along environmental gradients in a climate-change-sensitive mammal.

Authors:  P Henry; M A Russello
Journal:  Ecol Evol       Date:  2013-09-16       Impact factor: 2.912

  5 in total

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