姓名:白雪
职称:讲师
学位:博士
所在系:动物遗传育种与繁殖
研究方向:数量基因组学暨性状遗传机理,生物信息学
办公电话:15247108656
电子邮箱:xuebai@neau.edu.cn
个人简介
1.教育状况
2010.09-2014.06:辽宁医学院动物科学专业,学士
2014.09-2019.06:内蒙古农业大学动物遗传育种与繁殖专业,博士研究生
2.工作经历
2019.09- :东北农业大学动科院,讲师
3.著作论文
1.Su Zhiyong#,Bai Xue#, Wang H, Wang S, Chen C, Xiao F, Guo H, Gao H, Leng L, Li Hui*. Identification of biomarkers associated with the feed efficiency by metabolomics profiling: results from the broiler lines divergent for high or low abdominal fat content. Journal of Animal Science and Biotechnology. 2022 Nov 10;13(1):122
2.Tarekegn G M, Ji X Y,Bai Xue, et al. Variations in mitochondrial cytochrome b region among Ethiopian indigenous cattle populations assert Bos taurus maternal origin and historical dynamics[J]. Asian Australasian Journal of Animal Sciences, 2018.
3.Gong H, Wang H, Wang Y X,Bai Xue, et al. Skin transcriptome reveals the dynamic changes in the Wnt pathway during integument morphogenesis of chick embryos[J]. PLoS ONE, 2018, 13(1):e0190933.
4.Bai Xue,Zheng Z, Liu B, et al. Whole blood transcriptional profiling comparison between different milk yield of Chinese Holstein cows using RNA-seq data[J]. Bmc Genomics, 2016, 17:512
5.Xiao-Yang J, Jian-Xun W, Bin L,Xue Bai, et al. Comparative Transcriptome Analysis Reveals that a Ubiquitin-Mediated Proteolysis Pathway Is Important for Primary and Secondary Hair Follicle Development in Cashmere Goats[J]. PLOS ONE, 2016, 11(10):e0156124-.
6.Bai Xue, Zhang W, et al. Whole blood transcriptional profiles analysis of Chinese Holstein cows reveals immune response is prominent for milk yield traits using RNA-seq.第十八次全国动物遗传育种学术讨论会论文集.
7.Bai Xue, Zhang W, et al. Identification lncRNAs in bovine whole blood reveals immune response for milk production traits using RNA-seq.第十九次全国动物遗传育种学术讨论会论文集.
4.在研课题
1. 国家自然科学基金青年基金项目“基于代谢组学的肉鸡腹脂重要代谢标志物的研究”30万,2022.01 - 2024.12,主持
2. 黑龙江省博士后面上项目“鸡胚胎期肝脏脂类代谢关键lncRNA的筛选及功能分析”5万元,2020.01-2022.12,主持
3. 东北农业大学青年才俊项目“长链非编码RNA对鸡脂肪沉积的调节作用及其机制”6万元,2020.01-2022.06,主持
4.国家重点研发计划青年科学家课题“肉鸡产蛋性能抗逆性形成机制及遗传解析”70万,2022.12-2027.11,主持。
教学工作
本科生课程: 生物统计学、 生物统计与试验设计实验课
科技奖励与其他