Lirong Yang

Prof. Lirong Yang


Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 July 2014 in Microbial Cell Factories
Verified
Journal Article
Open access
PDF file
ZWZhiqiang Wen
Zhiqiang Wen
MWMianbin Wu
Mianbin Wu
YLYijun Lin
Yijun Lin
LYLirong Yang
Lirong Yang
JLJianping Lin
Jianping Lin
PCPeilin Cen
Peilin Cen
Butanol is an industrial commodity and also considered to be a more promising gasoline substitute compared to ethanol. Renewed attention has been paid to solvents (acetone, butanol and ethanol) production from the renewable and inexpensive substrates, for example, lignocellulose, on account of the depletion of oil resources, increasing gasoline prices and deteriorating environment. Limited to current tools for genetic manipulation, it is difficult to develop a genetically engineered microorganism with combined ability of lignocellulose utilization and solvents production. Mixed culture of cellulolytic microorganisms and solventogenic bacteria provides a more convenient and feasible approach for ABE fermentation due to the potential for synergistic utilization of the metabolic pathways of two organisms. But few bacteria pairs succeeded in producing biobutanol of high titer or high productivity without adding butyrate. The aim of this work was to use Clostridium cellulovorans 743B to saccharify lignocellulose and produce butyric acid, instead of adding cellulase and butyric acid to the medium, so that the soluble sugars and butyric acid generated can be subsequently utilized by Clostridium beijerinckii NCIMB 8052 to produce butanol in one pot reaction.

11 February 2025 in Nature Communications
Verified
Journal Article
Open access
PDF file
QZQiang Zhang
Qiang Zhang
WCWanyi Chen
Wanyi Chen
MQMing Qin
Ming Qin
YWYuhao Wang
Yuhao Wang
ZPZhongji Pu
Zhongji Pu
Haoran YuHaoran Yu
Haoran Yu
Traditional protein engineering methods, such as directed evolution, while effective, are often slow and labor-intensive. Advances in machine learning and automated biofoundry present new opportunities for optimizing these processes. This study devises a protein language model-enabled automatic evolution platform, a closed-loop system for automated protein engineering within the Design-Build-Test-Learn cycle. The protein language model ESM-2 makes zero-shot prediction of 96 variants to initiate the cycle. The biofoundry constructs and evaluates these variants, and feeds the results back to a multi-layer perceptron to train a fitness predictor, which then makes prediction of second round of 96 variants with improved fitness. With the tRNA synthetase as a model enzyme, four-rounds of evolution carried out within 10 days lead to mutants with enzyme activity improved by up to 2.4-fold. Our system significantly enhances the speed and accuracy of protein evolution, driving faster advancements in protein engineering for industrial applications.

13 March 2018 in Microbial Cell Factories
Verified
Journal Article
Open access
PDF file
JSJun Sun
Jun Sun
QWQingzhuo Wang
Qingzhuo Wang
YJYu Jiang
Yu Jiang
ZWZhiqiang Wen
Zhiqiang Wen
LYLirong Yang
Lirong Yang
SYSheng Yang
Sheng Yang
The soil bacterium Pseudomonas putida KT2440 is a “generally recognized as safe”-certified strain with robust property and versatile metabolism. Thus, it is an ideal candidate for synthetic biology, biodegradation, and other biotechnology applications. The known genome editing approaches of Pseudomonas are suboptimal; thus, it is necessary to develop a high efficiency genome editing tool. In this study, we established a fast and convenient CRISPR–Cas9 method in P. putida KT2440. Gene deletion, gene insertion and gene replacement could be achieved within 5 days, and the mutation efficiency reached > 70%. Single nucleotide replacement could be realized, overcoming the limitations of protospacer adjacent motif sequences. We also applied nuclease-deficient Cas9 binding at three locations upstream of enhanced green fluorescent protein (eGFP) for transcriptional inhibition, and the expression intensity of eGFP reduced to 28.5, 29.4, and 72.1% of the control level, respectively. Furthermore, based on this CRISPR–Cas9 system, we also constructed a CRISPR–Cpf1 system, which we validated for genome editing in P. putida KT2440. In this research, we established CRISPR based genome editing and regulation control systems in P. putida KT2440. These fast and efficient approaches will greatly facilitate the application of P. putida KT2440.

25 February 2021 in ACS Catalysis
Verified
Journal Article
Closed access
WZWenlong Zheng
Wenlong Zheng
HYHaoran Yu
Haoran Yu
SFSai Fang
Sai Fang
KCKaitong Chen
Kaitong Chen
ZWZhe Wang
Zhe Wang
JWJianping Wu
Jianping Wu

1 September 2015 in Metabolic Engineering
Verified
Journal Article
Closed access
Buli SuBuli Su
Buli Su
MWMianbin Wu
Mianbin Wu
ZZZhe Zhang
Zhe Zhang
JLJianping Lin
Jianping Lin
LYLirong Yang
Lirong Yang

24 October 2022 in ACS Catalysis
Verified
Journal Article
Closed access
ZWZiyuan Wang
Ziyuan Wang
HZHaisheng Zhou
Haisheng Zhou
Haoran YuHaoran Yu
Haoran Yu
ZPZhongji Pu
Zhongji Pu
JXJinling Xu
Jinling Xu
LYLirong Yang
Lirong Yang