Fig. 5: Genotype-environment association (GEA) analysis reveals genetic loci selected by factors such as latitude, soil bulk density, and relative humidity, and the effects of adaptive variation of these genes on metabolic differentiation. | Nature Communications

Fig. 5: Genotype-environment association (GEA) analysis reveals genetic loci selected by factors such as latitude, soil bulk density, and relative humidity, and the effects of adaptive variation of these genes on metabolic differentiation.

From: Large-scale multi-omics profiling reveals environmental and evolutionary drivers of fungal phylogeographic and metabolic diversity

Fig. 5: Genotype-environment association (GEA) analysis reveals genetic loci selected by factors such as latitude, soil bulk density, and relative humidity, and the effects of adaptive variation of these genes on metabolic differentiation.The alternative text for this image may have been generated using AI.

a The differentially expressed gene ranking dotplot of 306 regulatory genes in the Chinese clade 4/clade 1. b Environmental adaptive genes identified by SamBada and Bayenv2 and their intersection. The intersection and union results with mGWAS genes, known regulatory genes, and BGC genes. c Random forest model predicts the variable importance of environmental factors. d Upset graph showing the intersection and union of DEGs of regulators, BGC genes, environmental selection genes, and the mGWAS genes set. e KEGG metabolism level enrichment analysis of 803 environmental adaptability genes. f GO pathway enrichment analysis of 803 environmental adaptability genes.

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