Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Combined transcriptome and miRNA-based analysis of the molecular mechanism of collection preference in Italian honey bees

ABSTRACT: Combined transcriptome and miRNA-based analysis of the molecular mechanism of collection preference in Italian honey bees

PROVIDER: PRJNA960873 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR24282623_1.fastq.gz	Fastqsanger.gz
	SRR24282623_2.fastq.gz	Fastqsanger.gz
	SRR24282624_1.fastq.gz	Fastqsanger.gz
	SRR24282624_2.fastq.gz	Fastqsanger.gz
	SRR24282625_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 36

Similar Datasets

Combined transcriptome and miRNA-based analysis of the molecular mechanism of collection preference in Italian honey bees

Project description:A combined transcriptomic and miRNA-based analysis of the molecular mechanism of collection preference in Italian honey bees was conducted, mainly selecting the long-range sensor tentacles and the proximal sensor mouthparts.

2024-04-22 | GSE230384 | GEO

Trancriptome analysis of honey bees (Apis mellifera) infected with Nosema ceranae

Project description:The microsporidia Nosema ceranae are intracellular parasites that proliferate in the midgut epithelial cells of honey bees (Apis mellifera). To analyze the pathological effects of those microsporidia, we orally infected honey bee workers 7 days after their emergence. Bees were flash frozen 15 days after the infection. Then, the effects on the gut ventriculi were analyzed and compared to non-infected (control) bees.

2012-05-23 | GSE25455 | GEO

Apis - Antennae from honey bees

Project description:Antennae from honey bees

2011-01-11 | PRD000337 | Pride

The habitat disruption induces immune-suppression and oxidative stress in honey bees

Project description:Background: Honey bee is a major insect used for pollination of a number of commercial crops worldwide. However, the number of managed honey bee colonies has recently declined in several countries, and a number of possible causes are proposed. Although the use of honey bees for pollination can be considered as disruption of the habitat, its effects on honey bees' physiology have never been addressed. In Japan, more than 100 thousands colonies are annually used for pollination, and intriguingly 80% of them are used in greenhouses. Recently, honey bee colonies have often collapsed when they are introduced into greenhouses. Thus, to suppress colony collapses and maintain the number of worker bees in the colonies are essential for successful long-term pollination in greenhouses and recycling honey bee colonies.

2011-05-12 | GSE29252 | GEO

Expression differences related to phenobarbital feeding in worker honey bees

Project description:The drug phenobarbital induces cytochrome P450 monooxygenase (P450) gene expression in many animals, but no changes in P450 expression, or expression of any detoxification genes, were observed in worker honey bees fed on phenobarbital-candy relative to bees fed plain candy. Keywords: Expression profiling by array

2012-05-12 | GSE34029 | GEO

Nutrigenomics in honey bees: the impact of pollen nutrients on bee health

Project description:We studied the molecular mechanisms underlying the impact of pollen nutrients on honey bee (Apis mellifera) health and how those nutrients improve resistance to parasites. Using digital gene expression, we determined the changes in gene expression induced by pollen intake in worker bees parasitized or not by the mites Varroa destructor, known for suppressing immunity and decreasing lifespan of bees.

2011-11-06 | GSE25161 | GEO

The habitat disruption induces immune-suppression and oxidative stress in honey bees

2011-05-12 | E-GEOD-29252 | biostudies-arrayexpress

Parallel Epigenomic and Transcriptomic Responses to Viral Infection in Honey Bees (Apis mellifera)

Project description:Here, we examined the transcriptional and epigenetic (DNA methylation) responses to viral infection in honey bee workers. One-day old worker honey bees were fed solutions containing Israeli Acute Paralysis Virus (IAPV), a virus which causes muscle paralysis and death and has previously been associated with colony loss. Uninfected control and infected, symptomatic bees were collected within 20-24 hours after infection. Worker fat bodies, the primary tissue involved in metabolism, detoxification and immune responses, were collected for analysis. We performed transcriptome- and bisulfite-sequencing of the worker fat bodies to identify genome-wide gene expression and DNA methylation patterns associated with viral infection. There were 753 differentially expressed genes (FDR<0.05) in infected versus control bees, including several genes involved in epigenetic and antiviral pathways. DNA methylation status of 156 genes (FDR<0.1) changed significantly as a result of the infection, including those involved in antiviral responses in humans. There was no significant overlap between the significantly differentially expressed and significantly differentially methylated genes, and indeed, the genomic characteristics of these sets of genes were quite distinct. Our results indicate that honey bees have two distinct molecular pathways, mediated by transcription and methylation, that modulate protein levels and/or function in response to viral infections.

2015-02-06 | GSE65659 | GEO

Trancriptome analysis of honey bees (Apis mellifera) infected with Nosema ceranae

2011-08-31 | E-GEOD-25455 | biostudies-arrayexpress

Analysis of the honey bee brain transcriptome from nurses and forager bees

Project description:New insights into the transcriptional regulation of behavioral plasticity in honey bees gained by analyzing brain genes expression with the CAGEscan technique that involves identification of specific transcription factors, cis regulatory motifs and alternate transcriptional start sites

2015-07-01 | GSE64315 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data