Insect gut metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA433530 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR6737260_1.fastq.gz | Fastqsanger.gz | |||
| SRR6737260_2.fastq.gz | Fastqsanger.gz | |||
| SRR6737270_1.fastq.gz | Fastqsanger.gz | |||
| SRR6737270_2.fastq.gz | Fastqsanger.gz | |||
| SRR6737280_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 586 |
Similar Datasets
Project description:Gut microbiome research is rapidly moving towards the functional characterization of the microbiota by means of shotgun meta-omics. Here, we selected a cohort of healthy subjects from an indigenous and monitored Sardinian population to analyze their gut microbiota using both shotgun metagenomics and shotgun metaproteomics. We found a considerable divergence between genetic potential and functional activity of the human healthy gut microbiota, in spite of a quite comparable taxonomic structure revealed by the two approaches. Investigation of inter-individual variability of taxonomic features revealed Bacteroides and Akkermansia as remarkably conserved and variable in abundance within the population, respectively. Firmicutes-driven butyrogenesis (mainly due to Faecalibacterium spp.) was shown to be the functional activity with the higher expression rate and the lower inter-individual variability in the study cohort, highlighting the key importance of the biosynthesis of this microbial by-product for the gut homeostasis. The taxon-specific contribution to functional activities and metabolic tasks was also examined, giving insights into the peculiar role of several gut microbiota members in carbohydrate metabolism (including polysaccharide degradation, glycan transport, glycolysis and short-chain fatty acid production). In conclusion, our results provide useful indications regarding the main functions actively exerted by the gut microbiota members of a healthy human cohort, and support metaproteomics as a valuable approach to investigate the functional role of the gut microbiota in health and disease.
2017-07-19 | PXD005780 | Pride
Project description:Metagenomic analyses are challenging in metazoans, but high-copy number and repeat regions can be assembled from low-coverage sequencing by "genome skimming," which is applied here as a new way of characterizing metagenomes obtained in an ecological or taxonomic context. Illumina shotgun sequencing on two pools of Coleoptera (beetles) of approximately 200 species each were assembled into tens of thousands of scaffolds. Repeated low-coverage sequencing recovered similar scaffold sets consistently, although approximately 70% of scaffolds could not be identified against existing genome databases. Identifiable scaffolds included mitochondrial DNA, conserved sequences with hits to expressed sequence tag and protein databases, and known repeat elements of high and low complexity, including numerous copies of rRNA and histone genes. Assemblies of histones captured a diversity of gene order and primary sequence in Coleoptera. Scaffolds with similarity to multiple sites in available coleopteran genome sequences for Dendroctonus and Tribolium revealed high specificity of scaffolds to either of these genomes, in particular for high-copy number repeats. Numerous "clusters" of scaffolds mapped to the same genomic site revealed intra- and/or intergenomic variation within a metagenome pool. In addition to effect of taxonomic composition of the metagenomes, the number of mapped scaffolds also revealed structural differences between the two reference genomes, although the significance of this striking finding remains unclear. Finally, apparently exogenous sequences were recovered, including potential food plants, fungal pathogens, and bacterial symbionts. The "metagenome skimming" approach is useful for capturing the genomic diversity of poorly studied, species-rich lineages and opens new prospects in environmental genomics.
| S-EPMC4494052 | biostudies-literature
Project description:Drosophila gut microbiome in adult flies which experienced larval IMD activation
| PRJDB11190 | ENA
Project description:Drosophila gut microbes Raw sequence reads
| PRJNA674513 | ENA
Project description:insect gut metagenome Genome sequencing
| PRJNA674528 | ENA
Project description:insect gut metagenome Genome sequencing
| PRJNA674540 | ENA
Project description:Pieris brassicae gut 16S metabarcoding reads
| PRJNA640344 | ENA
Project description:ant Cephalotes rohweri gut bacteria sequence reads
| PRJNA308620 | ENA
Project description:A bacterial filter protects and structures the gut microbiome of an insect
| PRJNA308621 | ENA