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Terada K, Furumoto C, Nishimura T, Hirayama A, Takami Y. The development of extremely large male genitalia under spatial limitation. Evol Dev 2024; 26:e12488. [PMID: 38927009 DOI: 10.1111/ede.12488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 06/04/2024] [Accepted: 06/17/2024] [Indexed: 06/28/2024]
Abstract
Extensive research in evolutionary biology has focused on the exaggeration of sexual traits; however, the developmental basis of exaggerated sexual traits has only been determined in a few cases. The evolution of exaggerated sexual traits may involve the relaxation of constraints or developmental processes mitigating constraints. Ground beetles in the subgenus Ohomopterus (genus Carabus) have species-specific genitalia that show coevolutionary divergence between the sexes. Here, we examined the morphogenesis of the remarkably enlarged male and female genitalia of Carabus uenoi by X-ray microcomputed tomography. The morphogenetic processes generating the male and female genitalia at the pupal stage were qualitatively similar to those in closely related species with standard genital sizes. Higher growth rates contributed to the exaggeration of both the male and female genital parts of C. uenoi, possibly related to a gene network commonly upregulated in both sexes. Additionally, the length of the copulatory piece (CP), the enlarged male genital part stored in the aedeagus (AD), reached close to that of the AD at the later developmental stages and thereafter decelerated to grow in parallel with the AD, suggesting a structural constraint on the CP by the outer AD. Then, unlike related species, the lengths of the CP and AD increased at eclosion, suggesting a mechanism leading to further elongation of the male genitalia. These observations suggest that a developmental process allows continuous growth of the male genitalia even under the spatial limitation. These results revealed the spatio-temporal dynamics of the development of exaggerated genital structures under structural constraints.
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Affiliation(s)
- Karen Terada
- Graduate School of Human Development and Environment, Kobe University, Nada, Kobe, Japan
| | - Chinami Furumoto
- Graduate School of Human Development and Environment, Kobe University, Nada, Kobe, Japan
| | - Taira Nishimura
- Graduate School of Human Development and Environment, Kobe University, Nada, Kobe, Japan
| | | | - Yasuoki Takami
- Graduate School of Human Development and Environment, Kobe University, Nada, Kobe, Japan
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Höglund A, Henriksen R, Churcher AM, Guerrero-Bosagna CM, Martinez-Barrio A, Johnsson M, Jensen P, Wright D. The regulation of methylation on the Z chromosome and the identification of multiple novel Male Hyper-Methylated regions in the chicken. PLoS Genet 2024; 20:e1010719. [PMID: 38457441 PMCID: PMC10954189 DOI: 10.1371/journal.pgen.1010719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 03/20/2024] [Accepted: 01/31/2024] [Indexed: 03/10/2024] Open
Abstract
DNA methylation is a key regulator of eukaryote genomes, and is of particular relevance in the regulation of gene expression on the sex chromosomes, with a key role in dosage compensation in mammalian XY systems. In the case of birds, dosage compensation is largely absent, with it being restricted to two small Male Hyper-Methylated (MHM) regions on the Z chromosome. To investigate how variation in DNA methylation is regulated on the Z chromosome we utilised a wild x domestic advanced intercross in the chicken, with both hypothalamic methylomes and transcriptomes assayed in 124 individuals. The relatively large numbers of individuals allowed us to identify additional genomic MHM regions on the Z chromosome that were significantly differentially methylated between the sexes. These regions appear to down-regulate local gene expression in males, but not remove it entirely (unlike the lncRNAs identified in the initial MHM regions). These MHM regions were further tested and the most balanced genes appear to show decreased expression in males, whilst methylation appeared to be far more correlated with gene expression in the less balanced, as compared to the most balanced genes. In addition, quantitative trait loci (QTL) that regulate variation in methylation on the Z chromosome, and those loci that regulate methylation on the autosomes that derive from the Z chromosome were mapped. Trans-effect hotspots were also identified that were based on the autosomes but affected the Z, and also one that was based on the Z chromosome but that affected both autosomal and sex chromosome DNA methylation regulation. We show that both cis and trans loci that originate from the Z chromosome never exhibit an interaction with sex, whereas trans loci originating from the autosomes but affecting the Z chromosome always display such an interaction. Our results highlight how additional MHM regions are actually present on the Z chromosome, and they appear to have smaller-scale effects on gene expression in males. Quantitative variation in methylation is also regulated both from the autosomes to the Z chromosome, and from the Z chromosome to the autosomes.
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Affiliation(s)
- Andrey Höglund
- Science for Life Laboratory, Department of Environmental Science, Stockholm University, Stockholm, Sweden
| | - Rie Henriksen
- AVIAN Behavioural Genomics and Physiology Group, Linköping University, Linköping, Sweden
| | | | - Carlos M. Guerrero-Bosagna
- Physiology and Environmental Toxicology Program, Department of Organismal Biology, Uppsala University, Uppsala, Sweden
| | | | - Martin Johnsson
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden
| | - Per Jensen
- AVIAN Behavioural Genomics and Physiology Group, Linköping University, Linköping, Sweden
| | - Dominic Wright
- AVIAN Behavioural Genomics and Physiology Group, Linköping University, Linköping, Sweden
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3
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Population structure and hybridisation in a population of Hawaiian feral chickens. Heredity (Edinb) 2023; 130:154-162. [PMID: 36725960 PMCID: PMC9981564 DOI: 10.1038/s41437-022-00589-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 12/20/2022] [Accepted: 12/21/2022] [Indexed: 02/03/2023] Open
Abstract
Chickens are believed to have inhabited the Hawaiian island of Kauai since the first human migrations around 1200AD, but numbers have peaked since the tropical storms Iniki and Iwa in the 1980s and 1990s that destroyed almost all the chicken coops on the island and released large numbers of domestic chickens into the wild. Previous studies have shown these now feral chickens are an admixed population between Red Junglefowl (RJF) and domestic chickens. Here, using genetic haplotypic data, we estimate the time of the admixture event between the feral population on the island and the RJF to 1981 (1976-1995), coinciding with the timings of storm Iwa and Iniki. Analysis of genetic structure reveals a greater similarity between individuals inhabiting the northern and western part of the island to RJF than individuals from the eastern part of the island. These results point to the possibility of introgression events between feral chickens and the wild chickens in areas surrounding the Koke'e State Park and the Alaka'i plateau, posited as two of the major RJF reservoirs in the island. Furthermore, we have inferred haplotype blocks from pooled data to determine the most plausible source of the feral population. We identify a clear contribution from RJF and layer chickens of the White Leghorn (WL) breed. This work provides independent confirmation of the traditional hypothesis surrounding the origin of the feral populations and draws attention to the possibility of introgression of domestic alleles into the wild reservoir.
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Bakovic V, Höglund A, Martin Cerezo ML, Henriksen R, Wright D. Genomic and gene expression associations to morphology of a sexual ornament in the chicken. G3 GENES|GENOMES|GENETICS 2022; 12:6633936. [PMID: 35801935 PMCID: PMC9434260 DOI: 10.1093/g3journal/jkac174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 06/27/2022] [Indexed: 11/12/2022]
Abstract
How sexual selection affects the genome ultimately relies on the strength and type of selection, and the genetic architecture of the involved traits. While associating genotype with phenotype often utilizes standard trait morphology, trait representations in morphospace using geometric morphometric approaches receive less focus in this regard. Here, we identify genetic associations to a sexual ornament, the comb, in the chicken system (Gallus gallus). Our approach combined genome-wide genotype and gene expression data (>30k genes) with different aspects of comb morphology in an advanced intercross line (F8) generated by crossing a wild-type Red Junglefowl with a domestic breed of chicken (White Leghorn). In total, 10 quantitative trait loci were found associated to various aspects of comb shape and size, while 1,184 expression QTL were found associated to gene expression patterns, among which 98 had overlapping confidence intervals with those of quantitative trait loci. Our results highlight both known genomic regions confirming previous records of a large effect quantitative trait loci associated to comb size, and novel quantitative trait loci associated to comb shape. Genes were considered candidates affecting comb morphology if they were found within both confidence intervals of the underlying quantitative trait loci and eQTL. Overlaps between quantitative trait loci and genome-wide selective sweeps identified in a previous study revealed that only loci associated to comb size may be experiencing on-going selection under domestication.
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Affiliation(s)
- Vid Bakovic
- IFM Biology, University of Linköping , Linköping 581 83, Sweden
| | - Andrey Höglund
- Science for Life Laboratory, Department of Environmental Science, Stockholm University , Stockholm 106 91, Sweden
| | | | - Rie Henriksen
- IFM Biology, University of Linköping , Linköping 581 83, Sweden
| | - Dominic Wright
- IFM Biology, University of Linköping , Linköping 581 83, Sweden
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Wang S, Wang Y, Li Y, Xiao F, Guo H, Gao H, Wang N, Zhang H, Li H. Genome-Wide Association Study and Selective Sweep Analysis Reveal the Genetic Architecture of Body Weights in a Chicken F2 Resource Population. Front Vet Sci 2022; 9:875454. [PMID: 35958311 PMCID: PMC9361851 DOI: 10.3389/fvets.2022.875454] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 06/20/2022] [Indexed: 11/29/2022] Open
Abstract
Rapid growth is one of the most important economic traits in broiler breeding programs. Identifying markers and genes for growth traits may not only benefit marker-assisted selection (MAS)/genomic selection (GS) but also provide important information for understanding the genetic architecture of growth traits in broilers. In the present study, an F2 resource population derived from a cross between the broiler and Baier yellow chicken (a Chinese local breed) was used and body weights from 1 to 12 weeks of age [body weight (BW) 1–BW12)] were measured. A total of 519 F2 birds were genome re-sequenced, and a combination of genome-wide association study (GWAS) and selective sweep analysis was carried out to characterize the genetic architecture affecting chicken body weight comprehensively. As a result, 1,539 SNPs with significant effects on body weights at different weeks of age were identified using a genome-wide efficient mixed-model association (GEMMA) package. These SNPs were distributed on chromosomes 1 and 4. Besides, windows under selection identified for BW1–BW12 varied from 1,581 to 2,265. A total of 42 genes were also identified with significant effects on BW1–BW12 based on both GWAS and selective sweep analysis. Among these genes, diacylglycerol kinase eta (DGKH), deleted in lymphocytic leukemia (DLEU7), forkhead box O17 (FOXO1), karyopherin subunit alpha 3 (KPNA3), calcium binding protein 39 like (CAB39L), potassium voltage-gated channel interacting protein 4 (KCNIP4), and slit guidance ligand 2 (SLIT2) were considered as important genes for broiler growth based on their basic functions. The results of this study may supply important information for understanding the genetic architecture of growth traits in broilers.
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Affiliation(s)
- Shouzhi Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Yuxiang Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Yudong Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Fan Xiao
- Fujian Sunnzer Biotechnology Development Co., Ltd., Fujian, China
| | - Huaishun Guo
- Fujian Sunnzer Biotechnology Development Co., Ltd., Fujian, China
| | - Haihe Gao
- Fujian Sunnzer Biotechnology Development Co., Ltd., Fujian, China
| | - Ning Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
| | - Hui Zhang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
- *Correspondence: Hui Zhang
| | - Hui Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin, China
- Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin, China
- College of Animal Science and Technology, Northeast Agricultural University, Harbin, China
- Hui Li
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6
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Genome variation in tick infestation and cryptic divergence in Tunisian indigenous sheep. BMC Genomics 2022; 23:167. [PMID: 35227193 PMCID: PMC8883713 DOI: 10.1186/s12864-022-08321-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Accepted: 01/13/2022] [Indexed: 11/10/2022] Open
Abstract
Background Ticks are obligate haematophagous ectoparasites considered second to mosquitos as vectors and reservoirs of multiple pathogens of global concern. Individual variation in tick infestation has been reported in indigenous sheep, but its genetic control remains unknown. Results Here, we report 397 genome-wide signatures of selection overlapping 991 genes from the analysis, using ROH, LR-GWAS, XP-EHH, and FST, of 600 K SNP genotype data from 165 Tunisian sheep showing high and low levels of tick infestations and piroplasm infections. We consider 45 signatures that are detected by consensus results of at least two methods as high-confidence selection regions. These spanned 104 genes which included immune system function genes, solute carriers and chemokine receptor. One region spanned STX5, that has been associated with tick resistance in cattle, implicating it as a prime candidate in sheep. We also observed RAB6B and TF in a high confidence candidate region that has been associated with growth traits suggesting natural selection is enhancing growth and developmental stability under tick challenge. The analysis also revealed fine-scale genome structure indicative of cryptic divergence in Tunisian sheep. Conclusions Our findings provide a genomic reference that can enhance the understanding of the genetic architecture of tick resistance and cryptic divergence in indigenous African sheep. Supplementary Information The online version contains supplementary material available at 10.1186/s12864-022-08321-1.
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Johnsson M, Henriksen R, Wright D. The neural crest cell hypothesis: no unified explanation for domestication. Genetics 2021; 219:iyab097. [PMID: 34849908 PMCID: PMC8633120 DOI: 10.1093/genetics/iyab097] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 02/11/2021] [Indexed: 12/03/2022] Open
Affiliation(s)
- Martin Johnsson
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala 750 07, Sweden
| | - Rie Henriksen
- IFM Biology, Linköping University, Linköping 58183, Sweden
| | - Dominic Wright
- IFM Biology, Linköping University, Linköping 58183, Sweden
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8
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Li YD, Liu X, Li ZW, Wang WJ, Li YM, Cao ZP, Luan P, Xiao F, Gao HH, Guo HS, Wang N, Li H, Wang SZ. A combination of genome-wide association study and selection signature analysis dissects the genetic architecture underlying bone traits in chickens. Animal 2021; 15:100322. [PMID: 34311193 DOI: 10.1016/j.animal.2021.100322] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 06/23/2021] [Accepted: 06/25/2021] [Indexed: 01/01/2023] Open
Abstract
The bones of chicken play an important role in supporting and protecting the body. The growth and development of bones have a substantial influence on the health and production performance in chickens. However, genetic architecture underlying chicken bone traits is not well understood. The objectives of this study are to dissect the genetic basis of bone traits in chickens and to identify valuable genes and genetic markers for chicken breeding. We performed a combination of genome-wide association study (GWAS) and selection signature analysis (fixation index values and nucleotide diversity ratios) in an F2 crossbred experimental population with different genetic backgrounds (broiler × layer) to identify candidate genes and significant variants related to femur, shank, keel length, chest width, metatarsal claw weight, metatarsal length, and metatarsal circumference. A total of 545 individuals were genotyped based on the whole genome re-sequencing method (26 F0 individuals were re-sequenced at 10 × coverage; 519 F2 individuals were re-sequenced at 3 × coverage). A total of 2 028 112 single-nucleotide polymorphisms (SNPs) remained to carry out analysis after quality control and imputation. The integration of GWAS and selection signature analysis indicated that all significant SNPs responsible for bone traits were mainly localized on chicken chromosomes 1, 4, and 27. Finally, we identified 21 positional candidate genes that might regulate chicken bone growth and development, including LRCH1, RB1, FNDC3A, MLNR, CAB39L, FOXO1, LHFP, TRPC4, POSTN, SMAD9, RBPJ, PPARGC1A, SLIT2, NCAPG, NKX3-2, CPZ, SPOP, NGFR, SOST, ZNF652, and HOXB3. Additionally, an array of uncharacterized genes was identified. The findings provide an in-depth understanding of the genetic architecture of chicken bone traits and offer a molecular basis for applying genomics in practical chicken breeding.
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Affiliation(s)
- Y D Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - X Liu
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - Z W Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - W J Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - Y M Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - Z P Cao
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - P Luan
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - F Xiao
- Fujian Sunnzer Biotechnology Development Co., Ltd, Guangze, Fujian Province 354100, PR China
| | - H H Gao
- Fujian Sunnzer Biotechnology Development Co., Ltd, Guangze, Fujian Province 354100, PR China
| | - H S Guo
- Fujian Sunnzer Biotechnology Development Co., Ltd, Guangze, Fujian Province 354100, PR China
| | - N Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - H Li
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China
| | - S Z Wang
- Key Laboratory of Chicken Genetics and Breeding, Ministry of Agriculture and Rural Affairs, Harbin 150030, PR China; Key Laboratory of Animal Genetics, Breeding and Reproduction, Education Department of Heilongjiang Province, Harbin 150030, PR China; College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, PR China.
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Henriksen R, Höglund A, Fogelholm J, Abbey-Lee R, Johnsson M, Dingemanse NJ, Wright D. Intra-Individual Behavioural Variability: A Trait under Genetic Control. Int J Mol Sci 2020; 21:ijms21218069. [PMID: 33138119 PMCID: PMC7663371 DOI: 10.3390/ijms21218069] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Revised: 10/15/2020] [Accepted: 10/19/2020] [Indexed: 11/30/2022] Open
Abstract
When individuals are measured more than once in the same context they do not behave in exactly the same way each time. The degree of predictability differs between individuals, with some individuals showing low levels of variation around their behavioural mean while others show high levels of variation. This intra-individual variability in behaviour has received much less attention than between-individual variability in behaviour, and very little is known about the underlying mechanisms that affect this potentially large but understudied component of behavioural variation. In this study, we combine standardized behavioural tests in a chicken intercross to estimate intra-individual behavioural variability with a large-scale genomics analysis to identify genes affecting intra-individual behavioural variability in an avian population. We used a variety of different anxiety-related behavioural phenotypes for this purpose. Our study shows that intra-individual variability in behaviour has a direct genetic basis that is largely unique compared to the genetic architecture for the standard behavioural measures they are based on (at least in the detected quantitative trait locus). We identify six suggestive candidate genes that may underpin differences in intra-individual behavioural variability, with several of these candidates having previously been linked to behaviour and mental health. These findings demonstrate that intra-individual variability in behaviour appears to be a heritable trait in and of itself on which evolution can act.
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Affiliation(s)
- Rie Henriksen
- AVIAN Behavioural Genomics and Physiology Group, IFM Biology, Linköping University, 58183 Linköping, Sweden; (A.H.); (R.A.-L.); (M.J.)
- Correspondence: (R.H.); (D.W.)
| | - Andrey Höglund
- AVIAN Behavioural Genomics and Physiology Group, IFM Biology, Linköping University, 58183 Linköping, Sweden; (A.H.); (R.A.-L.); (M.J.)
| | - Jesper Fogelholm
- AVIAN Behavioural Genomics and Physiology Group, IFM Biology, Linköping University, 58183 Linköping, Sweden; (A.H.); (R.A.-L.); (M.J.)
| | - Robin Abbey-Lee
- AVIAN Behavioural Genomics and Physiology Group, IFM Biology, Linköping University, 58183 Linköping, Sweden; (A.H.); (R.A.-L.); (M.J.)
| | - Martin Johnsson
- AVIAN Behavioural Genomics and Physiology Group, IFM Biology, Linköping University, 58183 Linköping, Sweden; (A.H.); (R.A.-L.); (M.J.)
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Edinburgh EH25 9RG, UK
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, 750 07 Uppsala, Sweden
| | - Niels J. Dingemanse
- Ludwig Maximilians University of Munich (LMU), 82152 Munich, Planegg-Martinsried, Germany;
| | - Dominic Wright
- AVIAN Behavioural Genomics and Physiology Group, IFM Biology, Linköping University, 58183 Linköping, Sweden; (A.H.); (R.A.-L.); (M.J.)
- Correspondence: (R.H.); (D.W.)
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10
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Defining the Domestication Syndrome: Comment on Lord et al. 2020. Trends Ecol Evol 2020; 35:1059-1060. [PMID: 32917395 DOI: 10.1016/j.tree.2020.08.009] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Revised: 08/12/2020] [Accepted: 08/19/2020] [Indexed: 12/30/2022]
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11
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Liu Y, Tu Y, Zhang M, Zou J, Ji G, Shan Y, Ju X, Shu J. Study on CHADL as a candidate gene for comb growth traits in Partridge Shank roosters. CANADIAN JOURNAL OF ANIMAL SCIENCE 2020. [DOI: 10.1139/cjas-2018-0243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The comb is an important secondary sexual characteristic and comb growth traits, such as size and color of the comb, are widely used as indicators in chicken breeding programs. However, the genetic basis for these traits remains mostly unknown. It was found that the chondroadherin-like (CHADL) gene was up-regulated in large combs and was located in reported comb growth quantitative trait loci. In this study, tissue-specific expressions, expression patterns in combs of different ages, and CHADL polymorphisms were analyzed to investigate the relationship between this gene and comb growth traits of Partridge Shank roosters. The results showed that CHADL was more highly expressed in combs than in 10 other tissues, and its expressions in combs tended to gradually increase from the 5-wk-old mark to the 26-wk-old mark. The single-nucleotide polymorphism rs316423539 in the CHADL gene was significantly associated with the comb area and height, whereas rs14822286 was highly correlated with the comb color. Moreover, H1H5, H1H6, and H3H6 were the most advantageous genotype combinations for comb growth traits. Our results might help understand the molecular mechanism of comb growth traits and improve these traits directly by marker assistant selections.
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Affiliation(s)
- Yifan Liu
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Institute of Poultry Sciences, Chinese Academy of Agricultural Sciences, Yangzhou, Jiangsu Province 225000, People’s Republic of China
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Institute of Poultry Sciences, Chinese Academy of Agricultural Sciences, Yangzhou, Jiangsu Province 225000, People’s Republic of China
| | - Yunjie Tu
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Institute of Poultry Sciences, Chinese Academy of Agricultural Sciences, Yangzhou, Jiangsu Province 225000, People’s Republic of China
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Institute of Poultry Sciences, Chinese Academy of Agricultural Sciences, Yangzhou, Jiangsu Province 225000, People’s Republic of China
| | - Ming Zhang
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Institute of Poultry Sciences, Chinese Academy of Agricultural Sciences, Yangzhou, Jiangsu Province 225000, People’s Republic of China
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Institute of Poultry Sciences, Chinese Academy of Agricultural Sciences, Yangzhou, Jiangsu Province 225000, People’s Republic of China
| | - Jianmin Zou
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Institute of Poultry Sciences, Chinese Academy of Agricultural Sciences, Yangzhou, Jiangsu Province 225000, People’s Republic of China
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Institute of Poultry Sciences, Chinese Academy of Agricultural Sciences, Yangzhou, Jiangsu Province 225000, People’s Republic of China
| | - Gaige Ji
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Institute of Poultry Sciences, Chinese Academy of Agricultural Sciences, Yangzhou, Jiangsu Province 225000, People’s Republic of China
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Institute of Poultry Sciences, Chinese Academy of Agricultural Sciences, Yangzhou, Jiangsu Province 225000, People’s Republic of China
| | - Yanju Shan
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Institute of Poultry Sciences, Chinese Academy of Agricultural Sciences, Yangzhou, Jiangsu Province 225000, People’s Republic of China
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Institute of Poultry Sciences, Chinese Academy of Agricultural Sciences, Yangzhou, Jiangsu Province 225000, People’s Republic of China
| | - Xiaojun Ju
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Institute of Poultry Sciences, Chinese Academy of Agricultural Sciences, Yangzhou, Jiangsu Province 225000, People’s Republic of China
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Institute of Poultry Sciences, Chinese Academy of Agricultural Sciences, Yangzhou, Jiangsu Province 225000, People’s Republic of China
| | - Jingting Shu
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Institute of Poultry Sciences, Chinese Academy of Agricultural Sciences, Yangzhou, Jiangsu Province 225000, People’s Republic of China
- Key Laboratory for Poultry Genetics and Breeding of Jiangsu Province, Institute of Poultry Sciences, Chinese Academy of Agricultural Sciences, Yangzhou, Jiangsu Province 225000, People’s Republic of China
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12
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The genetic regulation of size variation in the transcriptome of the cerebrum in the chicken and its role in domestication and brain size evolution. BMC Genomics 2020; 21:518. [PMID: 32727510 PMCID: PMC7392834 DOI: 10.1186/s12864-020-06908-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2020] [Accepted: 07/13/2020] [Indexed: 12/03/2022] Open
Abstract
Background Large difference in cerebrum size exist between avian species and populations of the same species and is believed to reflect differences in processing power, i.e. in the speed and efficiency of processing information in this brain region. During domestication chickens developed a larger cerebrum compared to their wild progenitor, the Red jungle fowl. The underlying mechanisms that control cerebrum size and the extent to which genetic regulation is similar across brain regions is not well understood. In this study, we combine measurement of cerebrum size with genome-wide genetical genomics analysis to identify the genetic architecture of the cerebrum, as well as compare the regulation of gene expression in this brain region with gene expression in other regions of the brain (the hypothalamus) and somatic tissue (liver). Results We identify one candidate gene that putatively regulates cerebrum size (MTF2) as well as a large number of eQTL that regulate the transcriptome in cerebrum tissue, with the majority of these eQTL being trans-acting. The overall regulation of gene expression variation in the cerebrum was markedly different to the hypothalamus, with relatively few eQTL in common. In comparison, the cerebrum tissue shared more eQTL with a distant tissue (liver) than with a neighboring tissue (hypothalamus). Conclusion The candidate gene for cerebrum size (MTF2) has previously been linked to brain development making it a good candidate for further investigation as a regulator of inter-population variation in cerebrum size. The lack of shared eQTL between the two brain regions implies that genetic regulation of gene expression appears to be relatively independent between the two brain regions and suggest that coevolution between these two brain regions might be more functionally driven than developmental. These findings have relevance for current brain size evolution theories.
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13
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Dong X, Li J, Zhang Y, Han D, Hua G, Wang J, Deng X, Wu C. Genomic Analysis Reveals Pleiotropic Alleles at EDN3 and BMP7 Involved in Chicken Comb Color and Egg Production. Front Genet 2019; 10:612. [PMID: 31316551 PMCID: PMC6611142 DOI: 10.3389/fgene.2019.00612] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Accepted: 06/12/2019] [Indexed: 12/20/2022] Open
Abstract
Artificial selection is often associated with numerous changes in seemingly unrelated phenotypic traits. The genetic mechanisms of correlated phenotypes probably involve pleiotropy or linkage of genes related to such phenotypes. Dongxiang blue-shelled chicken, an indigenous chicken breed of China, has segregated significantly for the dermal hyperpigmentation phenotype. Two lines of the chicken have been divergently selected with respect to comb color for over 20 generations. The red comb line chicken produces significantly higher number of eggs than the dark comb line chicken. The objective of this study was to explore potential mechanisms involved in the relationship between comb color and egg production among chickens. Based on the genome-wide association study results, we identified a genomic region on chromosome 20 involving EDN3 and BMP7, which is associated with hyperpigmentation of chicken comb. Further analyses by selection signatures in the two divergent lines revealed that several candidate genes, including EDN3, BMP7, BPIFB3, and PCK1, closely located on chromosome 20 are involved in the development of neural crest cell and reproductive system. The two genes EDN3 and BMP7 have known roles in regulating both ovarian function and melanogenesis, indicating the pleiotropic effect on hyperpigmentation and egg production in blue-shelled chickens. Association analysis for egg production confirmed the pleiotropic effect of selected loci identified by selection signatures. The study provides insights into phenotypic evolution due to genetic variation across the genome. The information might be useful in the current breeding efforts to develop improved breeds for egg production.
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Affiliation(s)
- Xianggui Dong
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Junying Li
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Yuanyuan Zhang
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Deping Han
- College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Guoying Hua
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Jiankui Wang
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Xuemei Deng
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
| | - Changxin Wu
- National Engineering Laboratory for Animal Breeding and Key Laboratory of Animal Genetics, Breeding, and Reproduction of the Ministry of Agriculture, China Agricultural University, Beijing, China
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Fogelholm J, Inkabi S, Höglund A, Abbey-Lee R, Johnsson M, Jensen P, Henriksen R, Wright D. Genetical Genomics of Tonic Immobility in the Chicken. Genes (Basel) 2019; 10:genes10050341. [PMID: 31067744 PMCID: PMC6562468 DOI: 10.3390/genes10050341] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Revised: 04/17/2019] [Accepted: 04/30/2019] [Indexed: 11/17/2022] Open
Abstract
Identifying the molecular mechanisms of animal behaviour is an enduring goal for researchers. Gaining insight into these mechanisms enables us to gain a greater understanding of behaviour and their genetic control. In this paper, we perform Quantitative Trait Loci (QTL) mapping of tonic immobility behaviour in an advanced intercross line between wild and domestic chickens. Genes located within the QTL interval were further investigated using global expression QTL (eQTL) mapping from hypothalamus tissue, as well as causality analysis. This identified five candidate genes, with the genes PRDX4 and ACOT9 emerging as the best supported candidates. In addition, we also investigated the connection between tonic immobility, meat pH and struggling behaviour, as the two candidate genes PRDX4 and ACOT9 have previously been implicated in controlling muscle pH at slaughter. We did not find any phenotypic correlations between tonic immobility, struggling behaviour and muscle pH in a smaller additional cohort, despite these behaviours being repeatable within-test.
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Affiliation(s)
- Jesper Fogelholm
- AVIAN Behavioural Genomics and Physiology Group, IFM Biology, Linköping University, 58183 Linköping, Sweden.
| | - Samuel Inkabi
- AVIAN Behavioural Genomics and Physiology Group, IFM Biology, Linköping University, 58183 Linköping, Sweden.
| | - Andrey Höglund
- AVIAN Behavioural Genomics and Physiology Group, IFM Biology, Linköping University, 58183 Linköping, Sweden.
| | - Robin Abbey-Lee
- AVIAN Behavioural Genomics and Physiology Group, IFM Biology, Linköping University, 58183 Linköping, Sweden.
| | - Martin Johnsson
- The Roslin Institute and Royal (Dick) School of Veterinary Studies, The University of Edinburgh, Midlothian, Scotland EH25 9RG, UK.
- Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Box 7023, 750 07 Uppsala, Sweden.
| | - Per Jensen
- AVIAN Behavioural Genomics and Physiology Group, IFM Biology, Linköping University, 58183 Linköping, Sweden.
| | - Rie Henriksen
- AVIAN Behavioural Genomics and Physiology Group, IFM Biology, Linköping University, 58183 Linköping, Sweden.
| | - Dominic Wright
- AVIAN Behavioural Genomics and Physiology Group, IFM Biology, Linköping University, 58183 Linköping, Sweden.
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15
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Calleja-Rodriguez A, Li Z, Hallingbäck HR, Sillanpää MJ, Wu HX, Abrahamsson S, García-Gil MR. Analysis of phenotypic- and Estimated Breeding Values (EBV) to dissect the genetic architecture of complex traits in a Scots pine three-generation pedigree design. J Theor Biol 2019; 462:283-292. [PMID: 30423305 DOI: 10.1016/j.jtbi.2018.11.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Revised: 10/17/2018] [Accepted: 11/09/2018] [Indexed: 11/28/2022]
Abstract
In forest tree breeding, family-based Quantitative Trait Loci (QTL) studies are valuable as methods to dissect the complexity of a trait and as a source of candidate genes. In the field of conifer research, our study contributes to the evaluation of phenotypic and predicted breeding values for the identification of QTL linked to complex traits in a three-generation pedigree population in Scots pine (Pinus sylvestris L.). A total of 11 470 open pollinated F2-progeny trees established at three different locations, were measured for growth and adaptive traits. Breeding values were predicted for their 360 mothers, originating from a single cross of two grand-parents. A multilevel LASSO association analysis was conducted to detect QTL using genotypes of the mothers with the corresponding phenotypes and Estimated Breeding Values (EBV). Different levels of genotype-by-environment (G × E) effects among sites at different years, were detected for survival and height. Moderate-to-low narrow sense heritabilities and EBV accuracies were found for all traits and all sites. We identified 18 AFLPs and 12 SNPs to be associated with QTL for one or more traits. 62 QTL were significant with percentages of variance explained ranging from 1.7 to 18.9%. In those cases where the same marker was associated to a phenotypic or an ebvQTL, the ebvQTL always explained higher proportion of the variance, maybe due to the more accurate nature of Estimated Breeding Values (EBV). Two SNP-QTL showed pleiotropic effects for traits related with hardiness, seed, cone and flower production. Furthermore, we detected several QTL with significant effects across multiple ages, which could be considered as strong candidate loci for early selection. The lack of reproducibility of some QTL detected across sites may be due to environmental heterogeneity reflected by the genotype- and QTL-by-environment effects.
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Affiliation(s)
- Ainhoa Calleja-Rodriguez
- Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Science, Umeå SE-901 83, Sweden; Skogforsk, Box 3, Sävar SE-91821, Sweden
| | - Zitong Li
- Melbourne Integrative Genomics and School of Mathematics and Statistics, the University of Melbourne, Parkville, Victoria 3010, Australia; Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki FI-00014, Finland
| | - Henrik R Hallingbäck
- Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Science, Umeå SE-901 83, Sweden; Department of Plant Biology, Uppsala BioCenter, Linnean Centre for Plant Biology, Swedish University of Agricultural Science, Uppsala SE-75007, Sweden
| | - Mikko J Sillanpää
- Department of Mathematical Sciences and Biocenter Oulu, University of Oulu, Oulu FI-90014, Finland
| | - Harry X Wu
- Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Science, Umeå SE-901 83, Sweden
| | | | - Maria Rosario García-Gil
- Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Science, Umeå SE-901 83, Sweden.
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16
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Quantitative trait loci for morphometric and mineral composition traits of the tibia bone in a broiler × layer cross. Animal 2019; 13:1563-1569. [PMID: 30614429 DOI: 10.1017/s175173111800335x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Many economic losses occur in the poultry industry due to leg fragility. Knowing the genomic regions that influence traits associated with the growth and composition of the leg's bone can help to improve the selection process leading to increased leg resistance to fracture. The present study aimed to map quantitative trait loci (QTL) for mineral composition and morphometric traits of the tibia in 478 animals from an F2 broiler × layer cross. The measurement of weight, length and width of Tibia was carried out at 42 days of age. Ash, dry matter, levels of calcium (Ca), phosphorus (P), magnesium (Mg), Zinc (Zn) and Calcium:Phosphorus (Ca:P) ratio were also recorded. The population was genotyped for 128 microsatellite markers and one single nucleotide polymorphism, covering 2630 cM of the chicken genome. A likelihood ratio test was performed to find QTLs. Additive and dominance effects of the QTLs were included in the model. In the chromosomes 2 (GGA2), 6 (GGA6), 8 (GGA8), 24 (GGA24) and 26 (GGA26) some suggestive QTLs (P<0.00276) were mapped for tibia weight (GGA2 and GGA26), ash percentage (GGA2 and GGA6), dry matter percentage (GGA2), Ca (GGA8 and GGA24) and Ca:P ratio (GGA8), many of which are close to genes already identified as good candidates for those traits. The suggestive QTL on GGA2 has a pleiotropic effect on ash percentage, dry matter and bone weight, whereas in the GGA8 there seems to be two QTLs, one for Ca and another for Ca:P ratio. Thus, this study identified at least five genomic regions, in different chromosomes, that can be targeted for further research to identify potential mutations influencing the development and composition of leg bones in Gallus gallus.
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17
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Knief U, Schielzeth H, Backström N, Hemmrich‐Stanisak G, Wittig M, Franke A, Griffith SC, Ellegren H, Kempenaers B, Forstmeier W. Association mapping of morphological traits in wild and captive zebra finches: reliable within, but not between populations. Mol Ecol 2017; 26:1285-1305. [DOI: 10.1111/mec.14009] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2016] [Revised: 12/05/2016] [Accepted: 12/21/2016] [Indexed: 01/17/2023]
Affiliation(s)
- Ulrich Knief
- Department of Behavioural Ecology and Evolutionary Genetics Max Planck Institute for Ornithology 82319 Seewiesen Germany
| | - Holger Schielzeth
- Department of Population Ecology Friedrich Schiller University Jena 07743 Jena Germany
| | - Niclas Backström
- Department of Ecology and Genetics Uppsala University 752 36 Uppsala Sweden
| | | | - Michael Wittig
- Institute of Clinical Molecular Biology Christian‐Albrechts‐University 24105 Kiel Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology Christian‐Albrechts‐University 24105 Kiel Germany
| | - Simon C. Griffith
- Department of Biological Sciences Macquarie University Sydney NSW 2109 Australia
- School of Biological, Earth & Environmental Sciences University of New South Wales Sydney NSW 2057 Australia
| | - Hans Ellegren
- Department of Ecology and Genetics Uppsala University 752 36 Uppsala Sweden
| | - Bart Kempenaers
- Department of Behavioural Ecology and Evolutionary Genetics Max Planck Institute for Ornithology 82319 Seewiesen Germany
| | - Wolfgang Forstmeier
- Department of Behavioural Ecology and Evolutionary Genetics Max Planck Institute for Ornithology 82319 Seewiesen Germany
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18
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Johnsson M, Gering E, Willis P, Lopez S, Van Dorp L, Hellenthal G, Henriksen R, Friberg U, Wright D. Feralisation targets different genomic loci to domestication in the chicken. Nat Commun 2016; 7:12950. [PMID: 27686863 PMCID: PMC5056458 DOI: 10.1038/ncomms12950] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Accepted: 08/18/2016] [Indexed: 12/03/2022] Open
Abstract
Feralisation occurs when a domestic population recolonizes the wild, escaping its previous restricted environment, and has been considered as the reverse of domestication. We have previously shown that Kauai Island's feral chickens are a highly variable and admixed population. Here we map selective sweeps in feral Kauai chickens using whole-genome sequencing. The detected sweeps were mostly unique to feralisation and distinct to those selected for during domestication. To ascribe potential phenotypic functions to these genes we utilize a laboratory-controlled equivalent to the Kauai population-an advanced intercross between Red Junglefowl and domestic layer birds that has been used previously for both QTL and expression QTL studies. Certain sweep genes exhibit significant correlations with comb mass, maternal brooding behaviour and fecundity. Our analyses indicate that adaptations to feral and domestic environments involve different genomic regions and feral chickens show some evidence of adaptation at genes associated with sexual selection and reproduction.
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Affiliation(s)
- M. Johnsson
- AVIAN Behavioural Genomics and Physiology Group, IFM Biology, Department of Zoology, Linköping University, 58183 Linköping, Sweden
| | - E. Gering
- Department of Zoology, Michigan University, Michigan 48824, USA
| | - P. Willis
- Department of Biology, University of Victoria, Victoria, British Columbia, Canada V8P 5C2
| | - S. Lopez
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK
| | - L. Van Dorp
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK
- Centre for Mathematics, Physics and Engineering in the Life Sciences and EXperimental Biology (CoMPLEX), University College London, London WC1E 6BT, UK
| | - G. Hellenthal
- UCL Genetics Institute, Department of Genetics, Evolution and Environment, University College London, London WC1E 6BT, UK
| | - R. Henriksen
- AVIAN Behavioural Genomics and Physiology Group, IFM Biology, Department of Zoology, Linköping University, 58183 Linköping, Sweden
| | - U. Friberg
- AVIAN Behavioural Genomics and Physiology Group, IFM Biology, Department of Zoology, Linköping University, 58183 Linköping, Sweden
| | - D. Wright
- AVIAN Behavioural Genomics and Physiology Group, IFM Biology, Department of Zoology, Linköping University, 58183 Linköping, Sweden
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19
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Fu W, Lee WR, Abasht B. Detection of genomic signatures of recent selection in commercial broiler chickens. BMC Genet 2016; 17:122. [PMID: 27565946 PMCID: PMC5002100 DOI: 10.1186/s12863-016-0430-1] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2016] [Accepted: 08/22/2016] [Indexed: 02/06/2023] Open
Abstract
Background Identification of the genomic signatures of recent selection may help uncover causal polymorphisms controlling traits relevant to recent decades of selective breeding in livestock. In this study, we aimed at detecting signatures of recent selection in commercial broiler chickens using genotype information from single nucleotide polymorphisms (SNPs). A total of 565 chickens from five commercial purebred lines, including three broiler sire (male) lines and two broiler dam (female) lines, were genotyped using the 60K SNP Illumina iSelect chicken array. To detect genomic signatures of recent selection, we applied two methods based on population comparison, cross-population extended haplotype homozygosity (XP-EHH) and cross-population composite likelihood ratio (XP-CLR), and further analyzed the results to find genomic regions under recent selection in multiple purebred lines. Results A total of 321 candidate selection regions spanning approximately 1.45 % of the chicken genome in each line were detected by consensus of results of both XP-EHH and XP-CLR methods. To minimize false discovery due to genetic drift, only 42 of the candidate selection regions that were shared by 2 or more purebred lines were considered as high-confidence selection regions in the study. Of these 42 regions, 20 were 50 kb or less while 4 regions were larger than 0.5 Mb. In total, 91 genes could be found in the 42 regions, among which 19 regions contained only 1 or 2 genes, and 9 regions were located at gene deserts. Conclusions Our results provide a genome-wide scan of recent selection signatures in five purebred lines of commercial broiler chickens. We found several candidate genes for recent selection in multiple lines, such as SOX6 (Sex Determining Region Y-Box 6) and cTR (Thyroid hormone receptor beta). These genes may have been under recent selection due to their essential roles in growth, development and reproduction in chickens. Furthermore, our results suggest that in some candidate regions, the same or opposite alleles have been under recent selection in multiple lines. Most of the candidate genes in the selection regions are novel, and as such they should be of great interest for future research into the genetic architecture of traits relevant to modern broiler breeding. Electronic supplementary material The online version of this article (doi:10.1186/s12863-016-0430-1) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Weixuan Fu
- Department of Animal and Food Sciences, University of Delaware, Newark, DE, 19716, USA
| | | | - Behnam Abasht
- Department of Animal and Food Sciences, University of Delaware, Newark, DE, 19716, USA.
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Shen M, Qu L, Ma M, Dou T, Lu J, Guo J, Hu Y, Yi G, Yuan J, Sun C, Wang K, Yang N. Genome-Wide Association Studies for Comb Traits in Chickens. PLoS One 2016; 11:e0159081. [PMID: 27427764 PMCID: PMC4948856 DOI: 10.1371/journal.pone.0159081] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2016] [Accepted: 06/27/2016] [Indexed: 12/21/2022] Open
Abstract
The comb, as a secondary sexual character, is an important trait in chicken. Indicators of comb length (CL), comb height (CH), and comb weight (CW) are often selected in production. DNA-based marker-assisted selection could help chicken breeders to accelerate genetic improvement for comb or related economic characters by early selection. Although a number of quantitative trait loci (QTL) and candidate genes have been identified with advances in molecular genetics, candidate genes underlying comb traits are limited. The aim of the study was to use genome-wide association (GWA) studies by 600 K Affymetrix chicken SNP arrays to detect genes that are related to comb, using an F2 resource population. For all comb characters, comb exhibited high SNP-based heritability estimates (0.61-0.69). Chromosome 1 explained 20.80% genetic variance, while chromosome 4 explained 6.89%. Independent univariate genome-wide screens for each character identified 127, 197, and 268 novel significant SNPs with CL, CH, and CW, respectively. Three candidate genes, VPS36, AR, and WNT11B, were determined to have a plausible function in all comb characters. These genes are important to the initiation of follicle development, gonadal growth, and dermal development, respectively. The current study provides the first GWA analysis for comb traits. Identification of the genetic basis as well as promising candidate genes will help us understand the underlying genetic architecture of comb development and has practical significance in breeding programs for the selection of comb as an index for sexual maturity or reproduction.
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Affiliation(s)
- Manman Shen
- Layer Breeding and Production, Jiangsu Institute of Poultry Science, Chinese Academy of Agricultural Science, Yangzhou, China
| | - Liang Qu
- Layer Breeding and Production, Jiangsu Institute of Poultry Science, Chinese Academy of Agricultural Science, Yangzhou, China
| | - Meng Ma
- Layer Breeding and Production, Jiangsu Institute of Poultry Science, Chinese Academy of Agricultural Science, Yangzhou, China
| | - Taocun Dou
- Layer Breeding and Production, Jiangsu Institute of Poultry Science, Chinese Academy of Agricultural Science, Yangzhou, China
| | - Jian Lu
- Layer Breeding and Production, Jiangsu Institute of Poultry Science, Chinese Academy of Agricultural Science, Yangzhou, China
| | - Jun Guo
- Layer Breeding and Production, Jiangsu Institute of Poultry Science, Chinese Academy of Agricultural Science, Yangzhou, China
| | - Yuping Hu
- Layer Breeding and Production, Jiangsu Institute of Poultry Science, Chinese Academy of Agricultural Science, Yangzhou, China
| | - Guoqiang Yi
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Jingwei Yuan
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Congjiao Sun
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Kehua Wang
- Layer Breeding and Production, Jiangsu Institute of Poultry Science, Chinese Academy of Agricultural Science, Yangzhou, China
- * E-mail:
| | - Ning Yang
- National Engineering Laboratory for Animal Breeding and MOA Key Laboratory of Animal Genetics and Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
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21
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Karlsson AC, Fallahshahroudi A, Johnsen H, Hagenblad J, Wright D, Andersson L, Jensen P. A domestication related mutation in the thyroid stimulating hormone receptor gene (TSHR) modulates photoperiodic response and reproduction in chickens. Gen Comp Endocrinol 2016; 228:69-78. [PMID: 26873630 DOI: 10.1016/j.ygcen.2016.02.010] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/10/2015] [Revised: 02/01/2016] [Accepted: 02/08/2016] [Indexed: 12/31/2022]
Abstract
The thyroid stimulating hormone receptor gene (TSHR) has been suggested to be a "domestication locus" in the chicken. A strong selective sweep over TSHR in domestic breeds together with significant effects of a mutation in the gene on several domestication related traits, indicate that the gene has been important for chicken domestication. TSHR plays a key role in the signal transduction of seasonal reproduction, which is characteristically less strict in domestic animals. We used birds from an advanced intercross line between ancestral Red Junglefowl (RJF) and domesticated White Leghorn (WL) to investigate effects of the mutation on reproductive traits as well as on TSHB, TSHR, DIO2 and DIO3 gene expression during altered day length (photoperiod). We bred chickens homozygous for either the mutation (d/d) or wild type allele (w/w), allowing assessment of the effect of genotype at this locus while also controlling for background variation in the rest of the genome. TSHR gene expression in brain was significantly lower in both d/d females and males and d/d females showed a faster onset of egg laying at sexual maturity than w/w. Furthermore, d/d males showed a reduced testicular size response to decreased day length, and lower levels of TSHB and DIO3 expression. Additionally, purebred White Leghorn females kept under natural short day length in Sweden during December had active ovaries and lower levels of TSHR and DIO3 expression compared to Red Junglefowl females kept under similar conditions. Our study indicates that the TSHR mutation affects photoperiodic response in chicken by reducing dependence of seasonal reproduction, a typical domestication feature, and may therefore have been important for chicken domestication.
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Affiliation(s)
- Anna-Carin Karlsson
- IFM Biology, AVIAN Behavioural Physiology and Genomics Group, Linköping University, SE-581 83 Linköping, Sweden
| | - Amir Fallahshahroudi
- IFM Biology, AVIAN Behavioural Physiology and Genomics Group, Linköping University, SE-581 83 Linköping, Sweden
| | - Hanna Johnsen
- IFM Biology, AVIAN Behavioural Physiology and Genomics Group, Linköping University, SE-581 83 Linköping, Sweden
| | - Jenny Hagenblad
- IFM Biology, AVIAN Behavioural Physiology and Genomics Group, Linköping University, SE-581 83 Linköping, Sweden
| | - Dominic Wright
- IFM Biology, AVIAN Behavioural Physiology and Genomics Group, Linköping University, SE-581 83 Linköping, Sweden
| | - Leif Andersson
- Department of Medical Biochemistry and Microbiology, Uppsala University, Box 582, SE-751 23 Uppsala, Sweden
| | - Per Jensen
- IFM Biology, AVIAN Behavioural Physiology and Genomics Group, Linköping University, SE-581 83 Linköping, Sweden.
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22
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Quantitative Trait Locus and Genetical Genomics Analysis Identifies Putatively Causal Genes for Fecundity and Brooding in the Chicken. G3-GENES GENOMES GENETICS 2015; 6:311-9. [PMID: 26637433 PMCID: PMC4751551 DOI: 10.1534/g3.115.024299] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Life history traits such as fecundity are important to evolution because they make up components of lifetime fitness. Due to their polygenic architectures, such traits are difficult to investigate with genetic mapping. Therefore, little is known about their molecular basis. One possible way toward finding the underlying genes is to map intermediary molecular phenotypes, such as gene expression traits. We set out to map candidate quantitative trait genes for egg fecundity in the chicken by combining quantitative trait locus mapping in an advanced intercross of wild by domestic chickens with expression quantitative trait locus mapping in the same birds. We measured individual egg fecundity in 232 intercross chickens in two consecutive trials, the second one aimed at measuring brooding. We found 12 loci for different aspects of egg fecundity. We then combined the genomic confidence intervals of these loci with expression quantitative trait loci from bone and hypothalamus in the same intercross. Overlaps between egg loci and expression loci, and trait–gene expression correlations identify 29 candidates from bone and five from hypothalamus. The candidate quantitative trait genes include fibroblast growth factor 1, and mitochondrial ribosomal proteins L42 and L32. In summary, we found putative quantitative trait genes for egg traits in the chicken that may have been affected by regulatory variants under chicken domestication. These represent, to the best of our knowledge, some of the first candidate genes identified by genome-wide mapping for life history traits in an avian species.
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Wright D. The Genetic Architecture of Domestication in Animals. Bioinform Biol Insights 2015; 9:11-20. [PMID: 26512200 PMCID: PMC4603525 DOI: 10.4137/bbi.s28902] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2015] [Revised: 08/24/2015] [Accepted: 08/26/2015] [Indexed: 12/12/2022] Open
Abstract
Domestication has been essential to the progress of human civilization, and the process itself has fascinated biologists for hundreds of years. Domestication has led to a series of remarkable changes in a variety of plants and animals, in what is termed the “domestication phenotype.” In domesticated animals, this general phenotype typically consists of similar changes in tameness, behavior, size/morphology, color, brain composition, and adrenal gland size. This domestication phenotype is seen in a range of different animals. However, the genetic basis of these associated changes is still puzzling. The genes for these different traits tend to be grouped together in clusters in the genome, though it is still not clear whether these clusters represent pleiotropic effects, or are in fact linked clusters. This review focuses on what is currently known about the genetic architecture of domesticated animal species, if genes of large effect (often referred to as major genes) are prevalent in driving the domestication phenotype, and whether pleiotropy can explain the loci underpinning these diverse traits being colocated.
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Affiliation(s)
- Dominic Wright
- IFM Biology, AVIAN Behavioural Genomics and Physiology Group, Linköping University, Linköping, Sweden
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Atikuzzaman M, Mehta Bhai R, Fogelholm J, Wright D, Rodriguez-Martinez H. Mating induces the expression of immune- and pH-regulatory genes in the utero-vaginal junction containing mucosal sperm-storage tubuli of hens. Reproduction 2015; 150:473-83. [PMID: 26370241 PMCID: PMC4625885 DOI: 10.1530/rep-15-0253] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/08/2015] [Indexed: 02/02/2023]
Abstract
The female chicken, as with other species with internal fertilization, can tolerate the presence of spermatozoa within specialized sperm-storage tubuli (SST) located in the mucosa of the utero-vaginal junction (UVJ) for days or weeks, without eliciting an immune response. To determine if the oviduct alters its gene expression in response to sperm entry, segments from the oviduct (UVJ, uterus, isthmus, magnum and infundibulum) of mated and unmated (control) hens, derived from an advanced inter-cross line between Red Junglefowl and White Leghorn, were explored 24 h after mating using cDNA microarray analysis. Mating shifted the expression of fifteen genes in the UVJ (53.33% immune-modulatory and 20.00% pH-regulatory) and seven genes in the uterus, none of the genes in the latter segment overlapping the former (with the differentially expressed genes themselves being less related to immune-modulatory function). The other oviductal segments did not show any significant changes. These findings suggest sperm deposition causes a shift in expression in the UVJ (containing mucosal SST) and the uterus for genes involved in immune-modulatory and pH-regulatory functions, both relevant for sperm survival in the hen's oviduct.
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Affiliation(s)
- Mohammad Atikuzzaman
- Linköping UniversityDepartment of Clinical and Experimental MedicineFaculty of Medicine and Health SciencesDepartment of PhysicsChemistry and Biology, Faculty of Science and Engineering, Campus HU/US, Developmental Biology, Lasarettsgatan 64/65, Lanken, Floor 12, SE-581 85 Linköping, Sweden
| | - Ratnesh Mehta Bhai
- Linköping UniversityDepartment of Clinical and Experimental MedicineFaculty of Medicine and Health SciencesDepartment of PhysicsChemistry and Biology, Faculty of Science and Engineering, Campus HU/US, Developmental Biology, Lasarettsgatan 64/65, Lanken, Floor 12, SE-581 85 Linköping, Sweden
| | - Jesper Fogelholm
- Linköping UniversityDepartment of Clinical and Experimental MedicineFaculty of Medicine and Health SciencesDepartment of PhysicsChemistry and Biology, Faculty of Science and Engineering, Campus HU/US, Developmental Biology, Lasarettsgatan 64/65, Lanken, Floor 12, SE-581 85 Linköping, Sweden
| | - Dominic Wright
- Linköping UniversityDepartment of Clinical and Experimental MedicineFaculty of Medicine and Health SciencesDepartment of PhysicsChemistry and Biology, Faculty of Science and Engineering, Campus HU/US, Developmental Biology, Lasarettsgatan 64/65, Lanken, Floor 12, SE-581 85 Linköping, Sweden
| | - Heriberto Rodriguez-Martinez
- Linköping UniversityDepartment of Clinical and Experimental MedicineFaculty of Medicine and Health SciencesDepartment of PhysicsChemistry and Biology, Faculty of Science and Engineering, Campus HU/US, Developmental Biology, Lasarettsgatan 64/65, Lanken, Floor 12, SE-581 85 Linköping, Sweden
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Johnsson M, Jonsson KB, Andersson L, Jensen P, Wright D. Genetic regulation of bone metabolism in the chicken: similarities and differences to Mammalian systems. PLoS Genet 2015; 11:e1005250. [PMID: 26023928 PMCID: PMC4449198 DOI: 10.1371/journal.pgen.1005250] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2014] [Accepted: 04/28/2015] [Indexed: 11/19/2022] Open
Abstract
Birds have a unique bone physiology, due to the demands placed on them through egg production. In particular their medullary bone serves as a source of calcium for eggshell production during lay and undergoes continuous and rapid remodelling. We take advantage of the fact that bone traits have diverged massively during chicken domestication to map the genetic basis of bone metabolism in the chicken. We performed a quantitative trait locus (QTL) and expression QTL (eQTL) mapping study in an advanced intercross based on Red Junglefowl (the wild progenitor of the modern domestic chicken) and White Leghorn chickens. We measured femoral bone traits in 456 chickens by peripheral computerised tomography and femoral gene expression in a subset of 125 females from the cross with microarrays. This resulted in 25 loci for female bone traits, 26 loci for male bone traits and 6318 local eQTL loci. We then overlapped bone and gene expression loci, before checking for an association between gene expression and trait values to identify candidate quantitative trait genes for bone traits. A handful of our candidates have been previously associated with bone traits in mice, but our results also implicate unexpected and largely unknown genes in bone metabolism. In summary, by utilising the unique bone metabolism of an avian species, we have identified a number of candidate genes affecting bone allocation and metabolism. These findings can have ramifications not only for the understanding of bone metabolism genetics in general, but could also be used as a potential model for osteoporosis as well as revealing new aspects of vertebrate bone regulation or features that distinguish avian and mammalian bone. In this work we seek to further the understanding of bone genetics by mapping bone traits and gene expression in the chicken. Bone in female birds is special due to egg production. In this study, we combine the genetic mapping of bone traits with bone gene expression to find candidate quantitative trait genes that explain the differences between wild and domestic chickens in terms of bone production. The concept of combining genetic mapping and gene expression mapping is not new, and has already been successful in isolating bone-related genes in mammals, however this is the first time it has been applied to an avian system with such unique bone modelling processes. We aim to reveal new molecular mechanisms of bone regulation, and many of the candidates we find are new, highlighting the potential this technique has to identify the potential differences between avian and mammalian bone biology.
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Affiliation(s)
- Martin Johnsson
- AVIAN Behavioural Genomics and Physiology group, IFM Biology, Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden
| | - Kenneth B. Jonsson
- Department of Surgical Sciences, Orthopaedics, Akademiska Sjukhuset, Uppsala University, Uppsala, Sweden
| | - Leif Andersson
- Department of Medical Biochemistry and Microbiology, BMC, Uppsala University, Uppsala, Sweden
| | - Per Jensen
- AVIAN Behavioural Genomics and Physiology group, IFM Biology, Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden
| | - Dominic Wright
- AVIAN Behavioural Genomics and Physiology group, IFM Biology, Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden
- * E-mail:
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Gering E, Johnsson M, Willis P, Getty T, Wright D. Mixed ancestry and admixture in Kauai's feral chickens: invasion of domestic genes into ancient Red Junglefowl reservoirs. Mol Ecol 2015; 24:2112-24. [DOI: 10.1111/mec.13096] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2014] [Revised: 12/17/2014] [Accepted: 12/20/2014] [Indexed: 12/30/2022]
Affiliation(s)
- E. Gering
- Kellogg Biological Station Michigan State University 3700 East Gull Lake Road Hickory Corners MI 49060 USA
| | - M. Johnsson
- IFM Biology AVIAN Behavioural Genomics and Physiology Group Division of Zoology AVIAN Behavioural Genomics and Physiology Group Linköping University S – 581 83, Linköping Sweden
| | - P. Willis
- Department of Biology University of Victoria Cunningham 202 3800 Finnerty Road Victoria, BC V8P 5C2 Canada
| | - T. Getty
- Kellogg Biological Station Michigan State University 3700 East Gull Lake Road Hickory Corners MI 49060 USA
| | - D. Wright
- IFM Biology AVIAN Behavioural Genomics and Physiology Group Division of Zoology AVIAN Behavioural Genomics and Physiology Group Linköping University S – 581 83, Linköping Sweden
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