Excerpts

The abundance of Weissella and Lactobacillus presented highly significant differences among the five samples ( P < 0.01).

PRSP, PRP and HLPRP showed an increasing trend during the study period among carriage strains ( Figure 3A and Table 5 ; p < 0.01).

Results Characterization of physicochemical properties of different species of litter There were extremely significant differences in Dw ( p < 0.01, F = 3296.941), total C ( p < 0.01, F = 20.538), total P ( p < 0.05, F = 7.668), C/N ( p < 0.01, F = 68.247), N/P ( p < 0.01, F = 21.415), and C/P ( p < 0.01, F = 26.931) among the three types of leaf litter, but there was no significant difference in the content of total N ( p > 0.05, F = 4.355), as shown in Table 1 .

A significant trend toward increased number of resistant strains over time was observed only in GC_91 isolates ( r 2 = 0.607; p < 0.01; Table 4 ).

And the interaction effect of varieties and additives had a significant effect on CP of WPC silage ( p < 0.05), had a highly significant effect on WSC ( p < 0.01) but not significant effect on DM, EE and Ash ( p > 0.05).

In regional grouping, the Wilcoxon signed-rank test showed that there was an extremely significant difference in Shannon indices between the groups JN and WH ( P < 0.01) and a significant difference between the groups LY and WH ( P < 0.05).

A * P < 0.05 was considered statistically significant and highly significant when ** P < 0.01 and *** P < 0.001 (two-tailed tested).

Comparing between groups, the virus titers obtained from the youngest ducks were highest, and virus titers in heart and lung were 10 1.5 –10 2.3 higher than those of the other two groups, with highly significant difference ( P < 0.01, Figure 3B ).

In the lower reaches region, the influence of water quality factors remained dominant, with TP, TN, and Turbidity showing highly significant effects ( p < 0.01).

However, moderately significant correlations between lincomycin residue and relative quantification of lnu (F) ( r = 0.705, p = 0.01) (Table 1 ) were noted.

In the correlation analysis between rumen fermentation parameters and rumen microorganisms, Propionic and TVFA showed a significant positive correlation with Prevotella ( p < 0.05), butyric showed a highly significant positive correlation with Prevotella ( p < 0.01), and propionic butyric, and TVFA showed a positive correlation with Bacteroides ( p < 0.05); L-cysteine was significantly positively correlated with Prevotella and Anaeroplasma ( p < 0.05) and Eubaterium in rumen microbial-serum metabolite correlation analysis ( p < 0.01).

Figure 5 encapsulated the three groups of KEGG pathways that we were more concerned about, which have extremely significant differences ( p < 0.01) in abundance at various time points.

As shown in Table 1 , the model was extremely significant ( p < 0.01) but not significant ( p > 0.05) for the lack of fit, which implied that the regression equation was well fitted.

Bacterial loads in all organs at 2 weeks post-infection were significantly higher than those at later time points (4, 6, and 8 weeks), with highly significant differences compared with the PBS control group (one-way ANOVA with Dunnett’s multiple comparisons test, ** p < 0.01 or *** p < 0.001).

All differences were extremely significant ( p < 0.01). 3.3.

In this study, statistical significance was defined as p < 0.05, with highly significant differences designated at p < 0.01 and p < 0.001. 2.5.

The abundance of Gibellulopsis showed a highly significant positive correlation with soil pH ( P < 0.01).

N 2 O emission rates exhibited a highly significant positive correlation with NH 4 + -N concentration ( r > 0.57, p < 0.01) and a significant positive correlation with NR activity and norB abundance ( r > 0.29, p < 0.05; r > 0.37, p < 0.01).

Next, Pearson correlation coefficients were determined for each pair of OTUs and highly significant ( P < 0.01) correlations were visualized using Cytoscape ( Figure 5B ).

Induced Expression Pattern of GlbHLH5 by MeJA Compared with the control group, adding exogenous MeJA significantly increased the content of Ganoderma triterpenoids, and the difference was extremely significant after 12 h of induction ( P < 0.01) ( Figure 4A ).

The significance level was P < 0.05, the extremely significant level was P < 0.01, the difference was not significant if P > 0.05.

Propionate levels showed a highly significant treatment effect ( p < 0.01), with means ranging from 151 to 172 mmol/mol.

In contrast, when grown in SMB, Δ Tfsdh1 showed a highly significant increase in TfSDH1 activity, with levels 26.91% higher than Y32 ( p < 0.01) and 42.30% higher than Δ Tfsdh1 :: Tfsdh1 , respectively.

The relative abundance of Gammaproteobacteria -derived subclade E/2 showed a decreasing trend along the transection from inshore (3.04%) to offshore (0.36%), and negatively correlated with longitude ( r = −0.75, P < 0.01) (Figure S2 ).

Asterisks indicate a statistically significant difference compared with TMV, “ ∗ ” indicate a significant difference ( P < 0.05) and “ ∗∗ ” indicate an extremely significant difference ( P < 0.01).