Project description:In this study we investigated whether gut microbiota profile of Italian healthy volunteers could differ based on their geaographical origin. To this purpose, fecal samples were collected from 31 healthy individuals living in 3 different italian regions (Lombardy, North; Lazio, Center; Apulia, South) and their respective microbiota profiles were analyzed employing 16S metagenomic sequencing method. This study identifies differences in the gut microbiota content and richness among individuals with the same ethnicity coming from three different Italian regions.
Project description:Metagenomic sequencing of mice with different treatments: Mice were randomly divided into donor control group (Donor + MRS), constipation model group (STC + MRS), or a Lactobacillus acidophilus treated group (STC + La): A humanized mouse model was established by intragastric administration of fecal bacterial liquid from healthy donors or STC patients on alternate days, followed by continuous administration of Lactobacillus acidophilus in treatment group. Finally, the feces of each group of mice were collected, and the intestinal microbial communities of the mice were analyzed through metagenomic sequencing. 16S rRNA sequencing of mice before and after the use antibiotics: Before and after treating the mice with antibiotics, the mice's feces were collected for 16s rRNA sequencing respectively.
Project description:Asymptomatic plants grown in natural soil are colonized by phylogenetically structured communities of microbes known as the microbiota. Individual microbes can activate microbe-associated molecular pattern (MAMP)-triggered immunity (MTI), which limits pathogen proliferation but curtails plant growth, a phenomenon known as the growth-defense trade-off. We report that in mono-associations, 41% (62/151) of taxonomically diverse root bacteria commensals suppress Arabidopsis thaliana root growth inhibition (RGI) triggered by immune-stimulating MAMPs or damage-associated molecular patterns. Amplicon sequencing of bacteria 16S rRNA genes reveal that immune activation alters the profile of synthetic communities (SynComs) comprised of RGI-non-suppressive strains, while the presence of RGI-suppressive strains attenuates this effect. Root colonization by SynComs with different complexities and RGI-suppressive activities alters the expression of 174 core host genes with functions related to root development and nutrient transport. Further, RGI-suppressive SynComs specifically downregulate a subset of immune-related genes. Mutation of one commensal-downregulated transcription factor, MYB15, or pre-colonization with RGI-suppressive SynComs render plants more susceptible to opportunistic Pseudomonas pathogens. Our results suggest that RGI-non-suppressive and suppressive root commensals modulate host susceptibility to pathogens by either eliciting or dampening MTI responses, respectively. This interplay buffers the plant immune system against pathogen perturbation and defense-associated growth inhibition, ultimately leading to commensal-host homeostasis.
Project description:In order to investigate the diurnal oscillations of ruminal bacteria, and their responses to the changes in different feeding patterns, we conducted an animal experiment by feeding the sheep ad libitum with a hay-based diet (50% of alfalfa hay and 46% of oats hay) and a grain-based diet (45% of corn meal and 11% of soybean meal) for 30 days, and ruminal fluid samples were collected at six different timepoints from T2 to T22 in one day, and the composition and diversity of the bacterial communities in rumen microbiomes of the sheep in the Grain-diet and Hay-diet groups at different timepoints were analyzed through 16S rRNA sequencing.
Project description:In Drosophila, we tried to determine the microbiota associated with age-dependent sleep fragmentation. To this end, the aged male flies showing sleep fragmentation was sampled to compare with those without showing sleep fragmentation. Using an optimized data analysis workflow, we obtained about 0.1 million reads of 16s rDNA from single flies. Data indicated different microbiome between two groups.