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Cited by 3,740

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Living with Water Stress: Evolution of Osmolyte Systems

Yancey, Paul H., Clark, Mary E., Hand, Steven C., Bowlus, R. David, Somero, George N.·1982·Science

Abstract

Striking convergent evolution is found in the properties of the organic osmotic solute (osmolyte) systems observed in bacteria, plants, and animals. Polyhydric alcohols, free amino acids and their derivatives, and combinations of urea and methylamines are the three types of osmolyte systems found in all water-stressed organisms except the halobacteria. The selective advantages of the organic osmolyte systems are, first, a compatibility with macromolecular structure and function at high or variable (or both) osmolyte concentrations, and, second, greatly reduced needs for modifying proteins to function in concentrated intracellular solutions. Osmolyte compatibility is proposed to result from the absence of osmolyte interactions with substrates and cofactors, and the nonperturbing or favorable effects of osmolytes on macromolecular-solvent interactions.

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Crossref · 10.1126/science.7112124

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Metadata

Authors
Yancey, P. H., Clark, M. E., Hand, S. C., Bowlus, R. D., & Somero, G. N.
Venue
Science
Published
1982-09-24
Volume
217
Issue
4566
Pages
1214-1222
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1986115510
Cited by
3,740
References
2
FWCI
10.31
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Living with Water Stress: Evolution of Osmolyte Systems. https://app.cochat.ai/papers/10.1126/science.7112124
The paper
Yancey, P. H., Clark, M. E., Hand, S. C., Bowlus, R. D., & Somero, G. N. (1982). Living with Water Stress: Evolution of Osmolyte Systems. Science. https://doi.org/10.1126/science.7112124

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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.