Low coverage sequencing data of Duroc boars
Ontology highlight
ABSTRACT:
INSTRUMENT(S): MGISEQ-2000
ORGANISM(S): Sus Scrofa
SUBMITTER: EBI
PROVIDER: PRJEB44569 | EVA | 2021-04-30
REPOSITORIES: EVA
Dataset's files
Items per page: 5 1 - 5 of 41 |
Similar Datasets
Project description:DNA was isolated from whole red blood cells from various lines and crosses of broiler chickens. DNA was genotyped using Axiom genome-wide chicken array and cel files were analyzed using Axiom Analysis Suite Software (version 3.0.1) with Gallus gallus 5.0 using the software's Best Practices for agricultural animals. The results were exported (Genotyping_Data-3-21-2018.vcf) for all genotype calls and text file of all SNPs with >= 97% call rate rate was also produced for filtering the VCF file (ALL_SNPSs_with_Call_Rate_97_Plus_3-21-2018).
2019-05-25 | GSE131764 | GEO
Project description:The cultivated peanut, A. hypogaea L., is a critical oil and food crop worldwide. Decoding the genetic makeup behind natural variation in kernel oil and fatty acid concentrations is crucial for molecular breeding-based nutrient quantity and quality manipulation. Herein, we recognized 87 quantitative trait loci (QTLs) in 45 genomic regions for the concentrations of oil, oleic acid, and linoleic acid, as well as the oleic acid to linoleic acid (O/L) ratio via a genome-wide association study (GWAS) involving 499 peanut accessions. Eight QTLs clarified over 15% of the phenotypic variation in peanut accessions. Among the 45 potential genes significantly related to the 4 traits, only three genes displayed annotation to the fatty acid pathway. Furthermore, on the basis of pleiotropism or linkage data belonging to the identified singular QTLs, we generated a trait-locus axis to better elucidate the genetic background behind the observed oil and fatty acid concentration association. Together, our results provide strong evidence for the genetic mechanism behind oil biosynthesis in A. hypogaea L., facilitating future advances in multiple fatty acid component generation via pyramiding of desirable QTLs This natural population consisting of 499 peanut accessions combined with high-density SNPs will provide a better choice for identifying peanut QTLs/genes in the future. Together, our results provide strong evidence for the genetic mechanism behind oil biosynthesis in peanut, facilitating future advances in multiple fatty acid component generation via pyramiding of desirable QTLs.
2025-05-05 | GSE289195 | GEO
Project description:Mear prodution is the most important trait for sheep. In this study, we performed a Genome-wide association study (GWAS) by using Illumina Ovine SNP50 BeadChip in 329 purebred sheep phenotyped for 11 growth and meat production traits (birth weight, weaning weight, 6-month weight, eye muscle area, fat thickness, pre-weaning gain, post-weaning gain, daily weight gain, height at withers , chest girth and shin circumference). A total of 319 sheep and 48,198 SNPs were fitted using TASSEL 3.0 software as random effects in a mixed linear model. 36 chromosome-wise significant SNPs were identified for 7 traits and 10 of them reached genome-wide significance level consistently for post-weaning gain. Gene annotation was implemented based on the latest version3.1 ovine genome sequence (released October 2012), and meanwhile we referenced genomic information of human, bovine, mouse and rat. More than one-third SNPs (14 out of 36) were located within ovine genes , some other were located close to ovine genes (878bp-398165bp apart).
2015-05-01 | GSE46231 | GEO
Project description:Protein lysine acylation, such as succinylation and acetylation are important posttranslational modification (PTM) mechanisms, with key roles in the regulation of diverse metabolic and cellular processes. Antibody-based affinity enrichment, high-resolution LC-MS/MS analysis and integrated bioinformatics analysis, were used to characterize the lysine succinylome (Ksuc) and acetylome (Kace) in rice leaves. Rice (Oryza sativa., Wuyunjing 7) was kindly provided byJiangsu Academy of Agricultural Sciences, Jiangsu Province, China. Rice seeds were surface-sterilized with 5% NaClO for 20 min, washed extensively with distilled water and then germinated in distilled water at 28ºC for 2 days. Germinated seeds were cultivated on half-strength ammonium-free Murashige and Skoog (MS) medium. For oxidative stress treatments, 14-days-old rice seedlings were transferred to 1/2 MS medium in the absence or presence of 1 mM H2O2 for 6 days. Rice seedlings were then harvested for protein extraction.
2018-07-23 | PXD007175 | Pride
Project description:Mear prodution is the most important trait for sheep. In this study, we performed a Genome-wide association study (GWAS) by using Illumina Ovine SNP50 BeadChip in 329 purebred sheep phenotyped for 11 growth and meat production traits (birth weight, weaning weight, 6-month weight, eye muscle area, fat thickness, pre-weaning gain, post-weaning gain, daily weight gain, height at withers , chest girth and shin circumference). A total of 319 sheep and 48,198 SNPs were fitted using TASSEL 3.0 software as random effects in a mixed linear model. 36 chromosome-wise significant SNPs were identified for 7 traits and 10 of them reached genome-wide significance level consistently for post-weaning gain. Gene annotation was implemented based on the latest version3.1 ovine genome sequence (released October 2012), and meanwhile we referenced genomic information of human, bovine, mouse and rat. More than one-third SNPs (14 out of 36) were located within ovine genes , some other were located close to ovine genes (878bp-398165bp apart). 329 sheep DNA were scanned using OvineSNP50 Beadchip and the association is done between the SNP data and 11 different meat prodution traits
2015-05-01 | E-GEOD-46231 | biostudies-arrayexpress
Project description:Single nucleotide polymorphisms (SNPs) are the most common type of genetic variation in gut microbial metagenome and host genome but they could not adequately represent the protein-level variants. Single amino-acid polymorphisms (SAP) derived from non-synonymous SNPs can cause functional changes of proteins and are important forces of adaption. However, SAP remain quite unexplored for human gut microbiome. Here, we present a comprehensive large-scale analysis of SAP in the gut ecosystem, introducing a rigorous computational pipeline for detecting such protein variation from 992 published human metaproteomes.
| PXD062661 |
Project description:Limited access to large samples and independent replication cohorts precludes genome-wide association (GWA) studies of rare but complex traits. To localize candidate genes in an on-going study utilizing family-based GWA, a novel exploratory analysis was first tested on 1,774 major histocompatibility complex single nucleotide polymorphisms (SNPs) in 240 DNA samples from 80 children with primary liver transplantation (LTx), and their biological parents. Genotyping was performed using the Illumina HumHap550k SNP BeadArray; the genotype calls for the 1813 SNPs in the MHC region are provided in the genotype_data.zip supplementary file linked to this series (see README file in the zip archive for more information). The Affymetrix Human Exon 1.0 ST array was used to measure differential splicing patterns in archived RNA isolated from 26 of 80 children for genes found near associated SNPs. This SuperSeries is composed of the SubSeries listed below.
2008-09-15 | GSE11361 | GEO
Project description:Although most disease associations detected by GWAS are nongenic, very few have been mapped to causal regulatory variants. Here, we present a method for detecting regulatory QTLs that does not require genotyping or whole-genome sequencing. The method combines deep, long-read ChIP-seq with a new statistical test that simultaneously scores peak height correlation and allelic imbalance: the Genotype-independent Signal Correlation and Imbalance (G-SCI) test. We performed histone acetylation ChIP-seq on 57 human lymphoblastoid cell lines and used the resulting reads to call 500,066 SNPs de novo within regulatory elements. The G-SCI test annotated 8,764 of these as histone acetylation QTLs (haQTLs) - an order of magnitude larger than the set of candidates detected by expression QTL analysis. Lymphoblastoid haQTLs were highly predictive of autoimmune disease mechanisms. Thus, our method facilitates large-scale regulatory variant detection in any moderately-sized cohort for which functional profiling data can be generated, thus simplifying identification of causal variants within GWAS loci. We applied our method, named Regulatory Variant Ascertainment and chromatin Regression by sequencing (RegVAR-seq), to 57 cell lines from a single population group. We used the resulting sequence data for variant calling, and validated calls using an independent platform. We then identified histone acetylation QTLs (haQTLs) using a novel statistical test that requires no prior genotype information and combines peak height and allelic imbalance data across the 57 individuals. Transcription factor binding site analysis was used to independently support the functionality of haQTLs. Finally, we examined the association between haQTLs and SNPs associated with human phenotypes.
2015-03-01 | E-GEOD-58852 | biostudies-arrayexpress
Project description:Genetic dissection of the S rat genome has provided strong evidence for the presence of two interacting blood pressure (BP) quantitative trait loci (QTLs), termed QTL1 and QTL2, on rat chromosome 5. However, the identities of the underlying interacting genetic factors remain unknown. Further experiments targeted to identify the interacting genetic factors by the substitution mapping approach alone are difficult because of the interdependency of natural recombinations to occur at the two QTLs. We hypothesized that the interacting genetic factors underlying these two QTLs may interact at the level of gene transcription and thereby represent expression QTLs (eQTLs). To detect these interacting eQTLs, a custom QTL chip containing the annotated genes within QTL1 and QTL2 was developed and used to conduct a transcriptional profiling study of S and two congenic strains that retain either one or both the QTLs. The results uncovered an interaction between two transcription factors, DMRTA2 and NFIA. Further, the ‘biological signature’ elicited by these two transcription factors was differential between the congenic strain that retained LEW alleles at both QTL1 and 2 compared to the congenic strain that retained LEW alleles at QTL1 alone. A network of transcription factors potentially affecting BP could be traced, lending support to our hypothesis. Keywords: rat, hypertension, genetics, polygenic trait, microarray, gene expression
2008-03-04 | GSE7628 | GEO
Project description:Ramie is an important industrial fiber crop, and the fiber yield and its related traits are the most valuable traits in ramie production. However, the genetic basis for these traits is still poorly understood. Herein, a high-density genetic map with 1085 markers spanning 2,118.8 cM was constructed using a population derived from two parents, cultivated ramie Zhongsizhu 1 (ZSZ1) and its wild progenitor B. nivea var. tenacissima (BNT). The fiber yield (FY) and its four related traits—stem diameter (SD) and length (SL), stem bark weight (BW) and thickness (BT)—were performed for quantitative trait locus (QTL) analysis, resulting in eight, six, six, three, and ten QTLs for SD, SL, BW, BD and FY traits, respectively. These 33 QTLs were mapped into 11 genomic regions, thus forming 11 QTL clusters; there were 11 QTLs identified their beneficial alleles from the wild species BNT. Interestingly, all QTLs in Cluster 8 and Cluster 10 displayed overdominance, indicating that these two regions were likely heterotic loci. In addition, there were five fiber yield-related genes identified to undergo positive selection in previous study, and they were found to locate into the genomic region near to the QTLs of this study. The genetic dissection for FY and its related traits improved our understanding to the genetic basis of these traits, as well to their domestication in ramie. The identification of many QTLs and the discovery of beneficial alleles from wild species provided a basis for the improvement of yield traits in ramie breeding.
2019-01-31 | GSE125891 | GEO