ArticleBMC genomics2008
Trait correlated expression combined with expression QTL analysis reveals biological pathways and candidate genes affecting water holding capacity of muscle.
Article in BMC genomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 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
44 citing papers in PubMed, 111 citations in OpenAlex.
- Pork Quality and Expression of Genes Involved in Muscularity and Fat Deposition in Different Commercial Lines and Sexes of Pigs.Animals : an open access journal from MDPI · 2025Article
- Identification of new candidate genes affecting drip loss in pigs based on genomics and transcriptomics data.Journal of animal science · 2025Article
- Comparative transcriptome analysis of longissimus dorsi muscle reveal potential genes affecting meat trait in Chinese indigenous Xiang pig.Scientific reports · 2024Article
- Genome-wide association study reveals genetic loci and candidate genes for meat quality traits in a four-way crossbred pig population.Frontiers in genetics · 2023Article
- Article
- An Integrative Analysis of Transcriptome and GWAS Data to Identify Potential Candidate Genes Influencing Meat Quality Traits in Pigs.Frontiers in genetics · 2021Article
- Poultry Response to Heat Stress: Its Physiological, Metabolic, and Genetic Implications on Meat Production and Quality Including Strategies to Improve Broiler Production in a Warming World.Frontiers in veterinary science · 2021Review
- Genome-wide scan for common variants associated with intramuscular fat and moisture content in rainbow trout.BMC genomics · 2020Article
- Transcriptome analysis reveals a molecular understanding of nicotinamide and butyrate sodium on meat quality of broilers under high stocking density.BMC genomics · 2020Article
- Genetic Diversity and Selection Signatures Within Diannan Small-Ear Pigs Revealed by Next-Generation Sequencing.Frontiers in genetics · 2020Article
- Comparative gene expression profiling of muscle reveals potential candidate genes affecting drip loss in pork.BMC genetics · 2019Article
- About the existence of common determinants of gene expression in the porcine liver and skeletal muscle.BMC genomics · 2019Article
- Comparing the mRNA expression profile and the genetic determinism of intramuscular fat traits in the porcine gluteus medius and longissimus dorsi muscles.BMC genomics · 2019Article
- Genetic control of longissimus dorsi muscle gene expression variation and joint analysis with phenotypic quantitative trait loci in pigs.BMC genomics · 2019Article
- The effect of QTL-rich region polymorphisms identified by targeted DNA-seq on pig production traits.Molecular biology reports · 2018Article
- Whole genome scan reveals the genetic signature of African Ankole cattle breed and potential for higher quality beef.BMC genetics · 2017Article
- Transcriptome analysis reveals that constant heat stress modifies the metabolism and structure of the porcine longissimus dorsi skeletal muscle.Molecular genetics and genomics : MGG · 2016Article
- Characterization and management of long runs of homozygosity in parental nucleus lines and their associated crossbred progeny.Genetics, selection, evolution : GSE · 2016Article
- Multi-omic data integration and analysis using systems genomics approaches: methods and applications in animal production, health and welfare.Genetics, selection, evolution : GSE · 2016Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLeakage of water and ions and soluble proteins from muscle cells occurs during prolonged exercise due to ischemia causing muscle damage. Also post mortem anoxia during conversion of muscle to meat is marked by loss of water and soluble components from the muscle cell. There is considerable variation in the water holding capacity of meat affecting economy of meat production. Water holding capacity depends on numerous genetic and environmental factors relevant to structural and biochemical muscle fibre properties a well as ante and post slaughter metabolic processes.
resultsExpression microarray analysis of M. longissimus dorsi RNAs of 74 F2 animals of a resource population showed 1,279 transcripts with trait correlated expression to water holding capacity. Negatively correlated transcripts were enriched in functional categories and pathways like extracellular matrix receptor interaction and calcium signalling. Transcripts with positive correlation dominantly represented biochemical processes including oxidative phosphorylation, mitochondrial pathways, as well as transporter activity. A linkage analysis of abundance of trait correlated transcripts revealed 897 expression QTL (eQTL) with 104 eQTL coinciding with QTL regions for water holding capacity; 96 transcripts had trans acting and 8 had cis acting regulation.
conclusionThe complex relationships between biological processes taking place in live skeletal muscle and meat quality are driven on the one hand by the energy reserves and their utilisation in the muscle and on the other hand by the muscle structure itself and calcium signalling. Holistic expression profiling was integrated with QTL analysis for the trait of interest and for gene expression levels for creation of a priority list of genes out of the orchestra of genes of biological networks relevant to the liability to develop elevated drip loss.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.