Feng JU, Ph.D.

School of Engineering

Environmental Microbiome and Biotechnology Laboratory (EMBLab)

CONTACT

Email: jufeng@westlake.edu.cn

Website: http://www.ju-emblab.com/

Feng JU, Ph.D.

School of Engineering

Environmental Microbiome and Biotechnology Laboratory (EMBLab)

CONTACT

Email: jufeng@westlake.edu.cn

Website: http://www.ju-emblab.com/

"If I have seen further than others, it is by standing upon the shoulders of giants” (Sir Isaac Newton): We wish to build the Westlake Institute for Advanced Study as the cradle of future academic giants and industry elites through our joint unremitting efforts."


Biography

Dr. Feng Ju is an assistant professor at the Division of Environment and Resources, Westlake University, Hangzhou, China. He received his PhD’s degree in Environmental Engineering from HKU in 2015, followed by a 3-year postdoctoral experience at EAWAG, Switzerland. His research interests span multidisciplinary fields from environmental biotechnology, microbiology to metagenomics and bioinformatics, with a focus on engineered microbiomes and antibiotic resistance. He received the 2018 Young Scientist Awards for Microbial Ecology by Ecological Society of China (ESC), 2016 Young Scientist Awards by HKIS, and the 2014-2015 Award for Outstanding Research Postgraduate Student by HKU. He serves as an editorial member of Engineering (Transcations of CAE) and Frontiers in Microbiology (Frontiers), an international expert reviewer for the Natural Sciences and Engineering Research Council of Canada (NSERC), a chair of the Microbial Ecology meeting of Engineering Biology, Royal Society (April, 2020), a member of International Society for Microbial Ecology (ISME), International Water Association (IWA) and Ecological Society of China (ESC), and a reviewer for over 15 peer-review international journals.

 

Research

Metagenomics is the key to opening the door to the unknown microbial life. By directly acquiring all genetic material, DNA sequencing and bioinformatics analysis of environmental samples, metagenomics has intricately evaded the international problem that most environmental microorganisms cannot be readily cultivated under laboratory conditions, and opened up knowledge of species and genetic diversity in natural and engineered microbial communities, pointing the way for discovering new species, exploring the origin and evolution of life, discovering new biological enzymes and active substances, unraveling microbe-environment interactions and developing new tools for microbial analysis.


Our group is interested in the development and application of the state-of-the-art metagenomic and metatranscriptomic approaches, analytical chemistry, stable isotope probing, microfluidics, and other emerging methods and technologies for improved understanding of microbially-mediated pollutants biodegradation, bioresource recovery, and antibiotic resistance. The aim is to achieve more efficient pollutant degradation and resource recovery, elucidate the nexus between microbiome, environment and processing functioning, and to engineer microbiome for improved bioremediation, biosynthesis and bioresource recovery.

 

Representative Publications

1. Zhang RS#, He YZ#, Yao LX#, Chen J, Zhu SH, Rao XX, Tang PY, You J, Hua GQ, Zhang L, Ju F*, Wu LF*. 2021. Metformin chlorination byproducts in drinking water exhibit marked toxicities of a potential health concern. Environment International (146)106244.

2. Lee J, Ju F, Maile-Moskowitz A, Beck K, Maccagna A,  McArdell C, Molin MD, Fenicia F, Vikesland P, Pruden A, Stamm, C, Buergmann H. 2021. Unraveling the riverine antibiotic resistome: the downstream fate of anthropogenic inputs. Water Research. (197)117050

3. Hu WC, Liang JS, Ju F, Wang QJ, Liu RP, Bai YH*, Liu HJ, Qu JH, 2020. Metagenomics unravels differential microbiome composition and metabolic potential in rapid sandfilters purifying surface water versus groundwater. Environmental Science & Technology. 2020, 54, 8, 5197-5206.

4. Ju F, Beck K, Yin X, McArdell Christa, Singer H, Johnson D, Zhang T, Buergmann H *. 2019. Wastewater treatment plant resistomes are shaped by bacterial composition, genetic exchange and up-regulated expression in the effluent. The ISME Journal  13 (2), 346

5. Zhao F#, Ju F#, Huang K, Mao Y, Zhang XX, Ren H, Zhang T. 2019. Comprehensive insights into the key components of bacterial assemblages in pharmaceutical wastewater treatment plants. Science of The Total Environment 651, 2148-2157.

6. Ju F, Wang Y, Zhang T. 2018. Bioreactor microbial ecosystems with differentiated methanogenic phenol biodegradation and competitive metabolic pathways unraveled with genome-resolved metagenomics. Biotechnology for Biofuels 11 (1), 135

7. Jiang XT, Ye L, Ju F, Wang YL, Zhang T*. 2018. Toward an intensive longitudinal understanding of activated sludge bacterial assembly and dynamics.Environmental Science & Technology. 52 (15), 8224-8232

8. Ju F, Lau, F, Zhang T. 2017. Linking microbial community, environmental variables and methanogenesis in anaerobic biogas digesters of chemically enhanced primary treatment sludge. Environmental Science & Technology. 51 (7), 3982-3992

9. Ju F, Li B, Ma LP, Wang YB, Huang DP, Zhang T. 2016. Antibiotic resistance genes and human bacterial pathogens: co-occurrence, removal, and enrichment in municipal sewage sludge digesters. Water Research. 91, 1-10

10. Ju F, Wang YB, Lau FTK, Fung WC, Huang DP, Xia Y, Zhang T. 2016. Anaerobic digestion of chemically enhanced primary treatment (CEPT) sludge and the microbial community structure. Applied Microbiology and Biotechnology. 100 (20), 8975-8982

11. Ju F, Zhang T. 2015. Bacterial assembly and temporal dynamics in activated sludge of a full-scale municipal wastewater treatment plant. The ISME Journal. 9: 683-695

12. Ju F, Zhang T. 2015. Experimental design and bioinformatics analysis for the application of metagenomics in environmental sciences and biotechnology. Environmental Science & Technology. 49(21), 12628-12640

13. Li B#,· Ju F# ,·Cai L ,·Zhang T. 2015. Profile and fate of bacterial pathogens in sewage treatment plants revealed by high-throughput metagenomic approach. Environmental Science & Technology. 49 (17), 10492–10502 (#equal contribution)

14. Ju F, Xia Y, Guo F, Wang ZP, Zhang T. 2014. Taxonomic relatedness shapes bacterial assembly in activated sludge of globally distributed wastewater treatment plants. Environmental Microbiology. 16(8):2421-2432

15. Ju F, Guo F, Ye L, Xia Y, Zhang T. 2014. Metagenomic analysis on seasonal microbial variations of activated sludge from a full-scale wastewater treatment plant over 4 years. Environmental microbiology reports 6 (1), 80-89