A Long-Term Growth Stable Halomonas sp. Deleted with Multiple Transposases Guided by Its Metabolic Network Model Halo-ecGEM.

GO-slim term Halomonas Microbial stability Multiomics analysis Next generation industrial biotechnology PHB Polyhydroxyalkanoates enzyme-constrained GEM

Journal

Metabolic engineering
ISSN: 1096-7184
Titre abrégé: Metab Eng
Pays: Belgium
ID NLM: 9815657

Informations de publication

Date de publication:
18 Jun 2024
Historique:
received: 01 01 2024
revised: 02 05 2024
accepted: 06 06 2024
medline: 21 6 2024
pubmed: 21 6 2024
entrez: 20 6 2024
Statut: aheadofprint

Résumé

Microbial instability is a common problem during bio-production based on microbial hosts. Halomonas bluephagenesis has been developed as a chassis for next generation industrial biotechnology (NGIB) under open and unsterile conditions. However, the hidden genomic information and peculiar metabolism have significantly hampered its deep exploitation for cell-factory engineering. Based on the freshly completed genome sequence of H. bluephagenesis TD01, which reveals 1889 biological process-associated genes grouped into 84 GO-slim terms. An enzyme constrained genome-scale metabolic model Halo-ecGEM was constructed, which showed strong ability to simulate fed-batch fermentations. A visible salt-stress responsive landscape was achieved by combining GO-slim term enrichment and CVT-based omics profiling, demonstrating that cells deploy most of the protein resources by force to support the essential activity of translation and protein metabolism when exposed to salt stress. Under the guidance of Halo-ecGEM, eight transposases were deleted, leading to a significantly enhanced stability for its growth and bioproduction of various polyhydroxyalkanoates (PHA) including 3-hydroxybutyrate (3HB) homopolymer PHB, 3HB and 3-hydroxyvalerate (3HV) copolymer PHBV, as well as 3HB and 4-hydroxyvalerate (4HB) copolymer P34HB. This study sheds new light on the metabolic characteristics and stress-response landscape of H. bluephagenesis, achieving for the first time to construct a long-term growth stable chassis for industrial applications. For the first time, it was demonstrated that genome encoded transposons are the reason for microbial instability during growth in flasks and fermentors.

Identifiants

pubmed: 38901556
pii: S1096-7176(24)00077-6
doi: 10.1016/j.ymben.2024.06.004
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of Competing Interest ☒ The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. ☐ The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:

Auteurs

Lizhan Zhang (L)

School of Life Sciences, Tsinghua University, Beijing, 100084, China.

Jian-Wen Ye (JW)

School of Life Sciences, Tsinghua University, Beijing, 100084, China.

Gang Li (G)

Department of Biology and Biological Engineering, Chalmers University of Technology, SE412 96 Gothenburg, Sweden.

Helen Park (H)

School of Life Sciences, Tsinghua University, Beijing, 100084, China.

Hao Luo (H)

Department of Biology and Biological Engineering, Chalmers University of Technology, SE412 96 Gothenburg, Sweden.

Yina Lin (Y)

School of Life Sciences, Tsinghua University, Beijing, 100084, China.

Shaowei Li (S)

School of Life Sciences, Tsinghua University, Beijing, 100084, China.

Weinan Yang (W)

School of Life Sciences, Tsinghua University, Beijing, 100084, China.

Yuying Guan (Y)

School of Life Sciences, Tsinghua University, Beijing, 100084, China.

Fuqing Wu (F)

School of Life Sciences, Tsinghua University, Beijing, 100084, China; Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing, 100084, China.

Wuzhe Huang (W)

PhaBuilder Biotechnol Co. Ltd., PhaBuilder Biotech Co. Ltd., Shunyi District, Zhaoquan Ying, Beijing 101309, China.

Qiong Wu (Q)

School of Life Sciences, Tsinghua University, Beijing, 100084, China; Center for Synthetic and Systems Biology, Tsinghua University, Beijing 100084, China.

Nigel S Scrutton (NS)

Future Biomanufacturing Research Hub, Manchester Institute of Biotechnology and Department of Chemistry, The University of Manchester, Manchester, M1 7DN, UK.

Jens Nielsen (J)

Department of Biology and Biological Engineering, Chalmers University of Technology, SE412 96 Gothenburg, Sweden; BioInnovation Institute, Ole Maaløes Vej 3, DK2200 Copenhagen N, Denmark. Electronic address: nielsenj@chalmers.se.

Guo-Qiang Chen (GQ)

School of Life Sciences, Tsinghua University, Beijing, 100084, China; Center for Synthetic and Systems Biology, Tsinghua University, Beijing 100084, China; MOE Key Laboratory for Industrial Biocatalysts, Dept Chemical Engineering, Tsinghua University, Beijing 100084, China; Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing, 100084, China. Electronic address: chengq@mail.tsinghua.edu.cn.

Classifications MeSH