QTLs identification for characteristics of the root system in upland rice through DNA microarray

Detalhes bibliográficos
Autor(a) principal: Rios Terra, Thiago Gledson
Data de Publicação: 2016
Outros Autores: Rodrigues, Haroldo Silva, Nakano Rangel, Paulo Hideo, Tomaz, Rafael Simoes [UNESP], Cruz, Cosme Damiao, Borem, Aluizio
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.4025/actasciagron.v38i4.30534
http://hdl.handle.net/11449/159051
Resumo: The aim of this work is the construction of a genetic map and identification of quantitative trait loci (QTLs) that control characteristics of the root system of rice. We evaluated a F-2:3 population composed of 150 families from the cross between the varieties IAC 165 x BRS Primavera. Genotyping was performed in the F-2 population using 3,742 SNP (Single Nucleotide Polymorphism) markers. The evaluation of the root system in the F-3 population was performed through a large-scale phenotyping method based on image generation with a CI-600 root scanner and on quantification through the WinRhizo (R) software. The experiment was arranged in a randomized block design with three replications performed under greenhouse. The variables analyzed were root length, root surface area and root volume at the depths of 5 to 25 cm and 25 to 45 cm. The SNP markers analysis allowed the construction of the genetic map with a full length of 1424 cM. The linkage group with the largest coverage area was number 3 with 270 cM (100 SNPs), followed by linkage group 1 with 249 cM (170 SNPs) and linkage group 2 with 163 cM (99 SNPs). The genetic analysis allowed the detection of QTLs for all the characteristics.
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spelling QTLs identification for characteristics of the root system in upland rice through DNA microarraygenomicOryza sativa L.DNA chipQTL mappingabiotic stressThe aim of this work is the construction of a genetic map and identification of quantitative trait loci (QTLs) that control characteristics of the root system of rice. We evaluated a F-2:3 population composed of 150 families from the cross between the varieties IAC 165 x BRS Primavera. Genotyping was performed in the F-2 population using 3,742 SNP (Single Nucleotide Polymorphism) markers. The evaluation of the root system in the F-3 population was performed through a large-scale phenotyping method based on image generation with a CI-600 root scanner and on quantification through the WinRhizo (R) software. The experiment was arranged in a randomized block design with three replications performed under greenhouse. The variables analyzed were root length, root surface area and root volume at the depths of 5 to 25 cm and 25 to 45 cm. The SNP markers analysis allowed the construction of the genetic map with a full length of 1424 cM. The linkage group with the largest coverage area was number 3 with 270 cM (100 SNPs), followed by linkage group 1 with 249 cM (170 SNPs) and linkage group 2 with 163 cM (99 SNPs). The genetic analysis allowed the detection of QTLs for all the characteristics.Univ Fed Tocantins, Gurupi, Tocantins, BrazilUniv Fed Vicosa, Dept Fitotecnia, Vicosa, MG, BrazilEmbrapa Arroz & Feijao, Santo Antonio De Goias, Go, BrazilUniv Estadual Paulista, Dracena, SP, BrazilUniv Fed Vicosa, Dept Biol Geral, Vicosa, MG, BrazilUniv Estadual Paulista, Dracena, SP, BrazilUniv Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacaoUniv Fed TocantinsUniversidade Federal de Viçosa (UFV)Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Universidade Estadual Paulista (Unesp)Rios Terra, Thiago GledsonRodrigues, Haroldo SilvaNakano Rangel, Paulo HideoTomaz, Rafael Simoes [UNESP]Cruz, Cosme DamiaoBorem, Aluizio2018-11-26T15:31:06Z2018-11-26T15:31:06Z2016-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article457-466application/pdfhttp://dx.doi.org/10.4025/actasciagron.v38i4.30534Acta Scientiarum-agronomy. Maringa: Univ Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacao, v. 38, n. 4, p. 457-466, 2016.1807-8621http://hdl.handle.net/11449/15905110.4025/actasciagron.v38i4.30534S1807-86212016000400457WOS:000382491400006S1807-86212016000400457.pdf76899010864052630000-0002-5700-5983Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengActa Scientiarum-agronomyinfo:eu-repo/semantics/openAccess2024-01-18T06:34:15Zoai:repositorio.unesp.br:11449/159051Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-01-18T06:34:15Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv QTLs identification for characteristics of the root system in upland rice through DNA microarray
title QTLs identification for characteristics of the root system in upland rice through DNA microarray
spellingShingle QTLs identification for characteristics of the root system in upland rice through DNA microarray
Rios Terra, Thiago Gledson
genomic
Oryza sativa L.
DNA chip
QTL mapping
abiotic stress
title_short QTLs identification for characteristics of the root system in upland rice through DNA microarray
title_full QTLs identification for characteristics of the root system in upland rice through DNA microarray
title_fullStr QTLs identification for characteristics of the root system in upland rice through DNA microarray
title_full_unstemmed QTLs identification for characteristics of the root system in upland rice through DNA microarray
title_sort QTLs identification for characteristics of the root system in upland rice through DNA microarray
author Rios Terra, Thiago Gledson
author_facet Rios Terra, Thiago Gledson
Rodrigues, Haroldo Silva
Nakano Rangel, Paulo Hideo
Tomaz, Rafael Simoes [UNESP]
Cruz, Cosme Damiao
Borem, Aluizio
author_role author
author2 Rodrigues, Haroldo Silva
Nakano Rangel, Paulo Hideo
Tomaz, Rafael Simoes [UNESP]
Cruz, Cosme Damiao
Borem, Aluizio
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Univ Fed Tocantins
Universidade Federal de Viçosa (UFV)
Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Rios Terra, Thiago Gledson
Rodrigues, Haroldo Silva
Nakano Rangel, Paulo Hideo
Tomaz, Rafael Simoes [UNESP]
Cruz, Cosme Damiao
Borem, Aluizio
dc.subject.por.fl_str_mv genomic
Oryza sativa L.
DNA chip
QTL mapping
abiotic stress
topic genomic
Oryza sativa L.
DNA chip
QTL mapping
abiotic stress
description The aim of this work is the construction of a genetic map and identification of quantitative trait loci (QTLs) that control characteristics of the root system of rice. We evaluated a F-2:3 population composed of 150 families from the cross between the varieties IAC 165 x BRS Primavera. Genotyping was performed in the F-2 population using 3,742 SNP (Single Nucleotide Polymorphism) markers. The evaluation of the root system in the F-3 population was performed through a large-scale phenotyping method based on image generation with a CI-600 root scanner and on quantification through the WinRhizo (R) software. The experiment was arranged in a randomized block design with three replications performed under greenhouse. The variables analyzed were root length, root surface area and root volume at the depths of 5 to 25 cm and 25 to 45 cm. The SNP markers analysis allowed the construction of the genetic map with a full length of 1424 cM. The linkage group with the largest coverage area was number 3 with 270 cM (100 SNPs), followed by linkage group 1 with 249 cM (170 SNPs) and linkage group 2 with 163 cM (99 SNPs). The genetic analysis allowed the detection of QTLs for all the characteristics.
publishDate 2016
dc.date.none.fl_str_mv 2016-10-01
2018-11-26T15:31:06Z
2018-11-26T15:31:06Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.4025/actasciagron.v38i4.30534
Acta Scientiarum-agronomy. Maringa: Univ Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacao, v. 38, n. 4, p. 457-466, 2016.
1807-8621
http://hdl.handle.net/11449/159051
10.4025/actasciagron.v38i4.30534
S1807-86212016000400457
WOS:000382491400006
S1807-86212016000400457.pdf
7689901086405263
0000-0002-5700-5983
url http://dx.doi.org/10.4025/actasciagron.v38i4.30534
http://hdl.handle.net/11449/159051
identifier_str_mv Acta Scientiarum-agronomy. Maringa: Univ Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacao, v. 38, n. 4, p. 457-466, 2016.
1807-8621
10.4025/actasciagron.v38i4.30534
S1807-86212016000400457
WOS:000382491400006
S1807-86212016000400457.pdf
7689901086405263
0000-0002-5700-5983
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Acta Scientiarum-agronomy
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 457-466
application/pdf
dc.publisher.none.fl_str_mv Univ Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacao
publisher.none.fl_str_mv Univ Estadual Maringa, Pro-reitoria Pesquisa Pos-graduacao
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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