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228 results on '"Su, Guosheng"'

5. A compendium of genetic regulatory effects across pig tissues.

Author

Teng, Jinyan, Gao, Yahui, Yin, Hongwei, Bai, Zhonghao, Liu, Shuli, Zeng, Haonan, Bai, Lijing, Cai, Zexi, Zhao, Bingru, Li, Xiujin, Xu, Zhiting, Lin, Qing, Pan, Zhangyuan, Yang, Wenjing, Yu, Xiaoshan, Guan, Dailu, Hou, Yali, Keel, Brittney, Rohrer, Gary, Lindholm-Perry, Amanda, Oliver, William, Ballester, Maria, Crespo-Piazuelo, Daniel, Quintanilla, Raquel, Canela-Xandri, Oriol, Rawlik, Konrad, Xia, Charley, Yao, Yuelin, Zhao, Qianyi, Yao, Wenye, Yang, Liu, Li, Houcheng, Zhang, Huicong, Liao, Wang, Chen, Tianshuo, Karlskov-Mortensen, Peter, Fredholm, Merete, Amills, Marcel, Clop, Alex, Giuffra, Elisabetta, Wu, Jun, Cai, Xiaodian, Diao, Shuqi, Pan, Xiangchun, Wei, Chen, Li, Jinghui, Cheng, Hao, Wang, Sheng, Su, Guosheng, Sahana, Goutam, Lund, Mogens, Dekkers, Jack, Kramer, Luke, Tuggle, Christopher, Corbett, Ryan, Groenen, Martien, Madsen, Ole, Gòdia, Marta, Rocha, Dominique, Charles, Mathieu, Li, Cong-Jun, Pausch, Hubert, Hu, Xiaoxiang, Frantz, Laurent, Luo, Yonglun, Lin, Lin, Zhou, Zhongyin, Zhang, Zhe, Chen, Zitao, Cui, Leilei, Xiang, Ruidong, Shen, Xia, Li, Pinghua, Huang, Ruihua, Tang, Guoqing, Li, Mingzhou, Zhao, Yunxiang, Yi, Guoqiang, Tang, Zhonglin, Jiang, Jicai, Zhao, Fuping, Yuan, Xiaolong, Liu, Xiaohong, Chen, Yaosheng, Xu, Xuewen, Zhao, Shuhong, Zhao, Pengju, Haley, Chris, Zhou, Huaijun, Wang, Qishan, Pan, Yuchun, Ding, Xiangdong, Ma, Li, Li, Jiaqi, Navarro, Pau, Zhang, Qin, Li, Bingjie, Tenesa, Albert, Li, Kui, and Liu, George

Subjects
Swine, Animals, Humans, Gene Expression Regulation, Genotype, Phenotype, Sequence Analysis, RNA, Gene Expression Profiling
Abstract

The Farm Animal Genotype-Tissue Expression (FarmGTEx) project has been established to develop a public resource of genetic regulatory variants in livestock, which is essential for linking genetic polymorphisms to variation in phenotypes, helping fundamental biological discovery and exploitation in animal breeding and human biomedicine. Here we show results from the pilot phase of PigGTEx by processing 5,457 RNA-sequencing and 1,602 whole-genome sequencing samples passing quality control from pigs. We build a pig genotype imputation panel and associate millions of genetic variants with five types of transcriptomic phenotypes in 34 tissues. We evaluate tissue specificity of regulatory effects and elucidate molecular mechanisms of their action using multi-omics data. Leveraging this resource, we decipher regulatory mechanisms underlying 207 pig complex phenotypes and demonstrate the similarity of pigs to humans in gene expression and the genetic regulation behind complex phenotypes, supporting the importance of pigs as a human biomedical model.

Published
2024

16. Pig genome functional annotation enhances the biological interpretation of complex traits and human disease.

Author

Pan, Zhangyuan, Yao, Yuelin, Yin, Hongwei, Cai, Zexi, Wang, Ying, Bai, Lijing, Kern, Colin, Halstead, Michelle, Chanthavixay, Ganrea, Trakooljul, Nares, Wimmers, Klaus, Sahana, Goutam, Su, Guosheng, Lund, Mogens Sandø, Fredholm, Merete, Karlskov-Mortensen, Peter, Ernst, Catherine W, Ross, Pablo, Tuggle, Christopher K, Fang, Lingzhao, and Zhou, Huaijun

Subjects
Human Genome, Biotechnology, Genetics, 1.1 Normal biological development and functioning, 1.5 Resources and infrastructure (underpinning), Generic health relevance
Abstract

The functional annotation of livestock genomes is crucial for understanding the molecular mechanisms that underpin complex traits of economic importance, adaptive evolution and comparative genomics. Here, we provide the most comprehensive catalogue to date of regulatory elements in the pig (Sus scrofa) by integrating 223 epigenomic and transcriptomic data sets, representing 14 biologically important tissues. We systematically describe the dynamic epigenetic landscape across tissues by functionally annotating 15 different chromatin states and defining their tissue-specific regulatory activities. We demonstrate that genomic variants associated with complex traits and adaptive evolution in pig are significantly enriched in active promoters and enhancers. Furthermore, we reveal distinct tissue-specific regulatory selection between Asian and European pig domestication processes. Compared with human and mouse epigenomes, we show that porcine regulatory elements are more conserved in DNA sequence, under both rapid and slow evolution, than those under neutral evolution across pig, mouse, and human. Finally, we provide biological insights on tissue-specific regulatory conservation, and by integrating 47 human genome-wide association studies, we demonstrate that, depending on the traits, mouse or pig might be more appropriate biomedical models for different complex traits and diseases.

Published
2021

40. A compendium of genetic regulatory effects across pig tissues

Author

National Natural Science Foundation of China, National Key Research and Development Program (China), Guangdong Province, National Supercomputer Center in Guangzhou, Earmarked Fund for China Agriculture Research System, Health Data Research UK, European Commission, Department of Agriculture (US), National Institute of Food and Agriculture (US), Agricultural Research Service (US), Medical Research Council (UK), Australian Research Council, Ballester, María [0000-0002-5413-4640], Crespo-Piazuelo, Daniel [0000-0001-7896-2507], Gòdia, Marta [0000-0002-0439-4014], Teng, Jinyan, Gao, Yahui, Yin, Hongwei, Bai, Zhonghao, Liu, Shuli, Zeng, Haonan, Bai, Lijing, Cai, Zexi, Zhao, Bingru, Li, Xiujin, Xu, Zhiting, Lin, Qing, Pan, Zhangyuan, Yang, Wenjing, Yu, Xiaoshan, Guan, Dailu, Hou, Yali, Keel, Brittney N., Rohrer, Gary A., Lindholm-Perry, Amanda K., Oliver, William T., Ballester, María, Crespo-Piazuelo, Daniel, Quintanilla, Raquel, Canela-Xandri, Oriol, Rawlik, Konrad, Xia, Charley, Yao, Yuelin, Zhao, Qianyi, Yao, Wenye, Yang, Liu, Li, Houcheng, Zhang, Huicong, Liao, Wang, Chen, Tianshuo, Karlskov-Mortensen, Peter, Fredholm, Merete, Amills, Marcel, Clop, Alex, Giuffra, Elisabetta, Wu, Jun, Cai, Xiaodian, Diao, Shuqi, Pan, Xiangchun, Wei, Chen, Li, Jinghui, Cheng, Hao, Wang, Sheng, Su, Guosheng, Sahana, Goutam, Lund, Mogens Sandø, Dekkers, Jack C. M., Kramer, Luke, Tuggle, Christopher K., Corbett, Ryan, Groenen, Martien A. M., Madsen, Ole, Gòdia, Marta, Rocha, Dominique, Charles, Mathieu, Li, Cong-Jun, Pausch, Hubert, Hu, Xiaoxiang, Frantz, Laurent, Luo, Yonglun, Lin, Lin, Zhou, Zhongyin, Zhang, Zhe, Chen, Zitao, Cui, Leilei, Xiang, Ruidong, Shen, Xia, Li, Pinghua, Huang, Ruihua, Tang, Guoqing, Li, Mingzhou, Zhao, Yunxiang, Yi, Guoqiang, Tang, Zhonglin, Jiang, Jicai, Zhao, Fuping, Yuan, Xiaolong, Liu, Xiaohong, Chen, Yaosheng, Xu, Xuewen, Zhao, Shuhong, Zhao, Pengju, Haley, Chris, Zhou, Huaijun, Wang, Qishan, Pan, Yuchun, Ding, Xiangdong, Ma, Li, Li, Jiaqi, Navarro, Pau, Zhang, Qin, Li, Bingjie, Tenesa, Albert, Li, Kui, Liu, George E., Fang, Lingzhao, National Natural Science Foundation of China, National Key Research and Development Program (China), Guangdong Province, National Supercomputer Center in Guangzhou, Earmarked Fund for China Agriculture Research System, Health Data Research UK, European Commission, Department of Agriculture (US), National Institute of Food and Agriculture (US), Agricultural Research Service (US), Medical Research Council (UK), Australian Research Council, Ballester, María [0000-0002-5413-4640], Crespo-Piazuelo, Daniel [0000-0001-7896-2507], Gòdia, Marta [0000-0002-0439-4014], Teng, Jinyan, Gao, Yahui, Yin, Hongwei, Bai, Zhonghao, Liu, Shuli, Zeng, Haonan, Bai, Lijing, Cai, Zexi, Zhao, Bingru, Li, Xiujin, Xu, Zhiting, Lin, Qing, Pan, Zhangyuan, Yang, Wenjing, Yu, Xiaoshan, Guan, Dailu, Hou, Yali, Keel, Brittney N., Rohrer, Gary A., Lindholm-Perry, Amanda K., Oliver, William T., Ballester, María, Crespo-Piazuelo, Daniel, Quintanilla, Raquel, Canela-Xandri, Oriol, Rawlik, Konrad, Xia, Charley, Yao, Yuelin, Zhao, Qianyi, Yao, Wenye, Yang, Liu, Li, Houcheng, Zhang, Huicong, Liao, Wang, Chen, Tianshuo, Karlskov-Mortensen, Peter, Fredholm, Merete, Amills, Marcel, Clop, Alex, Giuffra, Elisabetta, Wu, Jun, Cai, Xiaodian, Diao, Shuqi, Pan, Xiangchun, Wei, Chen, Li, Jinghui, Cheng, Hao, Wang, Sheng, Su, Guosheng, Sahana, Goutam, Lund, Mogens Sandø, Dekkers, Jack C. M., Kramer, Luke, Tuggle, Christopher K., Corbett, Ryan, Groenen, Martien A. M., Madsen, Ole, Gòdia, Marta, Rocha, Dominique, Charles, Mathieu, Li, Cong-Jun, Pausch, Hubert, Hu, Xiaoxiang, Frantz, Laurent, Luo, Yonglun, Lin, Lin, Zhou, Zhongyin, Zhang, Zhe, Chen, Zitao, Cui, Leilei, Xiang, Ruidong, Shen, Xia, Li, Pinghua, Huang, Ruihua, Tang, Guoqing, Li, Mingzhou, Zhao, Yunxiang, Yi, Guoqiang, Tang, Zhonglin, Jiang, Jicai, Zhao, Fuping, Yuan, Xiaolong, Liu, Xiaohong, Chen, Yaosheng, Xu, Xuewen, Zhao, Shuhong, Zhao, Pengju, Haley, Chris, Zhou, Huaijun, Wang, Qishan, Pan, Yuchun, Ding, Xiangdong, Ma, Li, Li, Jiaqi, Navarro, Pau, Zhang, Qin, Li, Bingjie, Tenesa, Albert, Li, Kui, Liu, George E., and Fang, Lingzhao

Abstract

The Farm Animal Genotype-Tissue Expression (FarmGTEx) project has been established to develop a public resource of genetic regulatory variants in livestock, which is essential for linking genetic polymorphisms to variation in phenotypes, helping fundamental biological discovery and exploitation in animal breeding and human biomedicine. Here we show results from the pilot phase of PigGTEx by processing 5,457 RNA-sequencing and 1,602 whole-genome sequencing samples passing quality control from pigs. We build a pig genotype imputation panel and associate millions of genetic variants with five types of transcriptomic phenotypes in 34 tissues. We evaluate tissue specificity of regulatory effects and elucidate molecular mechanisms of their action using multi-omics data. Leveraging this resource, we decipher regulatory mechanisms underlying 207 pig complex phenotypes and demonstrate the similarity of pigs to humans in gene expression and the genetic regulation behind complex phenotypes, supporting the importance of pigs as a human biomedical model.

Published
2024

45. Comparison of Heat Source Model for Numerical Modeling of Selective Laser Melting of IN625 Superalloy.

Author

LI Binxun, SUN Yujing, DU Jin, XIA Yan, SU Guosheng, and ZHANG Qing

Subjects
HEAT resistant alloys, MELTING, THREE-dimensional printing, MANUFACTURING processes, COMPUTER software
Abstract

Copyright of Transactions of Nanjing University of Aeronautics & Astronautics is the property of Editorial Department of Journal of Nanjing University of Aeronautics & Astronautics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2024
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50. Genetic Parameters of Semen Traits and Their Correlations with Conformation Traits in Chinese Holstein Bulls.

Author

Wang, Xiao, Yang, Jian, Xue, Jie, Zhang, Miao, Zhang, Fan, Wang, Kun, Li, Yanqin, Zhang, Yuanpei, Wu, Xiaoping, Wang, Feng, Zhao, Xiuxin, Ni, Junqing, Ma, Yabin, Li, Rongling, Wang, Lingling, Su, Guosheng, Gao, Yundong, and Li, Jianbin

Subjects
GENETIC correlations, SEMEN, SEMEN analysis, BULLS, PRODUCTION quantity, DAIRY cattle
Abstract

The elite bull plays an extremely important role in the genetic progression of the dairy cow population. The previous results indicated the potential positive relationship of large scrotal circumference (SC) with improved semen volume, concentration, and motility. In order to improve bull's semen quantity and quality by selection, it is necessary to estimate the genetic parameters of semen traits and their correlations with other conformation traits such as SC that could be used for an indirect selection. In this study, the genetic parameters of seven semen traits (n = 66,260) and nine conformation traits (n = 3,642) of Holstein bulls (n = 453) were estimated by using the bivariate repeatability animal model with the average information-restricted maximum likelihood (AI-REML) approach. The results showed that the estimated heritabilities of semen traits ranged from 0.06 (total number of motile sperm, TNMS) to 0.37 (percentage of abnormal sperm, PAS) and conformation traits ranged from 0.23 (pin width, PW) to 0.69 (hip height, HH). The highest genetic correlations were found between semen volume per ejaculation (SVPE), semen concentration per ejaculation (SCPE), total number of sperm (TNS), and TNMS traits that were 0.97, 0.98, 1.00, and 0.99, respectively. Phenotypic correlations between SC and SVPE, SCPE, TNS, and TNMS were 0.35, 0.35, 0.48, and 0.42, respectively. In summary, the moderate or high heritability of semen traits indicates that genetic improvement of semen quality by selection is feasible, where SC could be a useful trait for indirect selection or as correlated information to improve semen quantity and production in the practical bull breeding programs. [ABSTRACT FROM AUTHOR]

Published
2024
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