3.5.3.1 Correlation analysis between soil physicochemical properties and the bioaccessibility of Pb PH, EC, and CEC showed a highly significant positive correlation ( p ≤ 0.01), indicating that pH, EC, and CEC in soil are homologous.
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Prevotellaceae_UCG.003 was negatively correlated with acetic, propionic, and hexanoic acids ( p < 0.05) and had a highly significant negative correlation with valeric acid ( p < 0.01).
Analyses of metabolic pathways between groups with CK as the control and MWP-1 as the upregulated group showed that the treatment group had two upregulated metabolic pathways and one downregulated metabolic pathway, with highly significant differences ( p < 0.01) between the two pathways, namely PWY-5083 pathway, NAD/NADH phosphorylation and dephosphorylation, and LIPASYN-PWY pathway, phosphorylation ( Figure 12B ).
graminearum reaching a highly significant level ( p < 0.01).
pH, TK, AP, and SSC had highly significant effects ( p < 0.01) on bacterial communities, while TN, AN, SOM, and SSC had highly significant effects on fungal communities ( p < 0.001).
Redundancy analysis further showed that the effects of soil physicochemical properties, microbial biomass and enzyme activities, and P fractions on the structural variability of the fungal community reached significant levels ( p < 0.05), however, only the P fractions affected the bacterial community at highly significant levels ( p < 0.01).
There were highly significant differences ( p < 0.01) in the number of OTUs and the Shannon, Chao1, and the Palou evenness indices in the endophytic fungal community at different sampling timepoints for each induction treatment with no significant differences in sequence numbers.
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.
For particle size response, ANOVA results show that the model is extremely significant, p < 0.01, where AB and A 2 were important model items.
Similarly, the PD_whole_tree index is significantly negatively correlated with AP, C/N ratio, and NO 3 − -N ( p < 0.05), and shows a highly significant positive correlation with pH ( p < 0.01).
At the jointing stage, Proteobacteria, Acidobacteriota, and Myxococcota phyla had extremely significant differences ( p < 0.01), and Actinobacteriota phyla had significant differences ( p < 0.05).
Significant ( p < 0.05) and highly significant ( p < 0.01) correlations were observed linking the top 20 bacterial ( Figure 8A ) and fungal ( Figure 8B ) genera with DMs.
This difference between these two groups was highly significant ( p < 0.01), possibly due to AR modeling altering the gut environment, leading to a decrease in the abundance of the original dominant microbiota and allowing external microbiota to colonize the gut more effectively.
A highly significant positive correlation exists between α diversity and gene diversity ( p < 0.01, p < 0.05); TP and WBC are both highly negatively correlated with α diversity and gene diversity significantly; GLOB was significantly correlated with gene diversity and alpha diversity; ALT was significantly negatively correlated with α diversity and gene diversity.
However, among isolates of CLI-ERY-OXA-TET resistant phenotype, 57.9% (11/19) isolates were sourced from human samples and the distribution difference was highly significant ( P < 0.01).
Alpha-fetoprotein (AFP) yielded its highest median level in the GD group (4.44), demonstrating a highly significant difference compared with the SD & HC groups ( p < 0.01).
At the genus level ( Figure 4B ), there were significant differences in 6 genera ( p < 0.05) and extremely significant differences in 5 genera ( p < 0.01) among the 7 groups.
p values of <0.05, 0.01, and 0.001 were considered significant ( * p < 0.05), highly significant ( ** p < 0.01), and extremely significant ( *** p < 0.001), respectively. 3.
The results of redundancy analysis showed that the influences of both pH and electrical conductivity on the bacterial community were highly significant ( p < 0.01).
The significance analysis revealed that the bacterial communities associated with the four scyphomedusa taxa all had extremely significant differences from each other (PERMANOVA, p < 0.01) ( Figure 4 and Tables 1 , 2 ).
Spearman's correlation analysis revealed that bacteria such as Faecalibacterium, Ruminococcus, Coprococcus , and Blautia were significantly and positively correlated with the intestinal barrier markers ( P < 0.05), with extremely significant correlations between Ruminococcus and ZO-1 , and Coprococcus and Occludin ( P < 0.01), whereas Desulfovibrio had a negative correlation with the expression of Occludin ( P < 0.05).
ANOSIM analysis results ( Table 3 ) suggest that the differences in bacterial and fungal community diversity within plant samples are not significant, whereas the differences within soil samples are highly significant ( p ≤ 0.01). 3.4.
All had significant ( p < 0.05) or highly significant ( p < 0.01) effects, except for the interaction between the ecological regions and the cropping systems, which did not have a significant effect on the relative abundance of Actinobacteria and the cropping patterns on the relative abundances of Acidobacteria , Gemmatimonadetes , and Bacteroidetes .
When analyzing the relationship between microbial communities and soil chemical properties, Mantel's tests reveal a significant correlation between bacterial communities and MBC, MBN ( P < 0.05), and a highly significant correlation with pH, SOM, SOC, TN, TP, AN, OP, AK ( P < 0.01).
There was a highly significant difference in FPA of the two strains ( p < 0.01).