ArticleBMC genomics2014
Genome sequencing and analysis of Mangalica, a fatty local pig of Hungary.
Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed, 75 citations in OpenAlex.
- Genomic insights into the demographic history and local adaptation of wild boars across Eurasia.Cell genomics · 2025Article
- Revisiting the Evolutionary History of Pigs via De Novo Mutation Rate Estimation in A Three-generation Pedigree.Genomics, proteomics & bioinformatics · 2022Article
- Rare and population-specific functional variation across pig lines.Genetics, selection, evolution : GSE · 2022Article
- Genetic diversity and population structure of six autochthonous pig breeds from Croatia, Serbia, and Slovenia.Genetics, selection, evolution : GSE · 2022Article
- An insight into the runs of homozygosity distribution and breed differentiation in Mangalitsa pigs.Frontiers in genetics · 2022Article
- Candidate gene screening for lipid deposition using combined transcriptomic and proteomic data from Nanyang black pigs.BMC genomics · 2021Article
- Genomics of Adaptations in Ungulates.Animals : an open access journal from MDPI · 2021Review
- Longitudinal Analysis of the Intestinal Microbiota in the Obese Mangalica Pig Reveals Alterations in Bacteria and Bacteriophage Populations Associated With Changes in Body Composition and Diet.Frontiers in cellular and infection microbiology · 2021Article
- Genomic diversity revealed by whole-genome sequencing in three Danish commercial pig breeds.Journal of animal science · 2020Article
- Indel detection from Whole Genome Sequencing data and association with lipid metabolism in pigs.PloS one · 2019Article
- The red deer Cervus elaphus genome CerEla1.0: sequencing, annotating, genes, and chromosomes.Molecular genetics and genomics : MGG · 2018Article
- The full mitochondrial genomes of Mangalica pig breeds and their possible origin.Mitochondrial DNA. Part B, Resources · 2017Article
- Genetics of body fat mass and related traits in a pig population selected for leanness.Scientific reports · 2017Article
- A Pathway-Centered Analysis of Pig Domestication and Breeding in Eurasia.G3 (Bethesda, Md.) · 2017Article
- Characterization of porcine simple sequence repeat variation on a population scale with genome resequencing data.Scientific reports · 2017Article
- Article
- Article
- Article
- Pig fatness in relation to FASN and INSIG2 genes polymorphism and their transcript level.Molecular biology reports · 2016Article
- A decade of pig genome sequencing: a window on pig domestication and evolution.Genetics, selection, evolution : GSE · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMangalicas are fatty type local/rare pig breeds with an increasing presence in the niche pork market in Hungary and in other countries. To explore their genetic resources, we have analysed data from next-generation sequencing of an individual male from each of three Mangalica breeds along with a local male Duroc pig. Structural variations, such as SNPs, INDELs and CNVs, were identified and particular genes with SNP variations were analysed with special emphasis on functions related to fat metabolism in pigs.
resultsMore than 60 Gb of sequence data were generated for each of the sequenced individuals, resulting in 11× to 19× autosomal median coverage. After stringent filtering, around six million SNPs, of which approximately 10% are novel compared to the dbSNP138 database, were identified in each animal. Several hundred thousands of INDELs and about 1,000 CNV gains were also identified. The functional annotation of genes with exonic, non-synonymous SNPs, which are common in all three Mangalicas but are absent in either the reference genome or the sequenced Duroc of this study, highlighted 52 genes in lipid metabolism processes. Further analysis revealed that 41 of these genes are associated with lipid metabolic or regulatory pathways, 49 are in fat-metabolism and fatness-phenotype QTLs and, with the exception of ACACA, ANKRD23, GM2A, KIT, MOGAT2, MTTP, FASN, SGMS1, SLC27A6 and RETSAT, have not previously been associated with fat-related phenotypes.
conclusionsGenome analysis of Mangalica breeds revealed that local/rare breeds could be a rich source of sequence variations not present in cosmopolitan/industrial breeds. The identified Mangalica variations may, therefore, be a very useful resource for future studies of agronomically important traits in pigs.
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.