Back

Impact of central carbon metabolism bypasses on the production of beta-carotene in Yarrowa lipolytica

Markus, T.; Soldat, M.; Magdevska, V.; Horvat, J.; Kavscek, M.; Kosec, G.; Fujs, S.; Petrovic, U.

2023-11-14 bioengineering
10.1101/2023.11.10.566616 bioRxiv
Show abstract

Yarrowia lipolytica is an oleaginous yeast with ever growing popularity in the metabolic engineering circles. It is well known for its ability to accommodate a high carbon flux through acetyl-CoA and is being extensively studied for production of chemicals derived from it. We investigated the effects of modifying the upstream metabolism leading to acetyl-CoA on beta-carotene production, including its titer, yield, and content. We examined the pyruvate and the phosphoketolase bypass, both of which are stoichiometrically favorable for the production of acetyl-CoA and beta-carotene. Additionally, we examined a set of genes involved in the carnitine shuttle. We constructed a set of parental strains derived from the Y. lipolytica YB-392 wild-type strain, each with a different capacity for beta-carotene production, and introduced genes for the metabolic bypasses in each of the constructed parental strains. Subsequently, we subjected these constructed strains to a series of fermentation experiments. We discovered that altering the upstream metabolism in most cases led to a decrease in performance for production of beta-carotene. Most notably, a set of genes used for the pyruvate bypass (YlPDC2, YlALD5, and YlACS1) and the phosphoketolase bypass (LmXPK and CkPTA) resulted in the reduction of more than 30%. Our findings contribute to our understanding of Y. lipolyticas metabolic capacity and suggest that production of beta-carotene is most likely not limited solely by the acetyl-CoA supply. We also highlight a complex nature of engineering Y. lipolytica, as most of the results from studies using a different strain background did not align with our findings.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Metabolic Engineering Communications
20 papers in training set
Top 0.1%
22.6%
2
Metabolic Engineering
68 papers in training set
Top 0.1%
6.8%
3
PLOS ONE
4510 papers in training set
Top 25%
6.8%
4
Applied and Environmental Microbiology
301 papers in training set
Top 0.4%
6.3%
5
Biotechnology and Bioengineering
49 papers in training set
Top 0.1%
6.3%
6
Microbial Cell Factories
22 papers in training set
Top 0.1%
4.9%
50% of probability mass above
7
Scientific Reports
3102 papers in training set
Top 24%
4.9%
8
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 0.4%
4.0%
9
ACS Synthetic Biology
256 papers in training set
Top 1%
2.5%
10
Environmental Microbiology
119 papers in training set
Top 1%
2.1%
11
PeerJ
261 papers in training set
Top 7%
1.7%
12
Evolutionary Applications
91 papers in training set
Top 0.6%
1.7%
13
Frontiers in Microbiology
375 papers in training set
Top 5%
1.7%
14
Applied Microbiology and Biotechnology
26 papers in training set
Top 0.1%
1.7%
15
Food Research International
11 papers in training set
Top 0.2%
1.7%
16
Algal Research
20 papers in training set
Top 0.1%
1.7%
17
Bioresource Technology
11 papers in training set
Top 0.2%
1.3%
18
Microorganisms
101 papers in training set
Top 1%
1.3%
19
Plant Science
25 papers in training set
Top 0.7%
1.2%
20
Biotechnology for Biofuels
11 papers in training set
Top 0.2%
1.2%
21
Frontiers in Fungal Biology
10 papers in training set
Top 0.1%
0.8%
22
Molecular Genetics and Genomics
11 papers in training set
Top 0.3%
0.8%
23
Microbial Biotechnology
29 papers in training set
Top 0.8%
0.8%
24
Frontiers in Cellular and Infection Microbiology
98 papers in training set
Top 6%
0.7%
25
Microbiology Spectrum
435 papers in training set
Top 5%
0.7%
26
PLOS Computational Biology
1633 papers in training set
Top 27%
0.6%
27
Royal Society Open Science
193 papers in training set
Top 6%
0.6%
28
Yeast
15 papers in training set
Top 0.2%
0.5%
29
International Journal of Molecular Sciences
453 papers in training set
Top 20%
0.5%
30
Biosystems
18 papers in training set
Top 0.6%
0.5%