ArticleInternational journal of molecular sciences2016
Integrative Analysis of Metabolomic, Proteomic and Genomic Data to Reveal Functional Pathways and Candidate Genes for Drip Loss in Pigs.
Article in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Multi-omics reveals molecular basis of beef quality differences between Qinchuan and Nanyang cattle.Food chemistry. Molecular sciences · 2026Article
- Transcriptomics and metabolomics insights into the seasonal dynamics of meat quality in yak on the Qinghai-Tibetan Plateau.BMC genomics · 2024Article
- A genome-wide association study on growth traits of Korean commercial pig breeds using Bayesian methods.Animal bioscience · 2024Article
- Integration of transcriptome and machine learning to identify the potential key genes and regulatory networks affecting drip loss in pork.Journal of animal science · 2024Article
- Transcriptome-wide association studies identify candidate genes for carcass and meat traits in meat rabbits.Frontiers in veterinary science · 2024Article
- HPLC-QTRAP-MS-based metabolomics approach investigates the formation mechanisms of meat quality and flavor of Beijing You chicken.Food chemistry: X · 2023Article
- - Invited Review - Postmortem skeletal muscle metabolism of farm animals approached with metabolomics.Animal bioscience · 2023Article
- Plasma Metabolomic Profiling Reveals Preliminary Biomarkers of Pork Quality Based on pH Value.Foods (Basel, Switzerland) · 2022Article
- Sexual Dimorphism of Metabolite Profiles in Pigs Depends on the Genetic Background.Metabolites · 2021Article
- Application of Proteomic Technologies to Assess the Quality of Raw Pork and Pork Products: An Overview from Farm-To-Fork.Biology · 2020Review
- MEATabolomics: Muscle and Meat Metabolomics in Domestic Animals.Metabolites · 2020Review
- Bioinformatics Methods for Mass Spectrometry-Based Proteomics Data Analysis.International journal of molecular sciences · 2020Review
- Comparative gene expression profiling of muscle reveals potential candidate genes affecting drip loss in pork.BMC genetics · 2019Article
- Rearing pattern alters porcine myofiber type, fat deposition, associated microbial communities and functional capacity.BMC microbiology · 2019Article
- Identification of muscle-specific candidate genes in Simmental beef cattle using imputed next generation sequencing.PloS one · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study was to integrate multi omics data to characterize underlying functional pathways and candidate genes for drip loss in pigs. The consideration of different omics levels allows elucidating the black box of phenotype expression. Metabolite and protein profiling was applied in Musculus longissimus dorsi samples of 97 Duroc × Pietrain pigs. In total, 126 and 35 annotated metabolites and proteins were quantified, respectively. In addition, all animals were genotyped with the porcine 60 k Illumina beadchip. An enrichment analysis resulted in 10 pathways, amongst others, sphingolipid metabolism and glycolysis/gluconeogenesis, with significant influence on drip loss. Drip loss and 22 metabolic components were analyzed as intermediate phenotypes within a genome-wide association study (GWAS). We detected significantly associated genetic markers and candidate genes for drip loss and for most of the metabolic components. On chromosome 18, a region with promising candidate genes was identified based on SNPs associated with drip loss, the protein "phosphoglycerate mutase 2" and the metabolite glycine. We hypothesize that association studies based on intermediate phenotypes are able to provide comprehensive insights in the genetic variation of genes directly involved in the metabolism of performance traits. In this way, the analyses contribute to identify reliable candidate genes.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.