Association between genetic distances in wheat (Triticum aestivum L.) as estimated by AFLP and morphological markers

Molecular and morphological data analyses matrices are very informative tools for the estimation of genetic distances. We used AFLP markers, morphological traits and combined analysis to estimate the genetic distances between wheat genotypes and ascertain any associations between the two techneques. Nineteen wheat (Triticum aestivum L.) genotypes were analyzed using amplified fragment length polymorphism (AFLP) markers and field evaluated for two years. The matrices obtained by morphological and molecular marker data analyses revealed a significant but moderate correlation (r = 0.47), indicating that such techniques sample distinct genome regions. The combined analysis was found to be highly correlated with AFLP (r = 0.97) and moderately correlated with morphological (r = 0.59) markers. A possible explanation for such results is a bias caused by the much higher number of AFLP (229) than morphological (17) markers. Thus, it is evident that the combined analysis is not efficient when a very dissimilar number of markers are used in each isolated technique. Therefore, to obtain a better knowledge of the degree of divergence among genotypes it is necessary to consider each analysis separately.

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Main Authors: Vieira,Eduardo Alano, Carvalho,Fernando Irajá Félix de, Bertan,Ivandro, Kopp,Mauricio Marini, Zimmer,Paulo Dejalma, Benin,Giovani, Silva,José Antônio Gonzalez da, Hartwig,Irineu, Malone,Gaspar, Oliveira,Antônio Costa de
Format: Digital revista
Language:English
Published: Sociedade Brasileira de Genética 2007
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572007000300016
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spelling oai:scielo:S1415-475720070003000162007-06-04Association between genetic distances in wheat (Triticum aestivum L.) as estimated by AFLP and morphological markersVieira,Eduardo AlanoCarvalho,Fernando Irajá Félix deBertan,IvandroKopp,Mauricio MariniZimmer,Paulo DejalmaBenin,GiovaniSilva,José Antônio Gonzalez daHartwig,IrineuMalone,GasparOliveira,Antônio Costa de reeding genetic divergence molecular markers morphological traits Molecular and morphological data analyses matrices are very informative tools for the estimation of genetic distances. We used AFLP markers, morphological traits and combined analysis to estimate the genetic distances between wheat genotypes and ascertain any associations between the two techneques. Nineteen wheat (Triticum aestivum L.) genotypes were analyzed using amplified fragment length polymorphism (AFLP) markers and field evaluated for two years. The matrices obtained by morphological and molecular marker data analyses revealed a significant but moderate correlation (r = 0.47), indicating that such techniques sample distinct genome regions. The combined analysis was found to be highly correlated with AFLP (r = 0.97) and moderately correlated with morphological (r = 0.59) markers. A possible explanation for such results is a bias caused by the much higher number of AFLP (229) than morphological (17) markers. Thus, it is evident that the combined analysis is not efficient when a very dissimilar number of markers are used in each isolated technique. Therefore, to obtain a better knowledge of the degree of divergence among genotypes it is necessary to consider each analysis separately.info:eu-repo/semantics/openAccessSociedade Brasileira de GenéticaGenetics and Molecular Biology v.30 n.2 20072007-03-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572007000300016en10.1590/S1415-47572007000300016
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country Brasil
countrycode BR
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databasecode rev-scielo-br
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region America del Sur
libraryname SciELO
language English
format Digital
author Vieira,Eduardo Alano
Carvalho,Fernando Irajá Félix de
Bertan,Ivandro
Kopp,Mauricio Marini
Zimmer,Paulo Dejalma
Benin,Giovani
Silva,José Antônio Gonzalez da
Hartwig,Irineu
Malone,Gaspar
Oliveira,Antônio Costa de
spellingShingle Vieira,Eduardo Alano
Carvalho,Fernando Irajá Félix de
Bertan,Ivandro
Kopp,Mauricio Marini
Zimmer,Paulo Dejalma
Benin,Giovani
Silva,José Antônio Gonzalez da
Hartwig,Irineu
Malone,Gaspar
Oliveira,Antônio Costa de
Association between genetic distances in wheat (Triticum aestivum L.) as estimated by AFLP and morphological markers
author_facet Vieira,Eduardo Alano
Carvalho,Fernando Irajá Félix de
Bertan,Ivandro
Kopp,Mauricio Marini
Zimmer,Paulo Dejalma
Benin,Giovani
Silva,José Antônio Gonzalez da
Hartwig,Irineu
Malone,Gaspar
Oliveira,Antônio Costa de
author_sort Vieira,Eduardo Alano
title Association between genetic distances in wheat (Triticum aestivum L.) as estimated by AFLP and morphological markers
title_short Association between genetic distances in wheat (Triticum aestivum L.) as estimated by AFLP and morphological markers
title_full Association between genetic distances in wheat (Triticum aestivum L.) as estimated by AFLP and morphological markers
title_fullStr Association between genetic distances in wheat (Triticum aestivum L.) as estimated by AFLP and morphological markers
title_full_unstemmed Association between genetic distances in wheat (Triticum aestivum L.) as estimated by AFLP and morphological markers
title_sort association between genetic distances in wheat (triticum aestivum l.) as estimated by aflp and morphological markers
description Molecular and morphological data analyses matrices are very informative tools for the estimation of genetic distances. We used AFLP markers, morphological traits and combined analysis to estimate the genetic distances between wheat genotypes and ascertain any associations between the two techneques. Nineteen wheat (Triticum aestivum L.) genotypes were analyzed using amplified fragment length polymorphism (AFLP) markers and field evaluated for two years. The matrices obtained by morphological and molecular marker data analyses revealed a significant but moderate correlation (r = 0.47), indicating that such techniques sample distinct genome regions. The combined analysis was found to be highly correlated with AFLP (r = 0.97) and moderately correlated with morphological (r = 0.59) markers. A possible explanation for such results is a bias caused by the much higher number of AFLP (229) than morphological (17) markers. Thus, it is evident that the combined analysis is not efficient when a very dissimilar number of markers are used in each isolated technique. Therefore, to obtain a better knowledge of the degree of divergence among genotypes it is necessary to consider each analysis separately.
publisher Sociedade Brasileira de Genética
publishDate 2007
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572007000300016
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