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Chen A, Zhao X, Wen J, Zhao X, Wang G, Zhang X, Ren X, Zhang Y, Cheng X, Yu X, Mei X, Wang H, Guo M, Jiang X, Wei G, Wang X, Jiang R, Guo X, Ning Z, Qu L. Genetic parameter estimation and molecular foundation of chicken egg-laying trait. Poult Sci 2024; 103:103627. [PMID: 38593551 PMCID: PMC11015155 DOI: 10.1016/j.psj.2024.103627] [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: 01/08/2024] [Revised: 02/23/2024] [Accepted: 03/04/2024] [Indexed: 04/11/2024] Open
Abstract
The age of first egg (AFE) in chicken can affect early and even life-time egg production performance to some extent, and therefore is an important economic trait that affects production efficiency. To better understand the genetic patterns of AFE and other production traits including body weight at first egg (BWA), first egg weight (FEW), and total egg number from AFE to 58 wk of age (total-EN), we recorded the production performance of 2 widely used layer breeds, white leghorn (WL) and Rhode Island Red (RIR) and estimated genetic parameters based on pedigree and production data. The results showed that the heritability of AFE in both breeds ranged from 0.4 to 0.6, and AFE showed strong positive genetic and phenotypic correlations to BWA as well as FEW, while showing strong negative genetic and phenotypic correlations with total-EN. Furtherly, by genome-wide association analysis study (GWAS), we identified 12 and 26 significant SNPs to be related to AFE in the 2-layer breeds, respectively. A total of 18 genes were identified that could affect AFE based on the significant SNP annotations obtained, but there were no gene overlapped in the 2 breeds indicating the genetic foundation of AFE could differ from breed to breed. Our results provided a deeper understanding of genetic patterns and molecular basement of AFE in different breeds and could help in the selection of egg production traits.
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Affiliation(s)
- Anqi Chen
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xiaoyu Zhao
- Xingrui Agricultural Stock Breeding, Baoding Hebei Province, 072550 China
| | - Junhui Wen
- Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agricultural and Forestry Sciences, Beijing 100097, China
| | - Xiurong Zhao
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Gang Wang
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xinye Zhang
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xufang Ren
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Yalan Zhang
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xue Cheng
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xiaofan Yu
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xiaohan Mei
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Huie Wang
- Xinjiang Production and Construction Corps, Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin, Tarim University, Alar 843300, China
| | - Menghan Guo
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Xiaoyu Jiang
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Guozhen Wei
- Qingliu Animal Husbandry, Veterinary and Aquatic Products Center, Sanming, China
| | - Xue Wang
- VVBK Animal Medical Diagnostic Technology (Beijing) Co. Ltd, Beijing, China
| | - Runshen Jiang
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Xing Guo
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China
| | - Zhonghua Ning
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China
| | - Lujiang Qu
- National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China; Xinjiang Production and Construction Corps, Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin, Tarim University, Alar 843300, China.
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2
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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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3
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Du Y, Cao C, Liu Y, Zi X, He Y, Shi H, Zhao J, Ge C, Wang K. Polymorphism, Genetic Effect, and Association with Egg-Laying Performance of Chahua Chickens Matrix Metalloproteinases 13 Promoter. Genes (Basel) 2023; 14:1352. [PMID: 37510257 PMCID: PMC10379211 DOI: 10.3390/genes14071352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 06/18/2023] [Accepted: 06/23/2023] [Indexed: 07/30/2023] Open
Abstract
Matrix metalloproteinases are a group of proteases involved in the regulation of ovarian follicular development and ovulation. Among the different MMPs, MMP13 is known to play an important role in reproduction. Therefore, this study aimed to screen the molecular genetic markers of the MMP13 gene that affect the egg-laying performance of Chahua chickens. Polymerase chain reaction (PCR) and sequencing were performed in the 5' regulation region of the MMP13 gene to detect loci significantly related to the egg-laying performance of Chahua chickens. A double fluorescence reporting system, quantitative reverse transcription PCR (RT-qPCR), and Western blotting were used to study whether gene expression was regulated by identified sites, providing a theoretical basis to improve egg production in Chahua chickens. The results revealed six single nucleotide polymorphisms (SNPs; A-1887T, T-1889C, A-1890T, T-2252C, T-2329C, and C-2360A) in the promoter region of the MMP13 gene. Further analysis revealed that hens with T-1890-C-1889-T-1887/T-1890-C-1889-T-1887 (mutant type, MT) had an earlier age at first egg (AFE) than hens with A-1890-T-1889-A-1887/A-1890-T-1889-A-1887 (wild type, WT; p < 0.05). RT-qPCR showed that the relative expression level of the MMP13 gene in the ovarian tissues of individuals with the mutation was higher than that of individuals with the wild gene (p < 0.05). Western blot results confirmed higher levels of the MMP13 protein in MT ovaries compared to those in WT ovaries. Thus, this study suggests that mutation sites on the MMP13 promoter may affect gene expression. In conclusion, the MMP13 gene in Chahua chickens may be significant for egg-laying performance, and the polymorphism in its promoter region could be used as a molecular marker to improve egg-laying performance.
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Affiliation(s)
- Yanli Du
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming 650201, China
- College of Agronomy and Life Sciences, Kunming University, Kunming 650200, China
| | - Changwei Cao
- Department of Food Science and Engineering, College of Biological Sciences, Southwest Forestry University, Kunming 650201, China
| | - Yong Liu
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming 650201, China
| | - Xiannian Zi
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming 650201, China
| | - Yang He
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming 650201, China
| | - Hongmei Shi
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming 650201, China
| | - Jinbo Zhao
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming 650201, China
| | - Changrong Ge
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming 650201, China
| | - Kun Wang
- Yunnan Provincial Key Laboratory of Animal Nutrition and Feed, Yunnan Agricultural University, Kunming 650201, China
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4
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Smith SS, Chu D, Qu T, Aggleton JA, Schneider RA. Species-specific sensitivity to TGFβ signaling and changes to the Mmp13 promoter underlie avian jaw development and evolution. eLife 2022; 11:e66005. [PMID: 35666955 PMCID: PMC9246370 DOI: 10.7554/elife.66005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 06/03/2022] [Indexed: 12/02/2022] Open
Abstract
Precise developmental control of jaw length is critical for survival, but underlying molecular mechanisms remain poorly understood. The jaw skeleton arises from neural crest mesenchyme (NCM), and we previously demonstrated that these progenitor cells express more bone-resorbing enzymes including Matrix metalloproteinase 13 (Mmp13) when they generate shorter jaws in quail embryos versus longer jaws in duck. Moreover, if we inhibit bone resorption or Mmp13, we can increase jaw length. In the current study, we uncover mechanisms establishing species-specific levels of Mmp13 and bone resorption. Quail show greater activation of and sensitivity to transforming growth factor beta (TGFβ) signaling than duck; where intracellular mediators like SMADs and targets like Runt-related transcription factor 2 (Runx2), which bind Mmp13, become elevated. Inhibiting TGFβ signaling decreases bone resorption, and overexpressing Mmp13 in NCM shortens the duck lower jaw. To elucidate the basis for this differential regulation, we examine the Mmp13 promoter. We discover a SMAD-binding element and single nucleotide polymorphisms (SNPs) near a RUNX2-binding element that distinguish quail from duck. Altering the SMAD site and switching the SNPs abolish TGFβ sensitivity in the quail Mmp13 promoter but make the duck promoter responsive. Thus, differential regulation of TGFβ signaling and Mmp13 promoter structure underlie avian jaw development and evolution.
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Affiliation(s)
- Spenser S Smith
- Department of Orthopaedic Surgery, University of California, San FranciscoSan FranciscoUnited States
| | - Daniel Chu
- Department of Orthopaedic Surgery, University of California, San FranciscoSan FranciscoUnited States
| | - Tiange Qu
- Department of Orthopaedic Surgery, University of California, San FranciscoSan FranciscoUnited States
| | - Jessye A Aggleton
- Department of Orthopaedic Surgery, University of California, San FranciscoSan FranciscoUnited States
| | - Richard A Schneider
- Department of Orthopaedic Surgery, University of California, San FranciscoSan FranciscoUnited States
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5
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Matrix Metalloproteinases (MMPs) and Inhibitors of MMPs in the Avian Reproductive System: An Overview. Int J Mol Sci 2021; 22:ijms22158056. [PMID: 34360823 PMCID: PMC8348296 DOI: 10.3390/ijms22158056] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2021] [Revised: 07/22/2021] [Accepted: 07/23/2021] [Indexed: 12/31/2022] Open
Abstract
Many matrix metalloproteinases (MMPs) are produced in the mammalian reproductive system and participate in the regulation of its functions. In birds, the limited information available thus far indicates that MMPs are significant regulators of avian ovarian and oviductal functions, too. Some MMPs and inhibitors of MMPs are present in the hen reproductive tissues and their abundances and/or activities change according to the physiological state. The intraovarian role of MMPs likely includes the remodeling of the extracellular matrix (ECM) during folliculogenesis, follicle atresia, and postovulatory regression. In the oviduct, MMPs are also involved in ECM turnover during oviduct development and regression. This study provides a review of the current knowledge on the presence, activity, and regulation of MMPs in the female reproductive system of birds.
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6
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Shen QK, Peng MS, Adeola AC, Kui L, Duan S, Miao YW, Eltayeb NM, Lichoti JK, Otecko NO, Strillacci MG, Gorla E, Bagnato A, Charles OS, Sanke OJ, Dawuda PM, Okeyoyin AO, Musina J, Njoroge P, Agwanda B, Kusza S, Nanaei HA, Pedar R, Xu MM, Du Y, Nneji LM, Murphy RW, Wang MS, Esmailizadeh A, Dong Y, Ommeh SC, Zhang YP. Genomic Analyses of Unveil Helmeted Guinea Fowl (Numida meleagris) Domestication in West Africa. Genome Biol Evol 2021; 13:6261762. [PMID: 34009300 PMCID: PMC8214406 DOI: 10.1093/gbe/evab090] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/30/2021] [Indexed: 12/22/2022] Open
Abstract
Domestication of the helmeted guinea fowl (HGF; Numida meleagris) in Africa remains elusive. Here we report a high-quality de novo genome assembly for domestic HGF generated by long- and short-reads sequencing together with optical and chromatin interaction mapping. Using this assembly as the reference, we performed population genomic analyses for newly sequenced whole-genomes for 129 birds from Africa, Asia, and Europe, including domestic animals (n = 89), wild progenitors (n = 34), and their closely related wild species (n = 6). Our results reveal domestication of HGF in West Africa around 1,300-5,500 years ago. Scanning for selective signals characterized the functional genes in behavior and locomotion changes involved in domestication of HGF. The pleiotropy and linkage in genes affecting plumage color and fertility were revealed in the recent breeding of Italian domestic HGF. In addition to presenting a missing piece to the jigsaw puzzle of domestication in poultry, our study provides valuable genetic resources for researchers and breeders to improve production in this species.
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Affiliation(s)
- Quan-Kuan Shen
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.,Sino-Africa Joint Research Center, Chinese Academy of Sciences, Nairobi, Kenya.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Min-Sheng Peng
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.,Sino-Africa Joint Research Center, Chinese Academy of Sciences, Nairobi, Kenya.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Adeniyi C Adeola
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.,Sino-Africa Joint Research Center, Chinese Academy of Sciences, Nairobi, Kenya.,Centre for Biotechnology Research, Bayero University, Kano, Nigeria
| | - Ling Kui
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Yong-Wang Miao
- Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming, China
| | - Nada M Eltayeb
- Department of Animal breeding and Reproduction Technology, College of Animal Production, University of Bahri, Khartoum, Sudan
| | - Jacqueline K Lichoti
- State Department of Livestock, Ministry of Agriculture Livestock Fisheries and Irrigation, Nairobi, Kenya
| | - Newton O Otecko
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.,Sino-Africa Joint Research Center, Chinese Academy of Sciences, Nairobi, Kenya.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | | | - Erica Gorla
- Department of Veterinary Medicine, Università degli Studi di Milano, Italy
| | - Alessandro Bagnato
- Department of Veterinary Medicine, Università degli Studi di Milano, Italy
| | | | - Oscar J Sanke
- Taraba State Ministry of Agriculture and Natural Resources, Jalingo, Nigeria
| | - Philip M Dawuda
- Department of Veterinary Surgery and Theriogenology, College of Veterinary Medicine, University of Agriculture, Makurdi, Nigeria
| | - Agboola O Okeyoyin
- National Park Service Headquarter, Federal Capital Territory, Abuja, Nigeria
| | - John Musina
- Department of Zoology, National Museums of Kenya, Nairobi, Kenya
| | - Peter Njoroge
- Department of Zoology, National Museums of Kenya, Nairobi, Kenya
| | - Bernard Agwanda
- Department of Zoology, National Museums of Kenya, Nairobi, Kenya
| | - Szilvia Kusza
- Centre for Agricultural Genomics and Biotechnology, University of Debrecen, Debrecen, Hungary
| | | | - Rana Pedar
- Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Iran
| | - Ming-Min Xu
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.,Sino-Africa Joint Research Center, Chinese Academy of Sciences, Nairobi, Kenya.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China
| | - Yuan Du
- Nowbio Biotechnology Company, Kunming, China
| | - Lotanna M Nneji
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.,Sino-Africa Joint Research Center, Chinese Academy of Sciences, Nairobi, Kenya
| | - Robert W Murphy
- Centre for Biodiversity and Conservation Biology, Royal Ontario Museum, Toronto, Ontario, Canada
| | - Ming-Shan Wang
- Howard Hughes Medical Institute, University of California Santa Cruz, California, USA.,Department of Ecology and Evolutionary Biology, University of California Santa Cruz, California, USA
| | - Ali Esmailizadeh
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.,Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Iran
| | - Yang Dong
- College of Biological Big Data, Yunnan Agriculture University, Kunming, China.,State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan Agricultural University, Kunming, China.,Key Laboratory for Agro-Biodiversity and Pest Control of Ministry of Education, Yunnan Agricultural University, Kunming, China
| | - Sheila C Ommeh
- Department of Zoology, National Museums of Kenya, Nairobi, Kenya.,Institute of Biotechnology Research, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya
| | - Ya-Ping Zhang
- State Key Laboratory of Genetic Resources and Evolution, Yunnan Laboratory of Molecular Biology of Domestic Animals, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, China.,Sino-Africa Joint Research Center, Chinese Academy of Sciences, Nairobi, Kenya.,Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, China.,State Key Laboratory for Conservation and Utilization of Bio-Resource in Yunnan, Yunnan University, Kunming, China.,Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China
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7
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Wolak D, Hrabia A. Alternations in the expression of selected matrix metalloproteinases (MMP-2, -9, -10, and -13) and their tissue inhibitors (TIMP-2 and -3) and MMP-2 and -9 activity in the chicken ovary during pause in laying induced by fasting. Theriogenology 2020; 161:176-186. [PMID: 33333443 DOI: 10.1016/j.theriogenology.2020.12.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 12/02/2020] [Accepted: 12/06/2020] [Indexed: 01/12/2023]
Abstract
Matrix metalloproteinases (MMPs) are a large group of proteolytic enzymes involved in extracellular matrix turnover in the ovary. Under physiological conditions, the activity of MMPs is controlled by specific tissue inhibitors of MMPs (TIMPs). Information concerning the role and regulation of MMPs in the chicken ovary is scarce. This study was undertaken to examine the expression of selected MMPs and their TIMPs in the chicken ovary during a pause in egg laying induced by feed deprivation. The activities of MMP-2 and MMP-9 were investigated as well. Real-time polymerase chain reaction and Western blot analyses showed changes in the expression of gelatinases (MMP-2, MMP-9), stromelysin (MMP-10), collagenase (MMP-13), TIMP-2, and TIMP-3 on mRNA and/or protein levels in the prehierarchical white (WFs) and yellowish (YFs) follicles, as well as in the largest yellow preovulatory (F3-F1) follicles. In feed-deprived hens, the occurrence of ovarian regression was accompanied by (1) a pronounced decrease in mRNA expression of the examined MMPs and TIMP-3 in all tissues except the YFs where the expression of MMP-13 was higher than in the control hen ovary; (2) an increase in the transcript abundance of TIMP-2 in the yellow atretic follicles; (3) a decrease or no changes in MMP-2 and MMP-9 protein expression in all tissues; (4) an increase in the total activity of gelatinases in the YFs and theca layer of F3; and (5) a decrease in the activity of MMP-2 in F3-F1 follicles and MMP-9 in the theca of F3. In summary, the results of the current study suggest that the selected MMPs and TIMPs may not be involved in the regulation of the advanced stages of atresia of the largest yellow preovulatory follicles in the chicken ovary. This event may require different cell signaling pathways.
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Affiliation(s)
- Dominika Wolak
- Department of Animal Physiology and Endocrinology, University of Agriculture in Krakow, Al. Mickiewicza 24/28, 30-059, Krakow, Poland
| | - Anna Hrabia
- Department of Animal Physiology and Endocrinology, University of Agriculture in Krakow, Al. Mickiewicza 24/28, 30-059, Krakow, Poland.
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8
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Du Y, Liu L, He Y, Dou T, Jia J, Ge C. Endocrine and genetic factors affecting egg laying performance in chickens: a review. Br Poult Sci 2020; 61:538-549. [PMID: 32306752 DOI: 10.1080/00071668.2020.1758299] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
1. Egg-laying performance reflects the overall reproductive performance of breeding hens. The genetic traits for egg-laying performance have low or medium heritability, and, depending on the period involved, usually ranges from 0.16 to 0.64. Egg-laying in chickens is regulated by a combination of environmental, endocrine and genetic factors. 2. The main endocrine factors that regulate egg-laying are gonadotropin-releasing hormone (GnRH), prolactin (PRL), follicle-stimulating hormone (FSH) and luteinising hormone (LH). 3. In the last three decades, many studies have explored this aspect at a molecular genetic level. Recent studies identified 31 reproductive hormone-based candidate genes that were significantly associated with egg-laying performance. With the development of genome-sequencing technology, 64 new candidate genes and 108 single nucleotide polymorphisms (SNPs) related to egg-laying performance have been found using genome-wide association studies (GWAS), providing novel insights into the molecular genetic mechanisms governing egg production. At the same time, microRNAs that regulate genes responsible for egg-laying in chickens were reviewed. 4. Research on endocrinological and genetic factors affecting egg-laying performance will greatly improve the reproductive performance of chickens and promote the protection, development, and utilisation of poultry. This review summarises studies on the endocrine and genetic factors of egg-laying performance in chickens from 1972 to 2019.
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Affiliation(s)
- Y Du
- College of Animal Science and Technology, Yunnan Agricultural University , Kunming, Yunnan, The People's Republic of China
| | - L Liu
- School of Forensic Medicine, Kunming Medical University , Kunming, Yunnan, The People's Republic of China
| | - Y He
- College of Animal Science and Technology, Yunnan Agricultural University , Kunming, Yunnan, The People's Republic of China
| | - T Dou
- College of Animal Science and Technology, Yunnan Agricultural University , Kunming, Yunnan, The People's Republic of China
| | - J Jia
- College of Animal Science and Technology, Yunnan Agricultural University , Kunming, Yunnan, The People's Republic of China
| | - C Ge
- College of Animal Science and Technology, Yunnan Agricultural University , Kunming, Yunnan, The People's Republic of China
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9
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Wolak D, Hrabia A. Tamoxifen-induced alterations in the expression of selected matrix metalloproteinases (MMP-2, -9, -10, and -13) and their tissue inhibitors (TIMP-2 and -3) in the chicken ovary. Theriogenology 2019; 148:208-215. [PMID: 31753476 DOI: 10.1016/j.theriogenology.2019.11.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 11/04/2019] [Accepted: 11/09/2019] [Indexed: 11/26/2022]
Abstract
Matrix metalloproteinases (MMPs) are a family of peptidases that disintegrate extracellular matrix (ECM) molecules associated with tissue remodeling, including reproductive tissues. Their actions are largely controlled by specific tissue inhibitors of MMPs (TIMPs). The role and regulation of MMPs in the chicken ovary is largely unknown. The aim of the present study was to examine the effect of tamoxifen (TMX; estrogen receptor modulator) treatment on the expression of selected members of the MMP system in the laying hen ovary. The activity of MMP-2 and -9 was also examined. Real-time polymerase chain reaction and western blot analyses revealed changes in mRNA and/or protein expression of MMP-2, -9, -10, -13, TIMP-2, and TIMP-3 in the following ovarian follicles after TMX treatment: white (WF), yellowish (YF), small yellow (SYF), and the largest yellow preovulatory (F3-F1). The response to TMX depended on the stage of follicle development and the layer of follicular wall. Moreover, ovarian regression following TMX treatment was accompanied by both an increase in total activity of MMP-2 in the theca layer of F3-F2 and granulosa layer of F2, and a decrease in total activity of MMP-2 in the WF, YF, and SYF, and MMP-9 in theca of F3-F1. In conclusion, the TMX-induced changes in MMP-2, -9, -10, and -13, and TIMP-2 and -3 mRNA expression, as well as MMP-2 and -9 activity, were dependent on tissue and the stage of follicular maturation. Our findings strongly suggests a role for estrogen in regulating the transcription, translation, and/or posttranslational activity of members of the MMP system. Further, these components may be involved in the orchestration of ECM turnover and cellular functions during ovary regression, which occur under conditions of reduced estrogenic activity.
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Affiliation(s)
- Dominika Wolak
- Department of Animal Physiology and Endocrinology, University of Agriculture in Krakow, al. Mickiewicza 24/28, 30-059, Krakow, Poland
| | - Anna Hrabia
- Department of Animal Physiology and Endocrinology, University of Agriculture in Krakow, al. Mickiewicza 24/28, 30-059, Krakow, Poland.
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Hrabia A, Wolak D, Kwaśniewska M, Kieronska A, Socha JK, Sechman A. Expression of gelatinases (MMP-2 and MMP-9) and tissue inhibitors of metalloproteinases (TIMP-2 and TIMP-3) in the chicken ovary in relation to follicle development and atresia. Theriogenology 2018; 125:268-276. [PMID: 30481606 DOI: 10.1016/j.theriogenology.2018.11.017] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2018] [Revised: 11/14/2018] [Accepted: 11/18/2018] [Indexed: 12/21/2022]
Abstract
Matrix metalloproteinases (MMPs) are a family of peptidases that possess the ability to break down extracellular matrix macromolecules associated with tissue turnover in various physiological and pathological conditions. Their activity is largely regulated by specific tissue inhibitors of MMPs (TIMPs). Information concerning the role of MMPs in the chicken ovary is very limited. The aim of the present study was to determine the expression and localization of selected members of the MMP system in different compartments of the laying hen ovary and to investigate whether their expression changes at different stages of the ovulatory cycle. MMP-2 and -9 activity was also examined. Expression of MMP-2, -9 and tissue inhibitors of MMPs (TIMP-2 and -3) in the ovarian follicles was examined 22 h and 3 h before F1 ovulation. Real-time polymerase chain reaction and western blot revealed differential mRNA and protein expression of MMP-2, MMP-9, TIMP-2, and TIMP-3 in the ovarian follicles: white, yellowish, small yellow, the largest preovulatory (F3-F1), and white atretic. Within the ovary, the relative expression of MMP and TIMP mRNA depended on follicle development, the layer of follicular wall, and ovulation stage. The relatively higher expression of MMP-2 and MMP-9 mRNA in the ovarian follicles 3 h compared to 22 h before ovulation was found. As follicle development progressed toward ovulation, elevated MMP-2 and -9 activity was noted. Atresia of white follicles was accompanied by an increase in gelatinase activities. Immunohistochemistry demonstrated tissue- and follicle-dependent immunoreactivity of the examined MMPs and TIMPs. In summary, the results show tissue- and stage of the ovulatory cycle-dependent differences in MMP and TIMP expression, as well as MMP-2 and -9 activity. Findings that suggest these molecules might significantly participate in the complex remodeling of extracellular matrix required for follicle development, ovulation, and atresia in the chicken ovary.
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Affiliation(s)
- Anna Hrabia
- Department of Animal Physiology and Endocrinology, University of Agriculture in Krakow, al. Mickiewicza 24/28, 30-059, Krakow, Poland.
| | - Dominika Wolak
- Department of Animal Physiology and Endocrinology, University of Agriculture in Krakow, al. Mickiewicza 24/28, 30-059, Krakow, Poland
| | - Maria Kwaśniewska
- Department of Animal Physiology and Endocrinology, University of Agriculture in Krakow, al. Mickiewicza 24/28, 30-059, Krakow, Poland
| | - Anna Kieronska
- Department of Animal Physiology and Endocrinology, University of Agriculture in Krakow, al. Mickiewicza 24/28, 30-059, Krakow, Poland
| | - Joanna K Socha
- Department of Animal Physiology and Endocrinology, University of Agriculture in Krakow, al. Mickiewicza 24/28, 30-059, Krakow, Poland
| | - Andrzej Sechman
- Department of Animal Physiology and Endocrinology, University of Agriculture in Krakow, al. Mickiewicza 24/28, 30-059, Krakow, Poland
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