文献类型：期刊文献

英文题名：Integrated Transcriptome and Proteome Studies Reveal the Underlying Mechanisms for Sterol Catabolism and Steroid Production in Mycobacterium neoaurum

作者：Liu, Min[1];Xiong, Liang-Bin[1];Tao, Xinyi[1];Liu, Qing-Hai[1];Wang, Feng-Qing[1];Wei, Dong-Zhi[1]

机构：[1]East China Univ Sci & Technol, New World Inst Biotechnol, State Key Lab Bioreactor Engn, Shanghai 200237, Peoples R China

年份：2018

卷号：66

期号：34

起止页码：9147

外文期刊名：JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY

收录：;EI(收录号：20183605779706);WOS:【SCI-EXPANDED(收录号:WOS:000443653900026)】；

基金：This work was financially supported by the National Natural Science Foundation of China (21776075) and the Fundamental Research Funds for the Central Universities (22221818014). The authors sincerely thank T. Parish (Department of Infectious and Tropical Diseases, London, U.K.) for providing p2NIL and W. R. Jacobs, Jr. (Howard Hughes Medical Institute, Chevy Chase, MD, U.S.A.) for providing pMV261.

语种：英文

外文关键词：sterol catabolism; transcriptome; proteome; Mycobacterium

摘要：Integrated transcriptome and proteome studies were performed to investigate sterol biotransformation in wild-type Mycobacterium neoaurum ATCC 25795 (Mn) and the mutant strains producing steroid intermediates. Transcriptome and proteome studies indicated that several metabolic activities were noticeably dynamic, including cholesterol degradation, central carbon metabolism, cell envelope biosynthesis, glycerol metabolism, and transport. Interestingly, a poor overall correlation between mRNA and translation profiles was found, which might contribute to the metabolic adaptation in cholesterol catabolism. A gene cluster covering 111 genes was discovered to encode for cholesterol catabolism in Mn. Generally, transcription and/or translation of the genes in KstR1 regulon was upregulated, and the induction of genes in KstR2 regulon was not as significant as that of KstR1 regulon. Several induced genes showing potential roles for cholesterol catabolism were found. Further identification of these genes and investigation of the correlation among key metabolic activities could help for the development of efficient steroid-producing strains.