1.Construction and application of an inducible transcriptional regulatory tool from Medicago truncatula in Saccharomyces cerevisiae.
Meilin FENG ; Caifang SHI ; Ying WANG ; Chun LI
Chinese Journal of Biotechnology 2025;41(1):363-375
Transcriptional regulation based on transcription factors is an effective regulatory method widely used in microbial cell factories. Currently, few naturally transcriptional regulatory elements have been discovered from Saccharomyces cerevisiae and applied. Moreover, the discovered elements cannot meet the demand for specific metabolic regulation of exogenous compounds due to the high background expression or narrow dynamic ranges. There are abundant transcriptional regulatory elements in plants. However, the sequences and functions of most elements have not been fully characterized and optimized. Particularly, the applications of these elements in microbial cell factories are still in the infancy stage. In this study, natural regulatory elements from Medicago truncatula were selected, including the transcription factors MtTASR2 and MtTASR3, along with their associated promoter ProHMGR1, for functional characterization and engineering modification. We constructed an inducible transcriptional regulation tool and applied it in the regulation of heterologous β-carotene synthesis in S. cerevisiae, which increased the β-carotene production by 7.31 folds compared with the original strain. This study demonstrates that plant-derived transcriptional regulatory elements can be used to regulate the expression of multiple genes in S. cerevisiae, providing new strategies and ideas for the specific regulation and application of these elements in microbial cell factories.
Medicago truncatula/metabolism*
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Saccharomyces cerevisiae/metabolism*
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Transcription Factors/genetics*
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beta Carotene/biosynthesis*
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Promoter Regions, Genetic/genetics*
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Gene Expression Regulation, Plant
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Metabolic Engineering/methods*
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Regulatory Elements, Transcriptional/genetics*
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Plant Proteins/genetics*
2.Full-length cDNA cloning and bioinformatics analysis of PnUGT1 gene in Panax notoginseng.
Li XIANG ; Xu GUO ; Yun-yun NIU ; Shi-lin CHEN ; Hong-mei LUO
Acta Pharmaceutica Sinica 2012;47(8):1085-1091
After searching the transcriptome dataset of Panax notoginseng, one unique sequence Pn02086 encoding UDP-glucosyltransferase (UGT), which may be involved in triterpene saponin biosynthesis, was discovered. The open reading frame of the UGT gene, named as PnUGT1, was cloned by 5'-RACE and RT-PCR method from P. notoginseng. The GenBank accession number for this gene is JX018210. The bioinformatic analysis of this gene and its corresponding protein was performed. The PnUGT1 gene contains a 1488 bp open reading frame and encodes a predicted protein of 495 amino acids. The molecular weight is 55.453 kD and the protein is unstable. In the secondary structure, the percentage of alpha helix, beta turn, random coil were 36.16%, 11.31%, 52.53%, respectively. The PnUGT1 contains 7 conserved domains predicted by InterProScan, including PSPG-box which is a unique consensus sequence of glycosyltransferases involved in plant secondary metabolism. The PnUGT1 was most likely to be located in the cytoplasm, without signal peptide and transmembrane region. Sequence alignment and phylogenetic analysis demonstrated that PnUGT1 had relative close relationship to the triterpene UDP-glucosyltransferase of Medicago truncatula (AAW56092), with the 66% similarity of conserved domain PSPG-box. PnUGT1 was more abundant in P. notoginseng leaf than in flower, stem and root. Therefore, PnUGT1 gene may be involved in notoginsenoside biosynthesis.
Amino Acid Sequence
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Cloning, Molecular
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Computational Biology
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DNA, Complementary
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genetics
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DNA, Plant
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genetics
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Gene Expression Regulation, Plant
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Glucosyltransferases
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genetics
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metabolism
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Medicago truncatula
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genetics
;
metabolism
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Molecular Sequence Data
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Open Reading Frames
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Panax notoginseng
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enzymology
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genetics
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Phylogeny
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Plant Leaves
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enzymology
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Plants, Medicinal
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enzymology
;
genetics
;
Protein Structure, Secondary
;
Sequence Alignment

Result Analysis
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