Biology subjects

dos Anjos, I. A.

Publications and source records attributed to dos Anjos, I. A..

2 recordsLinked to original sources

bioRxiv2026

Multi-omics integration reveals candidate genes and molecular mechanisms associated with resistance to sugarcane smut

Sugarcane smut, caused by the fungus Sporisorium scitamineum (Syd.), is one of the main diseases affecting sugarcane and is capable of causing severe yield losses in susceptible varieties. Given the limitations of classical breeding, mainly due to the genetic complexity of sugarcane cultivars, molecular and omics approaches have gained increasing prominence for studying the genetic basis of traits such as disease resistance. In this context, we investigated sugarcane resistance to smut through the integration of association mapping methods and transcriptomics. A panel of 155 genotypes was genotyped with 33,335 SNP markers and inoculated with S. scitamineum generating three phenotypic variables. These data were jointly analyzed through genome-wide association analyses to identify marker-trait associations. In addition, transcriptomic analyses were performed using publicly available datasets from four studies evaluating sugarcane responses to smut. The integration of these multi-omics data enabled the identification of candidate genes involved in structural reinforcement, immune signaling, redox homeostasis, genome maintenance, and cellular adaptation. These findings provide valuable molecular resources for functional validation and breeding strategies aimed at developing sugarcane cultivars with enhanced smut resistance.

genomics↗

bioRxiv2020

Genome-Wide Association Mapping of Sugarcane Yellow Leaf Virus Resistance

A major disease affecting sugarcane, a leading sugar and energy crop, is sugarcane yellow leaf (SCYL), caused by the sugarcane yellow leaf virus (SCYLV). Despite damages caused by SCYLV, the genetic basis of resistance to this virus remains largely unknown. Several methodologies have arisen to identify molecular markers associated with SCYLV resistance, which are crucial for marker-assisted selection and understanding response mechanisms to this virus. We investigated the genetic basis of SCYLV resistance using dominant and codominant markers and genotypes of interest for breeding. A sugarcane panel inoculated with SCYLV was analyzed for SCYL symptoms, and viral titer was estimated by RT-qPCR. This panel was genotyped with 662 dominant markers and 70,888 SNPs and indels with allele proportion information. We used polyploid-adapted genome-wide association analyses and machine-learning algorithms coupled with feature selection methods to establish marker-trait associations. While each approach identified unique marker sets associated with phenotypes, convergences were observed between them, demonstrating their complementarity. Lastly, we annotated these markers, identifying genes encoding emblematic participants in virus resistance mechanisms and previously unreported candidates involved in viral responses. Our approach could accelerate sugarcane breeding targeting SCYLV resistance and facilitate studies on biological processes leading to this trait.

plant biology↗