The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Evolution-guided optimization of biosynthetic pathways
Open accessAbstract
Significance: Microbes can be made to produce industrially valuable chemicals in high quantities by engineering their central metabolic pathways. This process may require evaluating billions of cells, each containing a unique pathway design, to identify the rare cells with high production phenotypes. We mutated targeted locations across the genome to modify several genes identified as key players. We used sensory proteins responsive to a number of target chemicals to couple the concentration of the target chemical in each cell to individual cell fitness. This coupling of chemical production to fitness allows us to harness evolution to progressively enrich superior pathway designs. Through iterations of genetic diversification and selection, we increased the production of naringenin and glucaric acid 36- and 22-fold, respectively.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Programming cells by multiplex genome engineering and accelerated evolution
Wang, H. H., Isaacs, F. J., Carr, P. A., Sun, Z. Z., Xu, G., Forest, C. R., & Church, G. M. (2009) · Nature · doi:10.1038/nature08187 · Cited by 1,529 · cited 7×
“MAGE (6) mutagenesis targeted 20 endogenous genes (SI Appendix, Table S3) for expression and coding changes in this strain.”
BackgroundMethodInfluentialSelf-citation
Cited by
Engineering an allosteric transcription factor to respond to new ligands
Taylor, N. D., Garruss, A. S., Moretti, R., Chan, S., Arbing, M. A., Cascio, D., Rogers, J. K., Isaacs, F. J., Kosuri, S., Baker, D., et al. (2016) · Nature Methods · doi:10.1038/nmeth.3696 · Cited by 328
Self-citationAI-directed gene fusing prolongs the evolutionary half-life of synthetic gene circuits
(2025) · doi:10.1126/sciadv.adx0796 · Cited by 4
Odhiambo, C. A., Malico, A. A., & Williams, G. J. (2026) · RSC Advances · doi:10.1039/d6ra03129c · Cited by 1
Metadata
- Authors
- Raman, S., Rogers, J. K., Taylor, N. D., & Church, G. M.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2014-12
- Volume
- 111
- Issue
- 50
- Pages
- 17803-17808
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2014133014
- Cited by
- 278
- References
- 1
- FWCI
- 10.95
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
