Accuracy of dominant markers for estimation of relatedness and heritability in an experimental stand of Prosopis alba (Leguminosae)

The estimation of genetic components of phenotypic variance is based on the resemblance between relatives. In natural populations of most forest tree species without genealogical information, a possible alternative approach is the use of relatedness estimates obtained indirectly from molecular marke...

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Autores principales: Bessega, Cecilia Fabiana, Saidman, Beatriz Ofelia, Darquier, María Rosario, Vilardi, Juan Cesar
Publicado: 2011
Materias:
Forest trees
Heritability
Leguminosae
Molecular markers
Prosopis alba
Quantitative traits
Relatedness
Fabaceae
Prosopis
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_16142942_v7_n1_p103_Bessega
http://hdl.handle.net/20.500.12110/paper_16142942_v7_n1_p103_Bessega
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Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
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spelling paper:paper_16142942_v7_n1_p103_Bessega2023-06-08T16:25:19Z Accuracy of dominant markers for estimation of relatedness and heritability in an experimental stand of Prosopis alba (Leguminosae) Bessega, Cecilia Fabiana Saidman, Beatriz Ofelia Darquier, María Rosario Vilardi, Juan Cesar Forest trees Heritability Leguminosae Molecular markers Prosopis alba Quantitative traits Relatedness Fabaceae Prosopis Prosopis alba The estimation of genetic components of phenotypic variance is based on the resemblance between relatives. In natural populations of most forest tree species without genealogical information, a possible alternative approach is the use of relatedness estimates obtained indirectly from molecular marker data. Heritability (h2) is then estimated from the covariance of estimated relatedness and phenotypic resemblance. In a stand of Prosopis alba planted in 1991 in Argentina, relatedness was estimated for all individual pairs of trees by means of the information proceeding from 128 dominant markers (57 AFLPs and 71 ISSRs) and compared with estimates obtained from six microsatellite loci previously studied. We empirically compared the accuracy of different relatedness estimators based on dominant markers proposed by Lynch and Milligan (Mol Ecol 3:91-99, 1994), Hardy (Mol Ecol 12:1577-1588, 2003), Wang (Mol Ecol 13:3169-3178, 2004), and Ritland (Mol Ecol 14:3157-3165, 2005). Heritabilities of 13 quantitative traits were then estimated from the regression of pairwise phenotypic distances on pairwise relatedness according to Ritland (Genet Res 67:175-185, 1996a). Relatedness inferred from molecular markers was in all cases significantly correlated with actual relatedness, although Ritland's estimator showed the highest bias but the lowest variance. Dominant marker-based h2 estimates were evidently downwards biased and showed poor correlation with those based on family records. In conclusion, the use of dominant molecular markers evidently produces much greater underestimates of h2 than from using co-dominant ones, attributable to the lower accuracy in the indirect estimation of relatedness coefficient. Many traits with enough genetic variability as to respond readily to selection would remain undetected; only those with very high heritability would show significant h2 estimates. © 2010 Springer-Verlag. Fil:Bessega, C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Saidman, B.O. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Darquier, M.R. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Vilardi, J.C. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2011 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_16142942_v7_n1_p103_Bessega http://hdl.handle.net/20.500.12110/paper_16142942_v7_n1_p103_Bessega
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Forest trees
Heritability
Leguminosae
Molecular markers
Prosopis alba
Quantitative traits
Relatedness
Fabaceae
Prosopis
Prosopis alba
spellingShingle Forest trees
Heritability
Leguminosae
Molecular markers
Prosopis alba
Quantitative traits
Relatedness
Fabaceae
Prosopis
Prosopis alba
Bessega, Cecilia Fabiana
Saidman, Beatriz Ofelia
Darquier, María Rosario
Vilardi, Juan Cesar
Accuracy of dominant markers for estimation of relatedness and heritability in an experimental stand of Prosopis alba (Leguminosae)
topic_facet Forest trees
Heritability
Leguminosae
Molecular markers
Prosopis alba
Quantitative traits
Relatedness
Fabaceae
Prosopis
Prosopis alba
description The estimation of genetic components of phenotypic variance is based on the resemblance between relatives. In natural populations of most forest tree species without genealogical information, a possible alternative approach is the use of relatedness estimates obtained indirectly from molecular marker data. Heritability (h2) is then estimated from the covariance of estimated relatedness and phenotypic resemblance. In a stand of Prosopis alba planted in 1991 in Argentina, relatedness was estimated for all individual pairs of trees by means of the information proceeding from 128 dominant markers (57 AFLPs and 71 ISSRs) and compared with estimates obtained from six microsatellite loci previously studied. We empirically compared the accuracy of different relatedness estimators based on dominant markers proposed by Lynch and Milligan (Mol Ecol 3:91-99, 1994), Hardy (Mol Ecol 12:1577-1588, 2003), Wang (Mol Ecol 13:3169-3178, 2004), and Ritland (Mol Ecol 14:3157-3165, 2005). Heritabilities of 13 quantitative traits were then estimated from the regression of pairwise phenotypic distances on pairwise relatedness according to Ritland (Genet Res 67:175-185, 1996a). Relatedness inferred from molecular markers was in all cases significantly correlated with actual relatedness, although Ritland's estimator showed the highest bias but the lowest variance. Dominant marker-based h2 estimates were evidently downwards biased and showed poor correlation with those based on family records. In conclusion, the use of dominant molecular markers evidently produces much greater underestimates of h2 than from using co-dominant ones, attributable to the lower accuracy in the indirect estimation of relatedness coefficient. Many traits with enough genetic variability as to respond readily to selection would remain undetected; only those with very high heritability would show significant h2 estimates. © 2010 Springer-Verlag.
author Bessega, Cecilia Fabiana
Saidman, Beatriz Ofelia
Darquier, María Rosario
Vilardi, Juan Cesar
author_facet Bessega, Cecilia Fabiana
Saidman, Beatriz Ofelia
Darquier, María Rosario
Vilardi, Juan Cesar
author_sort Bessega, Cecilia Fabiana
title Accuracy of dominant markers for estimation of relatedness and heritability in an experimental stand of Prosopis alba (Leguminosae)
title_short Accuracy of dominant markers for estimation of relatedness and heritability in an experimental stand of Prosopis alba (Leguminosae)
title_full Accuracy of dominant markers for estimation of relatedness and heritability in an experimental stand of Prosopis alba (Leguminosae)
title_fullStr Accuracy of dominant markers for estimation of relatedness and heritability in an experimental stand of Prosopis alba (Leguminosae)
title_full_unstemmed Accuracy of dominant markers for estimation of relatedness and heritability in an experimental stand of Prosopis alba (Leguminosae)
title_sort accuracy of dominant markers for estimation of relatedness and heritability in an experimental stand of prosopis alba (leguminosae)
publishDate 2011
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_16142942_v7_n1_p103_Bessega
http://hdl.handle.net/20.500.12110/paper_16142942_v7_n1_p103_Bessega
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