Literature DB >> 27815792

Genetic structuring of the moss Pseudoscleropodium purum sampled at different distances from a pollution source.

M Teresa Boquete1, Valeria Spagnuolo2, J Ángel Fernández3, Jesús R Aboal3, Ivana Imperatore2, Simonetta Giordano2.   

Abstract

In this study, we used amplified fragment length polymorphism analysis to investigate the genetic structure of the terrestrial moss Pseudoscleropodium purum (Hedw.) M. Fleish. naturally exposed to different levels of atmospheric deposition of heavy metals. We also determined the heavy metal concentrations in samples of this moss to evaluate whether there was a relationship between atmospheric pollution and population genetic diversity. A low level of genetic diversity and a limited gene flow among populations were observed which is in accordance to the prevalence of asexual reproduction in this species. In addition, no significant correlation was found between metal content and gene diversity in P. purum, probably because of the common history of the sampled populations and/or to the lack of a drastic reduction of the size of the population; nonetheless, a clear genetic structure was evident in relation to the existing pollution gradient. Thus, based on the results of the principal coordinate analysis and Bayesian analysis of the genotypes, the mixed structure of the second most polluted population would suggest an ongoing differentiation of metal-tolerant genotypes in the most polluted sites of the sampling area.

Entities:  

Keywords:  AFLP; Atmospheric deposition; Genetic diversity; Heavy metals

Mesh:

Substances:

Year:  2016        PMID: 27815792     DOI: 10.1007/s10646-016-1727-6

Source DB:  PubMed          Journal:  Ecotoxicology        ISSN: 0963-9292            Impact factor:   2.823


  22 in total

1.  Inference of population structure using multilocus genotype data.

Authors:  J K Pritchard; M Stephens; P Donnelly
Journal:  Genetics       Date:  2000-06       Impact factor: 4.562

Review 2.  Ecotoxicology and population genetics: the emergence of "phylogeographic and evolutionary ecotoxicology".

Authors:  J L Staton; N V Schizas; G T Chandler; B C Coull; J M Quattro
Journal:  Ecotoxicology       Date:  2001-08       Impact factor: 2.823

3.  Comparison of Bayesian and maximum-likelihood inference of population genetic parameters.

Authors:  Peter Beerli
Journal:  Bioinformatics       Date:  2005-11-29       Impact factor: 6.937

4.  Evolution in Mendelian Populations.

Authors:  S Wright
Journal:  Genetics       Date:  1931-03       Impact factor: 4.562

5.  Relationship between heavy metals pollution and genetic diversity in Mediterranean populations of the sandhopper Talitrus saltator (Montagu) (Crustacea, Amphipoda).

Authors:  G Ungherese; A Mengoni; S Somigli; D Baroni; S Focardi; A Ugolini
Journal:  Environ Pollut       Date:  2010-01-19       Impact factor: 8.071

6.  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

7.  Cadmium Tolerance in a Metal-contaminated Population of the Grassland Moss Rhytidiadelphus squarrosus.

Authors:  J M Wells; D H Brown
Journal:  Ann Bot       Date:  1995-01       Impact factor: 4.357

8.  Clonal diversity and geographic structure in Pleurochaete squarrosa (Pottiaceae): different sampling scale approach.

Authors:  Valeria Spagnuolo; Stefano Terracciano; Simonetta Giordano
Journal:  J Plant Res       Date:  2009-01-08       Impact factor: 2.629

9.  Trace element content and molecular biodiversity in the epiphytic moss Leptodon smithii: two independent tracers of human disturbance.

Authors:  Valeria Spagnuolo; Stefano Terracciano; Simonetta Giordano
Journal:  Chemosphere       Date:  2009-01-19       Impact factor: 7.086

10.  GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update.

Authors:  Rod Peakall; Peter E Smouse
Journal:  Bioinformatics       Date:  2012-07-20       Impact factor: 6.937

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