Sasa quelpaertensis leaf extract regulates microbial dysbiosis by modulating the composition and diversity of the microbiota in dextran sulfate sodium-induced colitis mice

Table 3 Composition of fecal microbiota in DSS – induced colitis mouse model^c

Phylum	Genus	Control	DSS	SQE
Firmicutes	Pseudoflavonifractor	4.83 ± 0.82	2.71 ± 1.32	6.19 ± 3.93
	Clostridium_g6	0.17 ± 0.13 ^a	9.49 ± 3.85 ^b	3.75 ± 4.23 ^a
	Acetatifactor	1.48 ± 1.42	1.31 ± 1.30	4.78 ± 3.55
	Oscillibacter	1.68 ± 0.75 ^a	1.12 ± 0.76 ^a	4.44 ± 2.68 ^b
	Hungatella	3.56 ± 1.07 ^a	0.82 ± 0.69 ^b	1.50 ± 1.28 ^b
	Turicibacter	1.72 ± 3.57	1.61 ± 1.73	1.73 ± 2.48
	Clostridium_g21	1.51 ± 0.59	0.75 ± 0.44	1.78 ± 1.44
	Romboutsia	0 ± 0	1.20 ± 2.93	2.09 ± 4.35
	Lachnospiraceae_uc	1.41 ± 0.47	0.25 ± 0.29	1.47 ± 1.75
	Roseburia	0.17 ± 0.08	0.11 ± 0.07	0.24 ± 0.17
Bacteroidetes	Bacteroides	20.23 ± 6.55 ^a	41.64 ± 8.25 ^b	20.10 ± 6.43 ^a
	Alloprevotella	4.07 ± 3.37	2.20 ± 2.76	3.19 ± 3.61
	Alistipes	3.11 ± 1.12 ^a	0.31 ± 0.23 ^b	0.30 ± 0.16 ^b
Proteobacteria	Enterobacter	0.02 ± 0.03 ^a	3.94 ± 7.40 ^b	0.04 ± 0.05 ^a
	Parasutterella	0.01 ± 0.01	1.78 ± 3.55	0.04 ± 0.06
Deferribacteres	Mucispirillum	1.38 ± 1.66	1.64 ± 1.56	2.72 ± 3.00

^cCut-off: 1.0
Values are mean ± SD
Significantly different by one – way ANOVA and Newman-Keuls’s post hoc test among the three groups (p < 0.05); n = 6 mice per group
^abFor a given column, data not sharing a common superscript letter significantly differ

ISSN: 2662-7671