Identification of recombination hotspots and quantitative trait loci for recombination rate in layer chickens
Abstract Background The frequency of recombination events varies across the genome and between individuals, which may be related to some genomic features. The objective of this study was to assess the frequency of recombination events and to identify QTL (quantitative trait loci) for recombination r...
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doaj-871ec4fb28c44b779011bf0dda3de7052020-11-25T00:28:45ZengBMCJournal of Animal Science and Biotechnology2049-18912019-02-0110111310.1186/s40104-019-0332-yIdentification of recombination hotspots and quantitative trait loci for recombination rate in layer chickensZiqing Weng0Anna Wolc1Hailin Su2Rohan L. Fernando3Jack C. M. Dekkers4Jesus Arango5Petek Settar6Janet E. Fulton7Neil P. O’Sullivan8Dorian J. Garrick9Department of Animal Science, Iowa State UniversityDepartment of Animal Science, Iowa State UniversityDepartment of Animal Science, Iowa State UniversityDepartment of Animal Science, Iowa State UniversityDepartment of Animal Science, Iowa State UniversityHy-Line InternationalHy-Line InternationalHy-Line InternationalHy-Line InternationalDepartment of Animal Science, Iowa State UniversityAbstract Background The frequency of recombination events varies across the genome and between individuals, which may be related to some genomic features. The objective of this study was to assess the frequency of recombination events and to identify QTL (quantitative trait loci) for recombination rate in two purebred layer chicken lines. Methods A total of 1200 white-egg layers (WL) were genotyped with 580 K SNPs and 5108 brown-egg layers (BL) were genotyped with 42 K SNPs (single nucleotide polymorphisms). Recombination events were identified within half-sib families and both the number of recombination events and the recombination rate was calculated within each 0.5 Mb window of the genome. The 10% of windows with the highest recombination rate on each chromosome were considered to be recombination hotspots. A BayesB model was used separately for each line to identify genomic regions associated with the genome-wide number of recombination event per meiosis. Regions that explained more than 0.8% of genetic variance of recombination rate were considered to harbor QTL. Results Heritability of recombination rate was estimated at 0.17 in WL and 0.16 in BL. On average, 11.3 and 23.2 recombination events were detected per individual across the genome in 1301 and 9292 meioses in the WL and BL, respectively. The estimated recombination rates differed significantly between the lines, which could be due to differences in inbreeding levels, and haplotype structures. Dams had about 5% to 20% higher recombination rates per meiosis than sires in both lines. Recombination rate per 0.5 Mb window had a strong negative correlation with chromosome size and a strong positive correlation with GC content and with CpG island density across the genome in both lines. Different QTL for recombination rate were identified in the two lines. There were 190 and 199 non-overlapping recombination hotspots detected in WL and BL respectively, 28 of which were common to both lines. Conclusions Differences in the recombination rates, hotspot locations, and QTL regions associated with genome-wide recombination were observed between lines, indicating the breed-specific feature of detected recombination events and the control of recombination events is a complex polygenic trait.http://link.springer.com/article/10.1186/s40104-019-0332-yLayer chickenQTLRecombinationSNP |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ziqing Weng Anna Wolc Hailin Su Rohan L. Fernando Jack C. M. Dekkers Jesus Arango Petek Settar Janet E. Fulton Neil P. O’Sullivan Dorian J. Garrick |
spellingShingle |
Ziqing Weng Anna Wolc Hailin Su Rohan L. Fernando Jack C. M. Dekkers Jesus Arango Petek Settar Janet E. Fulton Neil P. O’Sullivan Dorian J. Garrick Identification of recombination hotspots and quantitative trait loci for recombination rate in layer chickens Journal of Animal Science and Biotechnology Layer chicken QTL Recombination SNP |
author_facet |
Ziqing Weng Anna Wolc Hailin Su Rohan L. Fernando Jack C. M. Dekkers Jesus Arango Petek Settar Janet E. Fulton Neil P. O’Sullivan Dorian J. Garrick |
author_sort |
Ziqing Weng |
title |
Identification of recombination hotspots and quantitative trait loci for recombination rate in layer chickens |
title_short |
Identification of recombination hotspots and quantitative trait loci for recombination rate in layer chickens |
title_full |
Identification of recombination hotspots and quantitative trait loci for recombination rate in layer chickens |
title_fullStr |
Identification of recombination hotspots and quantitative trait loci for recombination rate in layer chickens |
title_full_unstemmed |
Identification of recombination hotspots and quantitative trait loci for recombination rate in layer chickens |
title_sort |
identification of recombination hotspots and quantitative trait loci for recombination rate in layer chickens |
publisher |
BMC |
series |
Journal of Animal Science and Biotechnology |
issn |
2049-1891 |
publishDate |
2019-02-01 |
description |
Abstract Background The frequency of recombination events varies across the genome and between individuals, which may be related to some genomic features. The objective of this study was to assess the frequency of recombination events and to identify QTL (quantitative trait loci) for recombination rate in two purebred layer chicken lines. Methods A total of 1200 white-egg layers (WL) were genotyped with 580 K SNPs and 5108 brown-egg layers (BL) were genotyped with 42 K SNPs (single nucleotide polymorphisms). Recombination events were identified within half-sib families and both the number of recombination events and the recombination rate was calculated within each 0.5 Mb window of the genome. The 10% of windows with the highest recombination rate on each chromosome were considered to be recombination hotspots. A BayesB model was used separately for each line to identify genomic regions associated with the genome-wide number of recombination event per meiosis. Regions that explained more than 0.8% of genetic variance of recombination rate were considered to harbor QTL. Results Heritability of recombination rate was estimated at 0.17 in WL and 0.16 in BL. On average, 11.3 and 23.2 recombination events were detected per individual across the genome in 1301 and 9292 meioses in the WL and BL, respectively. The estimated recombination rates differed significantly between the lines, which could be due to differences in inbreeding levels, and haplotype structures. Dams had about 5% to 20% higher recombination rates per meiosis than sires in both lines. Recombination rate per 0.5 Mb window had a strong negative correlation with chromosome size and a strong positive correlation with GC content and with CpG island density across the genome in both lines. Different QTL for recombination rate were identified in the two lines. There were 190 and 199 non-overlapping recombination hotspots detected in WL and BL respectively, 28 of which were common to both lines. Conclusions Differences in the recombination rates, hotspot locations, and QTL regions associated with genome-wide recombination were observed between lines, indicating the breed-specific feature of detected recombination events and the control of recombination events is a complex polygenic trait. |
topic |
Layer chicken QTL Recombination SNP |
url |
http://link.springer.com/article/10.1186/s40104-019-0332-y |
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