A novel statistical method for assessing SSR variation in autotetraploid alfalfa (Medicago sativa L.)

Detalhes bibliográficos
Autor(a) principal: Liu,Zhi-Peng
Data de Publicação: 2007
Outros Autores: Liu,Gong-She, Yang,Qing-Chuan
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=S1415-47572007000300015
Resumo: The level of variation of simple sequence repeat (SSR) markers in cultivated alfalfa from American, Australian and Chinese sources was evaluated using a novel autotetraploid statistical method to calculate the effective number of alleles, the allele frequencies and heterozygosity. We used 19 SSR primers to screen seven polymorphic SSR loci in 320 plants from eight populations. The genetic distance and phylogenetic analysis (DISPAN) program was used to calculate the inter- and intra-population genetic relationships using the conventional binary absence/presence (0/1) method and our novel autotetraploid method. The autotetraploid method resulted in significantly higher heterozygosity (p < 0.01), average effective number (p < 0.01) and lower standard genetic distance (p < 0.01) than the binary method. Our results suggest that our new autotetraploid method is a very useful tool for assessing genetic variation and genetic relationships in all autotetraploid plant species.
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spelling A novel statistical method for assessing SSR variation in autotetraploid alfalfa (Medicago sativa L.)autotetraploidgenetic variationMedicago sativa L.SSRstatistical geneticsThe level of variation of simple sequence repeat (SSR) markers in cultivated alfalfa from American, Australian and Chinese sources was evaluated using a novel autotetraploid statistical method to calculate the effective number of alleles, the allele frequencies and heterozygosity. We used 19 SSR primers to screen seven polymorphic SSR loci in 320 plants from eight populations. The genetic distance and phylogenetic analysis (DISPAN) program was used to calculate the inter- and intra-population genetic relationships using the conventional binary absence/presence (0/1) method and our novel autotetraploid method. The autotetraploid method resulted in significantly higher heterozygosity (p < 0.01), average effective number (p < 0.01) and lower standard genetic distance (p < 0.01) than the binary method. Our results suggest that our new autotetraploid method is a very useful tool for assessing genetic variation and genetic relationships in all autotetraploid plant species.Sociedade Brasileira de Genética2007-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572007000300015Genetics and Molecular Biology v.30 n.2 2007reponame:Genetics and Molecular Biologyinstname:Sociedade Brasileira de Genética (SBG)instacron:SBG10.1590/S1415-47572007000300015info:eu-repo/semantics/openAccessLiu,Zhi-PengLiu,Gong-SheYang,Qing-Chuaneng2007-06-04T00:00:00Zoai:scielo:S1415-47572007000300015Revistahttp://www.gmb.org.br/ONGhttps://old.scielo.br/oai/scielo-oai.php||editor@gmb.org.br1678-46851415-4757opendoar:2007-06-04T00:00Genetics and Molecular Biology - Sociedade Brasileira de Genética (SBG)false
dc.title.none.fl_str_mv A novel statistical method for assessing SSR variation in autotetraploid alfalfa (Medicago sativa L.)
title A novel statistical method for assessing SSR variation in autotetraploid alfalfa (Medicago sativa L.)
spellingShingle A novel statistical method for assessing SSR variation in autotetraploid alfalfa (Medicago sativa L.)
Liu,Zhi-Peng
autotetraploid
genetic variation
Medicago sativa L.
SSR
statistical genetics
title_short A novel statistical method for assessing SSR variation in autotetraploid alfalfa (Medicago sativa L.)
title_full A novel statistical method for assessing SSR variation in autotetraploid alfalfa (Medicago sativa L.)
title_fullStr A novel statistical method for assessing SSR variation in autotetraploid alfalfa (Medicago sativa L.)
title_full_unstemmed A novel statistical method for assessing SSR variation in autotetraploid alfalfa (Medicago sativa L.)
title_sort A novel statistical method for assessing SSR variation in autotetraploid alfalfa (Medicago sativa L.)
author Liu,Zhi-Peng
author_facet Liu,Zhi-Peng
Liu,Gong-She
Yang,Qing-Chuan
author_role author
author2 Liu,Gong-She
Yang,Qing-Chuan
author2_role author
author
dc.contributor.author.fl_str_mv Liu,Zhi-Peng
Liu,Gong-She
Yang,Qing-Chuan
dc.subject.por.fl_str_mv autotetraploid
genetic variation
Medicago sativa L.
SSR
statistical genetics
topic autotetraploid
genetic variation
Medicago sativa L.
SSR
statistical genetics
description The level of variation of simple sequence repeat (SSR) markers in cultivated alfalfa from American, Australian and Chinese sources was evaluated using a novel autotetraploid statistical method to calculate the effective number of alleles, the allele frequencies and heterozygosity. We used 19 SSR primers to screen seven polymorphic SSR loci in 320 plants from eight populations. The genetic distance and phylogenetic analysis (DISPAN) program was used to calculate the inter- and intra-population genetic relationships using the conventional binary absence/presence (0/1) method and our novel autotetraploid method. The autotetraploid method resulted in significantly higher heterozygosity (p < 0.01), average effective number (p < 0.01) and lower standard genetic distance (p < 0.01) than the binary method. Our results suggest that our new autotetraploid method is a very useful tool for assessing genetic variation and genetic relationships in all autotetraploid plant species.
publishDate 2007
dc.date.none.fl_str_mv 2007-03-01
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=S1415-47572007000300015
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572007000300015
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1415-47572007000300015
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.30 n.2 2007
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
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