ArticleBMC genomics2015
Copy number variations in high and low fertility breeding boars.
Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 34 citations in OpenAlex.
- Analysis of amplification and association polymorphisms in the bovine beta-defensin 129 (BBD129) gene revealed its function in bull fertility.Scientific reports · 2022Article
- Copy number variant-based genome wide association study reveals immune-related genes associated with parasite resistance in a heritage sheep breed from the United States.Parasite immunology · 2022Article
- Localization and in silico-based functional analysis of miR-202 in bull testis.Reproduction in domestic animals = Zuchthygiene · 2022Article
- Distribution of Copy Number Variation in SYT11 Gene and Its Association with Growth Conformation Traits in Chinese Cattle.Biology · 2022Article
- Genome-Wide Detection of Copy Number Variations and Evaluation of Candidate Copy Number Polymorphism Genes Associated With Complex Traits of Pigs.Frontiers in veterinary science · 2022Article
- Classical, Molecular, and Genomic Cytogenetics of the Pig, a Clinical Perspective.Animals : an open access journal from MDPI · 2021Review
- Impaired Reproductive Function in Equines: From Genetics to Genomics.Animals : an open access journal from MDPI · 2021Review
- Genome-Wide Assessment Characteristics of Genes Overlapping Copy Number Variation Regions in Duroc Purebred Population.Frontiers in genetics · 2021Article
- Comparative proteomic analysis of Tibetan pig spermatozoa at high and low altitudes.BMC genomics · 2019Article
- A Survey of Copy Number Variation in the Porcine Genome Detected From Whole-Genome Sequence.Frontiers in genetics · 2019Article
- In vivo and in vitro ageing results in accumulation of de novo copy number variations in bulls.Scientific reports · 2017Article
- Article
- Genome-Wide Copy Number Variations Using SNP Genotyping in a Mixed Breed Swine Population.PloS one · 2015Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn this study we applied the extreme groups/selective genotyping approach for identifying copy number variations in high and low fertility breeding boars. The fertility indicator was the calculated Direct Boar Effect on litter size (DBE) that was obtained as a by-product of the national genetic evaluation for litter size (BLUP). The two groups of animals had DBE values at the upper (high fertility) and lower (low fertility) end of the distribution from a population of more than 38,000 boars. Animals from these two diverse phenotypes were genotyped with the Porcine SNP60K chip and compared by several approaches in order to prove the feasibility of our CNV analysis and to identify putative markers of fertility.
resultsWe have identified 35 CNVRs covering 36.5 Mb or ~1.3% of the porcine genome. Among these 35 CNVRs, 14 were specific to the high fertility group, while 19 CNVRs were specific to the low fertility group which overlap with 137 QTLs of various reproductive traits. The identified 35 CNVRs encompassed 50 genes, among them 40 were specific to the low fertility group, seven to the high fertility group, while three were found in regions that were present in both groups but with opposite gain/loss status. A functional analysis of several databases revealed that the genes found in CNVRs from the low fertility group have been significantly enriched in members of the innate immune system, Toll-like receptor and RIG-I-like receptor signaling and fatty acid oxidation pathways.
conclusionsWe have demonstrated that our analysis pipeline could identify putative CNV markers of fertility, especially in case of low fertility boars.
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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.