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Multiomic insights into sucrose accumulation in sugarcane

dc.contributor.authorAono, Alexandre Hild
dc.contributor.authorPimenta, Ricardo José Gonzaga
dc.contributor.authorDiniz, Jéssica Faversani
dc.contributor.authorCarrasco, Marishani Marin
dc.contributor.authorHosaka, Guilherme Kenichi
dc.contributor.authorCorrer, Fernando Henrique
dc.contributor.authorGarcia, Ana Letycia Basso
dc.contributor.authorCosta, Estela Araujo
dc.contributor.authorCoutinho, Alisson Esdras [UNESP]
dc.contributor.authorPinto, Luciana Rossini
dc.contributor.authorLandell, Marcos Guimarães de Andrade
dc.contributor.authorXavier, Mauro Alexandre
dc.contributor.authorPerecin, Dilermando [UNESP]
dc.contributor.authorCarneiro, Monalisa Sampaio
dc.contributor.authorBalsalobre, Thiago Willian
dc.contributor.authorKuroshu, Reginaldo Massanobu
dc.contributor.authorMargarido, Gabriel Rodrigues
dc.contributor.authorde Souza, Anete Pereira
dc.date.accessioned2026-04-22T18:03:00Z
dc.date.issued2025-11-13
dc.description.abstractSugarcane holds significant economic importance in sugar and biofuel production. Despite extensive research, understanding highly quantitative traits remains challenging due to its complex genomic landscape. We conducted a multiomic investigation to elucidate the genetic architecture and molecular mechanisms governing sugarcane sucrose accumulation. Using a biparental cross and a genetically diverse collection of sugarcane genotypes, we evaluated the soluble solids (Brix) and sucrose content (POL) across various years. Both populations were genotyped using a genotyping-by-sequencing approach. Genotype‒phenotype associations were established using a combination of traditional linear mixed-effect models and machine learning algorithms. Furthermore, we conducted an RNA sequencing experiment on genotypes exhibiting distinct Brix and POL profiles across different developmental stages. Differentially expressed genes (DEGs) potentially associated with variations in sucrose accumulation were identified. All findings were integrated through gene coexpression network analyses. Strong correlations among the evaluated characteristics were observed, with estimates of modest to high heritabilities. By leveraging a broad set of single-nucleotide polymorphisms (SNPs) identified for both populations, we identified several SNPs potentially linked to phenotypic variance. Our examination of genes close to these markers facilitated the association of such SNPs with DEGs for contrasting sucrose levels. Through the integration of these results with a gene coexpression network, we delineated a set of genes potentially involved in the regulatory mechanisms of sucrose accumulation. Our findings constitute a significant resource for biotechnology and plant breeding initiatives. Furthermore, our genotype‒phenotype association models hold promise for application in genomic selection, offering valuable insights into the molecular underpinnings governing sucrose accumulation in sugarcane.
dc.description.affiliationCenter for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), Campinas, SP, Brazil
dc.description.affiliationDepartment of Genetics, Luiz de Queiroz College of Agriculture (ESALQ), University of São Paulo (USP), Piracicaba, SP, Brazil
dc.description.affiliationAdvanced Center of Sugarcane Research and Development, Agronomic Institute of Campinas (IAC), Ribeirão Preto, SP, Brazil
dc.description.affiliationFaculty of Agricultural and Veterinary Sciences (FCAV), Universidade Estadual Paulista (UNESP), Jaboticabal, SP, Brazil
dc.description.affiliationPlant Biotechnology Laboratory, Centre for Agricultural Sciences, Federal University of São Carlos (CCA-UFSCar), Araras, SP, Brazil
dc.description.affiliationInstituto de Ciência e Tecnologia (ICT), Universidade Federal de São Paulo (UNIFESP), São José dos Campos, SP, Brazil
dc.description.affiliationDepartment of Plant Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, SP, Brazil
dc.description.affiliationUnespFaculty of Agricultural and Veterinary Sciences (FCAV), Universidade Estadual Paulista (UNESP), Jaboticabal, SP, Brazil
dc.identifierhttps://app.dimensions.ai/details/publication/pub.1194961933
dc.identifier.dimensionspub.1194961933
dc.identifier.doi10.1007/s11103-025-01652-z
dc.identifier.issn0167-4412
dc.identifier.issn1573-5028
dc.identifier.orcid0000-0003-4871-6625
dc.identifier.orcid0000-0003-0413-7138
dc.identifier.orcid0000-0002-5960-770X
dc.identifier.orcid0000-0001-8353-1138
dc.identifier.orcid0000-0001-8562-1946
dc.identifier.orcid0000-0003-1497-2567
dc.identifier.orcid0000-0003-4716-0741
dc.identifier.orcid0000-0002-7369-7609
dc.identifier.orcid0000-0002-5299-8146
dc.identifier.orcid0000-0002-6205-9564
dc.identifier.orcid0000-0002-9835-7205
dc.identifier.orcid0000-0002-7488-0536
dc.identifier.orcid0000-0001-7669-7009
dc.identifier.orcid0000-0003-3831-9829
dc.identifier.pmid41233661
dc.identifier.urihttps://hdl.handle.net/11449/322383
dc.publisherSpringer Nature
dc.relation.ispartofPlant Molecular Biology; n. 6; v. 115; p. 129
dc.rights.accessRightsAcesso restritopt
dc.rights.sourceRightsclosed
dc.sourceDimensions
dc.titleMultiomic insights into sucrose accumulation in sugarcane
dc.typeArtigopt
dspace.entity.typePublication
relation.isOrgUnitOfPublication3d807254-e442-45e5-a80b-0f6bf3a26e48
relation.isOrgUnitOfPublication.latestForDiscovery3d807254-e442-45e5-a80b-0f6bf3a26e48
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências Agrárias e Veterinárias, Jaboticabalpt

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