Back

Improving bioplastic production by Rhodopseudomonas palustris TIE-1 using synthetic biology and metabolic engineering

Ranaivoarisoa, T. O.; Bai, W.; Rengasamy, K.; Steele, H.; Silberman, M.; Olabode, J.; Bose, A.

2023-05-17 microbiology
10.1101/2023.05.17.541174 bioRxiv
Show abstract

With the increasing demand for sustainably produced renewable resources, it is important to look towards microorganisms capable of producing bioproducts such as biofuels and bioplastics. Though many systems for bioproduct production are well documented and tested in model organisms, it is essential to look beyond to non-model organisms to expand the field and take advantage of metabolically versatile strains. This investigation centers on Rhodopseudomonas palustris TIE-1, a purple, non-sulfur autotrophic, and anaerobic bacterium capable of producing bioproducts that are comparable to their petroleum-based counterparts. To induce bioplastic overproduction, genes that might have a potential role in the PHB biosynthesis such as the regulator, phaR, and phaZ known for its ability to degrade PHB granules were deleted using markerless deletion. Mutants in pathways that might compete with polyhydroxybutyrate (PHB) production such as glycogen and nitrogen fixation previously created to increase n-butanol production by TIE-1 were also tested. In addition, a phage integration system was developed to insert RuBisCO (RuBisCO form I and II genes) driven by a constitutive promoter PaphII into TIE- 1 genome. Our results show that deletion of the phaR gene of the PHB pathway increases PHB productivity when TIE-1 was grown photoheterotrophically with butyrate and ammonium chloride (NH4Cl). Mutants unable to make glycogen or fix dinitrogen gas show an increase in PHB productivity under photoautotrophic growth conditions with hydrogen. In addition, the engineered TIE-1 overexpressing RuBisCO form I and form II produces significantly more polyhydroxybutyrate than the wild type under photoheterotrophy with butyrate and photoautotrophy with hydrogen. Inserting RuBisCO genes into TIE-1 genome is a more effective strategy than deleting competitive pathways to increase PHB production in TIE-1. The phage integration system developed for TIE-1 thus creates numerous opportunities for synthetic biology in TIE-1.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Bioresource Technology
11 papers in training set
Top 0.1%
12.1%
2
Frontiers in Microbiology
375 papers in training set
Top 1%
6.7%
3
Microbial Cell Factories
22 papers in training set
Top 0.1%
6.7%
4
ACS Synthetic Biology
256 papers in training set
Top 0.7%
6.2%
5
Applied and Environmental Microbiology
301 papers in training set
Top 0.4%
6.2%
6
PLOS ONE
4510 papers in training set
Top 41%
3.5%
7
Algal Research
20 papers in training set
Top 0.1%
3.5%
8
Biotechnology and Bioengineering
49 papers in training set
Top 0.2%
3.5%
9
Microbiology Resource Announcements
22 papers in training set
Top 0.1%
3.5%
50% of probability mass above
10
Scientific Reports
3102 papers in training set
Top 43%
2.8%
11
mSystems
361 papers in training set
Top 4%
2.5%
12
Metabolic Engineering Communications
20 papers in training set
Top 0.1%
2.5%
13
Synthetic and Systems Biotechnology
10 papers in training set
Top 0.1%
2.0%
14
Microbial Biotechnology
29 papers in training set
Top 0.3%
2.0%
15
Archives of Microbiology
11 papers in training set
Top 0.1%
2.0%
16
Biotechnology for Biofuels
11 papers in training set
Top 0.1%
1.6%
17
Microorganisms
101 papers in training set
Top 0.9%
1.6%
18
Metabolic Engineering
68 papers in training set
Top 0.5%
1.3%
19
mSphere
281 papers in training set
Top 4%
1.3%
20
Environmental Microbiology Reports
27 papers in training set
Top 0.5%
1.2%
21
Microbiology Spectrum
435 papers in training set
Top 4%
1.1%
22
Nature Communications
4913 papers in training set
Top 57%
1.1%
23
International Journal of Food Microbiology
11 papers in training set
Top 0.4%
0.9%
24
mBio
750 papers in training set
Top 10%
0.9%
25
Environmental Microbiology
119 papers in training set
Top 3%
0.9%
26
Environmental Science & Technology
64 papers in training set
Top 2%
0.9%
27
BMC Microbiology
35 papers in training set
Top 1%
0.9%
28
PeerJ
261 papers in training set
Top 14%
0.8%
29
Journal of Microbiological Methods
11 papers in training set
Top 0.5%
0.7%
30
Access Microbiology
22 papers in training set
Top 0.8%
0.7%