Alternaria Alternata Transcription Factor Gene Deletion and Phenotypic Analysis

Rong Li's research dataset on figshare contains experimental results from gene deletion studies of transcription factors AaSwi6 and AaMbp1 in the pear fungal pathogen Alternaria alternata. Data includes measurements of mycelial expansion, biomass, conidiation, spore germination, appressorium formation, and secondary metabolite production. The dataset was last updated in April 2026.

Use Cases

• Analyze correlations between AaSwi6/AaMbp1 gene deletion and quantitative defects in mycelial expansion and biomass accumulation.
• Model the impact of transcription factor disruption on secondary metabolite production levels, including melanin, alternariol (AOH), alternariol monomethyl ether (AME), and tenuazonic acid (TeA).
• Study the relationship between gene deletion, changes in cell wall composition (chitin, glucan, mannan levels), and resulting diminished virulence on tomato and pear fruit.
• Investigate protein-protein interaction data from yeast two-hybrid experiments, such as the interaction between AaSlt2 and downstream partners AaSwi6 and AaRlmA.

Strengths

• Dataset includes multi-faceted phenotypic measurements from targeted gene deletion experiments.
• Underlying research establishes a novel signaling pathway (AaSlt2-Swi6/RlmA) for cell wall synthesis and pathogenicity.
• Data is associated with a peer-reviewed research study methodology.

Limitations

• The dataset is small at 2.8 MB, limiting the scope for large-scale machine learning.
• Specific row counts and column names for the experimental data are not provided.
• Data is focused on a single fungal species, Alternaria alternata, limiting generalizability.

Provenance

Source

Rong Li via figshare.

Collection Method

Data generated through laboratory experiments including gene deletion, phenotypic assays, compositional analysis, and yeast two-hybrid screening.

Freshness

Last updated in April 2026.