An operational Bayesian approach for the identification of sexually reproduced cross-fertilized populations using molecular markers

Identification of an individual, clone or pure line with molecular markers is a simple matter, at least in theory. It involves having a sufficient number of reproducible markers to ensure that each of the genotypes corresponds to a unique genetic profile. When the operational taxonomic units (OTU) to be identified are allogamous populations, each of them corresponds to a series of genotypes for which it is impossible to make a list, but which can be characterized, for example, by allelic frequencies. Identification therefore has to be carried out in terms of probabilities. The method proposed consists in comparing the sample to be identified with a reference database consisting of a certain number of OTUs covering the species' diversity spectrum. The a priori information available on the sample can be exploited by taking a Bayesian approach. The limited size of the sample, and of the reference populations, is also taken into account. The result is the list of possible OTUs matched with probabilities of belonging. This approach was tested on 44 coconut cultivars represented by a total of 288 individuals (4 to 15 per cultivar), with 23 RFLP markers. The advantages offered by the method are optimum utilization of available information, good tolerance of missing data, easy interpretation, and the possibility of optimizing the size of the samples and the number of markers. Lastly, with a simple update of the database, the results obtained during the study can be used to their full advantage.

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Bibliographic Details
Main Authors: Baudouin, Luc, Lebrun, Patricia
Format: conference_item biblioteca
Language:eng
Published: ISHS
Subjects:F30 - Génétique et amélioration des plantes, F70 - Taxonomie végétale et phytogéographie, Cocos nucifera, taxonomie, variation génétique, méthode statistique, marqueur génétique, variété, RFLP, gène, http://aims.fao.org/aos/agrovoc/c_1716, http://aims.fao.org/aos/agrovoc/c_7631, http://aims.fao.org/aos/agrovoc/c_15975, http://aims.fao.org/aos/agrovoc/c_7377, http://aims.fao.org/aos/agrovoc/c_24030, http://aims.fao.org/aos/agrovoc/c_8157, http://aims.fao.org/aos/agrovoc/c_34255, http://aims.fao.org/aos/agrovoc/c_3214,
Online Access:http://agritrop.cirad.fr/485550/
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spelling dig-cirad-fr-4855502024-01-28T09:56:07Z http://agritrop.cirad.fr/485550/ http://agritrop.cirad.fr/485550/ An operational Bayesian approach for the identification of sexually reproduced cross-fertilized populations using molecular markers. Baudouin Luc, Lebrun Patricia. 2001. In : Proceedings of the International symposium on molecular markers for characterizing genotypes and identifying cultivars in horticulture, Montpellier, France, 6-8 March 2000. Doré C. (ed.), Dosba Françoise (ed.), Baril C. (ed.). ISHS, INRA, ENSAM, GEVES, Agropolis. Wageningen : ISHS, 81-93. (Acta Horticulturae, 546) ISBN 90-6605-764-5 International Symposium on Molecular Markers for Characterizing Genotypes and Identifying Cultivars in Horticulture. 1, Montpellier, France, 6 Mars 2000/8 Mars 2000. An operational Bayesian approach for the identification of sexually reproduced cross-fertilized populations using molecular markers Baudouin, Luc Lebrun, Patricia eng 2001 ISHS Proceedings of the International symposium on molecular markers for characterizing genotypes and identifying cultivars in horticulture, Montpellier, France, 6-8 March 2000 F30 - Génétique et amélioration des plantes F70 - Taxonomie végétale et phytogéographie Cocos nucifera taxonomie variation génétique méthode statistique marqueur génétique variété RFLP gène http://aims.fao.org/aos/agrovoc/c_1716 http://aims.fao.org/aos/agrovoc/c_7631 http://aims.fao.org/aos/agrovoc/c_15975 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_24030 http://aims.fao.org/aos/agrovoc/c_8157 http://aims.fao.org/aos/agrovoc/c_34255 http://aims.fao.org/aos/agrovoc/c_3214 Identification of an individual, clone or pure line with molecular markers is a simple matter, at least in theory. It involves having a sufficient number of reproducible markers to ensure that each of the genotypes corresponds to a unique genetic profile. When the operational taxonomic units (OTU) to be identified are allogamous populations, each of them corresponds to a series of genotypes for which it is impossible to make a list, but which can be characterized, for example, by allelic frequencies. Identification therefore has to be carried out in terms of probabilities. The method proposed consists in comparing the sample to be identified with a reference database consisting of a certain number of OTUs covering the species' diversity spectrum. The a priori information available on the sample can be exploited by taking a Bayesian approach. The limited size of the sample, and of the reference populations, is also taken into account. The result is the list of possible OTUs matched with probabilities of belonging. This approach was tested on 44 coconut cultivars represented by a total of 288 individuals (4 to 15 per cultivar), with 23 RFLP markers. The advantages offered by the method are optimum utilization of available information, good tolerance of missing data, easy interpretation, and the possibility of optimizing the size of the samples and the number of markers. Lastly, with a simple update of the database, the results obtained during the study can be used to their full advantage. conference_item info:eu-repo/semantics/conferenceObject Conference info:eu-repo/semantics/closedAccess http://catalogue-bibliotheques.cirad.fr/cgi-bin/koha/opac-detail.pl?biblionumber=169476
institution CIRAD FR
collection DSpace
country Francia
countrycode FR
component Bibliográfico
access En linea
databasecode dig-cirad-fr
tag biblioteca
region Europa del Oeste
libraryname Biblioteca del CIRAD Francia
language eng
topic F30 - Génétique et amélioration des plantes
F70 - Taxonomie végétale et phytogéographie
Cocos nucifera
taxonomie
variation génétique
méthode statistique
marqueur génétique
variété
RFLP
gène
http://aims.fao.org/aos/agrovoc/c_1716
http://aims.fao.org/aos/agrovoc/c_7631
http://aims.fao.org/aos/agrovoc/c_15975
http://aims.fao.org/aos/agrovoc/c_7377
http://aims.fao.org/aos/agrovoc/c_24030
http://aims.fao.org/aos/agrovoc/c_8157
http://aims.fao.org/aos/agrovoc/c_34255
http://aims.fao.org/aos/agrovoc/c_3214
F30 - Génétique et amélioration des plantes
F70 - Taxonomie végétale et phytogéographie
Cocos nucifera
taxonomie
variation génétique
méthode statistique
marqueur génétique
variété
RFLP
gène
http://aims.fao.org/aos/agrovoc/c_1716
http://aims.fao.org/aos/agrovoc/c_7631
http://aims.fao.org/aos/agrovoc/c_15975
http://aims.fao.org/aos/agrovoc/c_7377
http://aims.fao.org/aos/agrovoc/c_24030
http://aims.fao.org/aos/agrovoc/c_8157
http://aims.fao.org/aos/agrovoc/c_34255
http://aims.fao.org/aos/agrovoc/c_3214
spellingShingle F30 - Génétique et amélioration des plantes
F70 - Taxonomie végétale et phytogéographie
Cocos nucifera
taxonomie
variation génétique
méthode statistique
marqueur génétique
variété
RFLP
gène
http://aims.fao.org/aos/agrovoc/c_1716
http://aims.fao.org/aos/agrovoc/c_7631
http://aims.fao.org/aos/agrovoc/c_15975
http://aims.fao.org/aos/agrovoc/c_7377
http://aims.fao.org/aos/agrovoc/c_24030
http://aims.fao.org/aos/agrovoc/c_8157
http://aims.fao.org/aos/agrovoc/c_34255
http://aims.fao.org/aos/agrovoc/c_3214
F30 - Génétique et amélioration des plantes
F70 - Taxonomie végétale et phytogéographie
Cocos nucifera
taxonomie
variation génétique
méthode statistique
marqueur génétique
variété
RFLP
gène
http://aims.fao.org/aos/agrovoc/c_1716
http://aims.fao.org/aos/agrovoc/c_7631
http://aims.fao.org/aos/agrovoc/c_15975
http://aims.fao.org/aos/agrovoc/c_7377
http://aims.fao.org/aos/agrovoc/c_24030
http://aims.fao.org/aos/agrovoc/c_8157
http://aims.fao.org/aos/agrovoc/c_34255
http://aims.fao.org/aos/agrovoc/c_3214
Baudouin, Luc
Lebrun, Patricia
An operational Bayesian approach for the identification of sexually reproduced cross-fertilized populations using molecular markers
description Identification of an individual, clone or pure line with molecular markers is a simple matter, at least in theory. It involves having a sufficient number of reproducible markers to ensure that each of the genotypes corresponds to a unique genetic profile. When the operational taxonomic units (OTU) to be identified are allogamous populations, each of them corresponds to a series of genotypes for which it is impossible to make a list, but which can be characterized, for example, by allelic frequencies. Identification therefore has to be carried out in terms of probabilities. The method proposed consists in comparing the sample to be identified with a reference database consisting of a certain number of OTUs covering the species' diversity spectrum. The a priori information available on the sample can be exploited by taking a Bayesian approach. The limited size of the sample, and of the reference populations, is also taken into account. The result is the list of possible OTUs matched with probabilities of belonging. This approach was tested on 44 coconut cultivars represented by a total of 288 individuals (4 to 15 per cultivar), with 23 RFLP markers. The advantages offered by the method are optimum utilization of available information, good tolerance of missing data, easy interpretation, and the possibility of optimizing the size of the samples and the number of markers. Lastly, with a simple update of the database, the results obtained during the study can be used to their full advantage.
format conference_item
topic_facet F30 - Génétique et amélioration des plantes
F70 - Taxonomie végétale et phytogéographie
Cocos nucifera
taxonomie
variation génétique
méthode statistique
marqueur génétique
variété
RFLP
gène
http://aims.fao.org/aos/agrovoc/c_1716
http://aims.fao.org/aos/agrovoc/c_7631
http://aims.fao.org/aos/agrovoc/c_15975
http://aims.fao.org/aos/agrovoc/c_7377
http://aims.fao.org/aos/agrovoc/c_24030
http://aims.fao.org/aos/agrovoc/c_8157
http://aims.fao.org/aos/agrovoc/c_34255
http://aims.fao.org/aos/agrovoc/c_3214
author Baudouin, Luc
Lebrun, Patricia
author_facet Baudouin, Luc
Lebrun, Patricia
author_sort Baudouin, Luc
title An operational Bayesian approach for the identification of sexually reproduced cross-fertilized populations using molecular markers
title_short An operational Bayesian approach for the identification of sexually reproduced cross-fertilized populations using molecular markers
title_full An operational Bayesian approach for the identification of sexually reproduced cross-fertilized populations using molecular markers
title_fullStr An operational Bayesian approach for the identification of sexually reproduced cross-fertilized populations using molecular markers
title_full_unstemmed An operational Bayesian approach for the identification of sexually reproduced cross-fertilized populations using molecular markers
title_sort operational bayesian approach for the identification of sexually reproduced cross-fertilized populations using molecular markers
publisher ISHS
url http://agritrop.cirad.fr/485550/
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