Sisal SBP Gene Family Identification and Expression Under Pathogen Stress

Results from a genome-wide identification of 45 AhSBP genes in sisal (Agave sisalana) and their expression analysis under pathogen stress. It includes data on gene expansion mechanisms, promoter cis-elements, and comparative transcriptomics for 18 putative miR156 target genes. The analysis is based on transcriptomic and RT-qPCR validation from susceptible and resistant cultivars.

Use Cases

• Analyze the expression patterns of specific AhSBP genes, such as AhSBP9 and AhSBP38, under pathogen stress using transcriptomic data.
• Study the lineage-specific expansion of the 45 AhSBP genes, focusing on the 70% driven by segmental duplication.
• Investigate the regulatory relationship between asi-miR156 levels and its 18 putative target AhSBP genes across different cultivar responses.
• Compare promoter cis-element profiles among the identified AhSBP genes to infer stress-responsive regulatory mechanisms.
• Examine the potential effector roles of specific genes like AhSBP17 and AhSBP34 in the SBP-mediated defense program.

Strengths

• Identifies a specific set of 45 AhSBP genes from the A. sisalana genome.
• Includes analysis of 18 AhSBP genes identified as putative targets of miR156.
• Quantifies that 70% of the gene family expansion was driven by segmental duplication.
• Integrates multiple analysis methods: genome-wide identification, phylogenetic modeling, transcriptomics, and RT-qPCR validation.

Limitations

• The dataset is small at 29.5 KB, indicating limited scope and likely summary-level data rather than raw sequences or full expression matrices.
• Sample data and column structure are unavailable, limiting immediate understanding of the data's granularity and format.
• The study focuses on a specific plant (sisal) and two diseases, limiting generalizability to other species or stress conditions.

Provenance

Source

figshare, authored by Zhiwei Lu.

Collection Method

Genome-wide identification, phylogenetic and synteny modeling, comparative transcriptomics, promoter cis-element analysis, and RT-qPCR validation.

Freshness

Last updated March 20, 2026.