华中农业大学信息学院教授，作物遗传改良全国重点实验室固定研究人员（2010-），国家自然科学基金优秀青年科学基金获得者（2019），湖北省创新群体项目主持人（2023），入选中国科协“青年人才托举工程”（2016），获校研究生指导教师“教书育人奖”（2020）。研究领域为系统遗传学、计算基因组学和人工智能生物学，主要从事作物优异基因挖掘和功能解析的方法学及育种技术创新研究。开发了多项挖掘作物优异基因的新方法，系统鉴定了水稻育种过程中受选择的基因组位点，首次在水稻中开展了“非必需基因组”研究，为进一步挖掘利用作物优异遗传变异提供了重要靶点和新途径。发布了水稻基因组序列变异的功能效应图谱RiceVarMap和植物中首个基于深度学习模型预测基因组序列变异调控效应的网络服务PlantDeepSEA，作为主要设计人员合作开发了全球第一款水稻育种芯片和后续多款育种芯片，被《光明日报》评为2012年度“十大科技瞬间”，获得发明专利5项，为进一步研究与利用作物种质资源提供了新的平台和工具。主持国家自然科学基金5项，国家科技创新2030课题、国家重点研发计划课题和国家863计划专项子课题等10余项。发表科学研究论文90余篇，被引用超过8900次，H-index为47。相关研究被Nature Plants、Genome Biology等杂志列为研究亮点，入选ESI Top 1%高被引论文和Top 1‰热点论文。
     课题组既有数据分析为主的课题，也有与湿实验结合的课题，欢迎生物、数学、物理和计算机相关专业的青年朋友加入（作为硕博生、博士后和科研助理）。

完整文章列表及引用情况请访问：

ORCID http://orcid.org/0000-0002-2768-3572

Google scholar http://scholar.google.com/citations?user=I5zjYOUAAAAJ

代表性论文:

1. Ming L#, Fu D#, Wu Z, Zhao H, Xu X, Xu T, Xiong X, Li M, Zheng Y, Li G, Yang L, Xia C, Zhou R, Liao K, Yu Q, Chai W, Li S, Liu Y, Wu X, Mao J, Wei J, Li X, Wang L, Wu C*, Xie W*. Transcriptome-wide association analyses reveal the impact of regulatory variants on rice panicle architecture and causal gene regulatory networks. Nat Commun, 2023, 14: 7501
   

2. Tan Z, Peng Y, Xiong Y, Xiong F, Zhang Y, Guo N, Tu Z, Zong Z, Wu X, Ye J, Xia C, Zhu T, Liu Y, Lou H, Liu D, Lu S, Yao X, Liu K, Snowdon RJ, Golicz AA, Xie W*, Guo L*, Zhao H*. Comprehensive transcriptional variability analysis reveals gene networks regulating seed oil content of Brassica napus. Genome Biol, 2022, 23: 233

3. Wang P#, Qi F#, Yao H#, Xu X, Li W, Meng J, Zhang Q, Xie W*, Xing Y*. Fixation of hybrid sterility genes and favorable alleles of key yield-related genes with dominance contribute to the high yield of the Yongyou series of intersubspecific hybrid rice. J Genet Genomics, 2022, 49: 448-457
   

4. Yu H, Li M, Sandhu J, Sun G, Schnable JC, Walia H, Xie W*, Yu B*, Mower JP*, Zhang C*. Pervasive misannotation of microexons that are evolutionarily conserved and crucial for gene function in plants. Nat Commun, 2022, 13: 820

5. Zhao H, Li J, Yang L, Qin G, Xia C, Xu X, Su Y, Liu Y, Ming L, Chen L, Xiong L and Xie W*. An inferred functional impact map of genetic variants in rice. Mol Plant, 2021, 14: 1584

6. Zhao H#, Tu Z#, Liu Y, Zong Z, Li J, Liu H, Xiong F, Zhan J, Hu X, Xie W*. PlantDeepSEA, a deep learning-based web service to predict the regulatory effects of genomic variants in plants. Nucleic Acids Res, 2021, 49: W523

7. Tang S#, Zhao H#, Lu S, Yu L, Zhang G, Zhang Y, Yang Q, Zhou Y, Wang X, Ma W, Xie W*, Guo L*. Genome- and transcriptome-wide association studies provide insights into the genetic basis of natural variation of seed oil content in Brassica napus. Mol Plant, 2021, 14: 470

8. Liu C, Tu Y, Liao S, Fu X, Lian X, He Y, Xie W*, Wang G*. Genome-wide association study of flowering time reveals complex genetic heterogeneity and epistatic interactions in rice. Gene, 2021, 770: 145353

9. Zhu T#, Liao K#, Zhou R#, Xia C, Xie W*. ATAC-seq with unique molecular identifiers improves quantification and footprinting. Commun Biol, 2020, 3: 675

10. Yao W, Li G, Zhao H, Wang G, Lian X, Xie W*. Exploring the rice dispensable genome using a metagenome-like assembly strategy. Genome Biol, 2015, 16: 187 
    Featured as "Research Highlight" in Genome Biology "Harvesting rice’s dispensable genome"

11. Xie W#, Wang G#, Yuan M, Yao W, Lyu K, Zhao H, Yang M, Li P, Zhang X, Yuan J, Wang Q, Liu F, Dong H, Zhang L, Li X, Meng X, Zhang W, Xiong L, He Y, Wang S, Yu S, Xu C, Luo J, Li X, Xiao J, Lian X*, Zhang Q*. Breeding signatures of rice improvement revealed by a genomic variation map from a large germplasm collection. Proc Natl Acad Sci USA, 2015, 112: E5411-E5419
    Featured as "Research Highlight" in Nature Plants "Rice breeding: Signature analysis"

12. Zhao H, Yao W, Ouyang Y, Yang W, Wang G, Lian X, Xing Y, Chen L, Xie W*. RiceVarMap: a comprehensive database of rice genomic variations. Nucleic Acids Res, 2015, 43: D1018-1022

13. Wang Q#, Xie W#, Xing H, Yan J, Meng X, Li X, Fu X, Xu J, Lian X, Yu S, Xing Y, Wang G*. Genetic Architecture of Natural Variation in Rice Chlorophyll Content Revealed by a Genome-Wide Association Study. Mol Plant, 2015, 8: 946-957

14. Chen W#, Gao Y#, Xie W#, Gong L#, Lu K#, Wang W, Li Y, Liu X, Zhang H, Dong H, Zhang W, Zhang L, Yu S, Wang G, Lian X*, Luo J*. Genome-wide association analyses provide genetic and biochemical insights into natural variation in rice metabolism. Nat Genet, 2014, 46: 714-721

15. Yu H#, Xie W#, Li J, Zhou F*, Zhang Q*. A whole-genome SNP array (RICE6K) for genomic breeding in rice. Plant Biotechnol J, 2014, 12: 28-37

16. Chen H#, Xie W#, He H#, Yu H#, Chen W, Li J, Yu R, Yao Y, Zhang W, He Y, Tang X*, Zhou F*, Deng X W*, Zhang Q*. A High-Density SNP Genotyping Array for Rice Biology and Molecular Breeding. Mol Plant, 2014, 7: 541-553

17. Xie W, Feng Q, Yua H, Huang X, Zhao Q, Xing Y, Yu S, Han B, Zhang Q*. Parent-independent genotyping for constructing an ultrahigh-density linkage map based on population sequencing. Proc Natl Acad Sci USA, 2010, 119: 151-164

18. Wang L#, Xie W#, Chen Y, Tang W, Yang J, Ye R, Liu L, Lin Y, Xu C, Xiao J, Zhang Q*. A dynamic gene expression atlas covering the entire life cycle of rice. Plant J, 2010, 61: 752-766