Genome-wide association study using historical breeding populations discovers genomic regions involved in high-quality rice.
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
2018 | |
MILLED RICE GENETIC SELECTION PLANT BREEDING FOOD GRAIN GENETIC VARIATION GENETICS RICE ORYZA SATIVA |
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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 |
_version_ | 1805580527728590848 |
---|---|
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 |
format | article |
id | INIAOAI_f01b9a9108500c9c3458f8ac09e1a888 |
instacron_str | Instituto Nacional de Investigación Agropecuaria |
institution | Instituto Nacional de Investigación Agropecuaria |
instname_str | Instituto Nacional de Investigación Agropecuaria |
language | eng |
language_invalid_str_mv | en |
network_acronym_str | INIAOAI |
network_name_str | AINFO |
oai_identifier_str | oai:redi.anii.org.uy:20.500.12381/723 |
publishDate | 2018 |
reponame_str | AINFO |
repository.mail.fl_str_mv | lorrego@inia.org.uy |
repository.name.fl_str_mv | AINFO - Instituto Nacional de Investigación Agropecuaria |
repository_id_str | |
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 |