Differential DNA Methylation in Somatic and Sperm cells of Hatchery versus Wild (Natural-Origin) Steelhead Trout Populations
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA608677 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The study was designed to investigate the impacts of hatchery spawning and rearing on steelhead trout (Oncorhynchus mykiss) versus the wild fish on a molecular level. Additionally, epigenetic differences between feeding practices that allow slow growth and fast growth hatchery trout were investigated. The sperm and RBC DNA both had a large number of DMRs when comparing the hatchery versus wild steelhead trout populations. Interestingly, the DMRs were cell type specific with negligible overlap. Slow growth compared to fast growth steelhead also had a larger number of DMRs in the RBC samples. Observations demonstrate a major epigenetic programming difference between the hatchery and wild fish populations, but negligible genetic differences. Therefore, hatchery conditions and growth rate can alter the epigenetic developmental programming of the steelhead trout, which may correlate to the phenotypic variations observed.
2020-05-24 | GSE145887 | GEO
Project description:Environmental factors such as nutrition, stress, and toxicants can influence epigenetic programming and phenotypes of a wide variety of species from plants to humans. The current study was designed to investigate the impacts of hatchery spawning and rearing on steelhead trout (Oncorhynchus mykiss) vs the wild fish on a molecular level. Additionally, epigenetic differences between feeding practices that allow slow growth (2 years) and fast growth (1 year) hatchery trout were investigated. The sperm and red blood cells (RBC) from adult male slow growth/maturation hatchery steelhead, fast growth/maturation hatchery steelhead, and wild (natural-origin) steelhead were collected for DNA preparation to investigate potential alterations in differential DNA methylation regions (DMRs) and genetic mutations, involving copy number variations (CNVs). The sperm and RBC DNA both had a large number of DMRs when comparing the hatchery vs wild steelhead trout populations. The DMRs were cell type specific with negligible overlap. Slow growth/maturation compared to fast growth/maturation steelhead also had a larger number of DMRs in the RBC samples. A number of the DMRs had associated genes that were correlated to various biological processes and pathologies. Observations demonstrate a major epigenetic programming difference between the hatchery and wild natural-origin fish populations, but negligible genetic differences. Therefore, hatchery conditions and growth/maturation rate can alter the epigenetic developmental programming of the steelhead trout. Interestingly, epigenetic alterations in the sperm allow for potential epigenetic transgenerational inheritance of phenotypic variation to future generations. The impacts of hatchery exposures are not only important to consider on the fish exposed, but also on future generations and evolutionary trajectory of fish in the river populations.
| S-EPMC8132314 | biostudies-literature
Project description:Proteomics represents a powerful tool for the analysis of fish spermatozoa, since these cells are transcriptionally inactive. The aim of the present study was to generate an inventory of the most prominent rainbow trout sperm proteins with the use of one-dimensional electrophoresis prefractionation combined with performance liquid chromatography electrospray ionization tandem mass spectrometry. This study provides the first in-depth analysis of the rainbow trout sperm proteome, with a total of 204 identified proteins. We found that rainbow trout spermatozoa are equipped with functionally diverse proteins related to energetic metabolism, signal transduction, protein turnover, transport, cytoskeleton, oxidative injures and stress and reproduction. The availability of a catalogue of rainbow trout sperm proteins provides a crucial tool for the understanding of fundamental molecular processes in fish spermatozoa for ongoing research in the development of novel markers of sperm quality and for the optimization of short- and long-term sperm preservation procedures.
2013-11-04 | PXD000355 | Pride
Project description:To establish contamination profiles, the sperm donors with normal sperm counts were analyzed using an Infinium HumanMethylation450 array. Somatic cell lysis, sperm isolation, DNA extraction, and bisulfite conversion were performed as described by Aston et al. The bisulfite converted sperm DNA was hybridized to Illumina Infinium HumanMethylation450K microarrays at the University of Utah and run as recommended by the manufacturer (Bibikova et al. 2011). Unpaired blood samples were extracted using Qiagen's DNeasy Blood and Tissue kit and bisulfite converted using Zymo's EZ DNA Methylation kit. All procedures were performed according to the instructions of the manufacturer. Four permutations were run on each sample, including pure blood, half blood and half sperm by DNA concentration, half blood and half sperm by cell count, and pure sperm (n = 16). Concentration was normalized using a spectrophotometer. A Makler cell counting chamber was used to count white blood cells and sperm, which were then normalized in a 1:1 ratio.
2023-11-07 | GSE246935 | GEO
Project description:We assessed a novel benchtop approach to detecting somatic cell contamination in human sperm epigenetic studies.
2017-12-16 | GSE108058 | GEO
Project description:The purpose of this data set was to identify the affects of somatic cell introduction of the methylation results of the sperm samples. This data was then used to help build a computational tool to properly identify somatic cell contamination within a sperm sample.
2023-09-01 | GSE237402 | GEO
Project description:Infertility is one of the most common reproductive health disorders affecting 16% of couples in the U.S. Most concerning are the new meta-analysis data showing that sperm counts among men in developed countries have declined over 50% in the past four decades. With no sign of reversing this downward trajectory, we may not only be facing a fertility crisis, but low sperm count also has wider public health implications, including increased risks in morbidity and mortality. Given this dramatic decrease in sperm quality over a short period, genetic influences are likely not attributable, but rather, environmental factors encountered over the life-course. The objective of this pilot project is to determine the feasibility of generating metabolomic data from human seminal plasma collected as part of the ongoing SEEDS cohort.
2022-11-17 | ST002368 | MetabolomicsWorkbench
Project description:Single-sperm Sequence Data from Twenty Sperm Donors
| PRJNA561434 | ENA
Project description:Single-sperm Sequence Data from Twenty Sperm Donors
| PRJNA561433 | ENA
Project description:BACKGROUND: In previous studies using candidate gene approaches, low sperm count (oligospermia) has been associated with altered sperm mRNA content and DNA methylation in both imprinted and non-imprinted genes. We performed a genome-wide analysis of sperm DNA methylation and mRNA content to test for associations with sperm function. METHODS AND RESULTS: Sperm DNA and mRNA were isolated from 21 men with a range of semen parameters presenting to a tertiary male reproductive health clinic. DNA methylation was measured with the Illumina Infinium array at 27,000 CpG loci. Unsupervised clustering of methylation data differentiated the 21 sperm samples by their motility values. Recursively partitioned mixture modeling (RPMM) of methylation data resulted in four distinct methylation profiles that were significantly associated with sperm motility (P=0.01). Linear models of microarray analysis (LIMMA) was performed based on motility and identified 9,189 CpG loci with significantly altered methylation (Q<0.05) in the low motility samples, with many loci located in genes associated with subfertility and epigenetic regulation. In the low motility samples, the majority of disrupted CpG loci (80%) were hypomethylated. Of the aberrantly methylated CpGs, 194 were associated with imprinted genes almost equally distributed into hypermethylated (predominantly paternally expressed) and hypomethylated (predominantly maternally expressed) groups. Sperm mRNA was measured with the Human Gene 1.0 ST Affymetrix GeneChip Array. LIMMA analysis based on motility identified 20 candidate transcripts as differentially expressed in low motility sperm, including HDAC1 (NCBI 3065), SIRT3 (NCBI 23410), and DNMT3A (NCBI 1788). Altered expression of these epigenetic regulatory genes was associated with RPMM DNA methylation class. CONCLUSIONS: Using integrative genome-wide approaches to study epigenetic and gene expression patterns in human sperm we identified CpG methylation profiles and mRNA alterations associated with low sperm motility, and that low motility sperm may have aberrant genome-wide hypomethylation due to excess HDAC1 activity. See summary above
2011-06-02 | E-GEOD-26974 | biostudies-arrayexpress