Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

2018 Australia fish microbiome study

ABSTRACT: 2018 Australia fish microbiome study

PROVIDER: PRJEB36802 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR3929700.fastq.gz	Fastqsanger.gz
	ERR3929710.fastq.gz	Fastqsanger.gz
	ERR3929720.fastq.gz	Fastqsanger.gz
	ERR3929730.fastq.gz	Fastqsanger.gz
	ERR3929740.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 798

Similar Datasets

Fish sauce microbiome

Project description:Fish sauce microbiome

| PRJEB101114 | ENA

Fish guts microbiome

Project description:Fish guts microbiome Metagenome

| PRJNA1112800 | ENA

Listeria Study 2015- 2018 Ireland

Project description:Listeria Study 2015- 2018 Ireland

| PRJEB88151 | ENA

fish gut microbiome

Project description:fish gut microbiome Genome sequencing

| PRJNA783063 | ENA

fish gut microbiome

Project description:fish gut microbiome Raw sequence reads

| PRJNA1290018 | ENA

Gut microbiome of fish

Project description:Gut microbiome of fish Raw sequence reads

| PRJNA948171 | ENA

Taxonomic study of Gulosibacter sp. 401352-2018

Project description:Taxonomic study of Gulosibacter sp. 401352-2018

| PRJEB40248 | ENA

Insights into the natural defences of a coral reef fish against gill ectoparasites: integrated metabolome and microbiome approach.

Project description:Understanding natural defence mechanisms against parasites can be a valuable tool for the development of innovative therapies. In this study, we investigated the interplay between the gill mucus metabolome and microbiome of Chaetodon lunulatus, a butterflyfish known to avoid gill monogeneans whilst living amongst closely related parasitized species. In an attempt to identify metabolites and OTUs potentially involved in parasite defence mechanisms, we studied the metabolome (LC-MS/MS) and microbiome of several sympatric butterflyfish species, including the only non-parasitized species C. lunulatus. After observing significant differences between the metabolome and microbiome of parasitized versus non-parasitized fish (PCoA, ANOSIM), we obtained the discriminant metabolites and OTUs using a supervised analysis. Some of the most important discriminant metabolites were identified as peptides, and three new β-subunit haemoblogin-derived peptides from C. lunulatus (CLHbβ-1, CLHbβ-2 and CLHbβ-3) were purified, characterised and synthesised. We also identified specific bacterial families and OTUs typical from low-oxygen habitats in C. lunulatus gill mucus. By using a correlation network between the two datasets, we found a Fusobacteriaceae strain exclusively present in C. lunulatus highly correlated to the peptides. Finally, we discuss the possible involvement of these peptides and Fusobacteriaceae in monogenean avoidance by this fish species.

2020-11-25 | PXD018867 | Pride

YWI microbiome study

Project description:YWI microbiome study

| PRJEB30568 | ENA

FISH kidney and liver microbiome

Project description:FISH kidney and liver microbiome Metagenome

| PRJNA564726 | ENA