Dr. Wangjun Wu is an Associate Professor at Nanjing Agricultural University, specializing in animal genetics, breeding, and reproduction. Born on October 14, 1983, he earned his PhD from Huazhong Agricultural University. His research focuses on genetic improvement in livestock, emphasizing muscle and fat development. Dr. Wu has contributed to the field through patents, machine-learning applications, and high-impact publications. His work integrates genomics, epigenetics, and breeding technologies. With a strong background in molecular biology and computational genetics, he has developed AI-driven solutions for livestock improvement. 📚🔬🐖
Profile
Experience 👨🏫Education 🎓
Dr. Wangjun Wu completed his undergraduate studies in Animal Science at Hunan University of Arts and Science (2002-2006). He pursued a PhD in Animal Genetics, Breeding, and Reproduction at Huazhong Agricultural University (2006-2011). His academic training provided expertise in molecular genetics, livestock breeding, and advanced genomic technologies. His doctoral research focused on improving economic traits in livestock using modern breeding techniques. 🎓🔬📖
Awards & Recognitions 🏅
Dr. Wangjun Wu has received multiple accolades for his research in animal genetics. His AI-driven livestock assessment tools and breeding innovations have gained recognition. He has secured national patents for advanced genetic analysis systems and has been featured in prestigious journals. His contributions in genomic research and AI applications in animal breeding have positioned him as a leader in the field. 🏅🔬📜
Research Interests 🔬
Dr. Wu’s research revolves around genetic improvement in livestock, particularly in muscle and fat development. His work includes gene expression analysis, functional genomics, and AI-driven breeding technologies. He specializes in non-invasive ultrasound and X-ray imaging for meat quality assessment. His integration of machine learning and molecular biology in animal science has led to significant advancements in livestock breeding and production. 🧬🐖💡
Publications
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Screening of key traits for indirect selection and prediction model construction of intramuscular fat content based on machine learning in live pigs
J., Wu, Jian, W., Yang, Wen, Z., Meng, Zi, C., Zha, Chengwan, W., Wu, Wangjun
Journal of Nanjing Agricultural University, 202
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Multiomics analysis reveals signatures of selection and loci associated with complex traits in pigs
L., Liu, Lei, G., Yi, Guoqiang, Y., Yao, Yilong, … M.A.M., A M Groenen, Martien A.M., Z., Tang, Zhonglin
iMeta, 2024
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A variant in long noncoding RNA NORSF affects granulosa cells response to transcription factor RFX7
M., Wang, Miaomiao, J., Zhang, Jiyu, W., Sheng, Wenmin, … X., Du, Xing, Q., Li, Qifa
Journal of Cellular Physiology, 2024
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Inhibitor of FTO, Rhein, Restrains the Differentiation of Myoblasts and Delays Skeletal Muscle Regeneration
R., Li, Rongyang, Y., Cao, Yan, W., Wu, Wangjun, H., Liu, Honglin, S., Xu, Shiyong
Animals, 2024
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Construction of a co-expression network affecting intramuscular fat content and meat color redness based on transcriptome analysis
B., Wang, Binbin, L., Hou, Liming, W., Yang, Wen, … Z., Xu, Ziwei, W., Wu, Wangjun
Frontiers in Genetics, 2024
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Functional SNPs in SYISL promoter significantly affect muscle fiber density and muscle traits in pigs
W., Lv, Wei, Y., Peng, Yaxin, J., Hu, Jingjing, … W., Wu, Wangjun, B., Zuo, Bo
Animal Genetics, 2024