刘海军，华中农业大学生命科学技术学院教授、湖北洪山实验室研究员。2012年毕业于华中农业大学生物科学国家理科基地班，获学士学位；2017年获华中农业大学遗传学博士学位。2017年7月至2019年10月，受“博士后创新人才计划”资助在作物遗传改良国家重点实验室从事博士后研究。2019年10月至2024年1月，获欧盟地平线2020与玛丽·居里学者基金联合资助，赴奥地利科学院孟德尔研究所继续博士后工作。2024年2月，受聘为崖州湾国家实验室主任科学家；2026年3月，返回母校入职华中农业大学生命科学技术学院。

主要从事植物基因组学、群体遗传学、基因编辑、人工智能、合成生物学等交叉学科研究，当前聚焦玉米智能育种与合成设计。以第一或通讯作者（含共同）在 Nature Genetics、Molecular Plant、Genome Biology、Plant Cell、Annual Review of Plant Biology、Nature Plants 等期刊发表论文20余篇；其中1项工作入选“年度中国生物信息学十大算法和工具”；获国家发明专利14项、软件著作权1项。

关于我们的团队：

追求宗旨：Translating foundational biology into novel strategies for sustainable agriculture（让基础生物学落地田间）。

行事原则：志存高远（Aim high）、着眼前沿（Dig deep）、脚踏实地（Stay grounded）。努力追真问题，偶尔随热点。

日常画风：写代码、挖数据、做分子实验、下地看玉米。我们是“干实验”、“湿实验”、与“脏实验（田间）”的混合体。

欢迎对象：无论你是想做本科毕设、攻读硕博、博后工作，还是纯粹围观，只要你：有内在驱动力（哪怕是短暂型好奇心），不介意和我们一起折腾，有一技之长或至少肯学着长出来。我们都热切欢迎，不限形式，不限背景，不限期限。

感兴趣请随时邮件联系，告诉我们：

你为什么对我们感兴趣？

你对我们团队有什么期待？

最好再分享一个你最近在想的科研问题 — we love brilliant and stupid ideas equally!

发表论文（本人第一或通讯作者，含共同）：

21.   Fu J, Jia A^#, Wang H, Liu H-J^*. JanusX: an integrated and high-performance platform for scalable genome-wide association studies and genomic selection. bioRxiv 2026.1.20.700366. [Under review]

20.   Jia A^#, Yang Y^#, Jin M, Zhan J, Zhang M, Xu S, Li Z, Tao K, Yu Y, Feng L, Fu J, Li W, Zhang P, Liu Y, Xu J, Wang S, Zhang Z, Wang H^*, Yan J^*, Liu H-J^*. Deep learning reveals a microprotein atlas in maize and uncovers novel regulators of seed amino acid metabolism. bioRxiv 2025.11.14.688563. [Under review]

19.   Li K^#, Yu Y^#, Yan S^#, Li W^#, Xu J, Li G, Li W, Liu J, Qi X, Huang W, Zhang Q, Kong Q, Xiao Y, Zhang N, Luo J, Chen L, Zhu W, Wen T, Xie L, Li Y, Lu W, Li C, Gui S, Xiao Y, Yang N, Zhuo L, Fernie AR, Liu H-J^*, Hu J^*, Yan J^*. Genetic basis of flavor complexity in sweet corn. Nat Genet, 2025, 57(11):2842–2851

18.   Liu H-J^*, Fu J, Xu S, Nordborg M. Potential Synthetic Associations Created by Epistasis. Genome Biol, 2025, 26(1):336.

17.   Igolkina A^#, Vorbrugg S^#, Rabanal F^#, Liu H-J^#, Ashkenazy H^#, Kornienko A^#, Fitz J, Collenberg M, Kubica C, Morales M. A, Jaegle B, Wrightsman T, Voloshin V, Llaca V, Nizhynska V, Reichardt I, Lanz C, Bemm F, Flood J. P, Nemomissa S, Hancock A, Guo Y-L, Kersey P, Weigel D^*, Nordborg M^*. Towards an unbiased characterization of genetic polymorphism. Nat Genet, 2025, 57(9):2289-2301.

16.   Wang Y^#, Zhang P^#, Xiao Y^#, Liu H-J^*, Ding J, Qu Y, Gao J, Li W, Guo X, Wang A, Li W, Chen G, Shi C-Q, Liu J, Liu JX, Zhang Jian, Xu J, Zhang H, Zhang Jianan, Zhao J, Tang J, Wang H^*, Zhang Z^*, Chen Z^*, Yan J^*. GAIN: a long-term maize germplasm innovation plan. Mol Plant, 2025; 18(6):915-919.

15.   Wei W^#, Gui S^#, Yang J, Garrison E, Yan J, Liu H-J^*. wgatools: an ultrafast toolkit for manipulating whole genome alignments. Bioinformatics, 2025; 41(4): btaf132.

14.   Liu H-J^*, Liu J^*, Zhai Z, Dai M, Tian F, Wu Y, Tang J, Lu Y, Wang H, Jackson D, Yang X, Qin F, Xu M, Fernie AR, Zhang Z, Yan J^*. Maize2035: A decadal vision for intelligent maize breeding. Mol Plant, 2025; 18(2):313-332.

13.   Liang Y^#, Liu H-J^#, Yan J^*, Tian F^*. Natural Variation in Crops: Realized Understanding, Continuing Promise. Annu Rev Plant Biol, 2021, 72:357-385.

12.   Wang S^#, Tian L^#, Liu H^#, Li X, Zhang J, Chen X, Jia X, Zheng X, Wu S, Chen Y, Yan J^*, Wu L^*. Large-Scale Discovery of Non-conventional Peptides in Maize and Arabidopsis through an Integrated Peptidogenomic Pipeline. Mol Plant, 2020, 13(7):1078-1093.

11.   Liu H-J^#, Wang X^#, Xiao Y^#, Luo J^#, Qiao F^#, Yang W^#, Zhang R^#, Meng Y, Sun J, Yan S, Peng Y, Niu L, Jian L, Song W, Yan J, Li C, Zhao Y, Liu Y, Warburton ML, Zhao J^*, Yan J^*. CUBIC: an atlas of genetic architecture promises directed maize improvement. Genome Biol. 2020, 21(1):20.

10.   Liu H-J^#, Jian L^#, Xu J^#, Zhang Q, Zhang M, Jin M, Peng Y, Yan J, Han B, Liu J, Gao F, Liu X, Huang L, Wei W, Ding Y, Yang X, Li Z, Zhang M, Sun J, Bai M, Song W, Chen H, Sun X, Li W, Lu Y, Liu Y, Zhao J, Qian Y, Jackson D, Fernie AR, Yan J^*. High-Throughput CRISPR/Cas9 Mutagenesis Streamlines Trait Gene Identification in Maize. Plant Cell, 2020, 32(5):1397-1413.

09.   Sun J^#, Liu H^#, Liu J, Cheng S, Peng Y, Zhang Q, Yan J, Liu H-J^*, Chen L-L^*. CRISPR-Local: a local single-guide RNA (sgRNA) design tool for non-reference plant genomes. Bioinformatics, 2019, 35(14):2501-2503.

08.   Liu H-J^*, Yan J^*. Crop genome-wide association study: A harvest of biological relevance. Plant J, 2019, 97: 8-18.

07.   Chen Q^#, Han Y^#, Liu H^#, Wang X, Sun J, Zhao B, Li W, Tian J, Liang Y, Yan J, Yang X^*, Tian F^*. Genome-Wide Association Analyses Reveal the Importance of Alternative Splicing in Diversifying Gene Function and Regulating Phenotypic Variation in Maize. Plant Cell, 2018, 30(7):1404-1423.

06.   Liu H^#, Luo X^#, Niu L, Xiao Y, Chen L, Liu J, Wang X, Jin M, Li W, Zhang Q, Yan J^*. Distant eQTLs and Non-coding Sequences Play Critical Roles in Regulating Gene Expression and Quantitative Trait Variation in Maize. Mol Plant, 2017, 10(3):414-426.

05.   Xiao Y^#, Liu H^#, Wu L^#, Warburton M, Yan J^*. Genome-wide Association Studies in Maize: Praise and Stargaze. Mol Plant, 2017, 10(3):359-374.

04.   Liu H^*, Yan J^*. Rice domestication: An imperfect African solution. Nat Plants, 2017, 3:17083. [Comment]

03.   Jin M^#, Liu H^#, He C^#, Fu J^*, Xiao Y, Wang Y, Xie W, Wang G, Yan J^*. Maize pan-transcriptome provides novel insights into genome complexity and quantitative trait variation. Sci Rep, 2016, 6:18936.

02.   Liu H, Wang F, Xiao Y, Tian Z, Wen W, Zhang X, Chen X, Liu N, Li W, Liu L, Liu J, Yan J, Liu J^*. MODEM: multi-omics data envelopment and mining in maize. Database (Oxford), 2016, 2016: baw117.

01.   Liu H^#, Wang X^#, Warburton ML, Wen W, Jin M, Deng M, Liu J, Tong H, Pan Q, Yang X, Yan J^*. Genomic, Transcriptomic, and Phenomic Variation Reveals the Complex Adaptation of Modern Maize Breeding. Mol Plant, 2015, 8(6):871-84.