QTLs identification for characteristics of the root system in upland rice through DNA microarray
Autor(a) principal: | |
---|---|
Data de Publicação: | 2016 |
Outros Autores: | , , , , |
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. |
id |
UNSP_bb055a4bc0e36bad298460da4c4dabf3 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/159051 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
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:29462024-08-05T23:22:59.945262Repositório 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 |
|
_version_ |
1808129514178347008 |