The genetic architecture of maize (Zea mays L.) kernel weight determination

Autores
Alvarez Prado, Santiago; Lopez, Cesar Gabriel; Lynn Senior, M; Borras, Lucas
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Individual kernel weight is an important trait for maize yield determination. We have identified genomic regions controlling this trait by using the B73xMo17 population; however, the effect of genetic background on control of this complex trait and its physiological components is not yet known. The objective of this study was to understand how genetic background affected our previous results. Two nested stable recombinant inbred line populations (N209xMo17 and R18xMo17) were designed for this purpose. A total of 408 recombinant inbred lines were genotyped and phenotyped at two environments for kernel weight and five other traits related to kernel growth and development. All traits showed very high and significant (P, 0.001) phenotypic variability and medium-to-high heritability (0.6020.90). When N209xMo17 and R18xMo17 were analyzed separately, a total of 23 environmentally stable quantitative trait loci (QTL) and five epistatic interactions were detected for N209xMo17. For R18xMo17, 59 environmentally stable QTL and 17 epistatic interactions were detected. A joint analysis detected 14 stable QTL regardless of the genetic background. Between 57 and 83% of detected QTL were population specific, denoting medium-to-high genetic background effects. This percentage was dependent on the trait. A meta-analysis including our previous B73xMo17 results identified five relevant genomic regions deserving further characterization. In summary, our grain filling traits were dominated by small additive QTL with several epistatic and few environmental interactions and medium-to-high genetic background effects. This study demonstrates that the number of detected QTL and additive effects for different physiologically related grain filling traits need to be understood relative to the specific germplasm.
Fil: Alvarez Prado, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina
Fil: Lopez, Cesar Gabriel. Universidad Nacional de Lomas de Zamora. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Lynn Senior, M. No especifíca;
Fil: Borras, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina
Materia
COMPLEX TRAITS
GENETIC BACKGROUND EFFECTS
GRAIN-FILLING DURATION
KERNEL GROWTH RATE
KERNEL WEIGHT
MULTIPARENT ADVANCED GENERATION INTER-CROSS (MAGIC)
MULTIPARENTAL POPULATIONS MPP
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/180606
Acceder
id CONICETDig_8adb4066dbe768588875e750c6a23cbd
oai_identifier_str oai:ri.conicet.gov.ar:11336/180606
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling The genetic architecture of maize (Zea mays L.) kernel weight determinationAlvarez Prado, SantiagoLopez, Cesar GabrielLynn Senior, MBorras, LucasCOMPLEX TRAITSGENETIC BACKGROUND EFFECTSGRAIN-FILLING DURATIONKERNEL GROWTH RATEKERNEL WEIGHTMULTIPARENT ADVANCED GENERATION INTER-CROSS (MAGIC)MULTIPARENTAL POPULATIONS MPPhttps://purl.org/becyt/ford/4.1https://purl.org/becyt/ford/4Individual kernel weight is an important trait for maize yield determination. We have identified genomic regions controlling this trait by using the B73xMo17 population; however, the effect of genetic background on control of this complex trait and its physiological components is not yet known. The objective of this study was to understand how genetic background affected our previous results. Two nested stable recombinant inbred line populations (N209xMo17 and R18xMo17) were designed for this purpose. A total of 408 recombinant inbred lines were genotyped and phenotyped at two environments for kernel weight and five other traits related to kernel growth and development. All traits showed very high and significant (P, 0.001) phenotypic variability and medium-to-high heritability (0.6020.90). When N209xMo17 and R18xMo17 were analyzed separately, a total of 23 environmentally stable quantitative trait loci (QTL) and five epistatic interactions were detected for N209xMo17. For R18xMo17, 59 environmentally stable QTL and 17 epistatic interactions were detected. A joint analysis detected 14 stable QTL regardless of the genetic background. Between 57 and 83% of detected QTL were population specific, denoting medium-to-high genetic background effects. This percentage was dependent on the trait. A meta-analysis including our previous B73xMo17 results identified five relevant genomic regions deserving further characterization. In summary, our grain filling traits were dominated by small additive QTL with several epistatic and few environmental interactions and medium-to-high genetic background effects. This study demonstrates that the number of detected QTL and additive effects for different physiologically related grain filling traits need to be understood relative to the specific germplasm.Fil: Alvarez Prado, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; ArgentinaFil: Lopez, Cesar Gabriel. Universidad Nacional de Lomas de Zamora. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Lynn Senior, M. No especifíca;Fil: Borras, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; ArgentinaGenetics Society of America2014-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/180606Alvarez Prado, Santiago; Lopez, Cesar Gabriel; Lynn Senior, M; Borras, Lucas; The genetic architecture of maize (Zea mays L.) kernel weight determination; Genetics Society of America; G3: Genes, Genomes, Genetics; 4; 9; 8-2014; 1611-16212160-1836CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/g3journal/article/4/9/1611/6025933info:eu-repo/semantics/altIdentifier/doi/10.1534/g3.114.013243info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-12T09:37:08Zoai:ri.conicet.gov.ar:11336/180606instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-11-12 09:37:09.273CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv The genetic architecture of maize (Zea mays L.) kernel weight determination
title The genetic architecture of maize (Zea mays L.) kernel weight determination
spellingShingle The genetic architecture of maize (Zea mays L.) kernel weight determination
Alvarez Prado, Santiago
COMPLEX TRAITS
GENETIC BACKGROUND EFFECTS
GRAIN-FILLING DURATION
KERNEL GROWTH RATE
KERNEL WEIGHT
MULTIPARENT ADVANCED GENERATION INTER-CROSS (MAGIC)
MULTIPARENTAL POPULATIONS MPP
title_short The genetic architecture of maize (Zea mays L.) kernel weight determination
title_full The genetic architecture of maize (Zea mays L.) kernel weight determination
title_fullStr The genetic architecture of maize (Zea mays L.) kernel weight determination
title_full_unstemmed The genetic architecture of maize (Zea mays L.) kernel weight determination
title_sort The genetic architecture of maize (Zea mays L.) kernel weight determination
dc.creator.none.fl_str_mv Alvarez Prado, Santiago
Lopez, Cesar Gabriel
Lynn Senior, M
Borras, Lucas
author Alvarez Prado, Santiago
author_facet Alvarez Prado, Santiago
Lopez, Cesar Gabriel
Lynn Senior, M
Borras, Lucas
author_role author
author2 Lopez, Cesar Gabriel
Lynn Senior, M
Borras, Lucas
author2_role author
author
author
dc.subject.none.fl_str_mv COMPLEX TRAITS
GENETIC BACKGROUND EFFECTS
GRAIN-FILLING DURATION
KERNEL GROWTH RATE
KERNEL WEIGHT
MULTIPARENT ADVANCED GENERATION INTER-CROSS (MAGIC)
MULTIPARENTAL POPULATIONS MPP
topic COMPLEX TRAITS
GENETIC BACKGROUND EFFECTS
GRAIN-FILLING DURATION
KERNEL GROWTH RATE
KERNEL WEIGHT
MULTIPARENT ADVANCED GENERATION INTER-CROSS (MAGIC)
MULTIPARENTAL POPULATIONS MPP
purl_subject.fl_str_mv https://purl.org/becyt/ford/4.1
https://purl.org/becyt/ford/4
dc.description.none.fl_txt_mv Individual kernel weight is an important trait for maize yield determination. We have identified genomic regions controlling this trait by using the B73xMo17 population; however, the effect of genetic background on control of this complex trait and its physiological components is not yet known. The objective of this study was to understand how genetic background affected our previous results. Two nested stable recombinant inbred line populations (N209xMo17 and R18xMo17) were designed for this purpose. A total of 408 recombinant inbred lines were genotyped and phenotyped at two environments for kernel weight and five other traits related to kernel growth and development. All traits showed very high and significant (P, 0.001) phenotypic variability and medium-to-high heritability (0.6020.90). When N209xMo17 and R18xMo17 were analyzed separately, a total of 23 environmentally stable quantitative trait loci (QTL) and five epistatic interactions were detected for N209xMo17. For R18xMo17, 59 environmentally stable QTL and 17 epistatic interactions were detected. A joint analysis detected 14 stable QTL regardless of the genetic background. Between 57 and 83% of detected QTL were population specific, denoting medium-to-high genetic background effects. This percentage was dependent on the trait. A meta-analysis including our previous B73xMo17 results identified five relevant genomic regions deserving further characterization. In summary, our grain filling traits were dominated by small additive QTL with several epistatic and few environmental interactions and medium-to-high genetic background effects. This study demonstrates that the number of detected QTL and additive effects for different physiologically related grain filling traits need to be understood relative to the specific germplasm.
Fil: Alvarez Prado, Santiago. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina
Fil: Lopez, Cesar Gabriel. Universidad Nacional de Lomas de Zamora. Facultad de Ciencias Agrarias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Lynn Senior, M. No especifíca;
Fil: Borras, Lucas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Agrarias; Argentina
description Individual kernel weight is an important trait for maize yield determination. We have identified genomic regions controlling this trait by using the B73xMo17 population; however, the effect of genetic background on control of this complex trait and its physiological components is not yet known. The objective of this study was to understand how genetic background affected our previous results. Two nested stable recombinant inbred line populations (N209xMo17 and R18xMo17) were designed for this purpose. A total of 408 recombinant inbred lines were genotyped and phenotyped at two environments for kernel weight and five other traits related to kernel growth and development. All traits showed very high and significant (P, 0.001) phenotypic variability and medium-to-high heritability (0.6020.90). When N209xMo17 and R18xMo17 were analyzed separately, a total of 23 environmentally stable quantitative trait loci (QTL) and five epistatic interactions were detected for N209xMo17. For R18xMo17, 59 environmentally stable QTL and 17 epistatic interactions were detected. A joint analysis detected 14 stable QTL regardless of the genetic background. Between 57 and 83% of detected QTL were population specific, denoting medium-to-high genetic background effects. This percentage was dependent on the trait. A meta-analysis including our previous B73xMo17 results identified five relevant genomic regions deserving further characterization. In summary, our grain filling traits were dominated by small additive QTL with several epistatic and few environmental interactions and medium-to-high genetic background effects. This study demonstrates that the number of detected QTL and additive effects for different physiologically related grain filling traits need to be understood relative to the specific germplasm.
publishDate 2014
dc.date.none.fl_str_mv 2014-08
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/180606
Alvarez Prado, Santiago; Lopez, Cesar Gabriel; Lynn Senior, M; Borras, Lucas; The genetic architecture of maize (Zea mays L.) kernel weight determination; Genetics Society of America; G3: Genes, Genomes, Genetics; 4; 9; 8-2014; 1611-1621
2160-1836
CONICET Digital
CONICET
url http://hdl.handle.net/11336/180606
identifier_str_mv Alvarez Prado, Santiago; Lopez, Cesar Gabriel; Lynn Senior, M; Borras, Lucas; The genetic architecture of maize (Zea mays L.) kernel weight determination; Genetics Society of America; G3: Genes, Genomes, Genetics; 4; 9; 8-2014; 1611-1621
2160-1836
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/g3journal/article/4/9/1611/6025933
info:eu-repo/semantics/altIdentifier/doi/10.1534/g3.114.013243
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Genetics Society of America
publisher.none.fl_str_mv Genetics Society of America
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1848597293743210496
score 12.976206

Publicaciones similares