Genome-wide association study using historical breeding populations discovers genomic regions involved in high-quality rice.

QUERO, G. - GUTIÉRREZ, L. - MONTEVERDE, E. - BLANCO, P.H. - PÉREZ DE VIDA, F. - ROSAS, J.E. - FERNANDEZ, S. - GARAYCOCHEA, S. - MC COUCH, S. - BERBERIAN, N. - SIMONDI, S. - BONNECARRERE, V.

Resumen:

Abstract.Rice (Oryza sativa L.) is one of the most important staple food crops in the world; however, there has recently been a shift in consumer demand for higher grain quality. Therefore, understanding the genetic architecture of grain quality has become a key objective of rice breeding programs. Genomewide association studies (GWAS) using large diversity panels have successfully identified genomic regions associated with complex traits in diverse crop species. Our main objective was to identify genomic regions associated with grain quality and to identify and characterize favorable haplotypes for selection. We used two locally adapted rice breeding populations and historical phenotypic data for three rice quality traits: yield after milling, percentage of head rice recovery, and percentage of chalky grain. We detected 22 putative quantitative trait loci (QTL) in the same genomic regions as starch synthesis, starch metabolism, and cell wall synthesis-related genes are found. Additionally, we found a genomic region on chromosome 6 in the tropical japonica population that was associated with all quality traits and we identified favorable haplotypes. Furthermorethis region is linked to the OsBEI gene that codes for a starch branching enzyme I, which is implicated in starch granule formation. In tropical japonica, we also found two putative QTL linked to OsBEII, OsDEP1, and OsDEP2. Our study provides an insight into the genetic basis of rice grain chalkiness, yield after milling, and head rice, identifying favorable haplotypes and molecular markers for selection in breeding programs. © 2018 Crop Science Society of America


Detalles Bibliográficos
2018
MILLED RICE
GENETIC SELECTION
PLANT BREEDING
FOOD GRAIN
GENETIC VARIATION
GENETICS
RICE
ORYZA SATIVA
Inglés
Instituto Nacional de Investigación Agropecuaria
AINFO
http://www.ainfo.inia.uy/consulta/busca?b=pc&id=59613&biblioteca=vazio&busca=59613&qFacets=59613
Acceso abierto
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author QUERO, G.
author2 GUTIÉRREZ, L.
MONTEVERDE, E.
BLANCO, P.H.
PÉREZ DE VIDA, F.
ROSAS, J.E.
FERNANDEZ, S.
GARAYCOCHEA, S.
MC COUCH, S.
BERBERIAN, N.
SIMONDI, S.
BONNECARRERE, V.
author2_role author
author
author
author
author
author
author
author
author
author
author
author_facet QUERO, G.
GUTIÉRREZ, L.
MONTEVERDE, E.
BLANCO, P.H.
PÉREZ DE VIDA, F.
ROSAS, J.E.
FERNANDEZ, S.
GARAYCOCHEA, S.
MC COUCH, S.
BERBERIAN, N.
SIMONDI, S.
BONNECARRERE, V.
author_role author
bitstream.checksum.fl_str_mv 43a472e0966286a62102c42fb751b5bc
bitstream.checksumAlgorithm.fl_str_mv MD5
bitstream.url.fl_str_mv https://redi.anii.org.uy/jspui/bitstream/20.500.12381/723/1/sword-2022-10-20T22%3a12%3a52.original.xml
collection AINFO
dc.creator.none.fl_str_mv QUERO, G.
GUTIÉRREZ, L.
MONTEVERDE, E.
BLANCO, P.H.
PÉREZ DE VIDA, F.
ROSAS, J.E.
FERNANDEZ, S.
GARAYCOCHEA, S.
MC COUCH, S.
BERBERIAN, N.
SIMONDI, S.
BONNECARRERE, V.
dc.date.accessioned.none.fl_str_mv 2022-10-21T01:12:52Z
dc.date.available.none.fl_str_mv 2022-10-21T01:12:52Z
dc.date.issued.none.fl_str_mv 2018
dc.date.updated.none.fl_str_mv 2022-10-21T01:12:52Z
dc.description.abstract.none.fl_txt_mv Abstract.Rice (Oryza sativa L.) is one of the most important staple food crops in the world; however, there has recently been a shift in consumer demand for higher grain quality. Therefore, understanding the genetic architecture of grain quality has become a key objective of rice breeding programs. Genomewide association studies (GWAS) using large diversity panels have successfully identified genomic regions associated with complex traits in diverse crop species. Our main objective was to identify genomic regions associated with grain quality and to identify and characterize favorable haplotypes for selection. We used two locally adapted rice breeding populations and historical phenotypic data for three rice quality traits: yield after milling, percentage of head rice recovery, and percentage of chalky grain. We detected 22 putative quantitative trait loci (QTL) in the same genomic regions as starch synthesis, starch metabolism, and cell wall synthesis-related genes are found. Additionally, we found a genomic region on chromosome 6 in the tropical japonica population that was associated with all quality traits and we identified favorable haplotypes. Furthermorethis region is linked to the OsBEI gene that codes for a starch branching enzyme I, which is implicated in starch granule formation. In tropical japonica, we also found two putative QTL linked to OsBEII, OsDEP1, and OsDEP2. Our study provides an insight into the genetic basis of rice grain chalkiness, yield after milling, and head rice, identifying favorable haplotypes and molecular markers for selection in breeding programs. © 2018 Crop Science Society of America
dc.identifier.none.fl_str_mv http://www.ainfo.inia.uy/consulta/busca?b=pc&id=59613&biblioteca=vazio&busca=59613&qFacets=59613
dc.language.iso.none.fl_str_mv en
eng
dc.rights.es.fl_str_mv Acceso abierto
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:AINFO
instname:Instituto Nacional de Investigación Agropecuaria
instacron:Instituto Nacional de Investigación Agropecuaria
dc.subject.none.fl_str_mv MILLED RICE
GENETIC SELECTION
PLANT BREEDING
FOOD GRAIN
GENETIC VARIATION
GENETICS
RICE
ORYZA SATIVA
dc.title.none.fl_str_mv Genome-wide association study using historical breeding populations discovers genomic regions involved in high-quality rice.
dc.type.none.fl_str_mv Article
PublishedVersion
info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv info:eu-repo/semantics/publishedVersion
description Abstract.Rice (Oryza sativa L.) is one of the most important staple food crops in the world; however, there has recently been a shift in consumer demand for higher grain quality. Therefore, understanding the genetic architecture of grain quality has become a key objective of rice breeding programs. Genomewide association studies (GWAS) using large diversity panels have successfully identified genomic regions associated with complex traits in diverse crop species. Our main objective was to identify genomic regions associated with grain quality and to identify and characterize favorable haplotypes for selection. We used two locally adapted rice breeding populations and historical phenotypic data for three rice quality traits: yield after milling, percentage of head rice recovery, and percentage of chalky grain. We detected 22 putative quantitative trait loci (QTL) in the same genomic regions as starch synthesis, starch metabolism, and cell wall synthesis-related genes are found. Additionally, we found a genomic region on chromosome 6 in the tropical japonica population that was associated with all quality traits and we identified favorable haplotypes. Furthermorethis region is linked to the OsBEI gene that codes for a starch branching enzyme I, which is implicated in starch granule formation. In tropical japonica, we also found two putative QTL linked to OsBEII, OsDEP1, and OsDEP2. Our study provides an insight into the genetic basis of rice grain chalkiness, yield after milling, and head rice, identifying favorable haplotypes and molecular markers for selection in breeding programs. © 2018 Crop Science Society of America
eu_rights_str_mv openAccess
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rights_invalid_str_mv Acceso abierto
spelling 2022-10-21T01:12:52Z2022-10-21T01:12:52Z20182022-10-21T01:12:52Zhttp://www.ainfo.inia.uy/consulta/busca?b=pc&id=59613&biblioteca=vazio&busca=59613&qFacets=59613Abstract.Rice (Oryza sativa L.) is one of the most important staple food crops in the world; however, there has recently been a shift in consumer demand for higher grain quality. Therefore, understanding the genetic architecture of grain quality has become a key objective of rice breeding programs. Genomewide association studies (GWAS) using large diversity panels have successfully identified genomic regions associated with complex traits in diverse crop species. Our main objective was to identify genomic regions associated with grain quality and to identify and characterize favorable haplotypes for selection. We used two locally adapted rice breeding populations and historical phenotypic data for three rice quality traits: yield after milling, percentage of head rice recovery, and percentage of chalky grain. We detected 22 putative quantitative trait loci (QTL) in the same genomic regions as starch synthesis, starch metabolism, and cell wall synthesis-related genes are found. Additionally, we found a genomic region on chromosome 6 in the tropical japonica population that was associated with all quality traits and we identified favorable haplotypes. Furthermorethis region is linked to the OsBEI gene that codes for a starch branching enzyme I, which is implicated in starch granule formation. In tropical japonica, we also found two putative QTL linked to OsBEII, OsDEP1, and OsDEP2. Our study provides an insight into the genetic basis of rice grain chalkiness, yield after milling, and head rice, identifying favorable haplotypes and molecular markers for selection in breeding programs. © 2018 Crop Science Society of Americahttps://hdl.handle.net/20.500.12381/723enenginfo:eu-repo/semantics/openAccessAcceso abiertoMILLED RICEGENETIC SELECTIONPLANT BREEDINGFOOD GRAINGENETIC VARIATIONGENETICSRICEORYZA SATIVAGenome-wide association study using historical breeding populations discovers genomic regions involved in high-quality rice.ArticlePublishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionreponame:AINFOinstname:Instituto Nacional de Investigación Agropecuariainstacron:Instituto Nacional de Investigación AgropecuariaQUERO, G.GUTIÉRREZ, L.MONTEVERDE, E.BLANCO, P.H.PÉREZ DE VIDA, F.ROSAS, J.E.FERNANDEZ, S.GARAYCOCHEA, S.MC COUCH, S.BERBERIAN, N.SIMONDI, S.BONNECARRERE, V.SWORDsword-2022-10-20T22:12:52.original.xmlOriginal SWORD entry documentapplication/octet-stream3344https://redi.anii.org.uy/jspui/bitstream/20.500.12381/723/1/sword-2022-10-20T22%3a12%3a52.original.xml43a472e0966286a62102c42fb751b5bcMD5120.500.12381/7232022-10-20 22:12:52.881oai:redi.anii.org.uy:20.500.12381/723Gobiernohttp://inia.uyhttps://redi.anii.org.uy/oai/requestlorrego@inia.org.uyUruguayopendoar:2022-10-21T01:12:52AINFO - Instituto Nacional de Investigación Agropecuariafalse
spellingShingle Genome-wide association study using historical breeding populations discovers genomic regions involved in high-quality rice.
QUERO, G.
MILLED RICE
GENETIC SELECTION
PLANT BREEDING
FOOD GRAIN
GENETIC VARIATION
GENETICS
RICE
ORYZA SATIVA
status_str publishedVersion
title Genome-wide association study using historical breeding populations discovers genomic regions involved in high-quality rice.
title_full Genome-wide association study using historical breeding populations discovers genomic regions involved in high-quality rice.
title_fullStr Genome-wide association study using historical breeding populations discovers genomic regions involved in high-quality rice.
title_full_unstemmed Genome-wide association study using historical breeding populations discovers genomic regions involved in high-quality rice.
title_short Genome-wide association study using historical breeding populations discovers genomic regions involved in high-quality rice.
title_sort Genome-wide association study using historical breeding populations discovers genomic regions involved in high-quality rice.
topic MILLED RICE
GENETIC SELECTION
PLANT BREEDING
FOOD GRAIN
GENETIC VARIATION
GENETICS
RICE
ORYZA SATIVA
url http://www.ainfo.inia.uy/consulta/busca?b=pc&id=59613&biblioteca=vazio&busca=59613&qFacets=59613