Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Invertebrate metagenome

ABSTRACT: Entomophilic Nematodes Inhabit Beetles with Distinct Microbiomes

PROVIDER: PRJNA294696 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR3213080.fastq.gz	Fastqsanger.gz
	SRR3213080_1.fastq.gz	Fastqsanger.gz
	SRR3213080_2.fastq.gz	Fastqsanger.gz
	SRR3213090.fastq.gz	Fastqsanger.gz
	SRR3213090_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 960

Similar Datasets

Single sample resolution of rare microbial dark matter in a marine invertebrate metagenome.

Project description:Direct, untargeted sequencing of environmental samples (metagenomics) and de novo genome assembly enable the study of uncultured and phylogenetically divergent organisms. However, separating individual genomes from a mixed community has often relied on the differential-coverage analysis of multiple, deeply sequenced samples. In the metagenomic investigation of the marine bryozoan Bugula neritina, we uncovered seven bacterial genomes associated with a single B. neritina individual that appeared to be transient associates, two of which were unique to one individual and undetectable using certain "universal" 16S rRNA primers and probes. We recovered high quality genome assemblies for several rare instances of "microbial dark matter," or phylogenetically divergent bacteria lacking genomes in reference databases, from a single tissue sample that was not subjected to any physical or chemical pre-treatment. One of these rare, divergent organisms has a small (593 kbp), poorly annotated genome with low GC content (20.9%) and a 16S rRNA gene with just 65% sequence similarity to the closest reference sequence. Our findings illustrate the importance of sampling strategy and de novo assembly of metagenomic reads to understand the extent and function of bacterial biodiversity.

| S-EPMC5041132 | biostudies-literature

Antimicrobial activity and carbohydrate metabolism in the bacterial metagenome of the soil-living invertebrate Folsomia candida.

Project description:The microbiome associated with an animal's gut and other organs is considered an integral part of its ecological functions and adaptive capacity. To better understand how microbial communities influence activities and capacities of the host, we need more information on the functions that are encoded in a microbiome. Until now, the information about soil invertebrate microbiomes is mostly based on taxonomic characterization, achieved through culturing and amplicon sequencing. Using shotgun sequencing and various bioinformatics approaches we explored functions in the bacterial metagenome associated with the soil invertebrate Folsomia candida, an established model organism in soil ecology with a fully sequenced, high-quality genome assembly. Our metagenome analysis revealed a remarkable diversity of genes associated with antimicrobial activity and carbohydrate metabolism. The microbiome also contains several homologs to F. candida genes that were previously identified as candidates for horizontal gene transfer (HGT). We suggest that the carbohydrate- and antimicrobial-related functions encoded by Folsomia's metagenome play a role in the digestion of recalcitrant soil-born polysaccharides and the defense against pathogens, thereby significantly contributing to the adaptation of these animals to life in the soil. Furthermore, the transfer of genes from the microbiome may constitute an important source of new functions for the springtail.

| S-EPMC6513849 | biostudies-literature

Project description:Microbiomes associated with active and non-motile nematodes

| PRJNA878676 | ENA

invertebrate metagenome

Project description:Wolbachia_biotin

| PRJNA883651 | ENA

invertebrate metagenome

Project description:Candidatus Sedimenticola sp. (ex Thyasira tokunagai) Genome sequencing and assembly

| PRJNA995037 | ENA

invertebrate metagenome

Project description:Microbiome of homarus americanus shell Raw sequence reads

| PRJNA307069 | ENA