The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Optimal protein allocation controls the inhibition of GltA and AcnB in Neisseria gonorrhoeae
Open accessPublished version of a preprint
Abstract
Neisseria gonorrhea (Ngo) is a major concern for global public health due to its severe implications for reproductive health. Understanding its metabolic phenotype is crucial for comprehending its pathogenicity. Despite Ngo’s ability to encode tricarboxylic acid (TCA) cycle proteins, GltA and AcnB, their activities are notably restricted. To investigate this phenomenon, we used the iNgo_557 metabolic model and incorporated a constraint on total cellular protein content. Our results indicate that low cellular protein content severely limits GltA and AcnB activity, leading to a shift toward acetate overflow for Adenosine triphosphate (ATP) production, which is more efficient in terms of protein usage. Surprisingly, increasing cellular protein content alleviates this restriction on GltA and AcnB and delays the onset of acetate overflow, highlighting protein allocation as a critical determinant in understanding Ngo’s metabolic phenotype. These findings underscore the significance of Ngo’s metabolic adaptation in light of optimal protein allocation, providing a blueprint to understand Ngo’s metabolic landscape.
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Cites
Overflow metabolism in Escherichia coli results from efficient proteome allocation
Basan, M., Hui, S., Okano, H., Zhang, Z., Shen, Y., Williamson, J. R., & Hwa, T. (2015) · Nature · doi:10.1038/nature15765 · Cited by 785
Genome‐scale models of metabolism and gene expression extend and refine growth phenotype prediction
O'Brien, E. J., Lerman, J. A., Chang, R. L., Hyduke, D. R., & Palsson, B. Ø. (2013) · Molecular Systems Biology · doi:10.1038/msb.2013.52 · Cited by 471
Deep learning-based kcat prediction enables improved enzyme-constrained model reconstruction
Li, F., Yuan, L., Lu, H., Li, G., Chen, Y., Engqvist, M. K. M., Kerkhoven, E. J., & Nielsen, J. (2022) · Nature Catalysis · doi:10.1038/s41929-022-00798-z · Cited by 466
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Metadata
- Authors
- Shahreen, N., Chowdhury, N. B., & Saha, R.
- Affiliations
- University of Nebraska–Lincoln (US)
- Corresponding author
- Saha, Rajib
- Venue
- Pathogens and Disease
- Publisher
- Oxford University Press (OUP)
- Published
- 2024
- Volume
- 82
- ISSN
- 2049-632X (ISSN-L)
- PMC
- PMC11493098
- OpenAlex
- W4402947451
- Cited by
- 6
- References
- 3
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 1
- FWCI
- 0.81
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Pathogens and Disease (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (submittedVersion, cc-by)
- Funders
- NHI (5R35GM143009)
- National Science Foundation (1943310)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Life Sciences › Immunology and Microbiology › Microbiology › Reproductive tract infections research
- Keywords
- Neisseria gonorrhoeae, protein allocation, gltA, TCA cycle, metabolic modeling, cellular protein content, ATP production, metabolic phenotypes, bacterial metabolism
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