Publicação
Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour
| Resumo: | Background: Maize is a crop in high demand for food purposes and consumers worldwide are increasingly concerned with food quality. However, breeding for improved quality is a complex task and therefore developing tools to select for better quality products is of great importance. Kernel composition, flour pasting behavior, and flour particle size have been previously identified as crucial for maize-based food quality. In this work we carried out a genome-wide association study to identify genomic regions controlling compositional and pasting properties of maize wholemeal flour. Results: A collection of 132 diverse inbred lines, with a considerable representation of the food used Portuguese unique germplasm, was trialed during two seasons, and harvested samples characterized for main compositional traits, flour pasting parameters and mean particle size. The collection was genotyped with the MaizeSNP50 array. SNP-trait associations were tested using a mixed linear model accounting for genetic relatedness. Fifty-seven genomic regions were identified, associated with the 11 different quality-related traits evaluated. Regions controlling multiple traits were detected and potential candidate genes identified. As an example, for two viscosity parameters that reflect the capacity of the starch to absorb water and swell, the strongest common associated region was located near the dull endosperm 1 gene that encodes a starch synthase and is determinant on the starch endosperm structure in maize. Conclusions: This study allowed for identifying relevant regions on the maize genome affecting maize kernel composition and flour pasting behavior, candidate genes for the majority of the quality-associated genomic regions, or the most promising target regions to develop molecular tools to increase efficacy and efficiency of quality traits selection (such as "breadability") within maize breeding programs. |
|---|---|
| Autores principais: | Alves, Mara Lisa |
| Outros Autores: | Carbas, Bruna; Gaspar, Daniel; Paulo, Manuel; Brites, Cláudia; Mendes-Moreira, Pedro; Brites, Carla Moita; Malosetti, Marcos; Van Eeuwijk, Fred; Vaz Patto, Maria Carlota |
| Assunto: | Bread Candidate genes Nutritional quality Pasting behavior Plant breeding Portuguese maize germplasm Zea mays L. Plant Science |
| Ano: | 2019 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| _version_ | 1865920626030542848 |
|---|---|
| author | Alves, Mara Lisa |
| author2 | Carbas, Bruna Gaspar, Daniel Paulo, Manuel Brites, Cláudia Mendes-Moreira, Pedro Brites, Carla Moita Malosetti, Marcos Van Eeuwijk, Fred Vaz Patto, Maria Carlota |
| author2_role | author author author author author author author author author |
| author_facet | Alves, Mara Lisa Alves, Mara Lisa Carbas, Bruna Gaspar, Daniel Paulo, Manuel Brites, Cláudia Mendes-Moreira, Pedro Brites, Carla Moita Malosetti, Marcos Van Eeuwijk, Fred Vaz Patto, Maria Carlota Carbas, Bruna Gaspar, Daniel Paulo, Manuel Brites, Cláudia Mendes-Moreira, Pedro Brites, Carla Moita Malosetti, Marcos Van Eeuwijk, Fred Vaz Patto, Maria Carlota |
| author_role | author |
| contributor_name_str_mv | Instituto de Tecnologia Química e Biológica António Xavier (ITQB) BioMed Central (BMC) RUN |
| country_str | PT |
| creators_json_str | [{\"Person.name\":\"Alves, Mara Lisa\"},{\"Person.name\":\"Carbas, Bruna\"},{\"Person.name\":\"Gaspar, Daniel\"},{\"Person.name\":\"Paulo, Manuel\"},{\"Person.name\":\"Brites, Cláudia\"},{\"Person.name\":\"Mendes-Moreira, Pedro\"},{\"Person.name\":\"Brites, Carla Moita\"},{\"Person.name\":\"Malosetti, Marcos\"},{\"Person.name\":\"Van Eeuwijk, Fred\"},{\"Person.name\":\"Vaz Patto, Maria Carlota\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Instituto de Tecnologia Química e Biológica António Xavier (ITQB) BioMed Central (BMC) RUN |
| datacite.creators.creator.creatorName.fl_str_mv | Alves, Mara Lisa Carbas, Bruna Gaspar, Daniel Paulo, Manuel Brites, Cláudia Mendes-Moreira, Pedro Brites, Carla Moita Malosetti, Marcos Van Eeuwijk, Fred Vaz Patto, Maria Carlota |
| datacite.date.Accepted.fl_str_mv | 2019-04-02T00:00:00Z |
| datacite.date.available.fl_str_mv | 2020-04-15T22:37:22Z |
| datacite.date.embargoed.fl_str_mv | 2020-04-15T22:37:22Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Bread Candidate genes Nutritional quality Pasting behavior Plant breeding Portuguese maize germplasm Zea mays L. Plant Science |
| datacite.titles.title.fl_str_mv | Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour |
| dc.contributor.none.fl_str_mv | Instituto de Tecnologia Química e Biológica António Xavier (ITQB) BioMed Central (BMC) RUN |
| dc.creator.none.fl_str_mv | Alves, Mara Lisa Carbas, Bruna Gaspar, Daniel Paulo, Manuel Brites, Cláudia Mendes-Moreira, Pedro Brites, Carla Moita Malosetti, Marcos Van Eeuwijk, Fred Vaz Patto, Maria Carlota |
| dc.date.Accepted.fl_str_mv | 2019-04-02T00:00:00Z |
| dc.date.available.fl_str_mv | 2020-04-15T22:37:22Z |
| dc.date.embargoed.fl_str_mv | 2020-04-15T22:37:22Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10362/96257 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Bread Candidate genes Nutritional quality Pasting behavior Plant breeding Portuguese maize germplasm Zea mays L. Plant Science |
| dc.title.fl_str_mv | Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | Background: Maize is a crop in high demand for food purposes and consumers worldwide are increasingly concerned with food quality. However, breeding for improved quality is a complex task and therefore developing tools to select for better quality products is of great importance. Kernel composition, flour pasting behavior, and flour particle size have been previously identified as crucial for maize-based food quality. In this work we carried out a genome-wide association study to identify genomic regions controlling compositional and pasting properties of maize wholemeal flour. Results: A collection of 132 diverse inbred lines, with a considerable representation of the food used Portuguese unique germplasm, was trialed during two seasons, and harvested samples characterized for main compositional traits, flour pasting parameters and mean particle size. The collection was genotyped with the MaizeSNP50 array. SNP-trait associations were tested using a mixed linear model accounting for genetic relatedness. Fifty-seven genomic regions were identified, associated with the 11 different quality-related traits evaluated. Regions controlling multiple traits were detected and potential candidate genes identified. As an example, for two viscosity parameters that reflect the capacity of the starch to absorb water and swell, the strongest common associated region was located near the dull endosperm 1 gene that encodes a starch synthase and is determinant on the starch endosperm structure in maize. Conclusions: This study allowed for identifying relevant regions on the maize genome affecting maize kernel composition and flour pasting behavior, candidate genes for the majority of the quality-associated genomic regions, or the most promising target regions to develop molecular tools to increase efficacy and efficiency of quality traits selection (such as "breadability") within maize breeding programs. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://run.unl.pt/bitstreams/9ee8f229-6a46-483c-80f1-3a36e27347f6/download |
| id | run_e31c00a6542e7de0946cd4b986deadc6 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10362/96257 |
| instacron_str | unl |
| institution | Universidade Nova de Lisboa |
| instname_str | Universidade Nova de Lisboa |
| language | eng |
| network_acronym_str | run |
| network_name_str | Repositório Institucional da UNL |
| oai_identifier_str | oai:run.unl.pt:10362/96257 |
| organization_str_mv | urn:organizationAcronym:unl |
| person_str_mv | Alves, Mara Lisa Carbas, Bruna Gaspar, Daniel Paulo, Manuel Brites, Cláudia Mendes-Moreira, Pedro Brites, Carla Moita Malosetti, Marcos Van Eeuwijk, Fred Vaz Patto, Maria Carlota |
| publishDate | 2019 |
| reponame_str | Repositório Institucional da UNL |
| repository_id_str | urn:repositoryAcronym:run |
| service_str_mv | urn:repositoryAcronym:run |
| spelling | engenBackground: Maize is a crop in high demand for food purposes and consumers worldwide are increasingly concerned with food quality. However, breeding for improved quality is a complex task and therefore developing tools to select for better quality products is of great importance. Kernel composition, flour pasting behavior, and flour particle size have been previously identified as crucial for maize-based food quality. In this work we carried out a genome-wide association study to identify genomic regions controlling compositional and pasting properties of maize wholemeal flour. Results: A collection of 132 diverse inbred lines, with a considerable representation of the food used Portuguese unique germplasm, was trialed during two seasons, and harvested samples characterized for main compositional traits, flour pasting parameters and mean particle size. The collection was genotyped with the MaizeSNP50 array. SNP-trait associations were tested using a mixed linear model accounting for genetic relatedness. Fifty-seven genomic regions were identified, associated with the 11 different quality-related traits evaluated. Regions controlling multiple traits were detected and potential candidate genes identified. As an example, for two viscosity parameters that reflect the capacity of the starch to absorb water and swell, the strongest common associated region was located near the dull endosperm 1 gene that encodes a starch synthase and is determinant on the starch endosperm structure in maize. Conclusions: This study allowed for identifying relevant regions on the maize genome affecting maize kernel composition and flour pasting behavior, candidate genes for the majority of the quality-associated genomic regions, or the most promising target regions to develop molecular tools to increase efficacy and efficiency of quality traits selection (such as "breadability") within maize breeding programs.application/pdfenGenome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flourAlves, Mara LisaCarbas, BrunaGaspar, DanielPaulo, ManuelBrites, CláudiaMendes-Moreira, PedroBrites, Carla MoitaMalosetti, MarcosVan Eeuwijk, FredVaz Patto, Maria CarlotaInstituto de Tecnologia Química e Biológica António Xavier (ITQB)BioMed Central (BMC)HostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptISSNIsPartOf1471-2229URNIsPartOfPURE: 17736643URNIsPartOfPURE UUID: 6f903dc5-0dfe-4215-a3c7-b0768e438464URNIsPartOfScopus: 85063803006URNIsPartOfPubMed: 30940081DOIIsPartOf10.1186/s12870-019-1729-72020-04-15T22:37:22Z2019-04-022019-04-02T00:00:00ZHandlehttp://hdl.handle.net/10362/96257http://purl.org/coar/access_right/c_abf2open accessBreadCandidate genesNutritional qualityPasting behaviorPlant breedingPortuguese maize germplasmZea mays L.Plant Science1862680 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/9ee8f229-6a46-483c-80f1-3a36e27347f6/download |
| spellingShingle | Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour Alves, Mara Lisa Bread Candidate genes Nutritional quality Pasting behavior Plant breeding Portuguese maize germplasm Zea mays L. Plant Science Alves, Mara Lisa Bread Candidate genes Nutritional quality Pasting behavior Plant breeding Portuguese maize germplasm Zea mays L. Plant Science |
| status | NEW |
| subject.fl_str_mv | Bread Candidate genes Nutritional quality Pasting behavior Plant breeding Portuguese maize germplasm Zea mays L. Plant Science |
| title | Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour |
| title_full | Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour |
| title_fullStr | Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour |
| title_full_unstemmed | Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour |
| title_short | Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour |
| title_sort | Genome-wide association study for kernel composition and flour pasting behavior in wholemeal maize flour |
| topic | Bread Candidate genes Nutritional quality Pasting behavior Plant breeding Portuguese maize germplasm Zea mays L. Plant Science |
| topic_facet | Bread Candidate genes Nutritional quality Pasting behavior Plant breeding Portuguese maize germplasm Zea mays L. Plant Science |
| url | http://hdl.handle.net/10362/96257 |
| visible | 1 |