万方浩、钱万强课题组

 简历介绍

课题组组长

万方浩，研究员，博士生导师。

1989年毕业于中国农业科学院研究生院，获理学博士学位。1984-2018年先后在湖南农学院和中国农业科学院生物防治研究所、植物保护研究所从事入侵生物学研究。目前主要从事生物入侵及生物防治的研究，创建了我国入侵生物学新兴学科。先后主持国家“973”计划等国家重点项目20余项；获国家和省部级成果奖20项（国家科技进步二等奖2项）；发表论文700余篇(SCI-200余篇)，出版专著21部。

联系方式：wanfanghao@caas.cn

钱万强，研究员、博士生导师，兼任中国植保学会入侵生物学分会副主任。

2006年毕业于北京大学，获理学博士学位。2014至今一直在中国农业科学院农业基因组研究所从事入侵生物学研究。主要研究方向为入侵生物学、植物保护，运用生物多组学技术、人工智能技术，揭示薇甘菊等入侵物种传入与暴发的分子机制，丰富了“内禀优势”“适应性演化”等入侵假说；研发了入侵种高光谱识别技术、入侵生物基因组数据库等检测监测技术方法和平台，为行业部门制定国家重点管理入侵物种名录和区域性扩散前沿的调查监测提供了支撑。近 5 年来，以第一或通讯作者在 Nature Communications等杂志上发表 SCI论文 19 余篇，其中中科院 1 区论文10篇；授权国家发明专利 4 项，主持国家重点研发计划课题等国家级科研项目 6 项，主持发起IAS1000（国际千种入侵生物基因组计划）。

联系方式：qianwanqiang@caas.cn

团队成员

姓名	职称	联系方式
刘博	副研究员，硕士生导师，深圳市鹏城孔雀计划C档特聘	liubo03@caas.cn
乔曦	副研究员，硕士生导师，深圳市鹏城孔雀计划C档特聘	qiaoxi@caas.cn
刘聪辉	副研究员，硕士生导师	liuconghui@caas.cn
宋新月	科研助理	songxinyue@caas.cn

 研究领域：

研究内容

围绕重要农业入侵生物防控基因组及基于组学大数据深度分析，开展深层次的入侵机制与防控新技术的研发。利用现代基因组测序技术和组装策略构建高质量的入侵生物基因组，结合生物学实验解析入侵的分子机制与生态学过程，挖掘重要入侵性相关基因，进而开发相应基因干扰的分子农药和智能检测监测系统，创新入侵生物防控新技术。

研究进展

1.薇甘菊入侵机制与生物防治

薇甘菊可在白天和夜晚分别利用C3和C4的光合途径进行CO₂的固定，提高了碳固定效率；从薇甘菊叶5种贾泽兰属特异的倍半萜内酯单体化合物对薇甘菊土壤氮循环菌的富集有显著的促进作用，为其快速生长提供了充足的营养物质。此外，发现薇甘菊专性病原真菌（Puccinia spegazzinii）侵染薇甘菊后，不仅可降低生长激素水平，还可减弱光合作用能力。该研究深入揭示了专一性柄锈菌通过控制薇甘菊体内茉莉酸水平来抑制其生长的分子机制。

1. Mikania micrantha invasion mechanism and biological control

Mikania micrantha could use C3 and C4 photosynthetic pathways to fix CO2 during the day and night respectively, which improved the efficiency of carbon fixation. Five kinds of sesquiterpene lactones from the leaves of M. micrantha significantly promoted the enrichment of relative abundance in soil nitrogen cycling bacteria, which provided sufficient nutrients for M. micrantha rapid growth. In addition, after host-specific rust (Puccinia spegazzinii) infected Mikania micrantha, not only reducing the level of growth hormone, but also inhibiting the photosynthetic capacity in M. micrantha leaves. The results reveal that inhibition mechanism of invasive plant Mikania micrantha rapid growth by host-specific rust.

2. 利用组学技术解析苹果蠹蛾适应性进化机制，探索开发新型防控制剂

通过基因组学和比较基因组学发现，苹果蠹蛾共编码40个气味结合蛋白 (Odorant Binding Proteins, OBPs)，其扩张主要由基因串联拷贝导致，进一步发现CpomGOBP1和CpomOBP20与苹果蠹蛾寄主识别及生长发育相关。通过病毒侵染转录组分析苹果蠹蛾颗粒体病毒（Cydia pomonella granulovirus, CpGV）侵染宿主不同时间点病毒基因复制的时空表达模式，揭示了病毒侵染复制过程。

2. Utilize omics technologies to unravel the adaptive evolutionary mechanism of codling moth and explore the development of novel pest control agents

Through genomics and comparative genomics analysis, we identified 40 odorant binding proteins (OBPs) in codling moth, and found that the expansion of OBPs is mainly caused by tandem duplications. Further research revealed that CpomGOBP1 and CpomOBP20 are associated with host recognition and growth and development of codling moth. The spatial and temporal expression patterns of viral genes were analyzed through the transcriptome of codling moth at different time points after infected by Cydia pomonella granulovirus (CpGV), which revealed the process of viral infection and replication.

3.入侵软体动物入侵机制及检测、防控策略

研究团队构建了染色体级的福寿螺和非洲大蜗牛基因组，开展了比较基因组学分析，获得重要入侵性相关基因并进行了功能验证，并对不同地理种群开展了基因组重测序分析，从基因组水平解析了其入侵的分子机制。开发了灵敏型eDNA检测技术，为水生入侵生物的入侵提供监测和预警。利用入侵植物的化感物质和蜗牛信息素开发了植物源诱杀剂。开发了入侵软体动物的RNAi农药和功能验证平台。

3. Invasion mechanism, detection and control strategies of invasive mollusks

The genomes of golden apple snail and giant African snails at the chromosome level were constructed, comparative genomics analysis was carried out, important invasive related genes were obtained and Functional verification was carried out, genome re sequencing analysis was carried out for different geographical populations, and the molecular mechanism of their invasion was analyzed at the genome level. Sensitive eDNA detection technology was developed to provide monitoring and early warning for the invasion of aquatic invasive species. The allelochemicals of invasive plants and snail pheromone were employed to develop plant derived molluscicides. RNAi molluscicides and functional verification platform were developed for molluscs invasion.

4.外来入侵生物智能监测

利用多光谱和高清相机采集外来入侵生物表型数据，构建多尺度的外来入侵生物智能识别模型，基于识别结果开发入侵植物关键植被参数预测模型，结合入侵植物生物学特性和环境因子，成功构建了100余种外来入侵植物的扩散及危害预警系统。此外，还开发了基于入侵昆虫识别的田间害虫检测微信小程序和入侵杂草种子检测装备。

4. Invasive alien species intelligent monitoring

We used multi-spectral and high-definition cameras for phenotype data collection of invasive alien species, and constructed a multi-scale intelligent identification model of invasive alien species. Then, a prediction model of key vegetation parameters of invasive plants was developed based on the identification results of invasive plant. An early warning system was successfully built for the spread and damage of more than 100 invasive alien plants by combining the biological characteristics of invasive plants and environmental factors. In addition, we have developed a WeChat applet for pest detection in field based on invasive insect identification, and a seed detection equipment for invasive plant seed.

5. 外来入侵物种基因组与基因数据的综合分析数据库平台构建

通过已完成基因组测序的外来入侵物种的组学相关数据，构建了InvasionDB数据库，为从基因组水平探究外来物种的入侵性，以及发展新的防控技术具有重要指导意义。通过基因组和转录组数据，构建了苹果蠹蛾lncRNA分析流程及新基因鉴定方法，为进一步研究苹果蠹蛾各种生理活动分子机制提供了数据支撑。

5. Development of a comprehensive analytical database platform for genetic and genomic data of invasive alien species

We constructed the InvasionDB database by utilizing the omics-related data of invasive alien species with completed genome sequencing. This database provides significant guidance for investigating the invasiveness of alien species at the genomic level, as well as developing new prevention and control techniques. Based on the genomic and transcriptomic data, we developed an analysis workflow for lncRNA and a new gene identification method for the codling moth (Cydia pomonella). These findings provide essential data support for further research on the molecular mechanism underlying various physiological activities of the codling moth.

6. IAS1000计划

IAS1000计划（1000种入侵物种基因组计划）顺利推进，目前与40余家科研院所、大学与企业建立了合作关系。研究团队已完成首批确定的重要入侵物种名单，包括薇甘菊、紫茎泽兰、苹果蠹蛾、红脂大小蠹、甜菜夜蛾、福寿螺、非洲大蜗牛、潜叶蛾、苹果绵蚜、稻水象甲和椰心叶甲等物种展开了测序和基因组分析。

6. IAS1000 Project

The IAS1000 Program (the Genome project of 1000 invasive species) has been successfully carried out. At present, it has established cooperative relationships with more than 40 scientific research institutes, universities and enterprises. The research team has completed the first list of identified important invasive species, including Mikania micrantha, Eupatorium adenophorum, Cydia pomonella, Dendroctonus valens, Spodoptera exigua, Pomacea canaliculata, Achatina immaculate, Tuta sp., Eriosoma lanigerum, Lissorhoptrus oryzophilus, and Brontispa longissima. More invasive species has conducted sequencing and genome analysis.

承担项目（钱万强）

2021.12-2024.11重大入侵种的入侵过程遗传适应性进化机制（国家重点研发计划，2021YFC2600101，主持人）

2022.07-2022.12 外来入侵物种鉴定和标本制作等（农业农村部科技教育司，13220177，主持人）

2021.11-2022.03 普查点位调查数据汇总分析及技术指导等（农业农村部科技教育司，13210396，主持人）

2021.01-2021.06 外来入侵物种普查试点技术支撑服务（农业农村部科技教育司，13200449，主持人）

2020.01-2022.12 开发基于重大入侵生物宏基因组分析的下一代防控策略（中德科学基金研究交流中心，M-0050，主持人）

2016.07-2018.12重要入侵生物的基因组特征及遗传结构（国家重点研发计划，2016YFC1200602 主持人）

 代表论著：

代表论文：

1. Liu B†, Yan J†, Li WH†, Yin LJ†, Li P†, Yu HX, …, Dong H, Peng CL*, Qian WQ*, Fan W*, Wan FH*. 2019. Mikania micrantha genome provides insights into the molecular mechanism of rapid growth. Nature Communications, 11(1):340.

2. Wan FH *†, Yin CL†, Tang R†, Chen MH†, Wu Q†, Huang C†, Qian WQ, …, Walters James*, Li F*. 2019. A chromosome-level genome assembly of Cydia pomonella provides insights into chemical ecology and insecticide resistance. Nature Communications, 10:4237.

3. Zhang X†, Liu B†, Zou F, Shen DY, Yin ZY, Wang RB, He F, Wang YC, Tyler BM, Fan W*, Qian WQ*, Dou DL*. 2019, Whole Genome Re-sequencing Reveals Natural Variation and Adaptive Evolution of Phytophthora sojae. Frontiers in Microbiology, 10:2792.

4. Huang C, Wu Q, Jiang CY, Xing LS, Shi GL, Zhang B, Qian WQ, Li YZ, Xi Y, Yang NW*, Wan FH*. 2019. Identification and developmental expression of putative gene encoding juvenile hormone esterase (CpJHE-like) in codling moth, Cydia pomonella (L.). Journal of Integrative Agriculture, 18(7): 2-11.

5. Liu CH†, Ren YW†, Li ZY†, Hu Q, Yin LJ, Wang HC, Qiao X, Zhang Y, Xing LS, Xi Y, Jiang F, Wang S, Huang C, Liu B, Liu HW, Wan FH, Qian WQ*, Fan W*. 2020. Giant African snail genomes provide insights into molluscan whole-genome duplication and aquatic-terrestrial transition. Molecular Ecology Resources, 10.1111/1755-0998.13261

6. Zhang L†, Liu B†, Zheng WG†; Liu CH, Zhang DD, Zhao SY, Li ZY, Xu PJ, …, Wang GR, Fan W*, Qian WQ*, Wu KM*, Xiao YT*. 2020. Genetic structure and insecticide resistance characteristics of fall armyworm populations invading China. Molecular Ecology Resources, 10.1111/1755-0998.13219

7. Yin LJ†, Liu B†, Wang HC, Zhang Y, Wang S, Jiang F, Ren YW, Liu HW, Liu CH, Wan FH, Wang HH, Qian WQ*, Fan W*. 2020. The Rhizosphere Microbiome of Mikania micrantha Provides Insight Into Adaptation and Invasion. Frontiers in Microbiology, 11:1462.

8. Qian WQ†, Huang YQ†, Liu Q†, Fan W, Sun ZY, Dong H, Wan FH*, Qiao X*. 2020. UAV and a deep convolutional neural network for monitoring invasive alien plants in the wild. Computers and Electronics in Agriculture, 174(2020):105519.

9. Qiao X†, Li YZ†, Su GY†, Tian HK, Zhang S, Sun ZY., Yang L, Wan FH., Qian WQ*. 2020. MmNet: Identifying Mikania micrantha Kunth in the wild via a deep convolutional neural network. Journal of Integrative Agriculture, 19(5): 1292-1300.

10. Xing LS.†, Xi Y.†, Qiao X., Huang C., Wu Q., Yang NW., Guo JY., Liu WX., Fan W.*, Wan FH.*, Qian WQ.*. 2021. The landscape of lncRNAs in Cydia pomonella provides insights into their signatures and potential roles in transcriptional regulation. BMC Genomics, 22(1): 4.

11. Xi Y. †, Xing LS. †, Jörg Wennmann T., Fan JB., Li ZY., Wu Q., Lu S., Liu B., Guo JY., Qiao X., Huang C., Qian WQ.*, Johannes A.Jehle*, Wan FH.*. 2021. Gene expression patterns of Cydia pomonella granulovirus in codling moth larvae revealed by RNAseq analysis. Virology, 558: 110-118.

12. Huang YQ.†, Li J.†, Yang R.†, Wang FK., Li YZ., Zhang S., Wan FH.* , Qiao X.*, Qian WQ.*. 2021. Hyperspectral imaging for identification of an invasive plant Mikania micrantha Kunth. Frontiers in plant science, 12: 626516.

13. Cong Huang†, Xue Zhang†, Dongfeng He, Qiang Wu, Rui Tang, Longsheng Xing, Wanxue Liu, Wenkai Wang, Bo Liu, Yu Xi, Nianwan Yang*, Fanghao Wan*, Wanqiang Qian*. 2021. Comparative Genomics Provide Insights Into Function and Evolution of Odorant Binding Proteins in Cydia pomonella. Frontiers in Physiology, 12: 690185.

14. Huang C.†, Lang K.†, Qian WQ.†, Wang SP., Cao XM., He R., Zhang AR., Chen MY., Yang NW.*, Li F.. 2021. InvasionDB: A genome and gene database of invasive alien species. Journal of Integrative Agriculture, 20(1): 191-200.

15. Wan J.†, Huang C.†, Li CY., Zhou HX., Ren YL., Li ZY., Xing LS., Zhang B., Qiao X., Liu B., Liu CH., Xi Y., Liu WX., Wang WK., Qian, WQ., Mckirdy S*, Wan FH.*. 2021. Biology, invasion and management of the agricultural invader: Fall armyworm, Spodoptera frugiperda (Lepidoptera: Noctuidae). Journal of Integrative Agriculture, 2021, 20(3): 646-663.

16. Zhudong Liu†, Longsheng Xing†, Wanlong Huang, Bo Liu, Fanghao Wan, Kenneth F. Raffa, Richard W. Hofstetter, Wanqiang Qian*, Jianghua Sun*. 2022. Chromosome‑level genome assembly and population genomic analyses provide insights into adaptive evolution of the red turpentine beetle, Dendroctonus valens. BMC Biology, 20: 190.

17. Jing Wang†, Jianguang Li†, Zaiyuan Li, Bo Liu, Lili Zhang, Dongliang Guo, Shilian Huang, Wanqiang Qian*, Li Guo*.2022. Genomic insights into longan evolution from a chromosome-level genome assembly and population genomics of longan accessions. Horticulture Research, 9: uhac021.

18. Ping Li†, Genxiang Bai†, Jiangbin He†, Bo Liu†, Junru Long†, Taylan Morcol, Weiyao Peng, Fan Quan, Xinbo Luan, Zhenzhen Wang, Yi Zhao, Yunsheng Cha, Yuanyuan Liu, Juncai He, Lianzhang Wu, Yi Yang, Edward J. Kennelly, Quan Yang*, Lirong Sun*, Zepeng Chen, Wanqiang Qian*, Jian Hu*, ian Yan*. 2022. Chromosome-level genome assembly of Amomum tsao-ko provides insights into the biosynthesis of flavor compounds. Horticulture Research, 9: uhac211.

19. Longsheng Xing, Qiang Wu, Yu Xi, Cong Huang, Wanxue Liu, Fanghao Wan*, Wanqiang Qian*. 2022. Full-length codling moth transcriptome atlas revealed by single-molecule real-time sequencing. Genomics, 114, (2022): 110299.

20. Yanzhou Li†, Feng Qin†, Yanzhou He†, Bo Liu, Conghui Liu, Xuejiao Pu, Fanghao Wan*, Xi Qiao*, Wanqiang Qian*. 2022. The effect of season on Spartina alterniflora identification and monitoring. Frontiers in Environmental Science, 2022, 1044839.

21. Zhang GZ†., Wang CJZ†., Ren XH., Li ZY., Liu CH., Qiao X., Shen SC., Zhang FD., Wan FH., Liu B.*, Qian WQ.*. 2023. Inhibition of invasive plant Mikania micrantha rapid growth by host-specific rust (Puccinia spegazzinii). Plant Physiology, 2023: kiad186.

22. Wang FK.†, Huang YQ.†, Huang ZC., Shen H., Huang C., Qiao X.*, Qian WQ.*. MRUNet: A two-stage segmentation model for small insect targets in complex environments. Journal of Integrative Agriculture, 2023, 22(4): 1117-1130.

23. Zhao X.Y., Li Y.Z., Chen Y.L., Qiao X.*, Qian W.Q.*. Water Chlorophyll a Estimation Using UAV-based Multispectral Data and Machine Learning. Drones, 2023, 7, 2. (SCI, IF: 5.349)

24. Ren XH.†, Zhang GZ.†, Jin MJ., Wan FH., Michael D. D., Qian WQ.*, Liu B.*. 2023. Metabolomics and Transcriptomics Reveal the Response Mechanisms of Mikania micrantha to Puccinia spegazzinii Infection. Microorganisms, 11, 678.

25. Ning Xiaoyu †, Huang Cong †, Dong Changhong, Jin Jisu, Qiao Xi, Guo Jianying, Qian Wanqiang, Cao Fengqin*, Wan Fanghao*. RNAi verifications on olfactory defects of an essential biocontrol agent Agasicles hygrophila (Coleoptera: Chrysomelidae) regarding mating and host allocation. Frontiers in Ecology and Evolution, 10, 3389.

26. Chen Y. †, Huang Y.Q. †,Zhang Z.Z., Wang Z., Liu B., Liu C.H., Huang C., Dong S.Y., Pu X.J., Wan F.H.*, Qiao X.*, Qian W.Q.*. Plant image recognition with deep learning: A review. Computers and Electronics in Agriculture, 2023, 212(2023): 108072.

代表专利：

1. 钱万强，刘博，张广忠，乔曦，申时才，万方浩. 一种抑制薇甘菊快速生长的生物方法（发明专利），授权日期：2023.01.10，专利号：ZL 202210230108.4.

2. 乔曦，钱万强，万方浩，彭长连. 入侵植物薇甘菊的自动识别方法及系统（发明专利），授权日期：2022.3.25，专利号：ZL201810572277.X.

3. 钱万强, 刘博, 万方浩, 申时才, 任行海. 一种薇甘菊柄锈菌扩繁方法（发明专利），授权日期：2021.10.28，专利号：ZL 202010698803.4.

4. 乔曦，钱万强，万方浩，彭长连. 入侵植物的监测系统及方法（发明专利），授权日期：2021.9.30，专利号：ZL 201810586568.4.

 

万方浩、钱万强课题组更新于2024年5月