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Metaz for linux3/17/2023 ![]() ![]() We conclude that Blastocystis colonization is significantly associated with a higher diversity of the gut bacterial communities in healthy children, while it is not associated with the presence of potentially pathogenic bacteria in the human gut.Īstaxanthin is an important antioxidant with many biological activities such as anti-tumor, anti-obesity, cardioprotective, and immuno-modulatory activities. (family Lachnospiraceae) abundance was higher in Blastocystis-colonized children. Moreover, Faecalibacterium prausnitzii (family Ruminococcaceae) and Roseburia sp. The phyla Firmicutes, Elusimicrobia, Lentisphaerae, and Euryarchaeota were higher in Blastocystis-colonized children, whereas Actinobacteria, Proteobacteria, unassigned bacteria, and Deinococcus–Thermus were higher in Blastocystis-noncolonized children. The gut microbiota diversity was higher in Blastocystis-colonized compared to Blastocystis-noncolonized children. We conducted a cross-sectional study on 147 Blastocystis-colonized and 149 Blastocystis-noncolonized Malian children, with Blastocystis colonization assessed by real-time PCR and gut microbial communities characterized via 16S rRNA gene (Illumina MiSeq) sequencing and bioinformatics analysis. This study aimed to assess the influence of Blastocystis on the gut bacterial communities in healthy children. Although it has been associated with human diseases, including inflammatory bowel disease, its pathogenicity remains controversial. It modulates the human digestive microbiota in the absence of inflammation and gastrointestinal disease. ![]() A harmonization procedure is needed to move the field forward.īlastocystis is the most common protozoan colonizing the gut of vertebrates. The use of different bioinformatic pipelines affects the estimation of the relative abundance of gut microbial community, indicating that studies using different pipelines cannot be directly compared. However, a difference in terms of relative abundance was identified for all phyla (p < 0.013) and for the majority of the most abundant genera (p < 0.028), such as Bacteroides (QIIME2: 24.5%, Bioconductor: 24.6%, UPARSE-linux: 23.6%, UPARSE-mac: 20.6%, mothur-linux: 22.2%, mothur-mac: 21.6%, p < 0.001). Taxa assignments were consistent at both phylum and genus level across all the pipelines. QIIME2 and Bioconductor provided identical outputs on Linux and Mac OS, while UPARSE and mothur reported only minimal differences between OS. We compared phyla and genera identification and relative abundances across the four pipelines using the Friedman rank sum test. We applied the SILVA 132 reference database for all the pipelines. Here, we compared four commonly used pipelines (QIIME2, Bioconductor, UPARSE and mothur) run on two operating systems (OS) (Linux and Mac), to evaluate the impact of bioinformatic pipeline and OS on the taxonomic classification of 40 human stool samples. Microbial identification might be influenced by several factors, including the choice of bioinformatic pipelines, making comparisons across studies difficult. ![]() Overall, we observed the existence of a beneficial effect in situations where some microorganisms can improve the health status of the host, while the presence of other microorganisms has been associated with pathologies, resulting in an adverse effect on human health.Īmplicon high-throughput sequencing of 16S ribosomal RNA (rRNA) gene is currently the most widely used technique to investigate complex gut microbial communities. After a brief description of the metagenomic methods used in the studies analysed, we summarise the findings of available publications describing the interaction between the bacterial communities and protozoa, helminths, and fungi, either in vitro, in experimental models, or in humans. This review aims at assessing the current knowledge on interactions between prokaryotic and eukaryotic communities. The interaction between the host and their microbiota has become a field of research into microorganisms with therapeutic and preventive interest for public health applications. The recent advent of next generation sequencing (NGS) technologies enhanced observational capacities and allowed for a better understanding of the relationship between distinct microorganisms within microbiota. antibiotic treatment), climate, season, and host genetics. In human, the structure and diversity of microbiota vary according to the host’s immunity, diet, environment, age, physiological and metabolic status, medical practices (e.g. Microorganisms, including bacteria, archaea, viruses, parasites, and fungi, have often long co-evolved with their hosts. The nature of the relationship between the communities of microorganisms making up the microbiota in and on a host body has been increasingly explored in recent years. ![]()
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