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Cited by 690

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Phospholipid, ester-linked fatty acid profiles as reproducible assays for changes in prokaryotic community structure of estuarine sediments

Open access
James B. Guckert, Christopher P. Antworth, Peter D. Nichols, David C. S. White·1985·FEMS Microbiology Letters

Abstract

Phospholipid, ester-linked fatty acid profiles showed changes in benthic prokaryotic community structure reflecting culture manipulations that were both quantitative and statistically significant. Fatty acid structures, including the position and cis/trans geometry of double bonds, were chemically verified by GC/MS after appropriate derivatization. The fatty acid profiles of independent flasks showed reproducible shifts when manipulated identically and significant differences when manipulated with different treatments. The absence of polyunsaturated fatty acids indicated that the consortia were predominantly prokaryotic. The prokaryotic consortia of different treatments could be differentiated by the proportions of cyclopropyl fatty acids and the proportions and geometry of monounsaturated fatty acids.

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OpenAlex · 10.1016/0378-1097(85)90016-3

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Metadata

Authors
Guckert, J. B., Antworth, C. P., Nichols, P. D., & White, D. C. S.
Venue
FEMS Microbiology Letters
Publisher
Oxford University Press
Published
1985-06-01
Volume
31
Issue
3
Pages
147-158
ISSN
0378-1097 (ISSN-L)
OpenAlex
W2081104534
Cited by
690
References
1
FWCI
20.77
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Phospholipid, ester-linked fatty acid profiles as reproducible assays for changes in prokaryotic community structure of estuarine sediments. https://app.cochat.ai/papers/10.1016/0378-1097(85)90016-3
The paper
Guckert, J. B., Antworth, C. P., Nichols, P. D., & White, D. C. S. (1985). Phospholipid, ester-linked fatty acid profiles as reproducible assays for changes in prokaryotic community structure of estuarine sediments. FEMS Microbiology Letters. https://doi.org/10.1016/0378-1097(85)90016-3

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.