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Soil pH was the best predictor of bacterial community composition across this landscape while fungal community composition was most closely associated with changes in soil nutrient status.
The third best predictor of bacterial and fungal communities was spatial location, confirming that everything is not everywhere.
Plant species identity was the best predictor of bacterial and fungal community composition in the soil, followed by soil chemistry, spatial location and plant relatedness.
Furthermore, compared with the individual marker of DcR3 or sTREM-1, the bioscore was found to be a better predictor of bacterial meningitis.
Plant phylogeny was a significant but poor predictor of bacterial community composition, explaining 1, 5, 9 and 8%% of the variation on ordination axes 1 4 (Table 1).
Genotype was a strong predictor of Bacterial Load in both the acute and chronic phase of infection (Model E; Table 5; Genotype: p < 0.001), clearly demonstrating genetic variation for resistance.
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Among the available biomarkers, serum procalcitonin (PCT) has been described as one of the most promising predictors of bacterial sepsis, especially in the setting of bacteremia [ 3- 6].
This high heterogeneity of microsites for bacterial within the root zone, coupled with the high degree of species diversity within the bacterial domain, could be responsible for the weaker predictors of bacterial communities in our study.
We took advantage of this unique frame-work of the ECRHS II to determine whether selected home characteristics such as mould and dampness (observed and self-reported), pet keeping, current smoking and the location of the study centre in Europe are suitable predictors of bacterial and fungal biomarkers.
A comparison of 16S sequence data and fecal indicator qPCR measurements indicated that the latter was a good predictor of overall bacterial community change over time (rho: 0.804 0.814, P = 0.001).
Frequency of theatre door-opening is a positive predictor of raised bacterial counts.
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