Xiao Men

Dr. Xiao Men


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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Verified
Journal Article
Open access
PDF file
XMXiao Men
Xiao Men
FWFan Wang
Fan Wang
GCGuoqiang Chen
Guoqiang Chen
HZHaibo Zhang
Haibo Zhang
MXMo Xian
Mo Xian
Natural rubber is a kind of indispensable biopolymers with great use and strategic importance in human society. However, its production relies almost exclusively on rubber-producing plants Hevea brasiliensis, which have high requirements for growth conditions, and the mechanism of natural rubber biosynthesis remains largely unknown. In the past two decades, details of the rubber chain polymerization and proteins involved in natural rubber biosynthesis have been investigated intensively. Meanwhile, omics and other advanced biotechnologies bring new insight into rubber production and development of new rubber-producing plants. This review summarizes the achievements of the past two decades in understanding the biosynthesis of natural rubber, especially the massive information obtained from the omics analyses. Possibilities of natural rubber biosynthesis in vitro or in genetically engineered microorganisms are also discussed.

10 November 2018 in AMB Express
Verified
Journal Article
Open access
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FWFan Wang
Fan Wang
XMXiao Men
Xiao Men
GZGe Zhang
Ge Zhang
KLKaichao Liang
Kaichao Liang
YXYuhua Xin
Yuhua Xin
LWLijun Wu
Lijun Wu
Selection of optimal primer pairs in 16S rRNA gene sequencing is a pivotal issue in microorganism diversity analysis. However, limited effort has been put into investigation of specific primer sets for analysis of the bacterial diversity of aging flue-cured tobaccos (AFTs), as well as prediction of the function of the bacterial community. In this study, the performance of four primer pairs in determining bacterial community structure based on 16S rRNA gene sequences in AFTs was assessed, and the functions of genes were predicted using Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt). Results revealed that the primer set 799F–1193R covering the amplification region V5V6V7 gave a more accurate picture of the bacterial community structure of AFTs, with lower co-amplification levels of chloroplast and mitochondrial genes, and more genera covered than when using the other primers. In addition, functional gene prediction suggested that the microbiome of AFTs was involved in kinds of interested pathways. A high abundance of functional genes involved in nitrogen metabolism was detected in AFTs, reflecting a high level of bacteria involved in degrading harmful nitrogen compounds and generating nitrogenous nutrients for others. Additionally, the functional genes involved in biosynthesis of valuable metabolites and degradation of toxic compounds provided information that the AFTs possess a huge library of microorganisms and genes that could be applied to further studies. All of these findings provide a significance reference for researchers working on the bacterial diversity assessment of tobacco-related samples.

25 January 2018 in Biotechnology for Biofuels
Verified
Journal Article
Open access
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CLChangqing Liu
Changqing Liu
XMXiao Men
Xiao Men
HCHailin Chen
Hailin Chen
MLMeijie Li
Meijie Li
ZDZhaorui Ding
Zhaorui Ding
MXMo Xian
Mo Xian
Styrene is a versatile commodity petrochemical used as a monomer building-block for the synthesis of many useful polymers. Although achievements have been made on styrene biosynthesis in microorganisms, several bottleneck problems limit factors for further improvement in styrene production. A two-step styrene biosynthesis pathway was developed and introduced into Escherichia coli BL21(DE3). Systematic optimization of styrene biosynthesis, such as enzyme screening, codon and plasmid optimization, metabolic flow balance, and in situ fermentation was performed. Candidate isoenzymes of the rate-limiting enzyme phenylalanine ammonia lyase (PAL) were screened from Arabidopsis thaliana (AtPAL2), Fagopyrum tataricum (FtPAL), Petroselinum crispum (PcPAL), and Artemisia annua (AaPAL). After codon optimization, AtPAL2 was found to be the most effective one, and the engineered strain was able to produce 55 mg/L styrene. Subsequently, plasmid optimization was performed, which improved styrene production to 103 mg/L. In addition, two upstream shikimate pathway genes, aroF and pheA, were overexpressed in the engineered strain, which resulted in styrene production of 210 mg/L. Subsequently, combined overexpression of tktA and ppsA increased styrene production to 275 mg/L. Finally, in situ product removal was used to ease the burden of end-product toxicity. By using isopropyl myristate as a solvent, styrene production reached a final titer of 350 mg/L after 48 h of shake-flask fermentation, representing a 636% improvement, which compared with that achieved in the original strain. This present study achieved the highest titer of de novo production of styrene in E. coli at shake-flask fermentation level. These results obtained provided new insights for the development of microbial production of styrene in a sustainable and environment friendly manner.

24 April 2020 in Biotechnology for Biofuels
Verified
Journal Article
Open access
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TWTong Wu
Tong Wu
JLJinfeng Liu
Jinfeng Liu
MLMeijie Li
Meijie Li
GZGe Zhang
Ge Zhang
LLLijuan Liu
Lijuan Liu
HZHaibo Zhang
Haibo Zhang
Background: Biosynthesis of sabinene, a bicyclic monoterpene, has been accomplished in engineered microorganisms by introducing heterologous pathways and using renewable sugar as a carbon source. However, the efficiency and titers of this method are limited by the low host tolerance to sabinene (in both eukaryotes and prokaryotes).Results: In this study,Escherichia coliBL21(DE3) was selected as the strain for adaptive laboratory evolution. The strain was evolved by serial passaging in the medium supplemented with gradually increasing concentration of sabinene, and the evolved strain XYF(DE3), which exhibited significant tolerance to sabinene, was obtained. Then, XYF(DE3) was used as the host for sabinene production and an 8.43-fold higher sabinene production was achieved compared with the parental BL21(DE3), reaching 191.76 mg/L. Whole genomes resequencing suggested the XYF(DE3) strain is a hypermutator. A comparative analysis of transcriptomes of XYF(DE3) and BL21(DE3) was carried out to reveal the mechanism underlying the improvement of sabinene tolerance, and 734 up-regulated genes and 857 down-regulated genes were identified. We further tested the roles of the identified genes in sabinene tolerance via reverse engineering. The results demonstrated that overexpressions ofybcKgene of the DLP12 family, the inner membrane protein geneygiZ, and the methylmalonyl-CoA mutase genescpAcould increase sabinene tolerance of BL21(DE3) by 127.7%, 71.1%, and 75.4%, respectively. Furthermore, scanning electron microscopy was applied to monitor cell morphology. Under sabinene stress, the parental BL21(DE3) showed increased cell length, whereas XYF(DE3) showed normal cell morphology. In addition, overexpression ofybcK,ygiZorscpAcould partially rescue cell morphology under sabinene stress and overexpression ofygiZorscpAcould increase sabinene production in BL21(DE3).Conclusions: This study not only obtained a sabinene-tolerant strain for microbial production of sabinene but also revealed potential regulatory mechanisms that are important for sabinene tolerance. In addition, for the first time,ybcK, ygiZ, andscpAwere identified to be important for terpene tolerance inE. coliBL21(DE3).

12 November 2022 in Brazilian Journal of Microbiology
Verified
Journal Article
Closed access
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GCGuoqiang Chen
Guoqiang Chen
ZXZhenxiang Xu
Zhenxiang Xu
FWFan Wang
Fan Wang
LLLijuan Liu
Lijuan Liu
YWYuxi Wei
Yuxi Wei
HZHaibo Zhang
Haibo Zhang

1 October 2025 in International Journal of Biological Macromolecules
Verified
Journal Article
Closed access
QCQingqing Chen
Qingqing Chen
QXQi Xin
Qi Xin
SDSheng Dong
Sheng Dong
XGXin Ge
Xin Ge
XMXiao Men
Xiao Men
HZHaibo Zhang
Haibo Zhang