Genetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markers

Detalhes bibliográficos
Autor(a) principal: Zeni Neto, Hugo
Data de Publicação: 2020
Outros Autores: Borsuk, Luiz Gustavo da Mata, Santos, Renato Frederico dos, Angeli, Henrique Sanches, Berton, Guilherme Souza, Sousa, Lorena Lopes de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta Scientiarum. Agronomy (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45088
Resumo: The success of sugarcane (Saccharum spp.) breeding programs depends on the choice of productive parent lines that have a high industrial yield and are genetically divergent. This study assessed the genetic divergence and population structure of sugarcane accessions that are the parents of the RB05 Series of the Sugarcane Breeding Program of Brazil. The DNA of 82 accessions was evaluated using 36 simple sequence repeat markers. The Jaccard similarity coefficient and Unweighted Pair Group Method with Arithmetic Mean clustering method were used to generate a cluster that was divided into 17 distinct groups derived from probabilistic models. The similarity coefficient used in both cases showed that the degree of similarity varied from 0.4716 (RB971551 x RB965586) to 0.9526 (RB936001 x SP89-1115), with a mean of 0.8536. This result demonstrates a high similarity between the 82 accessions and confirms Wright’s F statistic (0.125), which indicates moderate genetic variability. The less-similar crosses suggest that breeders seek a higher number of crosses using cultivar RB965586, highlighting the RB971551 x RB965586 and RB965586 x RB855511 crosses. The results demonstrate that crosses such as RB936001 x SP89-1115 and RB945954 x RB896342 should be avoided because of their high genetic similarity.
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spelling Genetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markersGenetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markerspolymorphism content; UPGMA; similarity; RB Series.polymorphism contentUPGMAsimilarityRB SeriesThe success of sugarcane (Saccharum spp.) breeding programs depends on the choice of productive parent lines that have a high industrial yield and are genetically divergent. This study assessed the genetic divergence and population structure of sugarcane accessions that are the parents of the RB05 Series of the Sugarcane Breeding Program of Brazil. The DNA of 82 accessions was evaluated using 36 simple sequence repeat markers. The Jaccard similarity coefficient and Unweighted Pair Group Method with Arithmetic Mean clustering method were used to generate a cluster that was divided into 17 distinct groups derived from probabilistic models. The similarity coefficient used in both cases showed that the degree of similarity varied from 0.4716 (RB971551 x RB965586) to 0.9526 (RB936001 x SP89-1115), with a mean of 0.8536. This result demonstrates a high similarity between the 82 accessions and confirms Wright’s F statistic (0.125), which indicates moderate genetic variability. The less-similar crosses suggest that breeders seek a higher number of crosses using cultivar RB965586, highlighting the RB971551 x RB965586 and RB965586 x RB855511 crosses. The results demonstrate that crosses such as RB936001 x SP89-1115 and RB945954 x RB896342 should be avoided because of their high genetic similarity.The success of sugarcane (Saccharum spp.) breeding programs depends on the choice of productive parent lines that have a high industrial yield and are genetically divergent. This study assessed the genetic divergence and population structure of sugarcane accessions that are the parents of the RB05 Series of the Sugarcane Breeding Program of Brazil. The DNA of 82 accessions was evaluated using 36 simple sequence repeat markers. The Jaccard similarity coefficient and Unweighted Pair Group Method with Arithmetic Mean clustering method were used to generate a cluster that was divided into 17 distinct groups derived from probabilistic models. The similarity coefficient used in both cases showed that the degree of similarity varied from 0.4716 (RB971551 x RB965586) to 0.9526 (RB936001 x SP89-1115), with a mean of 0.8536. This result demonstrates a high similarity between the 82 accessions and confirms Wright’s F statistic (0.125), which indicates moderate genetic variability. The less-similar crosses suggest that breeders seek a higher number of crosses using cultivar RB965586, highlighting the RB971551 x RB965586 and RB965586 x RB855511 crosses. The results demonstrate that crosses such as RB936001 x SP89-1115 and RB945954 x RB896342 should be avoided because of their high genetic similarity.Universidade Estadual de Maringá2020-04-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/4508810.4025/actasciagron.v42i1.45088Acta Scientiarum. Agronomy; Vol 42 (2020): Publicação contínua; e45088Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e450881807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45088/751375149835Copyright (c) 2020 Acta Scientiarum. Agronomyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessZeni Neto, Hugo Borsuk, Luiz Gustavo da Mata Santos, Renato Frederico dosAngeli, Henrique Sanches Berton, Guilherme Souza Sousa, Lorena Lopes de2021-06-07T18:00:36Zoai:periodicos.uem.br/ojs:article/45088Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2021-06-07T18:00:36Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Genetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markers
Genetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markers
title Genetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markers
spellingShingle Genetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markers
Zeni Neto, Hugo
polymorphism content; UPGMA; similarity; RB Series.
polymorphism content
UPGMA
similarity
RB Series
title_short Genetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markers
title_full Genetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markers
title_fullStr Genetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markers
title_full_unstemmed Genetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markers
title_sort Genetic diversity and population structure of sugarcane (Saccharum spp.) accessions by means of microsatellites markers
author Zeni Neto, Hugo
author_facet Zeni Neto, Hugo
Borsuk, Luiz Gustavo da Mata
Santos, Renato Frederico dos
Angeli, Henrique Sanches
Berton, Guilherme Souza
Sousa, Lorena Lopes de
author_role author
author2 Borsuk, Luiz Gustavo da Mata
Santos, Renato Frederico dos
Angeli, Henrique Sanches
Berton, Guilherme Souza
Sousa, Lorena Lopes de
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Zeni Neto, Hugo
Borsuk, Luiz Gustavo da Mata
Santos, Renato Frederico dos
Angeli, Henrique Sanches
Berton, Guilherme Souza
Sousa, Lorena Lopes de
dc.subject.por.fl_str_mv polymorphism content; UPGMA; similarity; RB Series.
polymorphism content
UPGMA
similarity
RB Series
topic polymorphism content; UPGMA; similarity; RB Series.
polymorphism content
UPGMA
similarity
RB Series
description The success of sugarcane (Saccharum spp.) breeding programs depends on the choice of productive parent lines that have a high industrial yield and are genetically divergent. This study assessed the genetic divergence and population structure of sugarcane accessions that are the parents of the RB05 Series of the Sugarcane Breeding Program of Brazil. The DNA of 82 accessions was evaluated using 36 simple sequence repeat markers. The Jaccard similarity coefficient and Unweighted Pair Group Method with Arithmetic Mean clustering method were used to generate a cluster that was divided into 17 distinct groups derived from probabilistic models. The similarity coefficient used in both cases showed that the degree of similarity varied from 0.4716 (RB971551 x RB965586) to 0.9526 (RB936001 x SP89-1115), with a mean of 0.8536. This result demonstrates a high similarity between the 82 accessions and confirms Wright’s F statistic (0.125), which indicates moderate genetic variability. The less-similar crosses suggest that breeders seek a higher number of crosses using cultivar RB965586, highlighting the RB971551 x RB965586 and RB965586 x RB855511 crosses. The results demonstrate that crosses such as RB936001 x SP89-1115 and RB945954 x RB896342 should be avoided because of their high genetic similarity.
publishDate 2020
dc.date.none.fl_str_mv 2020-04-03
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45088
10.4025/actasciagron.v42i1.45088
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45088
identifier_str_mv 10.4025/actasciagron.v42i1.45088
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/45088/751375149835
dc.rights.driver.fl_str_mv Copyright (c) 2020 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Acta Scientiarum. Agronomy
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual de Maringá
publisher.none.fl_str_mv Universidade Estadual de Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Agronomy; Vol 42 (2020): Publicação contínua; e45088
Acta Scientiarum. Agronomy; v. 42 (2020): Publicação contínua; e45088
1807-8621
1679-9275
reponame:Acta Scientiarum. Agronomy (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta Scientiarum. Agronomy (Online)
collection Acta Scientiarum. Agronomy (Online)
repository.name.fl_str_mv Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br
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