战爱斌,男,中国科学院生态环境研究中心研究员,中国科学院大学教授,博士生导师
电子邮件:azhan@rcees.ac.cn
通信地址:北京市海淀区双清路18号
邮政编码:100085


战爱斌博士,中科院生态环境研究中心研究员、博士生导师、分子与进化生态学研究组组长,中科院环境生物技术重点实验室副主任,中国科学院大学资源与环境学院教授;兼任加拿大温莎大学客座教授,中国进出入境生物安全研究会常务理事,中国动物地理学会常务理事;Diversity and Distributions主编​,Biological InvasionsMarine Biology10余本期刊副主编/编委;研究方向为水生入侵生物学和水体污染生态学。迄今发表论文150余篇,SCI收录140余篇,申请专利10余项,出版专著2部;获环境保护科学技术奖一等奖(2021)。


研究兴趣

频繁的人类活动严重影响着生物的地理分布格局,并快速改变着生物赖以生存的栖息地环境。在此背景下,战爱斌团队紧紧围绕着生物与环境互作这一生态学和进化生物学领域重要的科学问题,利用多学科手段在群落、群体及个体水平上开展水生生物对环境变化的适应性进化研究。

课题组开展的主要研究工作:

1、水生入侵生物学:主要开展水生入侵生物早期监测与预警、水生入侵生物扩散模式及快速适应环境的生态学过程与机理、主要致灾致害生物防控原理及应急处置技术等研究。

2、水体污染生态学:主要开展水体污染驱动生物群落时空演替的生态学过程与机制、典型水生生物响应环境污染的分子机理、生物-环境互作的高通量分析方法等研究。


代表论著

Biological invasions

1.       Y. Gao, Y. Chen, S. Li, X. Huang, J. Hu*, D.G. Bock, H.J. MacIsaac, A. Zhan*. Complementary genomic and epigenomic adaptation to environmental heterogeneity. Molecular Ecology, 2022, 31: 3598-3612.

2.       X. Huang, A. Zhan*. Highly dynamic transcriptional reprogramming and shorter isoform shifts under acute stresses during biological invasions. RNA Biology, 2021, 18: 340-353.

3.       S. Li, X. Li, J. Cheng, A. Zhan*. Effectiveness and mechanisms of recoverable magnetic nanoparticles on mitigating golden mussel biofouling. Environmental Science and Technology, 2021, 55: 2500-2510.

4.       Y. Lin, A. Zhan*, M.R. Hernandez, E. Paolucci, H.J. MacIsaac, E. Briski. Can chlorination of ballast water reduce biological invasions? Journal of Applied Ecology, 2020, 57: 331-343.

5.       S. Li, Y. Chen, Y. Gao, Z. Xia, A. Zhan*. Chemical oxidants affect byssus adhesion in the highly invasive fouling mussel Limnoperna fortunei. Science of the Total Environment, 2019, 646: 1367-1375.

6.       X. Huang, S. Li, P. Ni, Y. Gao, B. Jiang, Z. Zhou, A. Zhan*. Rapid response to changing environments during biological invasions: DNA methylation perspectives. Molecular Ecology, 2017, 26: 6621 - 6633.

Molecular Pollution Ecology

1.       Y. Yang, Y. Gao, X. Huang, P. Ni, Y. Wu, Y. Deng, A. Zhan*. Adaptive shifts of microbial communities and reduced microbial interactions along a nitrogen gradient in highly polluted running water ecosystems. Environmental Pollution, 2019, 245: 290-299.

2.       Y. Yang, S. Li, Y. Gao, Y. Chen, A. Zhan*. Environment-driven geographical distribution of bacterial communities and identification of indicator taxa in Songhua River. Ecological Indicators, 2019, 101: 62-70.

3.       W. Xiong, P. Ni, Y. Chen, Y. Gao, S. Li, A. Zhan*. Biological consequences of environmental pollution in running water ecosystems: a case study in zooplankton. Environmental Pollution, 2019, 252: 1483-1490.

4.       Y. Yang, Y. Gao, Y. Chen, S. Li, A. Zhan*. Interactome-based abiotic and biotic impacts on biodiversity of plankton communities in disturbed wetlands. Diversity and Distributions, 2019, 25: 1416-1428.

5.       W. Xiong, P. Ni, Y. Chen, Y. Gao, B. Shan, A. Zhan*. Zooplankton community structure along a pollution gradient at fine geographical scales in river ecosystems: the importance of species sorting over dispersal. Molecular Ecology, 2017, 26: 4351-4360.

Method development and validation

1.       W. Xiong, A. Zhan*. Testing clustering strategies for metabarcoding-based investigation of community-environment interactions. Molecular Ecology Resources, 2018, 18: 1326-1338.

2.       W. Xiong, Y. Yang, A. Zhan*. Reliability of simplifying strategies for rapid biodiversity assessment in studying community-environment interactions. Ecological Indicators, 2018, 85: 861-868.

3.       A. Zhan*, S.A. Bailey, D.D. Heath, H.J. MacIsaac. Performance comparison of genetic markers for high-throughput sequencing-based biodiversity assessment in complex communities. Molecular Ecology Resources, 2014, 14: 1049-1059.

4.       A. Zhan*, S. He, E.A. Brown, F.J.J. Chain, T.W. Therriault, C.L. Abbott, D.D. Heath, M.E. Cristescu, H.J. MacIsaac. Reproducibility of pyrosequencing data for biodiversity assessment in complex communities. Methods in Ecology and Evolution, 2014, 5: 881-890.

5.       A. Zhan*, M. Hulák, F. Sylvester, X. Huang, A.A. Adebayo, C.L. Abbott, S.J. Adamowicz, D.D. Heath, M.E. Cristescu, H.J. MacIsaac. High sensitivity of 454 pyrosequencing for detection of rare species in aquatic communities. Methods in Ecology and Evolution, 2013, 4: 558 - 565. (Editor’s pick article)