MOESM6 of A quantitative image analysis pipeline for the characterization of filamentous fungal morphologies as a tool to uncover targets for morphology engineering: a case study using aplD in Aspergillus niger

Additional file 6. Functional predictions derived from gene co-expression network analysis support a role of A. niger aplD in endosomal transport and filamentous growth. Networks were previously calculated from over 300 micro-array experiments, with co-expression Spearman co-efficient values above 0.7 considered highly stringent and robust to aid gene functional predictions. The aplD gene co-expression network passing a co-efficient threshold of 0.7 was retrieved from FungiDB (n = 109 genes), and a selection of enriched GO-terms are reported. GO enrichment in the alp4 subnetwork cohort was calculated relative to the A. niger genome as a whole using default parameters in FungiDB. Enriched GO-terms were considered statistically significant when Benjamini-Hochberg false discovery correction p-value >0.05.