姓名：		刘永鑫
	职称：		研究员，博士生导师
	电话/传真：		13810163414
	电子邮件：		liuyongxin@caas.cn
	实验室主页：		https://www.x-mol.com/groups/liuyongxin
	研究方向：		以宏基因组方法开发为立足点，解析人体基因组、菌群与食品营养三者的互作关系，为综合利用功能食品和肠道菌群提升人类健康而努力。

 简历介绍：

刘永鑫，研究员，博士生导师。

刘永鑫，研究员，博士生导师。2014年博士毕业于中国科学院大学生物信息学专业，之后在中国科学院遗传与发育生物学研究所工作历任博士后、工程师、高级工程师，2022年10月加入中国农业科学院深圳农业基因组研究所担任课题组长。研究方向为宏基因组方法开发、功能挖掘和科学传播。参与QIIME 2项目，主导开发了易扩增子(EasyAmplicon)、易宏基因组(EasyMetagenome)、培养组(Culturome)分析流程、数据分析网站(EVenn、ImageGP) 和R包(amplicon、ggClusterNet)等，目标是全面打造宏基因组领域方法学基础设施，推动微生物组学发展。以(共同)第一或通讯作者在Nature Biotechnology、Nature Microbiology、iMeta等期刊发表论文20余篇。合作在Science、Cell Host & Microbe、Microbiome等期刊发表论文20余篇，累计发表论文50余篇，被引用13000+次。主编《微生物组实验手册》专著，由300多位同行参与，共同打造本领域长期更新的中文百科全书。创办宏基因组公众号，15万+同行关注，分享原创文章3千余篇，累计阅读量超4千万，打造本领域最具影响力的科学传播平台。发起《iMeta》期刊，联合全球千位专家共同打造宏基因组学、微生物组和生物信息学顶刊，解决我国本领域期刊出版卡脖子问题。

 个人经历：

工作经历：

2022/10 - 至今     中国农业科学院深圳农业基因组研究所 研究员

2021/1 – 2022/9    中国科学院遗传与发育生物学研究所 高级工程师

2016/8 – 2020/12  中国科学院遗传与发育生物学研究所 工程师

2014/7 – 2016/7    中国科学院遗传与发育生物学研究所 博士后

教育经历：

2011/9 – 2014/6     中国科学院大学 博士研究生

2008/9 – 2011/6     东北农业大学 硕士研究生

2004/9 – 2008/6     东北农业大学 本科

个人经历

 团体研究方向：

团队成员：

李亚慧 助理研究员；高云云 博士后；侯辉宇 博士后；Salsabeel Yousuf 博士后；白德凤 博士后；杨军波 博士后；宋露洋 副教授（访问学者）；彭凯 博士；许姗姗 博士；罗豪 科研助理；马闯 硕士；杨海飞 硕士；王惠玲 本科（实习）

研究内容：

实验室将以宏基因组方法开发（图1）为立足点，重点关注三代测序和微生物单细胞等新技术，解析人体基因组、菌群与食品营养三者的互作关系（图2），为综合利用功能食品和肠道菌群提升人类健康而努力，并打造中国特色的科学传播体系（图3）。

图1. 宏基因组研究方法开发。(A) 宏基因组分析流程开发和优化：宏基因组领域现有的方法仍然处于初级阶段，需要不断地进行改进和创新。扩增子已经有3套引用过万的成熟流程，目前仍缺少标准化的宏基因组分析和可视化流程，开展相关工作有利于全面推动本领域发展并争夺国际制高点。(B) 去宿主实验和分析方法开发：动植物和食品微生物组研究，都会受到大量宿主污染的困扰，解决高宿主含量样本微生物富集去宿主的卡脖子问题，将极大拓展宏基因组研究的应用和发展。(C) 多组学整合分析方法开发：之前的研究以单一组学为主，正在向多组学整合转变，开发和优化多组学整合分析方法将更好地还原微生物组的全貌，发现生物学规律的真相，更准确地回答科学问题。

图2. 人体基因组、菌群与食品营养的关系。(A) 菌群影响人类健康的关键物种和基因：近年的研究表明肠道微生物组可能通过其代谢分子影响人类健康，解码微生物基因组对揭示其潜在的功能非常重要。过去10年，全球已发表上万个肠道宏基因组测序样本，以及挖掘的20余万个宏基因组组装基因组(MAG)，为一些功能菌的挖掘、变化规律的验证提供了一定的数据基础。但这些数据目前仍停留在数据阶段，绝大多数的功能未知，需要更系统的数据库组织形式、进一步地挖掘和新方法的出现来解析其中的功能微生物和基因。(B) 食品营养协同肠道菌群改善人类健康：重点关注微生物对食品对人类健康的改善，以便更好理解微生物组在人类营养和健康中的作用，并开功能食品，从而推动基于肠道菌群的精准食品营养学发展，改善人类健康。

图3. 微生物组科学传播体系构建：综述、专著和期刊

A. 综述微生物组数据分析方法 (Protein Cell, 2021高被引，2023)，助力同行快速理解并开展分析。B. 综述植物微生物组功能研究体系(Current Opinion in Microbiology, 2019)。C. 联合同行编写《微生物组实验手册》，打造本领域持续更新的中文方法百科全书。D. 发起微生物组领域高起点新刊iMeta(目标前10%，IF > 15)，构建全球华人主导的本领域国际话语权体系，解决本领域期刊出版的卡脖子问题。

研究进展 

2023年主要进展如下：正式发布了我国主导的扩增子分析流程——易扩增子EasyAmplicon(iMeta, 2023)，开发了微生物组R语言分析最佳实践(Protein & Cell, 2023)，评测了奇碳纳米孔测序技术在宏基因组长读长测序中的良好表现(Science of the Total Environment，2023)，综述了微生物组研究的过去、现在和未来(Protein & Cell, 2023)，此外易宏基因组EasyMetagenome分析流程、网络分析R包ggClusterNet持续更新中，更新版预期于2024年初发布。

代表论著：

代表论文：

2023

1. Tao Wen#, Guoqing Niu#, Tong Chen, Qirong Shen, Jun Yuan*, Yong-Xin Liu*. 2023. The best practice for microbiome analysis using R. Protein & Cell pwad024. https://doi.org/10.1093/procel/pwad024 (IF = 21.1, Q1)

2. Kai Peng#, Yong-xin Liu#, Xinran Sun, Qiaojun Wang, Pengcheng Du, Yunzeng Zhang, Mianzhi Wang, Zhiqiang Wang, Ruichao Li*. 2023. Long-read metagenomic sequencing reveals that high-copy small plasmids shape the highly prevalent antibiotic resistance genes in animal fecal microbiome. Science of the Total Environment 164585. https://doi.org/10.1016/j.scitotenv.2023.164585 (IF = 9.8, Q1)

3. Yong-Xin Liu#*, Lei Chen#, Tengfei Ma#, Xiaofang Li, Maosheng Zheng, Xin Zhou, Liang Chen, Xubo Qian, Jiao Xi, Hongye Lu, Huiluo Cao, Xiaoya Ma, Bian Bian, Pengfan Zhang, Jiqiu Wu, Ren-You Gan, Baolei Jia, Linyang Sun, Zhicheng Ju, Yunyun Gao*, Tao Wen*, Tong Chen*. 2023. EasyAmplicon: An easy-to-use, open-source, reproducible, and community-based pipeline for amplicon data analysis in microbiome research. iMeta 2: e83. https://doi.org/10.1002/imt2.83 (新刊，预计IF > 20, Q1)

4. Yunyun Gao, Danyi Li, Yong-Xin Liu*. 2023. Microbiome research outlook: past, present, and future. Protein & Cell pwad031. https://doi.org/10.1093/procel/pwad031 (IF = 21.1, Q1)

5. Yong-Xin Liu*, Chun-Lin Shi, Tengfei Ma, Wubin Ding, Danyi Li, Tong Chen*, Jingyuan Fu*, Shuang-Jiang Liu*. 2023. iMeta progress and acknowledgment of reviewers in 2022. iMeta 2: e89. https://doi.org/10.1002/imt2.89 (新刊，预计IF > 20, Q1)

6. Wen Luo, Yuanli Li, Ruiping Luo, Gehong Wei, Yongxin Liu*, Weimin Chen*. 2023. Dodder Parasitism Leads to the Enrichment of Pathogen Alternaria and Flavonoid Metabolites in Soybean Root. Agronomy 13: 1571. https://doi.org/10.3390/agronomy13061571 (IF = 3.7, Q1)

7. Penghao Sun#, Mengli Wang#, Yong?Xin Liu, Luqi Li, Xuejun Chai, Wei Zheng, Shulin Chen1, Xiaoyan Zhu* and Shanting Zhao*. 2023.High-fat diet-disturbed gut microbiota-colonocyte interactions contribute to dysregulating peripheral tryptophan-kynurenine metabolism. Microbiome 11, 154, https://doi.org/10.1186/s40168-023-01606-x (IF = 15.5, Q1).

8. Yuanping Zhou#, Wenjiao Luo#, Maoxing Li, Qiong Wang, Yongxin Liu*, Huachun Guo*.2023. Summer Rice-Winter Potato Rotation Suppresses Various Soil-Borne Plant Fungal Pathogens. Agronomy 13, 2143 (IF = 3.7, Q1).

2022

1. Jiao Xi, Zanbo Ding, Tengqi Xu, Wenxing Qu, Yanzhi Xu, Yongqing Ma, Quanhong Xue, Yongxin Liu, Yanbing Lin. 2022. Maize Rotation Combined with Streptomyces rochei D74 to Eliminate Orobanche cumana Seed Bank in the Farmland. Agronomy 12: 3129. https://doi.org/10.3390/agronomy12123129 (IF = 3.949, Q1)

2021

1. Yong-Xin Liu#*, Yuan Qin#, Tong Chen#, Meiping Lu, Xubo Qian, Xiaoxuan Guo & Yang Bai*. (2021). A practical guide to amplicon and metagenomic analysis of microbiome data. Protein & Cell 12, 315-330, https://doi.org/10.1007/s13238-020-00724-8 (IF = 15.328, Highly Cited)

2. Yong-Xin Liu, Yuan Qin & Yang Bai*. (2019). Reductionist synthetic community approaches in root microbiome research. Current Opinion in Microbiology 49, 97-102, https://doi.org/10.1016/j.mib.2019.10.010 (IF = 7.584)

3. Wenjun Li#, Likun Wang#, Xiaofang Li*, Xin Zheng, Michael F. Cohen, Yong-Xin Liu*. 2022. Sequence-based Functional Metagenomics Reveals Novel Natural Diversity of Functioning CopA in Environmental Microbiomes. Genomics Proteomics Bioinformatics https://doi.org/10.1016/j.gpb.2022.08.006 (IF = 6.409)

4. Jingying Zhang#, Yong-Xin Liu#, Na Zhang#, Bin Hu#, Tao Jin#, Haoran Xu, Yuan Qin, Pengxu Yan, Xiaoning Zhang, Xiaoxuan Guo, Jing Hui, Shouyun Cao, Xin Wang, Chao Wang, Hui Wang, Baoyuan Qu, Guangyi Fan, Lixing Yuan, Ruben Garrido-Oter, Chengcai Chu* & Yang Bai*. (2019). NRT1.1B is associated with root microbiota composition and nitrogen use in field-grown rice. Nature Biotechnology 37, 676-684, https://doi.org/10.1038/s41587-019-0104-4 (IF = 68.164, Highly Cited, Hot Paper, Cover Story)

5. Sunde Xu#, Yong-Xin Liu#, Tomislav Cernava#, Hongkai Wang, Shugeng Cao, Yaqi Zhou, Gabriele Berg, Tie Xia, Xing-Xing Shen, Ziyue Wen, Chunshun Li, Baoyuan Qu, Hefei Ruan, Yunrong Chai, Xueping Zhou, Zhonghua Ma, Yan Shi, Yunlong Yu, Yang Bai*, Yun Chen*. (2022). Bacteria within the fungal fruiting-body microbiome reduce fungal infections in cereal by disrupting lipid rafts. Nature Microbiology 7, 831-843, https://doi.org/10.1038/s41564-022-01131-x (IF = 30.964)

6. Jingying Zhang#, Yong-Xin Liu#, Xiaoxuan Guo, Yuan Qin, Ruben Garrido-Oter*, Paul Schulze-Lefert*, Yang Bai*. (2021). High-throughput cultivation and identification of bacteria from the plant root microbiota. Nature Protocols 16, 988-1012, https://doi.org/10.1038/s41596-020-00444-7 (IF = 17.021, Highly Cited,)

7. Yong-Xin Liu, Meng Wang & Xiu-Jie Wang*. (2014). Endogenous small RNA clusters in plants. Genomics Proteomics Bioinformatics 12, 64-71, https://doi.org/10.1016/j.gpb.2014.04.003 (IF = 6.409)

8. Xu-Bo Qian#, Tong Chen#, Yi-Ping Xu, Lei Chen, Fu-Xiang Sun, Mei-Ping Lu* & Yong-Xin Liu. (2020). A guide to human microbiome research: study design, sample collection, and bioinformatics analysis. Chinese Medical Journal, https://doi.org/10.1097/cm9.0000000000000871 (IF = 6.151)

9. Jingying Zhang#, Na Zhang#, Yong-Xin Liu#, Xiaoning Zhang, Bin Hu, Yuan Qin, Haoran Xu, Hui Wang, Xiaoxuan Guo, Jingmei Qian, Wei Wang, Pengfan Zhang, Tao Jin*, Chengcai Chu* & Yang Bai*. (2018). Root microbiota shift in rice correlates with resident time in the field and developmental stage. Science China Life Sciences 61, 613-621, https://doi.org/10.1007/s11427-018-9284-4 (IF = 10.42, Cover Story)

10. Tong Chen, Haiyan Zhang, Yu Liu, Yong-Xin Liu*, Luqi Huang* (2021). EVenn: Easy to create repeatable and editable Venn diagrams and Venn networks online. Journal of Genetics and Genomics, https://doi.org/10.1016/j.jgg.2021.07.007 (IF = 5.733)

11. Tao Wen#, Penghao Xie#, Shengdie Yang, Guoqing Niu, Xiaoyu Liu, Zhexu Ding, Chao Xue, Yong-Xin Liu*, Qirong Shen, Jun Yuan*. (2022). ggClusterNet: An R package for microbiome network analysis and modularity-based multiple network layouts. iMeta 1: e32. https://doi.org/10.1002/imt2.32

12. Tong Chen, Yong-Xin Liu*, Luqi Huang*. (2022). ImageGP: An easy-to-use data visualization web server for scientific researchers. iMeta 1: e5. https://doi.org/10.1002/imt2.5

13. Yong-Xin Liu*, Tong Chen*, Danyi Li, Jingyuan Fu*, Shuang-Jiang Liu*. (2022). iMeta: Integrated meta-omics for biology and environments. iMeta 1: e15. https://doi.org/10.1002/imt2.15

14. Xubo Qian#, Yong-Xin Liu#, Xiaohong Ye, Wenjie Zheng, Shaoxia Lv, Miaojun Mo, Jinjing Lin, Wenqin Wang, Weihan Wang, Xianning Zhang & Meiping Lu*. (2020). Gut microbiota in children with juvenile idiopathic arthritis: characteristics, biomarker identification, and usefulness in clinical prediction. BMC Genomics 21, 286, https://doi.org/10.1186/s12864-020-6703-0 (IF = 4.560)

15. Yong-Xin Liu#, Wei Chang#, Ying-peng Han, Quan Zou, Mao-zu Guo & Wen-bin Li*. (2011). In silico detection of novel microRNAs genes in soybean genome. Agricultural Sciences in China 10, 1336-1345, https://doi.org/10.1016/S1671-2927(11)60126-0 (IF = 4.384)

16. Yong-Xin Liu, Ying-peng Han, Wei Chang, Quan Zou, Mao-zu Guo & Wen-bin Li*. (2010). Genomic analysis of microRNA promoters and their cis-acting elements in soybean. Agricultural Sciences in China 9, 1561-1570, https://doi.org/10.1016/S1671-2927(09)60252-2 (IF = 4.384)

17. Jing Li#, Yong-Xin Liu#, Ying-peng Han, Yong-guang Li, Mao-zu Guo, Wen-bin Li*. (2013). MicroRNA primary transcripts and promoter elements analysis in soybean (Glycine max L. Merril.). Journal of Integrative Agriculture 12, 1522-1529, https://doi.org/10.1016/S2095-3119(13)60500-6 (IF = 4.384)

18. 刘永鑫, 秦媛, 郭晓璇 & 白洋*. (2019). 微生物组数据分析方法与应用. 遗传 41, 845-826, https://doi.org/10.16288/j.yczz.19-222

19. Ancheng C. Huang#, Ting Jiang#, Yong-Xin Liu, Yue-Chen Bai, James Reed, Baoyuan Qu, Alain Goossens, Hans-Wilhelm Nützmann, Yang Bai* & Anne Osbourn*. (2019). A specialized metabolic network selectively modulates Arabidopsis root microbiota. Science 364, eaau6389, https://doi.org/10.1126/science.aau6389 (IF = 63.798, Highly Cited)

20. Evan Bolyen#, Jai Ram Rideout#, Matthew R. Dillon#, Nicholas A. Bokulich#, Christian C. Abnet, Gabriel A. Al-Ghalith, Harriet Alexander, Eric J. Alm, Manimozhiyan Arumugam, Francesco Asnicar, Yang Bai, Jordan E. Bisanz, Kyle Bittinger, Asker Brejnrod, Colin J. Brislawn, C. Titus Brown, Benjamin J. Callahan, Andrés Mauricio Caraballo-Rodríguez, John Chase, Emily K. Cope, Ricardo Da Silva, Christian Diener, Pieter C. Dorrestein, Gavin M. Douglas, Daniel M. Durall, Claire Duvallet, Christian F. Edwardson, Madeleine Ernst, Mehrbod Estaki, Jennifer Fouquier, Julia M. Gauglitz, Sean M. Gibbons, Deanna L. Gibson, Antonio Gonzalez, Kestrel Gorlick, Jiarong Guo, Benjamin Hillmann, Susan Holmes, Hannes Holste, Curtis Huttenhower, Gavin A. Huttley, Stefan Janssen, Alan K. Jarmusch, Lingjing Jiang, Benjamin D. Kaehler, Kyo Bin Kang, Christopher R. Keefe, Paul Keim, Scott T. Kelley, Dan Knights, Irina Koester, Tomasz Kosciolek, Jorden Kreps, Morgan G. I. Langille, Joslynn Lee, Ruth Ley, Yong-Xin Liu, Erikka Loftfield, Catherine Lozupone, Massoud Maher, Clarisse Marotz, Bryan D. Martin, Daniel McDonald, Lauren J. McIver, Alexey V. Melnik, Jessica L. Metcalf, Sydney C. Morgan, Jamie T. Morton, Ahmad Turan Naimey, Jose A. Navas-Molina, Louis Felix Nothias, Stephanie B. Orchanian, Talima Pearson, Samuel L. Peoples, Daniel Petras, Mary Lai Preuss, Elmar Pruesse, Lasse Buur Rasmussen, Adam Rivers, Michael S. Robeson, Patrick Rosenthal, Nicola Segata, Michael Shaffer, Arron Shiffer, Rashmi Sinha, Se Jin Song, John R. Spear, Austin D. Swafford, Luke R. Thompson, Pedro J. Torres, Pauline Trinh, Anupriya Tripathi, Peter J. Turnbaugh, Sabah Ul-Hasan, Justin J. J. van der Hooft, Fernando Vargas, Yoshiki Vázquez-Baeza, Emily Vogtmann, Max von Hippel, William Walters, Yunhu Wan, Mingxun Wang, Jonathan Warren, Kyle C. Weber, Charles H. D. Williamson, Amy D. Willis, Zhenjiang Zech Xu, Jesse R. Zaneveld, Yilong Zhang, Qiyun Zhu, Rob Knight & J. Gregory Caporaso*. (2019). Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nature Biotechnology 37, 852-857, https://doi.org/10.1038/s41587-019-0209-9 (IF = 68.164)

21. Wei Wang#, Jing Yang#, Jian Zhang, Yong-Xin Liu, Caiping Tian, Baoyuan Qu, Chulei Gao, Peiyong Xin, Shujing Cheng, Wenjing Zhang, Pei Miao, Lei Li, Xiaojuan Zhang, Jinfang Chu, Jianru Zuo, Jiayang Li, Yang Bai, Xiaoguang Lei* & Jian-Min Zhou*. (2020). An Arabidopsis secondary metabolite directly targets expression of the bacterial type III secretion system to inhibit bacterial virulence. Cell Host & Microbe 27, 601-613.e607, https://doi.org/10.1016/j.chom.2020.03.004 (IF = 31.316)

22. Leli Wang, Qihang Liu, Yuwei Chen, Xinlei Zheng, Chuni Wang, Yining Qi, Yachao Dong, Yue Xiao, Cang Chen, Taohong Chen, Qiuyun Huang, Zongzhao Zhai, Cimin Long, Huansheng Yang, Jianzhong Li, Lei Wang, Gaihua Zhang, Peng Liao, Yong-Xin Liu, Peng Huang, Jialu Huang, Qiye Wang, Huanhuan Chu, Jia Yin & Yulong Yin. (2022). Antioxidant potential of Pediococcus pentosaceus strains from the sow milk bacterial collection in weaned piglets. Microbiome 10: 83, https://doi.org/s40168-022-01278-z (IF = 16.837)

23. Wei Wang#, Bin Hu#, Dingyang Yuan, Yongqiang Liu, Ronghui Che, Yingchun Hu, Shujun Ou, Zhihua Zhang, Hongru Wang, Hua Li, Zhimin Jiang, Zhengli Zhang, Xiaokai Gao, Yahong Qiu, Xiangbing Meng, Yong-Xin Liu, Yang Bai, Yan Liang, Yi-Qin Wang, Lianhe Zhang, Legong Li, Sodmergen Sodmergen, Hai-Chun Jing, Jiayang Li & Chengcai Chu*. (2018). Expression of the nitrate transporter gene OsNRT1.1A/OsNPF6.3 confers high yield and early maturation in rice. The Plant Cell 30, 638-651, https://doi.org/10.1105/tpc.17.00809 (IF = 12.085, Highly Cited)

24. Maosheng Zheng, Nan Zhou, Shufeng Liu, Chenyuan Dang, Yong-Xin Liu, Shishi He, Yijun Zhao, Wen Liu & Xiangke Wang*. (2019). N2O and NO emission from a biological aerated filter treating coking wastewater: Main source and microbial community. Journal of Cleaner Production 213, 365-374, https://doi.org/10.1016/j.jclepro.2018.12.182 (IF = 11.072)

25. Qingwen Chen#, Ting Jiang#, Yong-Xin Liu, Haili Liu, Tao Zhao, Zhixi Liu, Xiaochao Gan, Asis Hallab, Xuemei Wang, Juan He, Yihua Ma, Fengxia Zhang, Tao Jin, M.Eric Schranz, Yong Wang, Yang Bai* & Guodong Wang*. (2019). Recently duplicated sesterterpene (C25) gene clusters in Arabidopsis thaliana modulate root microbiota. Science China Life Sciences 62, 947-958, https://doi.org/10.1007/s11427-019-9521-2 (IF = 10.42)

26. Handong Su#, Yalin Liu#, Yong‐Xin Liu, Zhenling Lv, Hongyao Li, Shaojun Xie, Zhi Gao, Junling Pang, Xiu‐Jie Wang, Jinsheng Lai & Fangpu Han*. (2016). Dynamic chromatin changes associated with de novo centromere formation in maize euchromatin. Plant Journal 1, 1-17, https://doi.org/10.1111/tpj.13305 (IF = 7.091)

27. Jiao Xi#, Beilei Lei#, Yong-Xin Liu, Zanbo Ding, Jiaxi Liu, Tengqi Xu, Lijun Hou, Siqi Han, Xun Qian, Yongqing Ma, Quanhong Xue, Jinming Gao, Jie Gu*, James M. Tiedje*, Yanbing Lin*. (2022). Microbial community roles and chemical mechanisms in the parasitic development of Orobanche cumana. iMeta 1: e31. https://doi.org/10.1002/imt2.31

28. Xin Zheng#, Likun Wang#, Linhao You, Yong-Xin Liu, Michael Cohen, Siyu Tian, Wenjun Li, Xiaofang Li. (2022). Dietary licorice enhances in vivo cadmium detoxification and modulates gut microbial metabolism in mice. iMeta 1: e7. https://doi.org/10.1002/imt2.7

29. Rong-Min Zhang, Jian Sun, Ruan-Yang Sun, Min-Ge Wang, Chao-Yue Cui, Liang-Xing Fang, Mei-Na Liao, Xiao-Qing Lu, Yong-Xin Liu, Xiao-Ping Liao, Ya-Hong Liu & Wei-Hua Chen. (2021). Source Tracking and Global Distribution of the Tigecycline Non-Susceptible tet(X). Microbiology Spectrum 9: e01164-01121. https://doi.org/10.1128/Spectrum.01164-21 (IF = 9.043)

30. Maosheng Zheng, Shishi He, Yueqi Feng, Mingyuan Wang, Yong-Xin Liu, Chenyuan Dang, Jiawen Wang*. (2021). Active ammonia-oxidizing bacteria and archaea in wastewater treatment systems. Journal of Environmental Sciences 102 273-282 https://doi.org/10.1016/j.jes.2020.09.039 (IF = 6.796)

31. Zhiyao Lv, Rui Dai, Haoran Xu, Yong‐Xin Liu, Bo Bai, Ying Meng, Haiyan Li, Xiaofeng Cao, Yang Bai, Xianwei Song, Jingying Zhang. (2021). The rice histone methylation regulates hub species of the root microbiota. Journal of Genetics and Genomics, https://doi.org/10.1016/j.jgg.2021.06.005  (IF = 5.733)

32. Jun Xu#, Jie-Ni Zhang#, Bo-Hui Sun, Qing Liu, Juan Ma, Qian Zhang, Yong-Xin Liu, Ning Chen* & Feng Chen*. (2021). The role of genotype and diet in shaping gut microbiome in a genetic Vitamin A deficient mouse model. Journal of Genetics and Genomics, https://doi.org/10.1016/j.jgg.2021.08.015 (IF = 5.733)

“#” represents the co-first author, “*” represents the corresponding author, IF is the abbreviation of impact factor of Journal Citation Reports.

刘永鑫课题组更新于2023年9月