李慧慧
职  称
  • 研究员
电  话
  • 010-82106038
电子邮件
  • lihuihui@caas.cn
创新团队
  • 作物生物信息学及应用
研 究 组
  • 作物智能设计算法模型
研究中心
  • 作物基因与分子设计中心
组  员:
研 究 生
  • 李志勇
  • 单丹婷
  • 王轲麟
  • 王竞馨
  • 冯英伟
  • 谢兆荣
  • Muhammad Amjad Farooq
  • 余廷熙
  • 疏琴
教育经历
  • 2009年6月获北京师范大学生物数学专业博士学位
  • 2007年9月到2008年11月美国康奈尔大学Buckler实验室访问学者,从事统计基因组学研究
工作经历
  • 2009年7月加入中国农业科学院作物科学研究所,现任作物基因与分子设计中心副主任,研究员,博士生导师
研究方向
  • 基因挖掘智能算法研发
  • 基因组预测智能算法研发
  • 智能设计育种工具研发
学术兼职
  • 北京师范大学统计学院兼职教授
  • 中国作物学会智慧农业专业委员会秘书长
  • 中国生物信息学会(筹)农林信息学专业委员会常务委员
  • 中国热带作物学会理事会理事
  • 《Frontiers in Plant Science》分刊主编
  • 《aBIOTECH》编委
  • 《Theoretical and Applied Genetics》编委
  • 《Journal of Integrative Agriculture》期刊编委
  • 《Frontiers in Genetics》编委
  • 《作物学报》编委
荣誉称号
  • 国家级人才计划入选者
  • 2014年入选研究所优秀青年培育人才计划
  • 中国农业科学院“作物生物信息学”科技创新团队科研骨干
  • 2018年入选中国农科院作科所后备人才
  • 2019年荣获中国农业科学院“科研英才培育工程”院级入选者
  • 2020年入选中国农科院农科英才领军人才B类
  • 2021年荣获中国农学会青年科技奖
  • 2024年入选农业农村部神农青年英才
  • 2025年入选中国农科院农科英才创新型领军人才
获奖成果
  • 在Molecular Plant, Nature Plants, Advanced Science, Plant Biotechnology Journal, Trends in Plant Science等期刊发表第一/通讯作者60篇,其中单篇他引超过500次的论文4篇,单篇他引超过100次的论文21篇,授权发明专利12项、软著21项。研究成果入选2023、2024年度海南省十大杰出农业科技成果,中国科协“生物育种优秀解决方案”奖。
承担项目
  • 主持国家自然科学基金国际(地区)合作与交流项目“基于组学大数据和深度学习算法解析玉米开花期适应性的遗传基础”,项目批准号:32361143514,2024年01月至2028年12月,经费200万元。
  • 国家重点研发计划项目子课题“作物育种数据挖掘关键技术与工具”(项目批准号:2022YFF0711802),2022年11月至2025年12月,经费270万元。
  • 主持海南省崖州湾种子实验室科技计划项目“基于人工智能的精准高效育种技术体系研发与应用”(项目批准号:B21HJ0223),2022年1月1日至 2022年12月31日,经费40万元。
  • 国家重点研发项目“水稻资源节约型性状优异基因挖掘及其分子设计”(项目批准号:2021YFD1201200),2021年12月至2026年11月,经费79.2万元。
  • “十三五”七大作物国家重点研发计划项目子课题“玉米骨干亲本遗传框架图和预测模型构建”(项目批准号2016YFD0100303),2016年7月至2020年12月,经费100万元。
  • 国际集成育种平台项目“A REGIONAL HUB OF THE INTEGRATED BREEDING PLATFORM”,2014年7月至2016年12月,经费26万美元。
  • 国家自然科学基金面上项目“数量性状基因型到表型预测模型的理论及其在植物育种中的应用研究”(项目批准号31471174),2015年1月至2018年12月,经费86万元。
  • “十二五”农村领域国家科技计划子课题“基因发掘和分子育种数据处理分析系统建立”(项目批准号2015BAD02B01-2-2),2015年7月至2019年12月,经费43万元。
  • 作科所“优青培育计划”,2016年1月至2018年12月,经费60万元。
主要论文
  • Kunhui He, Tingxi Yu, Shang Gao, Shoukun Chen, Liang Li, Xuecai Zhang, Changling Huang, Yunbi Xu, Jiankang Wang, Boddupalli M. Prasanna, Sarah Hearne, Xinhai Li, Huihui Li*, 2025. Leveraging automated machine learning for environmental data-driven genetic analysis and genomic prediction in Maize hybrids. Advanced Science, 6:e2412423.下载
  • Tingxi Yu, Hao Zhang, Shoukun Chen, Shang Gao, Ze Liu, Jiankang Wang, Jose Crossa, Osval A Montesinos-López, Sarah Hearne, Huihui Li*, 2025. EXGEP: a framework for predicting genotype-by-environment interactions using ensembles of explainable machine-learning models. Briefings in Bioinformatics, 26(4):bbaf414.下载
  • Shoukun Chen, Hao Zhang, Shuqiang Gao, Kunhui He, Tingxi Yu, Shang Gao, Jiankang Wang, Huihui Li, 2025. Unveiling salt tolerance mechanisms in plants: integrating the KANMB machine learning model with metabolomic and transcriptomic analysis. Advanced Science, 12(23):e2417560.下载
  • Shang Gao, Tingxi Yu, Awais Rasheed, Jiankang Wang, Jose Crossa, Sarah Hearne, Huihui Li, 2025. Fast-forwarding Plant Breeding with Deep Learning-based Genomic Prediction. Journal of Integrative Plant Biology, 67(7):1700-1705.下载
  • Jingxin Wang, Liwei Liu, Kunhui He, Takele Weldu Gebrewahid, Shang Gao, Qingzhen Tian, Zhanyi Li, Yiqun Song, Yiliang Guo, Yanwei Li, Qinxin Cui, Luyan Zhang, Jiankang Wang, Changling Huang, Liang Li, Tingting Guo, Huihui Li, 2025. Accurate genomic prediction for grain yield and grain moisture content of maize hybrids using multi‐environment data. Journal of Integrative Plant Biology, 67(5):1379-1394.下载
  • Huihui Li, Luyan Zhang, Shang Gao, Jiankang Wang, 2025. Prediction by simulation in plant breeding. The Crop Journal, 13(2): 501-509.下载
  • Ying Zhou, Yanfang Heng, Shoukun Chen, Jinglu Wang, Kunhui He, Jiahui Geng, Kaijian Fan, Yonggui Xiao, Changling Huang, Jiankang Wang, Enying Zhang*, Liang Li*, Huihui Li*, 2025. Dissecting the genetic basis of agronomic traits by multi-trait GWAS and genetic networks in maize (Zea mays L.). aBIOTECH, 6:707–725下载
  • Huihui Li, Xin Li, Peng Zhang, Yingwei Feng, Junri Mi, Shang Gao, Lele Sheng, Mohsin Ali, Zikun Yang, Liang Li, Wei Fang, Wensheng Wang, Qian Qian, Fei Gu & Wenbin Zhou, 2024. Smart Breeding Platform: a web-based tool for high-throughput population genetics, phenomics, and genomic selection. Molecular Plant. doi: 10.1016/j.molp.2024.03.002.下载
  • Muhammad Amjad Farooq, Shang Gao, Muhammad Adeel Hassan, Zhangping Huang, Awais Rasheed5, Sarah Hearne, Boddupalli Prasanna, Xinhai Li, Huihui Li, 2024. Artificial intelligence in plant breeding. Trends in Genetics, 40(10):891-908.下载
  • Shoukun Chen, Tingting Du, Zhangping Huang, Kunhui He, Maogeng Yang, Shang Gao, Tingxi Yu, Hao Zhang, Xiang Li, Shihua Chen, Chun-Ming Liu, Huihui Li, 2024. The Spartina alterniflora genome sequence provides insights into the salt tolerance mechanisms of exo-recretohalophytes. Plant Biotechnology Journal, 22(9):2558-2574.下载
  • Zhangping Huang, Shoukun Chen, Kunhui He, Tingxi Yu, Shang Gao, Junjie Fu, Huihui Li, 2024. Exploring salt tolerance mechanisms using machine learning for transcriptomic insights: case study in Spartina alterniflora. Horticulture Research 11(5):uhae082.下载
  • Kaijian Fan, Mohsin Ali, Kunhui He, Yingwei Feng, Tingxi Yu, Hao Zhang, Tai An, Weiwei Zeng, Junjie Fu,Ying Zhou, Yanfang Heng, Fei Gu, Jiankang Wang, Changling Huang, Liang Li, Huihui Li, 2024. Genomic analysis of modern maize inbred lines reveals diversity and selective breeding effects. Science China Life Sciences, doi: 10.1007/s11427-024-2725-1.下载
  • Kelin Wang, Muhammad Ali Abid, Awais Rasheed, Jose Crossa, Sarah Hearne, Huihui Li, 2023. DNNGP, a deep neural network-based method for genomic prediction using multiomics data in plants. Molecular Plant 16(1):279-293.下载
  • Saman Maqbool, Samar Naseer, Nageen Zahra, Fatima Rasoo, Humaira Qayyum, Khawar Majeed, Muhammad Jahanzaib, Muhammad Sajjad, Muhammad Fayyaz, Muhammad Kashif Naeem, Muhammad Ramzan Khan, Hao Zhang , Awais Rasheed,& Huihui Li, 2023. RNAseq of diverse spring wheat cultivars released during last 110 years. Scientific data 10(1):884.下载
  • Maogeng Yang, Shoukun Chen, Zhangping Huang, Shang Gao, Tingxi Yu, Tingting Du, Hao Zhang, Xiang Li, Chun-Ming Liu, Shihua Chen, Huihui Li, 2023. Deep learning-enabled discovery and characterization of HKT genes in Spartina alterniflora. The Plant Journal.116(3):690-705.下载
  • Shang Gao, Shoukun Chen, Maogeng Yang, Jinran Wu , Shihua Chen & Huihui Li, 2023. Mining salt stress-related genes in Spartina alterniflora via analyzing co-evolution signal across 365 plant species using phylogenetic profiling. aBIOTECH 4(4):291-302.下载
  • Danting Shan, Mohsin Ali, Mohammed Shahid, Anjuman Arif, Muhammad Qandeel Waheed, Xianchun Xia, Richard Trethowan, Mark Tester, Jesse Poland, Francis C. Ogbonnaya, Awais Rasheed, Zhonghu He, Huihui Li, 2022. Genetic networks underlying salinity tolerance in wheat uncovered with genome‑wide analyses and selective sweeps. Theoretical and Applied Genetics, 135(9):2925-2941.下载
  • Mohsin Ali, Shan Danting, Jiankang Wang,Hafsa Sadiq, Awais Rasheed1,Zhonghu He and Huihui Li, 2022. Genetic Diversity and Selection Signatures in Synthetic-Derived Wheats and Modern Spring Wheat. Frontiers in Plant Science, 13:877496.下载
  • Muhammad Ibrar Khan, Zarnishal Kainat, Saman Maqbool, Ambreen Mehwish, Suhaib Ahmad, Hafiz Muhammad Suleman, Zahid Mahmood, Mohsin Ali, Abdul Aziz, Awais Rasheed* and Huihui Li, 2022. Genome-wide association for heat tolerance at seedling stage in historical spring wheat cultivars. Frontiers in Plant Science, 13:972481.下载
  • Gen Xu, Xuan Zhang, Wenkang Chen, Renyu Zhang, Zhi Li, Weiwei Wen, Marilyn L. Warburton, Jiansheng Li, Huihui Li and Xiaohong Yang, 2022. Population genomics of Zea species identifes selection signatures during maize domestication and adaptation.BMC Plant Biology, 22(1):72.下载
  • Huihui Li*, Zhonghu He, 2021. Warmingclimate challenges breeding. Nature Plants, 7: 1164–1165.下载
  • Jing Li#, Delin Li#, Cristian Zavala Espinosa, Viridiana Trejo Pastor, Awais Rasheed, Natalia Palacios Rojas, Jiankang Wang, Amalio Santacruz Varela, Natália Carolina de Almeida Silva, Patrick S. Schnable, Denise E. Costich, Huihui Li*, 2021. Genome-wide analysesreveal footprints of divergent selection and popping-related traits in CIMMYT'smaize inbred lines. Journal of Experimental Botany, 72: 1307-1320.下载
  • Jing Li#, Guobo Chen#, Awais Rasheed, Delin Li, Kai Sonder, Cristian Zavala Espinosa, Jiankang Wang, Denise E. Costich, Patrick S. Schnable, Sarah J. Hearne*, Huihui Li*, 2019. Identifying loci with breeding potential across temperate and tropical adaptation via EigenGWAS and EnvGWAS. Molecular Ecology, 28: 3544-3560.下载
  • Fakiha Afzal, Huihui Li*, Alvina Gul, Abid Subhani, Ahmad Ali, Abdul Mujeeb-Kazi, Francis Ogbonnaya, Richard Trethowan, Xianchun Xia, Zhonghu He,and Awais Rasheed*, 2019. Genome-Wide Analyses Reveal Footprints of Divergent Selection and Drought Adaptive Traits in Synthetic-Derived Wheats. G3 , 9: 1957-1973.下载
  • Huihui Li, P. Vikram, R. P Singh, A. Kilian, J. Carling, J. Song, J. A. Burgueno, S. B., J. Huerta-Espino, T. Payne, D. Sehgal, P. Wenzl and S. Singh, 2015. A high density GBS map of bread wheat and its application for dissecting complex disease resistance traits. BMC Genomics 16:216 DOI 10.1186/s12864-015-1424-5.下载
  • Huihui Li, Sukhwinder Singh, Sridhar Bhavani, Ravi P. Singh, Deepmala Sehgal, Bhoja R. Basnet, Prashant Vikram, Juan Burgueno-Ferreira, Julio Huerta-Espino, 2016. Identification of Genomic Associations for Adult Plant Resistance in the Background of Popular South Asian Wheat Cultivar, PBW343. Front. Plant Sci., 7: 1674.下载
  • Xue-Feng Yao, Yanhong Liu, Zhiyong Li, Guo-Qiang Jiang, Wensheng Wang, Hong Lu, Huihui Li*, Zefu Lu*, Chun-Ming Liu*, 2025. Non-random distribution of EMS-induced mutations reveals preference for open chromatin and expressed genes in rice. Advanced Science, 13:e10034.下载
  • Renyu Zhang#, Gen Xu#, Jiansheng Li, Jianbing Yan, Huihui Li*, Xiaohong Yang*, 2018. Patterns of genomic variation in Chinese maize inbred lines and implications for genetic improvement. Theoretical and Applied Genetics 131:1207-1221.下载
  • Huihui Li, R. P. Singh, H.-J. Braun, W. H. Pfeiffer, J. Wang, 2013. Comparison of doubled haploids with conventional breeding in CIMMYT wheat breeding programs. Crop Science 53(1): 74-83.下载
  • Huihui Li, Awais Rasheed, Lee T. Hickey, Zhonghu He, 2018. Fast-forwarding genetic gain. Trends in Plant Science, 23: 184-186.下载
  • Buckler, S. E., J. B. Holland, M. M. McMullen, S. Kresovich, C. Acharya, P. Bradbury, P. Brown, C. Browne, M. Eller, E. Ersoz, S. Flint-Garcia, A. Garcia, J. Glaubitz, M. Goodman, C. Harjes, K. Hutchins, D. Kroon, S. Larsson, N. Lepak, Huihui Li, S. Mitchell, G. Pressoir, J. Peiffer, M. O. Rosas, T. Rocheford, C. Romay, S. Romero, S. Salvo, H. Sanchez Villeda, Q. Sun, F. Tian, N. Upadyayula, D. Ware, H. Yates, J. Yu, Z. Zhang, 2009. The genetic architecture of maize flowering time. Science 325: 714-718.下载
  • McMullen, M. M., S. Kresovich, H. S. Villeda, P. Bradbury, Huihui. Li, Q. Sun, S. Flint-Garcia, J. Thornsberry, C. Acharya, C. Bottoms, P. Brown, C. Browne, M. Eller, K. Guill, C. Harjes, D. Kroon, N. Lepak, S. E. Mitchell, B. Peterson, G. Pressoir, S. Romero, M. O. Rosas, S. Salvo, H. Yates, M. Hanson, E. Jones, S. Smith, J. C. Glaubitz, M. Goodman, D. Ware, J. B. Holland, E. S. Buckler, 2009. Genetic properties of the maize nested association mapping population. Science 325: 737-740.下载
主要著作
  • 王建康,李慧慧,张鲁燕 (2014)。《基因定位与育种设计》。科学出版社。
授权专利
  • 基于深度学习的全基因组预测方法,ZL202311218507.X
  • 一种基于深度学习的功能基因预测方法,ZL202411676468.2
  • 一种基于机器学习的基因型和环境互作算法及其应用,ZL202410245774.4
  • 基于共进化特征分析的基因预测方法,ZL202510047580.8
  • 一种基于多环境数据预测玉米杂交种表现的方法,ZL202510089156.X
  • 一种自交作物杂交组合高代基因型预测模拟方法,ZL202510437301.9
  • 基于机器学习的作物全基因组预测方法及系统,ZL202510643432.2
  • 一种基于大语言模型的转录组注释方法及系统,ZL202510817866.X
  • 全基因组预测的并行计算与数据可视化分析系统,ZL202510437299.5
  • Genome-wide prediction method based on deep learning by using genome-wide data and bioinformatics features,US012315600B2