The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Adaptive Response of a Gene Network to Environmental Changes by Fitness-Induced Attractor Selection
Open accessAbstract
Cells switch between various stable genetic programs (attractors) to accommodate environmental conditions. Signal transduction machineries efficiently convey environmental changes to the gene regulation apparatus in order to express the appropriate genetic program. However, since the number of environmental conditions is much larger than that of available genetic programs so that the cell may utilize the same genetic program for a large set of conditions, it may not have evolved a signaling pathway for every environmental condition, notably those that are rarely encountered. Here we show that in the absence of signal transduction, switching to the appropriate attractor state expressing the genes that afford adaptation to the external condition can occur. In a synthetic bistable gene switch in Escherichia coli in which mutually inhibitory operons govern the expression of two genes required in two alternative nutritional environments, cells reliably selected the "adaptive attractor" driven by gene expression noise. A mathematical model suggests that the "non-adaptive attractor" is avoided because in unfavorable conditions, cellular activity is lower, which suppresses mRNA metabolism, leading to larger fluctuations in gene expression. This, in turn, renders the non-adaptive state less stable. Although attractor selection is not as efficient as signal transduction via a dedicated cascade, it is simple and robust, and may represent a primordial mechanism for adaptive responses that preceded the evolution of signaling cascades for the frequently encountered environmental changes.
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
Stochastic Gene Expression in a Single Cell
Elowitz, M. B., Levine, A. J., Siggia, E. D., & Swain, P. S. (2002) · Science · doi:10.1126/science.1070919 · Cited by 5,441
Multistability in the lactose utilization network of Escherichia coli
Ozbudak, E. M., Thattai, M., Lim, H. N., Shraiman, B. I., & van Oudenaarden, A. (2004) · Nature · doi:10.1038/nature02298 · Cited by 1,030
Noise in protein expression scales with natural protein abundance
Bar-Even, A., Paulsson, J., Maheshri, N., Carmi, M., O'Shea, E., Pilpel, Y., & Barkai, N. (2006) · Nature Genetics · doi:10.1038/ng1807 · Cited by 807
Cell Fates as High-Dimensional Attractor States of a Complex Gene Regulatory Network
Huang, S., Eichler, G., Bar-Yam, Y., & Ingber, D. E. (2005) · Physical Review Letters · doi:10.1103/physrevlett.94.128701 · Cited by 775
Biological Physics of the Developing Embryo
Forgacs, G., & Newman, S. A. (2005) · doi:10.1017/cbo9780511755576 · Cited by 339
Cited by
Tuning gene expression to changing environments: from rapid responses to evolutionary adaptation
López-Maury, L., Marguerat, S., & Bähler, J. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2398 · Cited by 1,061
Evolution of Evolvability in Gene Regulatory Networks
Crombach, A., & Hogeweg, P. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000112 · Cited by 256
Fields, C., & Levin, M. (2022) · Entropy · doi:10.3390/e24060819 · Cited by 121
Aneuploidy Causes Non-genetic Individuality
Beach, R. R., Ricci-Tam, C., Brennan, C. M., Moomau, C. A., Hsu, P.-H., Hua, B., Silberman, R. E., Springer, M., & Amon, A. (2017) · Cell · doi:10.1016/j.cell.2017.03.021 · Cited by 109
Metadata
- Authors
- Kashiwagi, A., Urabe, I., Kaneko, K., & Yomo, T.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2006-12-20
- Volume
- 1
- Issue
- 1
- Pages
- e49
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2096112901
- Cited by
- 271
- References
- 5
- FWCI
- 7.86
- Type
- journal article
- Language
- en
- Open access
- gold
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Adaptive Response of a Gene Network to Environmental Changes by Fitness-Induced Attractor Selection. https://app.cochat.ai/papers/10.1371/journal.pone.0000049
- The paper
- Kashiwagi, A., Urabe, I., Kaneko, K., & Yomo, T. (2006). Adaptive Response of a Gene Network to Environmental Changes by Fitness-Induced Attractor Selection. PLoS ONE. https://doi.org/10.1371/journal.pone.0000049
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.