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Ma Z, Wang W, Zhang D, Wang X, Li S, Zhao L, Zhang Y, Zhao Y, Li X, Lin C, Wang J, Cheng J, Xu D, Yang X, Huang Y, Cui P, Liu J, Zeng X, Zhai R, Huang Z, Weng X, Zhang X. Polymorphism in IGFALS gene and its association with scrotal circumference in Hu lambs. Anim Biotechnol 2024; 35:2295928. [PMID: 38174897 DOI: 10.1080/10495398.2023.2295928] [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: 01/05/2024]
Abstract
Scrotal circumference is an important reproductive index of breeding rams, which has a high genetic correlation with ejaculation volume and semen quality. In this study, the scrotal circumference of 1353 male Hu sheep at different stages of development was measured and descriptive statistical analysis was performed. The results showed that the coefficient of variation of scrotal circumference at each stage was greater than 10%, and its heritability were moderately to high, ranging from 0.318 to 0.719. We used PCR amplification and Sanger sequencing to scan the polymorphisms of the IGFALS gene, and performed association analysis with the circumference of the scrotum at different stages. We identified a synonymous mutation g.918 G > C in exon 1 of the IGFALS gene, and this mutation was significantly associated with scrotal circumference at 100, 120, 140, 160 and 180 days (p < 0.05). Therefore, IGFALS gene polymorphism can be used as a molecular marker affecting scrotal circumference of Hu sheep, which can provide a reference for future molecular marker-assisted selection of scrotal circumference in sheep.
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Affiliation(s)
- Zongwu Ma
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Weimin Wang
- The State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, China
| | - Deyin Zhang
- The State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, China
| | - Xinji Wang
- Minqin County Animal Husbandry and Veterinary Workstation, Minqin, Gansu, China
| | - Shirong Li
- Minqin County Animal Husbandry and Veterinary Workstation, Minqin, Gansu, China
| | - Liming Zhao
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Yukun Zhang
- The State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, China
| | - Yuan Zhao
- The State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, China
| | - Xiaolong Li
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Changchun Lin
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Jianghui Wang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Jiangbo Cheng
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Dan Xu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Xiaobin Yang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Yongliang Huang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Panpan Cui
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Jia Liu
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Xiwen Zeng
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Rui Zhai
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Zhiqiang Huang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
| | - Xiuxiu Weng
- The State Key Laboratory of Grassland Agro-Ecosystems, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou, Gansu, China
| | - Xiaoxue Zhang
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, Gansu, China
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Li W, Wu X, Xiang D, Zhang W, Wu L, Meng X, Huo J, Yin Z, Fu G, Zhao G. Genome-Wide Detection for Runs of Homozygosity in Baoshan Pigs Using Whole Genome Resequencing. Genes (Basel) 2024; 15:233. [PMID: 38397222 PMCID: PMC10887577 DOI: 10.3390/genes15020233] [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: 01/16/2024] [Revised: 02/08/2024] [Accepted: 02/09/2024] [Indexed: 02/25/2024] Open
Abstract
Baoshan pigs (BS) are a local breed in Yunnan Province that may face inbreeding owing to its limited population size. To accurately evaluate the inbreeding level of the BS pig population, we used whole-genome resequencing to identify runs of homozygosity (ROH) regions in BS pigs, calculated the inbreeding coefficient based on pedigree and ROH, and screened candidate genes with important economic traits from ROH islands. A total of 22,633,391 SNPS were obtained from the whole genome of BS pigs, and 201 ROHs were detected from 532,450 SNPS after quality control. The number of medium-length ROH (1-5 Mb) was the highest (98.43%), the number of long ROH (>5 Mb) was the lowest (1.57%), and the inbreeding of BS pigs mainly occurred in distant generations. The inbreeding coefficient FROH, calculated based on ROH, was 0.018 ± 0.016, and the FPED, calculated based on the pedigree, was 0.027 ± 0.028, which were positively correlated. Forty ROH islands were identified, containing 507 genes and 891 QTLs. Several genes were associated with growth and development (IGFALS, PTN, DLX5, DKK1, WNT2), meat quality traits (MC3R, ACSM3, ECI1, CD36, ROCK1, CACNA2D1), and reproductive traits (NPW, TSHR, BMP7). This study provides a reference for the protection and utilization of BS pigs.
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Affiliation(s)
- Wenjun Li
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (W.L.); (L.W.); (X.M.); (J.H.); (G.F.)
| | - Xudong Wu
- Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei 230036, China; (X.W.); (W.Z.)
| | - Decai Xiang
- Institute of Pig and Animal Research, Yunnan Academy of Animal Husbandry and Veterinary Science, Kunming 650201, China;
| | - Wei Zhang
- Institute of Animal Husbandry and Veterinary Medicine, Anhui Academy of Agricultural Sciences, Hefei 230036, China; (X.W.); (W.Z.)
| | - Lingxiang Wu
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (W.L.); (L.W.); (X.M.); (J.H.); (G.F.)
| | - Xintong Meng
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (W.L.); (L.W.); (X.M.); (J.H.); (G.F.)
| | - Jinlong Huo
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (W.L.); (L.W.); (X.M.); (J.H.); (G.F.)
| | - Zongjun Yin
- College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China;
| | - Guowen Fu
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (W.L.); (L.W.); (X.M.); (J.H.); (G.F.)
| | - Guiying Zhao
- College of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (W.L.); (L.W.); (X.M.); (J.H.); (G.F.)
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Huang J, Yu J, Wang J, Liu J, Xie W, Li R, Wang C. Novel potential biomarkers for severe alcoholic liver disease. Front Immunol 2022; 13:1051353. [PMID: 36582223 PMCID: PMC9794087 DOI: 10.3389/fimmu.2022.1051353] [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: 09/22/2022] [Accepted: 11/14/2022] [Indexed: 12/15/2022] Open
Abstract
Background Alcoholic liver disease (ALD) is a leading cause of advanced liver disease; however, minor clinical symptoms in the early stage frequently result in delayed diagnosis and therapy. Invasive liver biopsy, the gold standard for diagnosing ALD, is unsuitable for repetitive analysis. This study aims to identify potential serum biomarkers that could contribute to non-invasive disease screening and monitoring. Methods Label-free LC-MS/MS quantitative proteomics analysis was performed to identify differentially expressed proteins in the discovery cohort, followed by bioinformatics analysis based on the KEGG, GO, and String databases. Prioritized proteins were validated subsequently by quantitative assays. The area under the receiver operating characteristic curve (AUROC) was used to assess the diagnosis performance of potential biomarkers. Results A total of 161 differentially expressed proteins were identified in the discovery cohort, of which 123 were up-regulated and 38 were down-regulated. B2M, IGFALS, and IGFBP3 were evaluated, and all demonstrated excellent diagnosis performance with AUROCs of over 0.9 when distinguishing patients with severe ALD from healthy controls. The AUROC values of B2M, IGFBP3, and IGFALS were 0.7131, 0.8877, and 0.9896 for differentiating severe ALD from non-severe ALD to indicate disease severity. B2M could distinguish patients with non-severe ALD and HC participants with an AUROC value of 0.8985. The efficiency of multiple combinations of these biomarkers was superior to that of the existing liver fibrosis evaluation indices used to monitor disease progression, with AUROC values of over 0.9. IGFALS showed a positive correlation with ALT/AST (r=0.4648, P=0.0009) and may be developed as a therapeutic target. Conclusion This proteomic study identified three novel candidate proteins as promising circulating biomarkers for clinical diagnosis and disease progression and also provided the proteomic atlas for ALD pathophysiological mechanisms.
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Affiliation(s)
- Jia Huang
- Medical School of Chinese PLA, Beijing, China,Department of Laboratory Medicine, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Jiachi Yu
- Medical School of Chinese PLA, Beijing, China,Department of Laboratory Medicine, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Jianan Wang
- Department of Laboratory Medicine, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Jiayu Liu
- Department of Laboratory Medicine, The First Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Wei Xie
- Medical School of Chinese PLA, Beijing, China
| | - Ruibing Li
- Medical School of Chinese PLA, Beijing, China,Department of Laboratory Medicine, The First Medical Center of Chinese PLA General Hospital, Beijing, China,*Correspondence: Chengbin Wang, ; Ruibing Li,
| | - Chengbin Wang
- Medical School of Chinese PLA, Beijing, China,Department of Laboratory Medicine, The First Medical Center of Chinese PLA General Hospital, Beijing, China,*Correspondence: Chengbin Wang, ; Ruibing Li,
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