Cited by 160Soil Carbon and Nitrogen DynamicsMicrobial Community Ecology and PhysiologyMycorrhizal Fungi and Plant Interactions

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Phospholipid fatty acid profiles and carbon utilization patterns for analysis of microbial community structure under field and greenhouse conditions

Open access
Ibekwe, Abasiofiok M, Kennedy, Ann.C·1998·FEMS Microbiology Ecology

Abstract

The description of soil microbial community structure by phospholipid fatty acid (PLFA) profiles is based on the relationship between the phylogeny of microorganisms and their PLFA profiles. Based on this relationship, two community based microbiological measurements, namely, potential C source utilization patterns in Biolog microtiter plates and PLFA profiles were used to examine metabolic fingerprints of soil microbial communities and changes in species composition between field and greenhouse soils. Field and greenhouse experiments were conducted using Palouse and Ritzville silt loams. Soil sampled under wheat (Triticum aestivum L.), barley (Hordeum vulgare L.), pea (Pisum sativa L.), jointed goatgrass (Aegilops cylindrica L.), downy brome (Bromus tectorum L.), and control soils (no plants) were used for these analyses. Principal component analysis (PCA) of PLFA profiles and C source utilization patterns were used to describe changes in microbial biomass and metabolic fingerprints from the two soil types under field and greenhouse conditions. Biomass measurements from extractable PLFA profiles per g dry weight ranged from 28.8 nmol in wheat soil in the greenhouse to 71.4 nmol in pea soil in the field. In general, biomass was higher in all the field samples than in greenhouse samples. Principal component analysis of the two soils with different plants in the field and greenhouse showed clear separation. Principal component analysis of C utilization patterns on the effects of environment on soil microbial community yielded similar results with PLFA measurements. However, higher variability observed among different plants with the Biolog data resulted in the low amount of variance for Biolog data explained by the first two dimensions of the PCA. This suggests that PLFA may be more sensitive for community analysis than the Biolog technique.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1111/j.1574-6941.1998.tb00501.x

Cites

32 of 32 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

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

Research works printed but not linked: 1

  1. White, 1983, Analysis of microorganisms in terms of quantity and activity in natural environments, Soc. Gen. Microbiol. Symp., 34, 37

Cited by

Sorted by citations

See all 160

Metadata

Authors
Ibekwe, A. M., & Kennedy, A. C.
Affiliations
Agricultural Research Service (US)
Corresponding author
Ibekwe, Abasiofiok M
Venue
FEMS Microbiology Ecology
Published
1998-06
Volume
26
Issue
2
Pages
151-163
ISSN
  • 0168-6496 (ISSN-L)
  • 1574-6941
OpenAlex
W2076514896
Cited by
160
References
32
Citations by year
2026: 2 · 2025: 3 · 2024: 6 · 2023: 2 · 2022: 4 · 2021: 2 · 2020: 4 · 2019: 4 · 2018: 6 · 2017: 4 · 2016: 4 · 2015: 5 · 2014: 6 · 2013: 8 · 2012: 4
FWCI
10.98
Type
journal article
Language
en
Open access
Locations
  • FEMS Microbiology Ecology (publishedVersion)
  • HighWire Press Open Archive (submittedVersion)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Soil Science › Soil Carbon and Nitrogen Dynamics
  • Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Mycorrhizal Fungi and Plant Interactions
Keywords
phospholipid fatty acid profiles, soil microbial community structure, carbon source utilization, soil microbial biomass, metabolic fingerprint, wheat, barley, pea, cheatgrass, Aegilops cylindrica, silt loam soil

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