Am. Ibekwe et Ac. Kennedy, PHOSPHOLIPID FATTY-ACID PROFILES AND CARBON UTILIZATION PATTERNS FOR ANALYSIS OF MICROBIAL COMMUNITY STRUCTURE UNDER FIELD AND GREENHOUSE CONDITIONS, FEMS microbiology, ecology, 26(2), 1998, pp. 151-163
The description of soil microbial community structure by phospholipid
fatty acid (PLFA) profiles is based on the relationship between the ph
ylogeny of microorganisms and their PLFA profiles. Based on this relat
ionship, two community based microbiological measurements, namely, pot
ential C source utilization patterns in Biolog microtiter plates and P
LFA profiles were used to examine metabolic fingerprints of soil micro
bial communities and changes in species composition between field and
greenhouse soils. Field and greenhouse experiments were conducted usin
g Palouse and Ritzville silt loams. Soil sampled under wheat (Triticum
aestivum L.), barley (Hordeum vulgare L.), pea (Pisum sativa L.), joi
nted goatgrass (Aegilops cylindrica L.), downy brome (Bromus tectorum
L.), and control soils (no plants) were used for these analyses. Princ
ipal component analysis (PCA) of PLFA profiles and C source utilizatio
n patterns were used to describe changes in microbial biomass and meta
bolic 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 al
l the field samples than in greenhouse samples. Principal component an
alysis of the two soils with different plants in the field and greenho
use showed clear separation. Principal component analysis of C utiliza
tion patterns on the effects of environment on soil microbial communit
y yielded similar results with PLFA measurements. However, higher vari
ability observed among different plants with the Biolog data resulted
in the low amount of variance for Biolog data explained by the first t
wo dimensions of the PCA. This suggests that PLFA may be more sensitiv
e for community analysis than the Biolog technique. (C) 1998 Published
by Elsevier Science B.V. All rights reserved.