周集中,湖南新邵人,国际著名微生物生态学家,美国国家科学院院士,美国艺术与科学院院士,欧洲科学院外籍院士,美国科学促进会会士、美国微生物学会会士、美国土壤科学学会会士、国际水协会会士、美国生态学会会士,俄克拉荷马大学生物科学学院George Lynn Cross研究教授、校长特聘教授、环境基因组学研究所所长、土木工程与环境科学学院及计算机科学学院客座教授。周集中院士在微生物与气候变化、水环境污染反馈机制、生态学理论、宏基因组实验及计算技术等多个领域做出了开创性贡献,是全球前0.1%的高被引学者,在生态与进化领域全球排名第25,全美排名第12, 是2021年路透社世界1000名气候科学家名单中唯一的微生物学家。周集中院士获得过美国东南部大学研究协会“杰出科学家奖”、美国微生物学会 “环境研究奖”和“美国青年科学家总统奖”。周集中院士位列全球环境科学与工程领域前0.1%高被引学者(全球115000余名学者中排名第49位),其开创性工作推动了近二十年来微生物生态学的革命性发展。
奖项
- 2024年获东南大学研究联盟杰出科学家奖——表彰推动合作研究、增强科学能力的杰出研究者
- 2024年获俄克拉荷马大学首届终身成就奖——该校最高学术荣誉,认可具有广泛社会影响力的创新研究
- 2022年获ISME-IWA生物集群大奖——肯定其在微生物生态学与水处理技术交叉研究的重要影响
- 2022年获土壤科学研究奖——表彰在土壤微生物组研究中的杰出贡献
- 2019年获美国微生物学会环境研究奖——表彰其在微生物生态学与环境微生物学领域的突破性研究
- 2014年获美国能源部欧内斯特·奥兰多·劳伦斯奖——美国能源部颁发的联邦科学领域最高奖项之一,获国会特别认可
- 2009年获R&D 100大奖——因开发GeoChip(微生物地球化学循环基因检测芯片)获评"年度百大科技创新"
- 2001年获美国青年科学家总统奖——由美国总统颁发,是美国青年科学家的最高荣誉
- 1996年获美国能源部亚历山大·霍兰德杰出博士后奖——属于美国能源部最高级别博士后奖项
荣誉
- 2025年当选美国国家科学院院士
- 2018至今,入选 Web of Science"高被引科学家",微生物学、环境与生态学双领域全球前0.1%(仅6%高被引学者跨双领域入选)。**
石小娅-周集中环境科学技术研究生/博士后交流奖
设立于俄克拉荷马大学,资助环境科学技术领域的青年学者参与国际学术会议或合作研究。
学术兼职
- 2021年至今,任mLife共同主编
- 2019年至今,任Microbiome和Environmental Microbiome*副主编
- 2017年到2023年,任The ISME Journal高级编辑
- 2014年到2020年,任BMC Microbiology微生物生态与进化栏目主编
- 2009年到2019年,任美国微生物学会旗舰期刊mBio高级编辑
- 2003年到2013年,任Applied and Environmental Microbiology编辑
学术论文
- 气候变化生物学方向:
* Tao et al. 2024. Climate warming accelerates positive soil priming in a temperate grassland ecosystem. Nature Communications*, 15:117
* Zhang et al. 2023. Experimental Warming Leads to Convergent Succession of Grassland Archaeal Community. Nature Climate Change*, 13, 561-569
* Wu et al. 2022. Reduction of microbial diversity in grassland soil is driven by long-term climate warming. Nature Microbiology*, 7, 1054-1062. (top 1% highly cited hot paper)
* Yuan et al. 2021. Climate Warming Enhances Microbial Network Complexity and Stability. Nature Climate Change*, 11:343-348. (top 1% highly cited)
* Gao et al. 2020. Stimulation of soil respiration by elevated CO2 is enhanced under nitrogen limitation in a decade-long grassland study. Proceedings of the National Academy of Sciences*, 117: 33317-33324
* Guo et al. 2020. Gene-informed decomposition model predicts lower soil carbon loss due to persistent microbial adaptation to warming. Nature Communications*, 11, 4897. doi:10.1038/s41467-020-18706-z
* Guo et al. 2019. Climate warming accelerates temporal scaling of grassland soil microbial biodiversity. Nature Ecology & Evolution*, 3, 612-61
* Guo et al. 2018. Climate Warming Leads to Divergent Succession of Grassland Microbial Communities. Nature Climate Change*, 8:813-818 (top 1% highly cited)
* Xue et al. 2016. Tundra soil carbon is vulnerable to rapid microbial decomposition under climate warming. Nature Climate Change*, 6: 595-600 (was top 1% highly cited)
* Zhou et al. 2012. Microbial Mediation of Carbon Cycle Feedbacks to Climate Warming. Nature Climate Change*, 2:106-110. (top 1% highly cited)
* Deysh et al. 1998. Isolation of acidophilic methane-oxidizing bacteria from northern peat wetlands. Science*, 282: 281-284
- 环境修复方向:
* Wu et al. 2019. Global diversity and biogeography of bacterial communities in wastewater treatment plants. Nature Microbiology*, 4:1183-1195. (top 1% highly cited)
* Zhou et al. 2014. Stochasticity, Succession and Environmental Perturbations in a Fluidic Ecosystem. Proceedings of the National Academy of Sciences*, 111: E836-E845. (top 1% highly cited)
* Hazen et al. 2010. Deep-sea oil plume enriches Indigenous oil-degrading bacteria. Science*, 330: 204-208. (top 1% highly cited)
* Xu et al. 2010. Responses of microbial community functional structures to pilot-scale uranium in situ bioremediation. ISME Journal*, 4:1060-1070
* Liu et al. 2003. Transcriptome dynamics of Deinococcus radiodurans recovering from ionizing radiation. Proceedings of the National Academy of Sciences*, 100: 4191-4196
* Liu et al. 1997. Thermophilic Fe(III)-reducing bacteria from the deep subsurface: The evolutionary implications. Science*, 277: 1106-1109
- 理论生态学方向:
* Ning et al. 2024. Environmental stress mediates groundwater microbial community assembly. Nature Microbiology*, 9:490-501. (Top 0.1% highly cited hot paper)
* Buzzard et al. 2019. Continental scale structuring of forest and soil diversity via functional traits. Nature Ecology & Evolution*, 3, 1298-1308
* Zhou and Ning. 2017. Stochastic Community Assembly: Does It Matter in Microbial Ecology? Microbiology and Molecular Biology Reviews*, 81:e00002-17 (top 1% highly cited)
* Zhou et al. 2016. Temperature mediates continental-scale diversity of microbes in forest soils. Nature Communications*, 7:12083, doi:10.1038/ncomms12083 (top 1% highly cited)
* Zhou et al. 2013. Stochastic assembly leads to alternative communities with distinct functions. mBio*, 4: e00584-12
* Zhou et al. 2008. Spatial Scaling of Functional Gene Diversity across Various Microbial Taxa. Proceedings of the National Academy of Sciences*, 105: 7768-7773
* Zhou et al. 2002. Spatial and resource factors influencing high soil microbial diversity. Applied and Environmental Microbiology*, 68: 326-334
- 基因组实验技术方向:
* Zhou et al. 2015. High-Throughput Metagenomic Technologies for Complex Microbial Community Analysis: Open and Closed Formats. mBio*, 6:e02288-14 (top 1% highly cited)
* Zhou et al. 2011. Reproducibility and Quantitation of Amplicon Sequencing-Based Detection. ISME Journal*, 5:1303-1313 (top 1% highly cited)
* Zhou et al. 2013. Random Sampling Process Leads to Overestimation of β-Diversity of Microbial Communities. mBio*, 4: e00324-13.
* He et al. 2007. GeoChip: A comprehensive microarray for investigating biogeochemical, ecological, and environmental processes. ISME Journal*, 1: 67-77 (Among the 5 top-cited papers for the first 10 years of ISME Journal)
* Zhou et al. 1996. DNA recovery from soils of diverse composition. Applied and Environmental Microbiology*, 62: 316-322 (>3,900 citations) (Among the 20 most cited papers in AEM history, since 2008)
- 计算基因组学方向:
* Xiao et al. 2022. Disentangling Direct from Indirect Relationships in Association Networks. Proceedings of the National Academy of Sciences*, 119 No. 2 e2109995119, https://doi.org/10.1073/pnas.2109995119. (top 1% highly cited)
* Ning et al. 2020. A quantitative framework reveals ecological drivers of grassland soil microbial community assembly in response to warming. Nature Communications*, 11:4717. (top 1% highly cited)
* Ning et al. 2019. A General Framework for Quantitatively Assessing Ecological Stochasticity. Proceedings of the National Academy of Sciences*, 116: 16893-16898. (top 1% highly cited)
* Deng et al. 2016. Network succession reveals the importance of competition in response to emulsified vegetable oil amendment for uranium bioremediation. Environmental Microbiology*, 18: 205-218; (top 1% highly cited)
* Deng et al. 2012. Molecular Ecological Network Analyses. BMC Bioinformatics*, 13:113 (top 1% highly cited)
* Zhou et al. 2011. Phylogenetic molecular ecological network of soil microbial communities in response to elevated CO2. mBio*, 2: e00122-11. (top 1% highly cited)
* Zhou et al. 2010. Functional Molecular Ecological Networks. mBio*, 1:e00169-10
参考资料
外部链接
[https://web.archive.org/web/20050405042830/http://www.esd.ornl.gov/people/zhou/zhou.html 俄克拉何马大学环境基因研究所][https://web.archive.org/web/20050405042830/http://www.esd.ornl.gov/people/zhou/zhou.html ]
*[https://web.archive.org/web/20050405042830/http://www.esd.ornl.gov/people/zhou/zhou.html 橡树岭国家实验室对周集中的介绍]
*[http://www.voanews.com/chinese/Archive/a-2002-07-03-18-1.cfm 美国之音的相关报道]
*[https://web.archive.org/web/20050329125345/http://www.edu.cn/20020717/3061748.shtml 中国教育和科研计算机网上的一篇报道]
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