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Cited by 363

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Signaling for Growth Orientation and Cell Differentiation by Surface Topography in Uromyces

Hoch, Harvey C., Staples, Richard C., Whitehead, Brian, Comeau, Jerry, Wolf, Edward D.·1987·Science

Abstract

The dimensions of the topographical signals for growth orientation and infection structure formation, a cell differentiation event that includes nuclear division, were determined for the stomatal penetrating rust fungus Uromyces appendiculatus. The differentiation signal was found to be a simple ridge on the substrate surface that had a markedly optimum height of 0.5 micrometer. Such ridges were microfabricated on silicon wafers by using electron-beam lithography. A similar ridge, in the form of a stomatal lip, was found associated with the stomatal guard cells of the bean (Phaseolus vulgaris) leaf. Ridge elevations greater than 1.0 micrometer or less than 0.25 micrometer did not serve as effective signals. Germ tubes of the fungus were highly oriented by ridge spacings of 0.5 to 6.7 micrometers. The data indicate that the fungus is able to distinguish uniquely minute differences in leaf surface topography in order to infect the host plant.

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Metadata

Authors
Hoch, H. C., Staples, R. C., Whitehead, B., Comeau, J., & Wolf, E. D.
Venue
Science
Published
1987-03-27
Volume
235
Issue
4796
Pages
1659-1662
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2016238959
Cited by
363
References
1
FWCI
4.12
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Signaling for Growth Orientation and Cell Differentiation by Surface Topography in Uromyces. https://app.cochat.ai/papers/10.1126/science.235.4796.1659
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Hoch, H. C., Staples, R. C., Whitehead, B., Comeau, J., & Wolf, E. D. (1987). Signaling for Growth Orientation and Cell Differentiation by Surface Topography in Uromyces. Science. https://doi.org/10.1126/science.235.4796.1659

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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