Literature DB >> 21279823

Microsatellite standardization and evaluation of genotyping error in a large multi-partner research programme for conservation of Atlantic salmon (Salmo salar L.).

J S Ellis1, J Gilbey, A Armstrong, T Balstad, E Cauwelier, C Cherbonnel, S Consuegra, J Coughlan, T F Cross, W Crozier, E Dillane, D Ensing, C García de Leániz, E García-Vázquez, A M Griffiths, K Hindar, S Hjorleifsdottir, D Knox, G Machado-Schiaffino, P McGinnity, D Meldrup, E E Nielsen, K Olafsson, C R Primmer, P Prodohl, L Stradmeyer, J-P Vähä, E Verspoor, V Wennevik, J R Stevens.   

Abstract

Microsatellite genotyping is a common DNA characterization technique in population, ecological and evolutionary genetics research. Since different alleles are sized relative to internal size-standards, different laboratories must calibrate and standardize allelic designations when exchanging data. This interchange of microsatellite data can often prove problematic. Here, 16 microsatellite loci were calibrated and standardized for the Atlantic salmon, Salmo salar, across 12 laboratories. Although inconsistencies were observed, particularly due to differences between migration of DNA fragments and actual allelic size ('size shifts'), inter-laboratory calibration was successful. Standardization also allowed an assessment of the degree and partitioning of genotyping error. Notably, the global allelic error rate was reduced from 0.05 ± 0.01 prior to calibration to 0.01 ± 0.002 post-calibration. Most errors were found to occur during analysis (i.e. when size-calling alleles; the mean proportion of all errors that were analytical errors across loci was 0.58 after calibration). No evidence was found of an association between the degree of error and allelic size range of a locus, number of alleles, nor repeat type, nor was there evidence that genotyping errors were more prevalent when a laboratory analyzed samples outside of the usual geographic area they encounter. The microsatellite calibration between laboratories presented here will be especially important for genetic assignment of marine-caught Atlantic salmon, enabling analysis of marine mortality, a major factor in the observed declines of this highly valued species.

Entities:  

Mesh:

Year:  2011        PMID: 21279823      PMCID: PMC3059809          DOI: 10.1007/s10709-011-9554-4

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  29 in total

1.  A tale of two genotypes: consistency between two high-throughput genotyping centers.

Authors:  Daniel E Weeks; Yvette P Conley; Robert E Ferrell; Tammy S Mah; Michael B Gorin
Journal:  Genome Res       Date:  2002-03       Impact factor: 9.043

2.  SNPs in ecological and conservation studies: a test in the Scandinavian wolf population.

Authors:  J M Seddon; H G Parker; E A Ostrander; H Ellegren
Journal:  Mol Ecol       Date:  2005-02       Impact factor: 6.185

3.  How to track and assess genotyping errors in population genetics studies.

Authors:  A Bonin; E Bellemain; P Bronken Eidesen; F Pompanon; C Brochmann; P Taberlet
Journal:  Mol Ecol       Date:  2004-11       Impact factor: 6.185

Review 4.  Genomics and conservation genetics.

Authors:  Michael H Kohn; William J Murphy; Elaine A Ostrander; Robert K Wayne
Journal:  Trends Ecol Evol       Date:  2006-09-05       Impact factor: 17.712

Review 5.  Computer programs for population genetics data analysis: a survival guide.

Authors:  Laurent Excoffier; Gerald Heckel
Journal:  Nat Rev Genet       Date:  2006-08-22       Impact factor: 53.242

6.  Deep genetic subdivision within a continuously distributed and highly vagile marine mammal, the Steller's sea lion (Eumetopias jubatus).

Authors:  J I Hoffman; C W Matson; W Amos; T R Loughlin; J W Bickham
Journal:  Mol Ecol       Date:  2006-09       Impact factor: 6.185

7.  Normalization and binning of historical and multi-source microsatellite data: overcoming the problems of allele size shift with allelogram.

Authors:  Phillip A Morin; Carl Manaster; Sarah L Mesnick; Robert Holland
Journal:  Mol Ecol Resour       Date:  2009-05-13       Impact factor: 7.090

8.  Novel set of multiplex assays (SalPrint15) for efficient analysis of 15 microsatellite loci of contemporary samples of the Atlantic salmon (Salmo salar).

Authors:  Kristinn Olafsson; Sigridur Hjorleifsdottir; Christophe Pampoulie; Gudmundur Oli Hreggvidsson; Sigurdur Gudjonsson
Journal:  Mol Ecol Resour       Date:  2009-10-15       Impact factor: 7.090

9.  Protein and microsatellite single locus variability in Salmo salar L. (Atlantic salmon).

Authors:  J A Sánchez; C Clabby; D Ramos; G Blanco; F Flavin; E Vázquez; R Powell
Journal:  Heredity (Edinb)       Date:  1996-10       Impact factor: 3.821

10.  Atlantic salmon, Salmo salar, microsatellites at the SSOSL25, SSOSL85, SSOSL311, SSOSL417 loci.

Authors:  A Slettan; I Olsaker; O Lie
Journal:  Anim Genet       Date:  1995-08       Impact factor: 3.169

View more
  22 in total

1.  Genetic and phenotypic changes in an Atlantic salmon population supplemented with non-local individuals: a longitudinal study over 21 years.

Authors:  Sabrina Le Cam; Charles Perrier; Anne-Laure Besnard; Louis Bernatchez; Guillaume Evanno
Journal:  Proc Biol Sci       Date:  2015-03-07       Impact factor: 5.349

2.  First core microsatellite panel identification in Apennine brown bears (Ursus arctos marsicanus): a collaborative approach.

Authors:  Erminia Scarpulla; Alessio Boattini; Mario Cozzo; Patrizia Giangregorio; Paolo Ciucci; Nadia Mucci; Ettore Randi; Francesca Davoli
Journal:  BMC Genomics       Date:  2021-08-18       Impact factor: 3.969

3.  The origins of Atlantic salmon (Salmo salar L.) recolonizing the River Mersey in northwest England.

Authors:  Charles Ikediashi; Sam Billington; Jamie R Stevens
Journal:  Ecol Evol       Date:  2012-09-11       Impact factor: 2.912

4.  Genotyping errors in a calibrated DNA register: implications for identification of individuals.

Authors:  Øystein A Haaland; Kevin A Glover; Bjørghild B Seliussen; Hans J Skaug
Journal:  BMC Genet       Date:  2011-04-20       Impact factor: 2.797

5.  Finding markers that make a difference: DNA pooling and SNP-arrays identify population informative markers for genetic stock identification.

Authors:  Mikhail Ozerov; Anti Vasemägi; Vidar Wennevik; Rogelio Diaz-Fernandez; Matthew Kent; John Gilbey; Sergey Prusov; Eero Niemelä; Juha-Pekka Vähä
Journal:  PLoS One       Date:  2013-12-16       Impact factor: 3.240

6.  Demographic status and genetic tagging of endangered capercaillie in NW Spain.

Authors:  María Morán-Luis; Alberto Fameli; Beatriz Blanco-Fontao; Alberto Fernández-Gil; Rolando Rodríguez-Muñoz; Mario Quevedo; Patricia Mirol; María-José Bañuelos
Journal:  PLoS One       Date:  2014-06-13       Impact factor: 3.240

7.  Accuracy of Assignment of Atlantic Salmon (Salmo salar L.) to Rivers and Regions in Scotland and Northeast England Based on Single Nucleotide Polymorphism (SNP) Markers.

Authors:  John Gilbey; Eef Cauwelier; Mark W Coulson; Lee Stradmeyer; James N Sampayo; Anja Armstrong; Eric Verspoor; Laura Corrigan; Jonathan Shelley; Stuart Middlemas
Journal:  PLoS One       Date:  2016-10-10       Impact factor: 3.240

8.  Towards a Joint International Database: Alignment of SSR Marker Data for European Collections of Cherry Germplasm.

Authors:  Matthew Ordidge; Suzanne Litthauer; Edward Venison; Marine Blouin-Delmas; Felicidad Fernandez-Fernandez; Monika Höfer; Christina Kägi; Markus Kellerhals; Annalisa Marchese; Stephanie Mariette; Hilde Nybom; Daniela Giovannini
Journal:  Plants (Basel)       Date:  2021-06-18

9.  Hybrids between common and Antarctic minke whales are fertile and can back-cross.

Authors:  Kevin A Glover; Naohisa Kanda; Tore Haug; Luis A Pastene; Nils Øien; Bjørghild B Seliussen; Anne G E Sørvik; Hans J Skaug
Journal:  BMC Genet       Date:  2013-04-15       Impact factor: 2.797

10.  Genotyping-by-sequencing for Populus population genomics: an assessment of genome sampling patterns and filtering approaches.

Authors:  Martin P Schilling; Paul G Wolf; Aaron M Duffy; Hardeep S Rai; Carol A Rowe; Bryce A Richardson; Karen E Mock
Journal:  PLoS One       Date:  2014-04-18       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.