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LIPING ZHAO, Prof
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Laboratory of Molecular Microbial Ecology and Ecogenomics, Shanghai Jiao Tong University |
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Board Member of The International Society for Microbial
Ecology |
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School of Life Sciences and Biotechnology Shaghai Jiao Tong University |
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Shanghai, 200240 |
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China |
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Tel: +86 21 34204877 |
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Email:
lpzhao@sjtu.edu.cn |
Prof Liping Zhao has led his research team to become one of the few pioneers in China to apply molecular and genomic tools for understanding structure-function relationship of complex microbial communities in soils, wastewater treatment plants, and animal guts. This group has published more than 40 papers in biological control of plant diseases, microbial ecology of soils, wastewater treatment plants, and animal guts. They have contributed to several technological innovations. They improved the PCR-DGGE technology for structural analysis of complex microbial communities by providing an effective way to eliminate single strand DNA for high quality image of PCR-DGGE fingerprinting and high fidelity retrieving of sequences from interested bands. This group also developed a metagenomic fingerprinting technology, based on long primer RAPD and community DNA hybridization to identify, clone, and sequence genomic fragments of key populations commonly shared by some related communities, e.g. healthy human guts as physical markers for these populations. This research team has monitored and dissected community structures of many important systems, such as a quinoline degrading denitrifying reactor, gut flora of cotton ball worm and tobacco buckworm, gut flora of giant panda etc. also they have established a human-flora associated piglet model for gut ecology and metabolism research; and developed one effective probiotic product, which can be used to prevent and treat diarrhea caused by enterotoxigenic E. coli as an alternative to conventional antibiotic treatment. Currently this group focuses on understanding and manipulation of complex microbial communities at systems levels with metabonomics, metagenomics and multivariate statistics as major tools.
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