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Non-parametric estimation of the classes in a population

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... Alpha diversity was measured using the Simpson [84], Chao1 [85], and Shannon [86] indices. Two-way ANOVA was computed in R Studio (R version 2022.12.0) to determine alpha group significance across the cofactors, namely radiation dose (RD) and time since irradiation (TSI); the significance value cutoff was p < 0.05. ...
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There is an escalating need to comprehend the long-term impacts of nuclear radiation exposure since the permeation of ionizing radiation has been frequent in our current societal framework. A system evaluation of the microbes that reside inside a host’s colon could meet this knowledge gap since the microbes play major roles in a host’s response to stress. Indeed, our past study suggested that these microbes might break their symbiotic association with moribund hosts to form a pro-survival condition exclusive to themselves. In this study, we undertook metagenomics and metabolomics assays regarding the descending colon content (DCC) of adult mice. DCCs were collected 1 month and 6 months after 7 Gy or 7.5 Gy total body irradiation (TBI). The assessment of the metagenomic diversity profile in DCC found a significant sex bias caused by TBI. Six months after 7.5 Gy TBI, decreased Bacteroidetes were replaced by increased Firmicutes in males, and these alterations were reflected in the functional analysis. For instance, a larger number of networks linked to small chain fatty acid (SCFA) synthesis and metabolism were inhibited in males than in females. Additionally, bioenergy networks showed regression dynamics in females at 6 months post-TBI. Increased accumulation of glucose and pyruvate, which are typical precursors of beneficial SCFAs coupled with the activated networks linked to the production of reactive oxygen species, suggest a cross-sex energy-deprived state. Overall, there was a major chronic adverse implication in male mice that supported the previous literature in suggesting females are more radioresistant than males. The sex-biased chronic effects of TBI should be taken into consideration in designing the pertinent therapeutics.
... Bacterial communities were classified using the SILVA database (version 132), and fungal communities were classified utilizing the UNITE database (version 8.0). Microbial community α-diversity and richness were calculated with Mothur 1.43.0 software, with the Shannon index used to quantify community diversity (Shannon, 1948) and the Chao index to estimate community richness (Chao, 1984). For OTU-based co-occurrence networks, OTUs with relative abundances above 0.1% in bacterial and fungal communities were included, while OTUs with zero abundance in two-thirds of the samples were excluded. ...
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Introduction The increasing rate of atmospheric nitrogen deposition has severely affected the structure and function of these ecosystems. Although nitrogen deposition is increasing globally, the responses of soil microbial communities in subtropical planted forests remain inadequately studied. Methods In this study, a four-year experimental simulation was conducted to assess the impacts of varying nitrogen deposition levels (CK: 0 g·N·m⁻²·a⁻¹; N10: 10 g·N·m⁻²·a⁻¹; N20: 20 g·N·m⁻²·a⁻¹; N25: 25 g·N·m⁻²·a⁻¹) on two subtropical tree species, Pinus yunnanensis Franch. and Pinus armandii Franch. High-throughput sequencing was performed using the Illumina MiSeq platform. Statistical analyses, including analysis of variance (ANOVA), linear mixed-effects models, principal coordinate analysis (PCoA), analysis of similarity (ANOSIM), redundancy analysis (RDA), random forest analysis, and structural equation modeling (SEM), were used to examine the short-term responses of soil nutrients, bacterial communities, and fungal community structures to nitrogen deposition. Results and discussion The results showed that species differences led to variations in soil properties between the two forests, particularly a significant increase in soil pH in P. yunnanensis Franch. forests and a significant decrease in soil pH in P. armandii Franch. forests. Nitrogen addition did not significantly affect microbial diversity in either P. yunnanensis Franch. or P. armandii Franch. soils; however, forest type differences had a significant impact on bacterial diversity. The nitrogen addition significantly affected the relative abundance of specific microbial communities in both forest types, particularly altering the fungal community structure in the P. yunnanensis Franch forests, while no significant changes were observed in the bacterial community structure in either forest type. Furthermore, nitrogen addition increased the network complexity of bacterial communities in P. yunnanensis Franch. forests while decreasing network complexity in P. armandii Franch. forests. Structural equation modeling indicated that nitrogen addition regulates soil bacterial and fungal diversity in both forest types by modifying nitrogen availability. Purpose and significance These findings provide insights into the potential long-term impacts of nitrogen deposition on subtropical planted forest ecosystems and offer a theoretical basis for sustainable forest management and regulatory practices.
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Presently, very sparse information exists about the occurrences and diversity of microbes in the western Indian Ocean (WIO) relative to other areas of the ocean. In this study, high‐throughput sequencing of 16S rRNA genes and metagenomic approaches were utilised to examine microbial assemblages in Kenya and Tanzania. Results from 24 locations showed that Proteobacterial members made up the majority of the bacterial assemblages. Other dominant phyla were Bacteroidetes (9%–10%), Firmicutes (1.4%–8%), Actinobacteria (4%–6%) and Acidobacter (3.4%–3.6%). Combinations of diversity (alpha and beta) as well as Pearson correlation analyses showed that assemblages in Kenya clustered together and differed from those in Tanzania because of covariation with various environmental factors, such as temperature and salinity.
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