Literature DB >> 30986511

Metabolic engineering of the type I methanotroph Methylomonas sp. DH-1 for production of succinate from methane.

Diep Thi Ngoc Nguyen1, Ok Kyung Lee1, Susila Hadiyati2, Azka Nur Affifah2, Min Sik Kim3, Eun Yeol Lee4.   

Abstract

Methane-utilizing methanotrophs are fascinating systems for methane bioconversion. Methylomonas sp. DH-1, a novel type I methanotroph isolated from brewery sludge, has been evaluated as a promising candidate for an industrial bio-catalyst. Succinate has been considered one of the top building block chemicals for the agricultural, food, and pharmaceutical industries. In this study, Methylomonas sp. DH-1 was engineered to accumulate succinate as a desired product. The TCA cycle and enzymes diverting carbon flux to acetate or formate were modified or deleted to improve succinate productivity. By deleting succinate dehydrogenase (sdh) in the TCA cycle, succinate production increased dramatically ∼10 times compared to that of the wild type. In addition, the maximum succinate titer of ∼134 mg/L (DS-GL) was achieved by integrating glyoxylate shunt enzymes from the E. coli MG1655 strain. Pyruvate formate lyase (pfl) and acetate kinase-phosphotransacetylase (ack-pta) genes were disrupted to further concentrate carbon flux to the TCA cycle. However, these additional disruptions of competitive pathways did not affect cell growth or succinate production positively. The mutant strain DS-GL, which showed the best succinate production, was grown in a fed-batch bioreactor, and higher cell growth and succinate production (∼195 mg/L succinate with 0.0789 g-succinate/g-methane yield) were achieved. In this study, we demonstrated a novel platform for microbial conversion of methane to succinate using methanotroph.
Copyright © 2019 International Metabolic Engineering Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Metabolic engineering; Methane; Methanotroph; Methylomonas sp. DH-1; Succinate production

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Year:  2019        PMID: 30986511     DOI: 10.1016/j.ymben.2019.03.013

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  6 in total

1.  Genome-scale revealing the central metabolic network of the fast growing methanotroph Methylomonas sp. ZR1.

Authors:  Wei Guo; Yang Li; Ronglin He; Wuxi Chen; Feng Gao; Demao Li; Xiaoping Liao
Journal:  World J Microbiol Biotechnol       Date:  2021-01-16       Impact factor: 3.312

2.  Systems Metabolic Engineering of Methanotrophic Bacteria for Biological Conversion of Methane to Value-Added Compounds.

Authors:  Shuqi Guo; Diep Thi Ngoc Nguyen; Tin Hoang Trung Chau; Qiang Fei; Eun Yeol Lee
Journal:  Adv Biochem Eng Biotechnol       Date:  2022       Impact factor: 2.635

3.  Identification of efficient prokaryotic cell-penetrating peptides with applications in bacterial biotechnology.

Authors:  Hyang-Mi Lee; Jun Ren; Kha Mong Tran; Byeong-Min Jeon; Won-Ung Park; Hyunjoo Kim; Kyung Eun Lee; Yuna Oh; Myungback Choi; Dae-Sung Kim; Dokyun Na
Journal:  Commun Biol       Date:  2021-02-15

4.  Boosting the acetol production in methanotrophic biocatalyst Methylomonas sp. DH-1 by the coupling activity of heteroexpressed novel protein PmoD with endogenous particulate methane monooxygenase.

Authors:  Tin Hoang Trung Chau; Anh Duc Nguyen; Eun Yeol Lee
Journal:  Biotechnol Biofuels Bioprod       Date:  2022-01-17

5.  Integrative Genome-Scale Metabolic Modeling Reveals Versatile Metabolic Strategies for Methane Utilization in Methylomicrobium album BG8.

Authors:  Juan C Villada; Maria F Duran; Chee Kent Lim; Lisa Y Stein; Patrick K H Lee
Journal:  mSystems       Date:  2022-03-08       Impact factor: 7.324

6.  Efficient production of d-lactate from methane in a lactate-tolerant strain of Methylomonas sp. DH-1 generated by adaptive laboratory evolution.

Authors:  Jong Kwan Lee; Sujin Kim; Wonsik Kim; Sungil Kim; Seungwoo Cha; Hankyeol Moon; Dong Hoon Hur; Seon-Young Kim; Jeong-Geol Na; Jin Won Lee; Eun Yeol Lee; Ji-Sook Hahn
Journal:  Biotechnol Biofuels       Date:  2019-09-30       Impact factor: 6.040

  6 in total

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