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

Table 2 Summary of the relationships between traits and WGCNA modules

Trait	WGCNA module	Hub gene count/total gene count	Effect (Trait vs. module)
rButanol	Black	83/183	+
rButanol	Salmon	16/17	+
rButyrate	Black	108/183	+
rButyrate	Salmon	14/17	+
rSugar	Black	80/183	+
rSugar	Purple	27/32	+
rAcetone	Black	94/183	+
rAcetone	Purple	24/32	+
rOD₆₀₀	Black	100/183	–
rOD₆₀₀	Purple	27/32	–
rAcetate	Blue	590/1016	–
rAcetate	Turquoise	298/1104	–
rEthanol	Brown	299/514	–
rEthanol	Red	152/190	–
Con	Black	70/183	+
Coum	Blue	911/1016	–
Coum	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	+

^* 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

ISSN: 2731-3654