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Exploring the Genetic Networks of HLB Tolerance in Citrus: Insights Across Species and Tissues.


ABSTRACT: Huanglongbing (HLB), caused mainly by Candidatus Liberibacter asiaticus (CLas), is a devastating disease threatening citrus production worldwide, leading to leaf mottling, fruit deformation, and significant yield losses. This study generated a comprehensive co-expression network analysis using RNA-seq data from 17 public datasets. Weighted gene co-expression network analysis (WGCNA) was applied to identify gene modules associated with citrus species, tissue types, and days post-infection (DPIs). These modules revealed significant enrichment in biological pathways related to stress responses, metabolic reprograming, ribosomal protein synthesis, chloroplast and plastid function, cellular architecture, and intracellular transport. The results offer a molecular framework for understanding HLB pathogenesis and host response. By elucidating module-specific functions and their correlation with species- and tissue-specific responses, this study provides a robust foundation for identifying key genetic targets. These insights facilitate breeding programs focused on developing HLB-tolerant citrus cultivars, contributing to the long-term sustainability and resilience of global citrus production.

SUBMITTER: Machado R 

PROVIDER: S-EPMC12197043 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature

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Exploring the Genetic Networks of HLB Tolerance in Citrus: Insights Across Species and Tissues.

Machado Rodrigo R   Moschen Sebastián S   Conti Gabriela G   González Sergio A SA   Rivarola Máximo M   Gómez Claudio C   Hopp Horacio Esteban HE   Fernández Paula P  

Plants (Basel, Switzerland) 20250611 12


Huanglongbing (HLB), caused mainly by <i>Candidatus</i> Liberibacter <i>asiaticus</i> (CLas), is a devastating disease threatening citrus production worldwide, leading to leaf mottling, fruit deformation, and significant yield losses. This study generated a comprehensive co-expression network analysis using RNA-seq data from 17 public datasets. Weighted gene co-expression network analysis (WGCNA) was applied to identify gene modules associated with citrus species, tissue types, and days post-inf  ...[more]

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