Sisal SBP Gene Family: 45 Identified Genes and Expression Under Pathogen Stress

Results from a genome-wide identification of 45 AhSBP genes in Agave sisalana (sisal), with 18 identified as putative miR156 targets. It integrates comparative transcriptomics, promoter cis-element analysis, and RT-qPCR validation to elucidate the miR156-AhSBP module's role under pathogen stress from purple leaf roll and zebra stripe diseases. The study was authored by Zhiwei Lu and shared on figshare in March 2026.

Use Cases

• Analyze the expression patterns of 45 AhSBP genes, such as AhSBP9 and AhSBP38, under pathogen stress conditions to identify key defense regulators.
• Investigate the correlation between asi-miR156 induction levels and the suppression of its 18 putative target AhSBP genes in susceptible versus resistant sisal cultivars.
• Perform phylogenetic and synteny modeling on the AhSBP gene family to study lineage-specific expansion driven by segmental duplication (70%).
• Validate promoter cis-element analysis findings by cross-referencing with transcriptomic and RT-qPCR data for genes like AhSBP17 and AhSBP34.

Strengths

• Identifies a specific set of 45 AhSBP genes from the Agave sisalana genome.
• Provides multi-method validation integrating genome-wide identification, transcriptomics, promoter analysis, and RT-qPCR.
• Distinguishes 18 AhSBP genes as putative targets of miR156, offering a focused regulatory subset.
• Data is recent, last updated in March 2026, and shared under a permissive CC BY 4.0 license.

Limitations

• The dataset is very small at 11.1 KB, indicating limited scope and likely summary-level data rather than raw observations.
• Unknown row and column structure makes direct computational analysis and reproducibility challenging without the original study context.
• Findings are specific to Agave sisalana and two diseases (purple leaf roll, zebra stripe), limiting generalizability to other plant species or pathogens.

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 2026-03-20.