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Updated: Jan 11, 2026

Multipronged Phenotyping Approaches to Characterize Sugarcane Root Systems
Published on: August 17, 2022
Multiomic insights into sucrose accumulation in sugarcane
Alexandre Hild Aono1, Ricardo José Gonzaga Pimenta1, Jéssica Faversani Diniz1
1Center for Molecular Biology and Genetic Engineering (CBMEG), University of Campinas (UNICAMP), Campinas, SP, Brazil.
Researchers uncovered key genetic factors influencing sugarcane sucrose accumulation using multiomics. This study enhances understanding for improved sugar and biofuel production through advanced breeding strategies.
Area of Science:
- Plant Genomics and Molecular Biology
- Agricultural Science
- Biotechnology
Background:
- Sugarcane is economically vital for sugar and biofuel, but its complex genome hinders understanding of quantitative traits like sucrose accumulation.
- Previous research has not fully elucidated the genetic architecture and molecular mechanisms governing sucrose content in sugarcane.
Purpose of the Study:
- To investigate the genetic architecture and molecular mechanisms controlling sucrose accumulation in sugarcane using a multiomic approach.
- To identify genetic markers and genes associated with variations in soluble solids (Brix) and sucrose content (POL).
Main Methods:
- Evaluated Brix and POL in biparental and diverse sugarcane populations over multiple years.
- Genotyped populations using genotyping-by-sequencing (GBS) and performed genotype-phenotype association analyses with mixed-effect models and machine learning.
- Conducted RNA sequencing on contrasting genotypes and integrated findings with gene coexpression network analysis.
Main Results:
- Identified strong correlations and modest to high heritabilities for Brix and POL traits.
- Discovered single-nucleotide polymorphisms (SNPs) linked to phenotypic variance and associated them with differentially expressed genes (DEGs) related to sucrose levels.
- Delineated a set of genes potentially involved in sucrose accumulation regulation through integrated multiomic data and network analysis.
Conclusions:
- The study provides a significant resource for sugarcane biotechnology and plant breeding, offering insights into sucrose accumulation.
- Developed genotype-phenotype association models show promise for genomic selection, aiding in the development of improved sugarcane varieties.
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