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.
Main Authors: | , |
---|---|
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/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
dig-cirad-fr-485550 |
---|---|
record_format |
koha |
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/ |
work_keys_str_mv |
AT baudouinluc anoperationalbayesianapproachfortheidentificationofsexuallyreproducedcrossfertilizedpopulationsusingmolecularmarkers AT lebrunpatricia anoperationalbayesianapproachfortheidentificationofsexuallyreproducedcrossfertilizedpopulationsusingmolecularmarkers AT baudouinluc operationalbayesianapproachfortheidentificationofsexuallyreproducedcrossfertilizedpopulationsusingmolecularmarkers AT lebrunpatricia operationalbayesianapproachfortheidentificationofsexuallyreproducedcrossfertilizedpopulationsusingmolecularmarkers |
_version_ |
1792495127533453312 |