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Haqani MI, Nakano M, Nagano AJ, Nakamura Y, Tsudzuki M. Association analysis of production traits of Japanese quail (Coturnix japonica) using restriction-site associated DNA sequencing. Sci Rep 2023; 13:21307. [PMID: 38042890 PMCID: PMC10693557 DOI: 10.1038/s41598-023-48293-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 10/10/2023] [Accepted: 11/24/2023] [Indexed: 12/04/2023] Open
Abstract
This study was designed to perform an association analysis and identify SNP markers associated with production traits of Japanese quail using restriction-site-associated DNA sequencing. Weekly body weight data from 805 quail were collected from hatching to 16 weeks of age. A total number of 3990 eggs obtained from 399 female quail were used to assess egg quality traits. Egg-related traits were measured at the beginning of egg production (first stage) and at 12 weeks of age (second stage). Five eggs were analyzed at each stage. Traits, such as egg weight, egg length and short axes, eggshell strength and weight, egg equator thickness, yolk weight, diameter, and colour, albumen weight, age of first egg, total number of laid eggs, and egg production rate, were assessed. A total of 383 SNPs and 1151 associations as well as 734 SNPs and 1442 associations were identified in relation to quail production traits using general linear model (GLM) and mixed linear model (MLM) approaches, respectively. The GLM-identified SNPs were located on chromosomes 1-13, 15, 17-20, 24, 26-28, and Z, underlying phenotypic traits, except for egg and albumen weight at the first stage and yolk yellowness at the second stage. The MLM-identified SNPs were positioned on defined chromosomes associated with phenotypic traits except for the egg long axis at the second stage of egg production. Finally, 35 speculated genes were identified as candidate genes for the targeted traits based on their nearest positions. Our findings provide a deeper understanding and allow a more precise genetic improvement of production traits of Galliformes, particularly in Japanese quail.
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Affiliation(s)
- Mohammad Ibrahim Haqani
- Graduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, Hiroshima, 739-8525, Japan.
| | - Michiharu Nakano
- Faculty of Agriculture and Marine Sciences, Kochi University, Nankoku, Kochi, 783-8502, Japan
| | - Atsushi J Nagano
- Faculty of Agriculture, Ryukoku University, Otsu, Shiga, 520-2194, Japan
- Institute for Advanced Biosciences, Keio University, Yamagata, 997-0017, Japan
| | - Yoshiaki Nakamura
- Graduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, Hiroshima, 739-8525, Japan
- Japanese Avian Bioresource Project Research Center, Hiroshima University, Higashi-Hiroshima, Hiroshima, 739-8525, Japan
| | - Masaoki Tsudzuki
- Graduate School of Integrated Sciences for Life, Hiroshima University, Higashi-Hiroshima, Hiroshima, 739-8525, Japan.
- Japanese Avian Bioresource Project Research Center, Hiroshima University, Higashi-Hiroshima, Hiroshima, 739-8525, Japan.
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Wang D, Teng J, Ning C, Wang W, Liu S, Zhang Q, Tang H. Mitogenome-wide association study on body measurement traits of Wenshang Barred chickens. Anim Biotechnol 2023; 34:3154-3161. [PMID: 36282276 DOI: 10.1080/10495398.2022.2137035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Mitochondria are best known for synthesizing ATP through the tricarboxylic acid cycle and oxidative phosphorylation. The cytoplasmic mitochondrial DNA (mtDNA) is important for maintaining the function. This study was designed to reveal the effect of mtDNA on chicken body measurement traits (BMTs). A population of 605 Wenshang Barred chickens were recorded BMTs, including body slope length, keel length, chest width, etc. The single-nucleotide polymorphisms (SNPs) of their mitogenomes were detected by PCR amplification and DNA sequencing. Totally 69 mutations in mitogenome were discovered, including 18 in noncoding region and 51 in coding region. By multi-sequence alignment and haplotype construction, the chickens were clustered into eight haplotypes and further three haplogroups. The association between BMTs and mtDNA SNPs, haplotypes and haplogroups were analyzed in the linear model by ASReml, respectively. Among them, the SNP mt11086 T/C in ND3 was found to significantly affect chest dept (p < .05) and was highly conservative by phylogenetic conservation analyses, which reflected the genetic effect on body size and growth of chickens. No significant association between the mitochondrial haplotypes or haplogroups and BMTs was found. The polymorphic site reflecting body size could be put into chicken breeding programs as the genetic marker.
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Affiliation(s)
- Dan Wang
- College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai'an, China
| | - Jun Teng
- College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai'an, China
| | - Chao Ning
- College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai'an, China
| | - Wenwen Wang
- College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai'an, China
| | - Shuai Liu
- College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai'an, China
| | - Qin Zhang
- College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai'an, China
| | - Hui Tang
- College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Tai'an, China
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Kudinov AA, Dementieva NV, Mitrofanova OV, Stanishevskaya OI, Fedorova ES, Larkina TA, Mishina AI, Plemyashov KV, Griffin DK, Romanov MN. Genome-wide association studies targeting the yield of extraembryonic fluid and production traits in Russian White chickens. BMC Genomics 2019; 20:270. [PMID: 30947682 PMCID: PMC6449956 DOI: 10.1186/s12864-019-5605-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Accepted: 03/13/2019] [Indexed: 01/09/2023] Open
Abstract
Background The Russian White is a gene pool breed, registered in 1953 after crossing White Leghorns with local populations and, for 50 years, selected for cold tolerance and high egg production (EL). The breed has great potential in meeting demands of local food producers, commercial farmers and biotechnology sector of specific pathogen-free (SPF) eggs, the former valuing the breed for its egg weight (EW), EL, age at first egg (AFE), body weight (BW), and the latter for its yield of extraembryonic fluid (YEF) in 12.5-day embryos, ratio of extraembryonic fluid to egg weight, and embryo mass. Moreover, its cold tolerance has been presumably associated with day-old chick down colour (DOCDC) – white rather than yellow, the genetic basis of these traits being however poorly understood. Results We undertook genome-wide association studies (GWASs) for eight performance traits using single nucleotide polymorphism (SNP) genotyping of 146 birds and an Illumina 60KBeadChip. Several suggestive associations (p < 5.16*10− 5) were found for YEF, AFE, BW and EW. Moreover, on chromosome 2, an association with the white DOCDC was found where there is an linkage disequilibrium block of SNPs including genes that are responsible not for colour, but for immune resistance. Conclusions The obtained GWAS data can be used to explore the genetics of immunity and carry out selection for increasing YEF for SPF eggs production. Electronic supplementary material The online version of this article (10.1186/s12864-019-5605-5) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Andrei A Kudinov
- Russian Research Institute of Farm Animal Genetics and Breeding Branch of the L. K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St Petersburg, 196601, Russia.,University of Helsinki, FI-00014, Helsinki, Finland
| | - Natalia V Dementieva
- Russian Research Institute of Farm Animal Genetics and Breeding Branch of the L. K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St Petersburg, 196601, Russia
| | - Olga V Mitrofanova
- Russian Research Institute of Farm Animal Genetics and Breeding Branch of the L. K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St Petersburg, 196601, Russia
| | - Olga I Stanishevskaya
- Russian Research Institute of Farm Animal Genetics and Breeding Branch of the L. K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St Petersburg, 196601, Russia
| | - Elena S Fedorova
- Russian Research Institute of Farm Animal Genetics and Breeding Branch of the L. K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St Petersburg, 196601, Russia
| | - Tatiana A Larkina
- Russian Research Institute of Farm Animal Genetics and Breeding Branch of the L. K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St Petersburg, 196601, Russia
| | - Arina I Mishina
- Russian Research Institute of Farm Animal Genetics and Breeding Branch of the L. K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St Petersburg, 196601, Russia
| | - Kirill V Plemyashov
- Russian Research Institute of Farm Animal Genetics and Breeding Branch of the L. K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St Petersburg, 196601, Russia
| | - Darren K Griffin
- School of Biosciences, University of Kent, Canterbury, Kent, CT2 7NJ, UK.
| | - Michael N Romanov
- Russian Research Institute of Farm Animal Genetics and Breeding Branch of the L. K. Ernst Federal Science Centre for Animal Husbandry, Pushkin, St Petersburg, 196601, Russia.,School of Biosciences, University of Kent, Canterbury, Kent, CT2 7NJ, UK
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Zheng H, Li H, Tan W, Xu C, Jia L, Wang D, Li Z, Sun G, Kang X, Yan F, Liu X. Oestrogen regulates the expression of cathepsin E-A-like gene through ERΒ in liver of chicken (Gallus gallus). J Genet 2018; 97:145-155. [PMID: 29666334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
The cathepsin E-A-like, also known as 'similar to nothepsin', is a new member of the aspartic protease family, which may take part in processing of egg yolk macromolecules, due to it was identified in the chicken egg-yolk. Previously, studies have suggested that the expression of cathepsin E-A-like increased gradually during sexual maturation of pullets, but the exact regulation mechanism is poorly understood. In this study, to gain insight into the function and regulation mechanism of the gene in egg-laying hen, we cloned the cathepsin E-A-like gene and evaluated its evolutionary origin by using both phylogenetic and syntenic methods. The mode of the gene expression regulation was analysed through stimulating juvenile hens with 17β-estradiol and chicken embryo hepatocytes with 17β-estradiol combined with oestrogen receptor antagonists including MPP, ICI 182,780 and tamoxifen. Our results showed that cathepsin E-A-like was an orthologoues gene with nothepsin, which is present in birds but not in mammals. The expression of cathepsin E-A-like significantly increased in a dose-dependent manner after the juvenile hens were treated with 17β-estradiol (P < 0.05). Compared with the 17β-estradiol treatment group, the expression of cathepsin E-A-like was not significantly changed when the hepatocytes were treated with 17β-estradiol combined with MPP (P < 0.05). In contrast, compared with the 17β-estradiol combined with MPP treatment group, the expression of cathepsin E-A-like was significantly downregulated when the hepatocytes were treated with 17β-estradiol combined with tamoxifen or ICI 182,780 (P < 0.05). These results demonstrated that cathepsin E-A-like shared the same evolutionary origin with nothepsin. The expression of cathepsin E-A-like was regulated by oestrogen, and the regulative effect was predominantly mediated through ER-Β in liver of chicken.
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Affiliation(s)
- Hang Zheng
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou 450002, People's Republic of China.
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Oestrogen regulates the expression of cathepsin E-A-like gene through ER
$$\upbeta $$
β
in liver of chicken (Gallus gallus). J Genet 2018. [DOI: 10.1007/s12041-018-0890-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Rimoldi S, Lasagna E, Sarti FM, Marelli SP, Cozzi MC, Bernardini G, Terova G. Expression profile of six stress-related genes and productive performances of fast and slow growing broiler strains reared under heat stress conditions. Meta Gene 2015; 6:17-25. [PMID: 26380816 PMCID: PMC4556841 DOI: 10.1016/j.mgene.2015.08.003] [Citation(s) in RCA: 65] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2015] [Revised: 08/16/2015] [Accepted: 08/17/2015] [Indexed: 10/25/2022] Open
Abstract
High temperature is one of the prominent environmental factors causing economic losses to the poultry industry as it negatively affects growth and production performance in broiler chickens. We used One Step TaqMan real time RT-PCR (reverse transcription polymerase chain reaction) technology to study the effects of chronic heat stress on the expression of genes codifying for the antioxidative enzymes superoxide dismutase (SOD), and catalase (CAT), as well as for heat shock protein (HSP) 70, HSP90, glucocorticoid receptor (NR3C1), and caspase 6 (CASP6) in the liver of two different broiler genetic strains: Red JA Cou Nu Hubbard (CN) and Ross 508 Aviagen (RO). CN is a naked neck slow growing broiler intended for the free range and/or organic markets, whereas RO is selected for fast growing. We also analysed the effect of chronic heat stress on productive performances, and plasma corticosterone levels as well as the association between transcriptomic response and specific SNPs (single nucleotide polymorphisms) in each genetic strain of broiler chickens. RO and CN broilers, 4 weeks of age, were maintained for 4 weeks at either 34 °C or 22 °C. The results demonstrated that there was a genotype and a temperature main effect on the broilers' growth from the 4th to the 8th week of age, but the interaction effect between genotype and temperature resulted not statistically significant. By considering the genotype effect, fast growing broilers (RO) grew more than the slow growing ones (CN), whereas by considering the temperature effect, broilers in unheated conditions grew more than the heat stressed ones. Corticosterone levels increased significantly in the blood of heat stressed broilers, due to the activation of the HPA (hypothalamic-pituitary-adrenocortical axis). Carcass yield at slaughter was of similar values in the 4 cohorts (genotype/temperature combinations or treatment groups), ranging from 86.5 to 88.6%, whereas carcass weight was negatively influenced by heat stress in both broiler strains. Heat stress affected gene expression by downregulating CASP6 and upregulating CAT transcript levels. HSPs, SOD and NR3C1 mRNA levels remained unaffected by heat stress. The differences found in the mRNA copies of CASP6 gene could be partly explained by SNPs.
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Key Words
- Antioxidant enzymes
- Broiler
- CASP6, caspase 6
- CAT, catalase
- CN, Red JA Cou Nu Hubbard
- CORT, corticosterone
- Corticosterone
- Ct, cycle threshold
- GPX, glutathione peroxidase
- Gene expression
- HPA, hypothalamic–pituitary–adrenocortical axis
- HSP, heat shock protein
- Heat stress
- NR3C1, glucocorticoid receptor: GR or nuclear receptor subfamily 3, group c, member 1
- PCR, polymerase chain reaction
- RO, Ross 508 Aviagen
- RT-PCR, reverse transcription PCR
- Real time PCR
- SNP, single nucleotide polymorphism
- SOD, superoxide dismutase
- cDNA, DNA complementary to RNA
- kDa, kilodalton(s)
- rTH, reverse transcriptase
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Affiliation(s)
- Simona Rimoldi
- University of Insubria, Department of Biotechnology and Life Sciences, Varese, Italy
| | - Emiliano Lasagna
- University of Perugia, Department of Agricultural, Food and Environmental Sciences, Perugia, Italy
| | - Francesca Maria Sarti
- University of Perugia, Department of Agricultural, Food and Environmental Sciences, Perugia, Italy
| | - Stefano Paolo Marelli
- University of Milan, Department of Veterinary Science and Public Health, Milan, Italy
| | - Maria Cristina Cozzi
- University of Milan,
- Department of Health, Animal Science and Food Safety, Milan, Italy
| | - Giovanni Bernardini
- University of Insubria, Department of Biotechnology and Life Sciences, Varese, Italy ; Inter-University Centre for Research in Protein Biotechnologies "The Protein Factory" - Polytechnic University of Milan and University of Insubria, Varese, Italy
| | - Genciana Terova
- University of Insubria, Department of Biotechnology and Life Sciences, Varese, Italy ; Inter-University Centre for Research in Protein Biotechnologies "The Protein Factory" - Polytechnic University of Milan and University of Insubria, Varese, Italy
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