Molecular characterization of yellow passion fruit genotypes with different yield and disease resistance levels
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Bioscience journal (Online) |
Texto Completo: | https://seer.ufu.br/index.php/biosciencejournal/article/view/39690 |
Resumo: | Brazil is the largest passion fruit producer in the world. However, the yield is still considered low, and the cultivation of unsuitable varieties is one of the factors directly influencing this trait. As a consequence, breeding studies have been developed with the purpose of obtaining genetic materials with high yield, high fruit quality, and disease resistance. The objective of this study was to characterize and quantify the genetic variability in 18 genotypes of yellow passion fruit (Passiflora edulis Sims) with different levels of yield and disease resistance, using RAPD markers. The RAPD markers were obtained from 10 decamer primers and converted into a matrix of binary data. Estimations of the genetic dissimilarities between different genotypes and cluster analysis were performed. A total of 58 markers were generated, 63.80% of which were polymorphic. The genetic distances among genotypes varied from 0.040 to 0.354 and genotypes were subdivided into at least 5 groups of similarity. The dispersion graphs showed a low clustering tendency for yield and resistance to different diseases (septoriosis, anthracnose, scab, bacterial spot, and passion fruit woodiness disease). These results demonstrate a high genetic variability among the evaluated genotypes, which is valuable information when selecting promising materials to be used per se or as parents in genetic breeding programs. |
id |
UFU-14_a5db68d0e9da073626fa050bcadd17b4 |
---|---|
oai_identifier_str |
oai:ojs.www.seer.ufu.br:article/39690 |
network_acronym_str |
UFU-14 |
network_name_str |
Bioscience journal (Online) |
repository_id_str |
|
spelling |
Molecular characterization of yellow passion fruit genotypes with different yield and disease resistance levels Caracterização molecular de genótipos de maracujazeiro azedo com diferentes níveis de produtividade e resistência a doençasPassiflora edulis SimsBreedingGenetic variabilityAgricultural SciencesBrazil is the largest passion fruit producer in the world. However, the yield is still considered low, and the cultivation of unsuitable varieties is one of the factors directly influencing this trait. As a consequence, breeding studies have been developed with the purpose of obtaining genetic materials with high yield, high fruit quality, and disease resistance. The objective of this study was to characterize and quantify the genetic variability in 18 genotypes of yellow passion fruit (Passiflora edulis Sims) with different levels of yield and disease resistance, using RAPD markers. The RAPD markers were obtained from 10 decamer primers and converted into a matrix of binary data. Estimations of the genetic dissimilarities between different genotypes and cluster analysis were performed. A total of 58 markers were generated, 63.80% of which were polymorphic. The genetic distances among genotypes varied from 0.040 to 0.354 and genotypes were subdivided into at least 5 groups of similarity. The dispersion graphs showed a low clustering tendency for yield and resistance to different diseases (septoriosis, anthracnose, scab, bacterial spot, and passion fruit woodiness disease). These results demonstrate a high genetic variability among the evaluated genotypes, which is valuable information when selecting promising materials to be used per se or as parents in genetic breeding programs.O Brasil é o maior produtor mundial de maracujá. Entretanto, a produtividade ainda é considerada baixa e o cultivo de variedades inadequadas é um dos fatores que influenciam diretamente esta característica. Comoconsequência, trabalhos de melhoramento genético tem sido desenvolvidos com a finalidade de obter materiais genéticos com alta produtividade, qualidade de frutos e resistência a doenças. Este trabalho objetivou caracterizar e quantificar a variabilidade genética em 18 genótipos de maracujazeiro azedo (Passiflora edulis Sims) com diferentes níveis de produtividade e resistência a doenças, utilizando marcadores moleculares RAPD. Os marcadores RAPD, obtidos por meio de 10 iniciadores decâmeros, foram convertidos em uma matriz de dados binários. Estimativas de dissimilaridades genéticas entre os diferentes genótipos e análises de agrupamento foram realizadas. Um total de 58 marcadores foram gerados, dos quais 63,80% foram polimórficos. As distâncias genéticas entre os genótipos variaram de 0,040 a 0,354 e os genótipos foram subdivididas em pelo menos 5 grupos de similaridade. Os gráficos de dispersão mostraram uma baixa tendência de agrupamento para produtividade e resistência à septoriose, antracnose, verrugose, bacteriose e virose do endurecimento dos frutos. Estes resultados demonstram uma alta variabilidade genética entre os genótipos estudados, que é uma informação valiosa para a seleção de materiais promissores para serem utilizados per se ou como parentais em programas de melhoramento genético.EDUFU2018-12-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.ufu.br/index.php/biosciencejournal/article/view/3969010.14393/BJ-v34n6a2018-39690Bioscience Journal ; Vol. 34 (2018): Supplement 1; 168-176Bioscience Journal ; v. 34 (2018): Supplement 1; 168-1761981-3163reponame:Bioscience journal (Online)instname:Universidade Federal de Uberlândia (UFU)instacron:UFUenghttps://seer.ufu.br/index.php/biosciencejournal/article/view/39690/24803Brazil; ContemporaryCopyright (c) 2018 Ana Paula Gomes de Castro, Anne Pinheiro Costa, José Ricardo Peixoto, Fábio Gelape Faleiro, Michelle de Souza Vilela, Wagner Vendramehttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessGomes de Castro, Ana PaulaPinheiro Costa, AnnePeixoto, José RicardoGelape Faleiro, FábioSouza Vilela, Michelle deVendrame, Wagner2022-03-23T17:52:57Zoai:ojs.www.seer.ufu.br:article/39690Revistahttps://seer.ufu.br/index.php/biosciencejournalPUBhttps://seer.ufu.br/index.php/biosciencejournal/oaibiosciencej@ufu.br||1981-31631516-3725opendoar:2022-03-23T17:52:57Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU)false |
dc.title.none.fl_str_mv |
Molecular characterization of yellow passion fruit genotypes with different yield and disease resistance levels Caracterização molecular de genótipos de maracujazeiro azedo com diferentes níveis de produtividade e resistência a doenças |
title |
Molecular characterization of yellow passion fruit genotypes with different yield and disease resistance levels |
spellingShingle |
Molecular characterization of yellow passion fruit genotypes with different yield and disease resistance levels Gomes de Castro, Ana Paula Passiflora edulis Sims Breeding Genetic variability Agricultural Sciences |
title_short |
Molecular characterization of yellow passion fruit genotypes with different yield and disease resistance levels |
title_full |
Molecular characterization of yellow passion fruit genotypes with different yield and disease resistance levels |
title_fullStr |
Molecular characterization of yellow passion fruit genotypes with different yield and disease resistance levels |
title_full_unstemmed |
Molecular characterization of yellow passion fruit genotypes with different yield and disease resistance levels |
title_sort |
Molecular characterization of yellow passion fruit genotypes with different yield and disease resistance levels |
author |
Gomes de Castro, Ana Paula |
author_facet |
Gomes de Castro, Ana Paula Pinheiro Costa, Anne Peixoto, José Ricardo Gelape Faleiro, Fábio Souza Vilela, Michelle de Vendrame, Wagner |
author_role |
author |
author2 |
Pinheiro Costa, Anne Peixoto, José Ricardo Gelape Faleiro, Fábio Souza Vilela, Michelle de Vendrame, Wagner |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Gomes de Castro, Ana Paula Pinheiro Costa, Anne Peixoto, José Ricardo Gelape Faleiro, Fábio Souza Vilela, Michelle de Vendrame, Wagner |
dc.subject.por.fl_str_mv |
Passiflora edulis Sims Breeding Genetic variability Agricultural Sciences |
topic |
Passiflora edulis Sims Breeding Genetic variability Agricultural Sciences |
description |
Brazil is the largest passion fruit producer in the world. However, the yield is still considered low, and the cultivation of unsuitable varieties is one of the factors directly influencing this trait. As a consequence, breeding studies have been developed with the purpose of obtaining genetic materials with high yield, high fruit quality, and disease resistance. The objective of this study was to characterize and quantify the genetic variability in 18 genotypes of yellow passion fruit (Passiflora edulis Sims) with different levels of yield and disease resistance, using RAPD markers. The RAPD markers were obtained from 10 decamer primers and converted into a matrix of binary data. Estimations of the genetic dissimilarities between different genotypes and cluster analysis were performed. A total of 58 markers were generated, 63.80% of which were polymorphic. The genetic distances among genotypes varied from 0.040 to 0.354 and genotypes were subdivided into at least 5 groups of similarity. The dispersion graphs showed a low clustering tendency for yield and resistance to different diseases (septoriosis, anthracnose, scab, bacterial spot, and passion fruit woodiness disease). These results demonstrate a high genetic variability among the evaluated genotypes, which is valuable information when selecting promising materials to be used per se or as parents in genetic breeding programs. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-06 |
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 |
https://seer.ufu.br/index.php/biosciencejournal/article/view/39690 10.14393/BJ-v34n6a2018-39690 |
url |
https://seer.ufu.br/index.php/biosciencejournal/article/view/39690 |
identifier_str_mv |
10.14393/BJ-v34n6a2018-39690 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://seer.ufu.br/index.php/biosciencejournal/article/view/39690/24803 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.coverage.none.fl_str_mv |
Brazil; Contemporary |
dc.publisher.none.fl_str_mv |
EDUFU |
publisher.none.fl_str_mv |
EDUFU |
dc.source.none.fl_str_mv |
Bioscience Journal ; Vol. 34 (2018): Supplement 1; 168-176 Bioscience Journal ; v. 34 (2018): Supplement 1; 168-176 1981-3163 reponame:Bioscience journal (Online) instname:Universidade Federal de Uberlândia (UFU) instacron:UFU |
instname_str |
Universidade Federal de Uberlândia (UFU) |
instacron_str |
UFU |
institution |
UFU |
reponame_str |
Bioscience journal (Online) |
collection |
Bioscience journal (Online) |
repository.name.fl_str_mv |
Bioscience journal (Online) - Universidade Federal de Uberlândia (UFU) |
repository.mail.fl_str_mv |
biosciencej@ufu.br|| |
_version_ |
1797069078605594624 |