Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gasterosteus aculeatus

ABSTRACT: ddRAD-seq of PJxPJ F2 cross

PROVIDER: PRJDB8045 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	DRR170787_1.fastq.gz	Fastqsanger.gz
	DRR170787_2.fastq.gz	Fastqsanger.gz
	DRR170788_1.fastq.gz	Fastqsanger.gz
	DRR170788_2.fastq.gz	Fastqsanger.gz
	DRR170789_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 664

Similar Datasets

Gasterosteus aculeatus

Project description:ddRAD-seq of Japanese threespine stickleback populations

| PRJDB7610 | ENA

Gasterosteus aculeatus

Project description:Gasterosteus aculeatus RNA-seq paired with ATAC-seq

| PRJNA686261 | ENA

Gasterosteus aculeatus

Project description:RAD-seq of Lake Washington stickleback

| PRJDB18760 | ENA

Allele-specific gene expression in stickleback (Gasterosteus aculeatus) embryos

Project description:Population-specific Gasterosteus aculeatus gene expression differences at an embryonic time point as assessed by RNA-seq.

2022-09-01 | GSE184887 | GEO

Gasterosteus aculeatus strain:Little Campbell River

Project description:Little Camp F2 high vs low Na Gill RNA-seq

| PRJDB5054 | ENA

Gasterosteus aculeatus

Project description:Whole genome seq of Japanese symaptric threespines

| PRJDB2614 | ENA

Gasterosteus aculeatus

Project description:RNA-seq of 11KA-treated stickleback brain

| PRJDB9514 | ENA

Gasterosteus aculeatus

Project description:RAD-seq of Japanese and European threespine sticklebacks

| PRJDB6907 | ENA

Gasterosteus aculeatus

Project description:Gasterosteus aculeatus RNA-seq miRNA and mRNA sequence reads

| PRJNA420035 | ENA

Heritability of DNA methylation in threespine stickleback (Gasterosteus aculeatus).

Project description:Epigenetic mechanisms underlying phenotypic change are hypothesized to contribute to population persistence and adaptation in the face of environmental change. To date, few studies have explored the heritability of intergenerationally stable methylation levels in natural populations, and little is known about the relative contribution of cis- and trans-regulatory changes to methylation variation. Here, we explore the heritability of DNA methylation, and conduct methylation quantitative trait loci (meQTLs) analysis to investigate the genetic architecture underlying methylation variation between marine and freshwater ecotypes of threespine stickleback (Gasterosteus aculeatus). We quantitatively measured genome-wide DNA methylation in fin tissue using reduced representation bisulfite sequencing of F1 and F2 crosses, and their marine and freshwater source populations. We identified cytosines (CpG sites) that exhibited stable methylation levels across generations. We found that additive genetic variance explained an average of 24-35% of the methylation variance, with a number of CpG sites possibly autonomous from genetic control. We also detected both cis- and trans-meQTLs, with only trans-meQTLs overlapping with previously identified genomic regions of high differentiation between marine and freshwater ecotypes. Finally, we identified the genetic architecture underlying two key CpG sites that were differentially methylated between ecotypes. These findings demonstrate a potential role for DNA methylation in facilitating adaptation to divergent environments and improve our understanding of the heritable basis of population epigenomic variation.

| S-EPMC8045681 | biostudies-literature

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