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通过核糖体测序(Ribo-seq)和RNA测序(RNA-seq)综合分析对枯草芽孢杆菌中外源蛋白高效分泌的新见解。

New insights into the efficient secretion of foreign protein in Bacillus subtilis via Ribo-seq and RNA-seq integrative analyses.

作者信息

Miao Huabiao, Xiang Xia, Cheng Ling, Wu Qian, Huang Zunxi

机构信息

School of Life Science, Yunnan Normal University, Kunming, 650500, China.

Engineering Research Center for Efficient Utilization of Characteristic Biological Resources in Yunnan, Ministry of Education, Kunming, 650500, China.

出版信息

BMC Microbiol. 2024 Dec 23;24(1):537. doi: 10.1186/s12866-024-03700-y.

DOI:10.1186/s12866-024-03700-y
PMID:39716050
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11665238/
Abstract

BACKGROUND

As an important prokaryotic model organism, Bacillus subtilis has been widely used in the industrial production of a variety of target products. The efficient secretion of target products has always been the main purpose of industrial microbial technology. The modification of gene regulatory networks is an important technical means to construct a factory of microbial cells that efficiently secretes target products. However, the regulatory network of the efficient expression of foreign genes in B. subtilis has not been studied at the translation level.

RESULTS

In this study, Ribo-seq and RNA-seq technology were used to study the changes in differentially expressed genes during the efficient secretion of the protease PB92 by B. subtilis WB600, and the results revealed the gene regulatory network related to efficient secretion of foreign protein. The results revealed that the correlation between the differentially expressed genes of B. subtilis at the transcription and translation levels was only 0.5354. Forty-one common (transcription and translation) and 436 unique (translation) key differential gene sets that may be related to the efficient secretion of foreign proteins were revealed. KEGG enrichment analysis of these key gene sets revealed that they were involved mainly in the cell motility and central metabolic regulatory network of B. subtilis.

CONCLUSION

Our study provides important guidance for the construction of cell factories and metabolic networks for the efficient secretion of target products by B. subtilis.

摘要

背景

枯草芽孢杆菌作为一种重要的原核模式生物,已被广泛应用于多种目标产物的工业生产。目标产物的高效分泌一直是工业微生物技术的主要目的。基因调控网络的改造是构建高效分泌目标产物的微生物细胞工厂的重要技术手段。然而,枯草芽孢杆菌中外源基因高效表达的调控网络在翻译水平上尚未得到研究。

结果

在本研究中,利用核糖体测序(Ribo-seq)和RNA测序(RNA-seq)技术研究了枯草芽孢杆菌WB600高效分泌蛋白酶PB92过程中差异表达基因的变化,结果揭示了与外源蛋白高效分泌相关的基因调控网络。结果显示,枯草芽孢杆菌差异表达基因在转录水平和翻译水平的相关性仅为0.5354。揭示了41个可能与外源蛋白高效分泌相关的共同(转录和翻译)关键差异基因集和436个独特(翻译)关键差异基因集。对这些关键基因集的KEGG富集分析表明,它们主要参与枯草芽孢杆菌的细胞运动性和中心代谢调控网络。

结论

我们的研究为构建枯草芽孢杆菌高效分泌目标产物的细胞工厂和代谢网络提供了重要指导。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe83/11665238/b11bebc032f3/12866_2024_3700_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe83/11665238/60b68f01e47c/12866_2024_3700_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe83/11665238/350dde9403e5/12866_2024_3700_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe83/11665238/139bc7a68330/12866_2024_3700_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe83/11665238/0b78b2bfc365/12866_2024_3700_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe83/11665238/b11bebc032f3/12866_2024_3700_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe83/11665238/60b68f01e47c/12866_2024_3700_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe83/11665238/dec95169611f/12866_2024_3700_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe83/11665238/2c22e8b4d6e1/12866_2024_3700_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe83/11665238/947eda4ee5ab/12866_2024_3700_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe83/11665238/bbbc487a2899/12866_2024_3700_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe83/11665238/350dde9403e5/12866_2024_3700_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe83/11665238/139bc7a68330/12866_2024_3700_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe83/11665238/0b78b2bfc365/12866_2024_3700_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe83/11665238/b11bebc032f3/12866_2024_3700_Fig9_HTML.jpg

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