27 research outputs found
Additional file 3: of Taxonomy, virulence genes and antimicrobial resistance of Aeromonas isolated from extra-intestinal and intestinal infections
Clinical data, genes of toxins and drug resistant patterns for 95 diarrhea patients related to Aeromonas spp. (XLS 578 kb
Additional file 4: of Taxonomy, virulence genes and antimicrobial resistance of Aeromonas isolated from extra-intestinal and intestinal infections
Clinical data, genes of toxins and drug resistant patterns for 17 patients related to Aeromonas spp. in extra-intestinal infections. (XLS 49 kb
Additional file 2: of Taxonomy, virulence genes and antimicrobial resistance of Aeromonas isolated from extra-intestinal and intestinal infections
Sequence of primers used for amplification of housekeeping genes and virulence factor genes. (DOC 58 kb
Additional file 1: of Taxonomy, virulence genes and antimicrobial resistance of Aeromonas isolated from extra-intestinal and intestinal infections
Medical Record table upload. (DOCX 14 kb
Different non-hormonal contraception methods and Nugent scores for vaginal discharge.
<p>P-values were obtained from Chi-square test for Nugent score among three groups. Bonferroni correction was used for pairwise comparison. Condom vs. IUD: p = 0.005, α = 0.017, significant; Condom vs. Rhythm: p = 0.384, α = 0.017, not significant; IUD vs. Rhythm: p = 0.237, α = 0.017, not significant.</p
Prevalence rate of H<sub>2</sub>O<sub>2</sub>-producing <i>Lactobacillus</i> among condom, IUD and rhythm groups.
<p>Note: LB, <i>Lactobacillus</i>; LB<sup>+</sup>, H<sub>2</sub>O<sub>2</sub>-producing <i>Lactobacillus</i>; LB<sup>-</sup>, non-H<sub>2</sub>O<sub>2</sub>-producing <i>Lactobacillus. P</i>-values were obtained from Chi-square test for comparison of LB<sup>+</sup> and LB among different groups, including 107/130 in the condom group, 60/88 in the IUD group and 51/75 in the rhythm group. Bonferroni correction was used for pairwise comparison (α = 0.017).</p
DataSheet_1_Interdomain plant–microbe and fungi–bacteria ecological networks under different woodland use intensity during the dry and wet season.docx
Microbial communities, which are affected by soil types and climate factors, contribute to maintain the function of terrestrial ecosystems. Recent studies have shown that interdomain relationships in below–aboveground communities may contribute greatly to ecosystem functioning. However, the responses of interactions among plant, soil fungal, and bacterial communities to the change of woodland use and their effects on ecosystem multifunctionality (EMF) remain poorly understood. In this study, the plant–microbe and fungi–bacteria interdomain ecology network (IDEN) based on SparCC pairwise associations were constructed by simultaneous aboveground plant surveys and belowground microbial analyses among four different woodland use intensities (WUI) along different seasons. The effects of different seasons on these relationships were surveyed to probe into the links to EMF. With the increase of woodland use intensity, the plant–microbe network complexity decreased, while the fungus–bacteria network complexity increased. In both dry and wet seasons, ecosystem multifunctionality decreased with the increase of woodland use intensity. Some tree species are the network hubs and may play a pivotal role in the community structure stability of the forest ecosystem. During the dry season, WUI could indirectly affect EMF through plant–microbial network complexity. During the wet season, WUI had a direct effect on EMF. WUI also indirectly affected EMF through plant–microbial network complexity and fungus–bacterial network complexity. Air temperature is the main climatic factor for EMF in the dry season, while soil moisture content is the climatic factor for EMF in the wet season. Our study revealed the important role of the relationship between plants and their associated soil microbial communities (IDENs) in maintaining ecosystem processes and function. Investigating the recovery dynamics of inter-domain ecological networks after extreme disturbances is important for understanding the overall development of ecosystems.</p
Prevalence and quantification of <i>Lactobacillus</i> in women grouped by non-hormonal contraception methods.
<p>LB, <i>Lactobacillus</i>; LB<sup>+</sup>, H<sub>2</sub>O<sub>2</sub>-producing <i>Lactobacillus</i>; LB<sup>-</sup>, non-H<sub>2</sub>O<sub>2</sub>-producing <i>Lactobacillus.</i> Data are shown as mean ± SE for colony count (log<sub>10</sub>CFU/ml), gene expression (log<sub>10</sub>copies/ml) and n(%) for prevalence of women with LB.</p>∧<p>Adjusted for age. <sup>#</sup>Bonferroni correction was used for pairwise comparison (α = 0.017).</p>*<p>Log transformed prior to statistical test. Bold and italic = Significant at the Bonferroni level; italic = Significant but not at the Bonferroni level.</p
Primer sequences and reaction conditions used for PCR of <i>Lactobacillus</i>-specific 16S rRNA gene.
<p>Primer sequences and reaction conditions used for PCR of <i>Lactobacillus</i>-specific 16S rRNA gene.</p