ArticleGenetics, selection, evolution : GSE2014
QTL detection for coccidiosis (Eimeria tenella) resistance in a Fayoumi × Leghorn F₂ cross, using a medium-density SNP panel.
Article in Genetics, selection, evolution : GSE, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Genome-wide association study to identify biological and metabolic pathways associated with carcass portion weights in turkeys: GWAS OF TURKEY CARCASS PORTION WEIGHTS.Poultry science · 2025Article
- Forward Genetics in Apicomplexa Biology: The Host Side of the Story.Frontiers in cellular and infection microbiology · 2022Review
- Controlling the causative agents of coccidiosis in domestic chickens; an eye on the past and considerations for the future.CABI agriculture and bioscience · 2021Review
- Establishing a Model for Evaluating Chicken Coccidiosis Resistance Based on Principal Component Analysis.Animals : an open access journal from MDPI · 2019Article
- Natural Selection Footprints Among African Chicken Breeds and Village Ecotypes.Frontiers in genetics · 2019Article
- Phenotypic and genetic variation in the response of chickens to Eimeria tenella induced coccidiosis.Genetics, selection, evolution : GSE · 2018Article
- Dissecting the Genomic Architecture of Resistance toFrontiers in genetics · 2018Article
- Genome-wide association studies of immune, disease and production traits in indigenous chicken ecotypes.Genetics, selection, evolution : GSE · 2016Article
- Genome-wide association study and biological pathway analysis of the Eimeria maxima response in broilers.Genetics, selection, evolution : GSE · 2015Article
- Genetic control of contagious asexuality in the pea aphid.PLoS genetics · 2014Article
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Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCoccidiosis is a major parasitic disease that causes huge economic losses to the poultry industry. Its pathogenicity leads to depression of body weight gain, lesions and, in the most serious cases, death in affected animals. Genetic variability for resistance to coccidiosis in the chicken has been demonstrated and if this natural resistance could be exploited, it would reduce the costs of the disease. Previously, a design to characterize the genetic regulation of Eimeria tenella resistance was set up in a Fayoumi × Leghorn F2 cross. The 860 F2 animals of this design were phenotyped for weight gain, plasma coloration, hematocrit level, intestinal lesion score and body temperature. In the work reported here, the 860 animals were genotyped for a panel of 1393 (157 microsatellites and 1236 single nucleotide polymorphism (SNP) markers that cover the sequenced genome (i.e. the 28 first autosomes and the Z chromosome). In addition, with the aim of finding an index capable of explaining a large amount of the variance associated with resistance to coccidiosis, a composite factor was derived by combining the variables of all these traits in a single variable. QTL detection was performed by linkage analysis using GridQTL and QTLMap. Single and multi-QTL models were applied.
resultsThirty-one QTL were identified i.e. 27 with the single-QTL model and four with the multi-QTL model and the average confidence interval was 5.9 cM. Only a few QTL were common with the previous study that used the same design but focused on the 260 more extreme animals that were genotyped with the 157 microsatellites only. Major differences were also found between results obtained with QTLMap and GridQTL.
conclusionsThe medium-density SNP panel made it possible to genotype new regions of the chicken genome (including micro-chromosomes) that were involved in the genetic control of the traits investigated. This study also highlights the strong variations in QTL detection between different models and marker densities.
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