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Peng W, Jiang C, Cai G, Liu L, Guo X, Gao X, Li G, Zheng Z, Liu P, Liu P. Preparation of polyclonal antibody against thrombospondin 2 recombinant protein and its functional verification in pulmonary hypertension syndrome in broilers. Int J Biol Macromol 2024; 274:133284. [PMID: 38906344 DOI: 10.1016/j.ijbiomac.2024.133284] [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: 04/26/2024] [Revised: 06/17/2024] [Accepted: 06/18/2024] [Indexed: 06/23/2024]
Abstract
Cell migration regulated by Thrombospondin 2 (THSB2) is important for the development of pulmonary artery remodeling, but the mechanism by which THBS2-mediated cell migration regulates the development of pulmonary artery remodeling in broiler ascites syndrome (AS) is unclear. In addition, the lack of chicken THBS2 antibodies makes it difficult to study the mechanism in depth. In our study, we used recombinant gene technology, protein purification, and other techniques to obtain mouse anti-chicken THBS2 antibody and analyze its expression in broilers, ascites broilers and other animals. The results showed that we immunized mouse with recombinant THBS2 protein and obtained an antibody titer of 1:204,800, and the addition of astragalus polysaccharide as an immunomodulator during immunization significantly increased the titer of the antibody. Western blotting (WB) and immunofluorescence results showed that the THBS2 was significantly down-regulated in the ascites broiler. The THBS2 antibody we prepared can also detect THBS2 protein in duck, mouse, goat, and rabbit tissues. These results provide a foundation for further investigation of the role of THBS2 in pulmonary artery remodeling in broiler ascites syndrome and a powerful tool for studying the role of THBS2 in AS.
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Affiliation(s)
- Wen Peng
- Jiangxi Provincial Key Laboratory for Animal Health, Institute of Animal Population Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, PR China
| | - Chenxi Jiang
- Jiangxi Provincial Key Laboratory for Animal Health, Institute of Animal Population Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, PR China
| | - Gaofeng Cai
- Jiangxi Provincial Key Laboratory for Animal Health, Institute of Animal Population Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, PR China
| | - Liling Liu
- Jiangxi Provincial Key Laboratory for Animal Health, Institute of Animal Population Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, PR China
| | - Xiaoquan Guo
- Jiangxi Provincial Key Laboratory for Animal Health, Institute of Animal Population Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, PR China
| | - Xiaona Gao
- Jiangxi Provincial Key Laboratory for Animal Health, Institute of Animal Population Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, PR China
| | - Guyue Li
- Jiangxi Provincial Key Laboratory for Animal Health, Institute of Animal Population Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, PR China
| | - Zhanhong Zheng
- Jiangxi Provincial Key Laboratory for Animal Health, Institute of Animal Population Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, PR China
| | - Pei Liu
- Jiangxi Provincial Key Laboratory for Animal Health, Institute of Animal Population Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, PR China
| | - Ping Liu
- Jiangxi Provincial Key Laboratory for Animal Health, Institute of Animal Population Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, PR China.
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Fang W, Wang E, Liu P, Gao X, Hou X, Hu G, Li G, Cheng J, Jiang C, Yan L, Wu C, Xu Z, Liu P. The relativity analysis of hypoxia inducible factor-1α in pulmonary arterial hypertension (ascites syndrome) in broilers: a review. Avian Pathol 2024:1-10. [PMID: 38887084 DOI: 10.1080/03079457.2024.2358882] [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: 12/27/2023] [Accepted: 05/17/2024] [Indexed: 06/20/2024]
Abstract
Ascites syndrome (AS) in broiler chickens, also known as pulmonary arterial hypertension (PAH), is a significant disease in the poultry industry. It is a nutritional metabolic disease that is closely associated with hypoxia-inducible factors and rapid growth. The rise in pulmonary artery pressure is a crucial characteristic of AS and is instrumental in its development. Hypoxia-inducible factor 1α (HIF-1α) is an active subunit of a key transcription factor in the oxygen-sensing pathway. HIF-1α plays a vital role in oxygen homeostasis and the development of pulmonary hypertension. Studying the effects of HIF-1α on pulmonary hypertension in humans or mammals, as well as ascites in broilers, can help us understand the pathogenesis of AS. Therefore, this review aims to (1) summarize the mechanism of HIF-1α in the development of pulmonary hypertension, (2) provide theoretical significance in explaining the mechanism of HIF-1α in the development of pulmonary arterial hypertension (ascites syndrome) in broilers, and (3) establish the correlation between HIF-1α and pulmonary arterial hypertension (ascites syndrome) in broilers. HIGHLIGHTSExplains the hypoxic mechanism of HIF-1α.Linking HIF-1α to pulmonary hypertension in broilers.Explains the role of microRNAs in pulmonary arterial hypertension in broilers.
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Affiliation(s)
- Weile Fang
- Jiangxi Provincial Key Laboratory for Animal Health, Institute of Animal Population Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, People's Republic of China
| | - Enqi Wang
- Jiangxi Provincial Key Laboratory for Animal Health, Institute of Animal Population Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, People's Republic of China
| | - Pei Liu
- Jiangxi Provincial Key Laboratory for Animal Health, Institute of Animal Population Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, People's Republic of China
| | - Xiaona Gao
- Jiangxi Provincial Key Laboratory for Animal Health, Institute of Animal Population Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, People's Republic of China
| | - Xiaolu Hou
- Guangxi Vocational University of Agriculture, Nanning, People's Republic of China
| | - Guoliang Hu
- Guangxi Vocational University of Agriculture, Nanning, People's Republic of China
| | - Guyue Li
- Jiangxi Provincial Key Laboratory for Animal Health, Institute of Animal Population Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, People's Republic of China
| | - Juan Cheng
- Jiangxi Provincial Key Laboratory for Animal Health, Institute of Animal Population Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, People's Republic of China
| | - Chenxi Jiang
- Jiangxi Provincial Key Laboratory for Animal Health, Institute of Animal Population Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, People's Republic of China
| | - Linjie Yan
- Jiangxi Provincial Key Laboratory for Animal Health, Institute of Animal Population Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, People's Republic of China
| | - Cong Wu
- Jiangxi Provincial Key Laboratory for Animal Health, Institute of Animal Population Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, People's Republic of China
| | - Zheng Xu
- Department of Mathematics and Statistics, Wright State University, Dayton, OH, USA
| | - Ping Liu
- Jiangxi Provincial Key Laboratory for Animal Health, Institute of Animal Population Health, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, People's Republic of China
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Guo J, Qu L, Shao D, Wang Q, Li Y, Dou T, Wang X, Hu Y, Tong H. Genetic Architecture of Abdominal Fat Deposition Revealed by a Genome-Wide Association Study in the Laying Chicken. Genes (Basel) 2023; 15:10. [PMID: 38275592 PMCID: PMC10815693 DOI: 10.3390/genes15010010] [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: 11/21/2023] [Revised: 12/16/2023] [Accepted: 12/18/2023] [Indexed: 01/27/2024] Open
Abstract
Fat has a high energy density, and excessive fatness has been recognized as a problem for egg production and the welfare of chickens. The identification of a genetic polymorphism controlling fat deposition would be helpful to select against excessive fatness in the laying hen. This study aimed to estimate genomic heritability and identify the genetic architecture of abdominal fat deposition in a population of chickens from a Dongxiang blue-shelled local breed crossbred with the White Leghorn. A genome-wide association study was conducted on abdominal fat percentage, egg production and body weights using a sample of 1534 hens genotyped with a 600 K Chicken Genotyping Array. The analysis yielded a heritability estimate of 0.19 ± 0.04 for abdominal fat percentage; 0.56 ± 0.04 for body weight at 72 weeks; 0.11 ± 0.03 for egg production; and 0.24 ± 0.04 for body weight gain. The genetic correlation of abdominal fat percentage with egg production between 60 and 72 weeks of age was -0.35 ± 0.18. This implies a potential trade-off between these two traits related to the allocation of resources. Strong positive genetic correlations were found between fat deposition and weight traits. A promising locus close to COL12A1 on chromosome 3, associated with abdominal fat percent, was found in the present study. Another region located around HTR2A on chromosome 1, where allele substitution was predicted to be associated with body weight gain, accounted for 2.9% of phenotypic variance. Another region located on chromosome 1, but close to SOX5, was associated with egg production. These results may be used to influence the balanced genetic selection for laying hens.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Haibing Tong
- Jiangsu Institute of Poultry Science, Yangzhou 225125, China; (J.G.)
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Changes in the Expression of MIF and Other Key Enzymes of Energy Metabolism in the Myocardia of Broiler Chickens with Ascites Syndrome. Animals (Basel) 2022; 12:ani12192488. [PMID: 36230229 PMCID: PMC9558964 DOI: 10.3390/ani12192488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 09/09/2022] [Accepted: 09/16/2022] [Indexed: 11/17/2022] Open
Abstract
Ascites syndrome (AS) is a metabolic disease observed mainly in fast-growing broilers. The heart is one of the most important target organs of the disease. The goal of this study was to evaluate the metabolic function of the right ventricles in clinical ascitic broilers. HE staining was performed to observe histopathological changes in the right ventricle of the heart, while Western blotting was used to detect the protein expression levels of macrophage migration inhibitory factor (MIF) and phosphorylated AMP-activated protein kinase (p-AMPK), as well as other key enzymes of energy metabolic pathways (i.e., glycolytic pathway: HK2, PFK1, PFK2, and PKM2; the tricarboxylic acid cycle (TCA cycle) pathway: OGDH, IDH2, and CS; and the fatty acid oxidation pathway: CPT-1A and ACC) in myocardial tissue. The histopathological examination of the myocardia of ascitic broilers revealed disoriented myocardial cells in the myofibril structure and a large number of blood cells deposited in the intermyofibrillar vessels, suggesting right heart failure in ascitic broilers. The Western blotting analysis demonstrated significantly increased levels of MIF and p-AMPK in the myocardia of ascitic broilers compared to those of the control group (p < 0.05). Additionally, the protein expression of key enzymes was dramatically increased in the glycolytic and fatty acid oxidation pathways, while the protein expression of key enzymes in the TCA cycle pathway was decreased in the ascitic broiler group. These findings suggest enhanced glycolysis and fatty acid oxidation metabolism, and a diminished TCA cycle, in the myocardia of broiler chickens with ascites syndrome.
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Hossain ME, Akter N. Further insights into the prevention of pulmonary hypertension syndrome (ascites) in broiler: a 65-year review. WORLD POULTRY SCI J 2022. [DOI: 10.1080/00439339.2022.2090305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Affiliation(s)
- Md. Emran Hossain
- Department of Animal Science and Nutrition, Faculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University, Zakir Hossain Road, Khulshi, Bangladesh
| | - Nasima Akter
- Department of Dairy and Poultry Science, Faculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University, Zakir Hossain Road, Khulshi, Bangladesh
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Abstract
This review covers the challenges of broiler chickens at high altitude, with the focus on growth performance and physiological response. The review also sheds light on nutritional and management interventions that help overcome the challenges raised at high altitude. Reduced concentration of atmospheric oxygen is by far the biggest challenge that remarkably affect growth performance and livability of broiler chickens reared in high altitude area. Broiler chickens have endured intensive genetic selection, which potentially predispose them to several metabolic disorders. Hypoxia is an overriding factor that may increase the incidence of metabolic disorders, mainly ascites syndrome at high altitude. Commercial broiler strains cannot fully achieve their genetic potential when raising at highland regions. Careful nutrition and management considerations are required to prevent metabolic disorders when raising broilers at high altitude. In ovo or in‐feed nutraceuticals such as l‐carnitine and guanidinoacetic acid as well as pharmaceuticals, texture of feed and the use of proper sources and levels of dietary energy and protein are important factors that need to be carefully considered for rearing broiler chickens at high altitude. Management strategies such as lighting programs have been shown to be effective to circumvent ascites prevalence. Special breeding programs may also be considered to develop strains with resistance to ascites.
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Affiliation(s)
- Fariborz Khajali
- Department of Animal Science, Faculty of Agriculture, Shahrekord University, Shahrekord, Iran
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Lee KP, Anthony NB, Orlowski SK, Rhoads DD. SNP-based breeding for broiler resistance to ascites and evaluation of correlated production traits. Hereditas 2022; 159:9. [PMID: 35090566 PMCID: PMC8796538 DOI: 10.1186/s41065-022-00228-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 01/13/2022] [Indexed: 01/12/2023] Open
Abstract
Abstract
Background
The goal of this study was to evaluate marker-assisted selection (MAS) in broiler chickens using previously mapped gene regions associated with ascites syndrome incidence. The second-generation MAS products were assessed for impact on ascites phenotype and whether there were associated changes in important production traits. Previously, we used whole genome resequencing (WGR) to fine-map 28 chromosomal regions as associated with ascites phenotype in our experimental ascites broiler line (Relaxed, REL) based on a hypobaric chamber challenge. Genotypes for single nucleotide polymorphisms (SNPs) in mapped regions on chromosomes 2 and 22, were used for MAS in our REL line. After two generations, birds homozygous for the genotypes associated with resistance for both chromosomal regions were established. The MAS F2 generation was then compared to the REL line for ascites susceptibility and 25 production traits.
Results
Selection based on SNPs in the carboxypeptidase Q (CPQ, Gga2) and leucine rich repeat transmembrane neuronal 4 (LRRTM4, Gga22) gene regions resulted in a sex- and simulated altitude- dependent reduction of ascites incidence in two F2 cohorts of the MAS line. Comparisons of the F2 MAS and REL lines for production traits when reared at ambient pressure found no significant negative impacts for feed intake (FI), feed conversion ratio (FCR), or deboned part yields for either sex for two F2 cohorts. There were, however, improvements in the MAS for full-trial body weight gain (BWG), FCR, absolute and relative tender weights, and relative drumstick weight.
Conclusions
These results validate the mapping of the 28 chromosomal regions and demonstrate that fine mapping by WGR is an effective strategy for addressing a complex trait; it also stands as the first successful SNP-based selection program against a complex disease trait, such as ascites. The MAS line is comparable and, in some instances, superior, in growth performance to the REL control while being more resistant to ascites. This study indicates that MAS based on WGR can provide significant breeding potential in agricultural systems.
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Qiu M, Yang C, Du H, Li Q, Zhang Z, Xiong X, Yu C, Song X, Hu C, Xia B, Yang L, Peng H, Liu L, Jiang X. Whole-genome resequencing reveals aberrant autosomal SNPs affect chicken feathering rate. Anim Biotechnol 2020; 33:884-896. [PMID: 33342337 DOI: 10.1080/10495398.2020.1846545] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Previous studies have shown that the feather growth rate of chicks is determined by two alleles located on the sex chromosome Z; however, in chicken production, feathering is usually not consistently controlled by the sex chromosome. To identify whether the feathering rate is related to autosomal inheritance, whole-genome resequencing was performed in eight chickens with slow- and fast-feathering rate. A total of 54,984 autosomal single nucleotide polymorphisms (SNPs) were identified, including 393 and 376 exonic SNPs in slow-feathering and fast-feathering chickens, respectively. Mutated genes were mainly involved in response to stimuli and growth and reproduction processes. Mutated genes related to slow-feathering rate were mainly involved in wingless-type MMTV integration site signaling pathway and mitogen-activated protein kinase signaling pathway, whereas mutated genes associated with fast-feathering rate were primarily enriched in autophagy, calcium signaling pathway, extracellular matrix-receptor interaction, and Focal adhesion processes. Importantly, two SNPs, involved in feather development, were found in the exonic regions of Wnt signaling genes. These results shed new light on the relationship between genetic mutation and feather growth rate from the perspective of autosomal inheritance and may have economic significance in chicken breeding.
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Affiliation(s)
- Mohan Qiu
- Sichuan Animal Science Academy, Chengdu, Sichuan, China.,Animal Breeding and Genetics Key Laboratory of Sichuan Province, Chengdu, Sichuan, China
| | - Chaowu Yang
- Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Huarui Du
- Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Qingyun Li
- Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Zengrong Zhang
- Sichuan Animal Science Academy, Chengdu, Sichuan, China.,Animal Breeding and Genetics Key Laboratory of Sichuan Province, Chengdu, Sichuan, China
| | - Xia Xiong
- Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Chunlin Yu
- Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Xiaoyan Song
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Chengdu, Sichuan, China
| | - Chenming Hu
- Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Bo Xia
- Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Li Yang
- Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Han Peng
- Animal Breeding and Genetics Key Laboratory of Sichuan Province, Chengdu, Sichuan, China
| | - Lan Liu
- Sichuan Animal Science Academy, Chengdu, Sichuan, China
| | - Xiaosong Jiang
- Sichuan Animal Science Academy, Chengdu, Sichuan, China.,Animal Breeding and Genetics Key Laboratory of Sichuan Province, Chengdu, Sichuan, China
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