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Table 2 Summary of the relationships between traits and WGCNA modules

From: Gene coexpression network analysis reveals a novel metabolic mechanism of Clostridium acetobutylicum responding to phenolic inhibitors from lignocellulosic hydrolysates

Trait WGCNA module Hub gene count/total gene count Effect (Trait vs. module)
rButanol Black 83/183 +
Salmon 16/17 +
rButyrate Black 108/183 +
Salmon 14/17 +
rSugar Black 80/183 +
Purple 27/32 +
rAcetone Black 94/183 +
Purple 24/32 +
rOD600 Black 100/183
Purple 27/32
rAcetate Blue 590/1016
Turquoise 298/1104
rEthanol Brown 299/514
Red 152/190
Con Black 70/183 +
Coum Blue 911/1016
Green 227/282
Fer Green 225/282 +
Syr Yellow 49/296
Turquoise 196/1104 +
Red 152/190 +
Van Purple 27/32
Pink 10/68
Brown 323/514 +
  1. * The table shows WGCNA modules that were highly associated with the fermentation characteristics (correction coefficient  > 0.65 and p ≤ 0.001) and the gene counts in each module. The specific rates of acetone, butanol, ethanol, acetate, butyrate, sugar, and biomass are represented by rAcetone, rButanol, rEthanol, rAcetate, rButyrate, rSugar, and rOD600, respectively. Con, Van, Coum, Syr, and Fer denote the control, vanillin, p-coumaric acid, syringaldehyde, and ferulic acid samples, respectively. + Positive correlation, − negative correlation. Eigengenes in the magenta, tan, and green-yellow modules were not significantly related to any traits