Hypothesis testing of genetic similarity based on RAPD data using Mantel tests and model matrices
Autor(a) principal: | |
---|---|
Data de Publicação: | 2002 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Genetics and Molecular Biology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572002000400013 |
Resumo: | Clustering and ordination procedures in multivariate analyses have been widely used to describe patterns of genetic distances. However, in some cases, such as when dealing with Jaccard coefficients based on RAPD data, these techniques may fail to represent genetic distances because of the high dimensionality of the genetic distances caused by stochastic variation in DNA fragments among the units analyzed (species or populations). In this note, we show how Mantel tests can be used to test hypotheses about genetic distances and avoid problems with multivariate data representation. The procedure is illustrated with RAPD data comparing 20 anuran species from the cerrado, in which Jaccard genetic distances were compared to three model matrices linking the species at distinct taxonomic levels. |
id |
SBG-1_8866de5c1b21528e977b7aeb7ff39f27 |
---|---|
oai_identifier_str |
oai:scielo:S1415-47572002000400013 |
network_acronym_str |
SBG-1 |
network_name_str |
Genetics and Molecular Biology |
repository_id_str |
|
spelling |
Hypothesis testing of genetic similarity based on RAPD data using Mantel tests and model matricesAnuraclusteringgenetic distancesMantel testRAPDClustering and ordination procedures in multivariate analyses have been widely used to describe patterns of genetic distances. However, in some cases, such as when dealing with Jaccard coefficients based on RAPD data, these techniques may fail to represent genetic distances because of the high dimensionality of the genetic distances caused by stochastic variation in DNA fragments among the units analyzed (species or populations). In this note, we show how Mantel tests can be used to test hypotheses about genetic distances and avoid problems with multivariate data representation. The procedure is illustrated with RAPD data comparing 20 anuran species from the cerrado, in which Jaccard genetic distances were compared to three model matrices linking the species at distinct taxonomic levels.Sociedade Brasileira de Genética2002-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572002000400013Genetics and Molecular Biology v.25 n.4 2002reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/S1415-47572002000400013info:eu-repo/semantics/openAccessRodrigues,Flávia MeloDiniz-Filho,José Alexandre FelizolaBataus,Luiz Artur MendesBastos,Rogério Pereiraeng2003-03-12T00:00:00Zoai:scielo:S1415-47572002000400013Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2003-03-12T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false |
dc.title.none.fl_str_mv |
Hypothesis testing of genetic similarity based on RAPD data using Mantel tests and model matrices |
title |
Hypothesis testing of genetic similarity based on RAPD data using Mantel tests and model matrices |
spellingShingle |
Hypothesis testing of genetic similarity based on RAPD data using Mantel tests and model matrices Rodrigues,Flávia Melo Anura clustering genetic distances Mantel test RAPD |
title_short |
Hypothesis testing of genetic similarity based on RAPD data using Mantel tests and model matrices |
title_full |
Hypothesis testing of genetic similarity based on RAPD data using Mantel tests and model matrices |
title_fullStr |
Hypothesis testing of genetic similarity based on RAPD data using Mantel tests and model matrices |
title_full_unstemmed |
Hypothesis testing of genetic similarity based on RAPD data using Mantel tests and model matrices |
title_sort |
Hypothesis testing of genetic similarity based on RAPD data using Mantel tests and model matrices |
author |
Rodrigues,Flávia Melo |
author_facet |
Rodrigues,Flávia Melo Diniz-Filho,José Alexandre Felizola Bataus,Luiz Artur Mendes Bastos,Rogério Pereira |
author_role |
author |
author2 |
Diniz-Filho,José Alexandre Felizola Bataus,Luiz Artur Mendes Bastos,Rogério Pereira |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Rodrigues,Flávia Melo Diniz-Filho,José Alexandre Felizola Bataus,Luiz Artur Mendes Bastos,Rogério Pereira |
dc.subject.por.fl_str_mv |
Anura clustering genetic distances Mantel test RAPD |
topic |
Anura clustering genetic distances Mantel test RAPD |
description |
Clustering and ordination procedures in multivariate analyses have been widely used to describe patterns of genetic distances. However, in some cases, such as when dealing with Jaccard coefficients based on RAPD data, these techniques may fail to represent genetic distances because of the high dimensionality of the genetic distances caused by stochastic variation in DNA fragments among the units analyzed (species or populations). In this note, we show how Mantel tests can be used to test hypotheses about genetic distances and avoid problems with multivariate data representation. The procedure is illustrated with RAPD data comparing 20 anuran species from the cerrado, in which Jaccard genetic distances were compared to three model matrices linking the species at distinct taxonomic levels. |
publishDate |
2002 |
dc.date.none.fl_str_mv |
2002-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572002000400013 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572002000400013 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1415-47572002000400013 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
publisher.none.fl_str_mv |
Sociedade Brasileira de Genética |
dc.source.none.fl_str_mv |
Genetics and Molecular Biology v.25 n.4 2002 reponame:Genetics and Molecular Biology instname:Sociedade Brasileira de Genética (SBG) instacron:SBG |
instname_str |
Sociedade Brasileira de Genética (SBG) |
instacron_str |
SBG |
institution |
SBG |
reponame_str |
Genetics and Molecular Biology |
collection |
Genetics and Molecular Biology |
repository.name.fl_str_mv |
Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG) |
repository.mail.fl_str_mv |
||editor@gmb.org.br |
_version_ |
1752122378558636032 |