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Oklahoma Biological Survey, Department of Botany and Microbiology, University of Oklahoma, Norman, Oklahoma
Soil samples from eight distinct Oklahoma vegetative communities were assayed for their microbial composition. Gram-positive bacteria were more prominent in grassland communities than forest communities. Streptomyces was the predominant genus in all grassland communities. The dye adsorption method of differentiating Gram-positive bacteria was tried and found to lack specificity for the bacterial communities tested.
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The study of correlations between microflora and their physical and biological environment is the essence of microbial ecology. Several investigators have studied such relationships between microflora and grassland communities in central Oklahoma (1, 2, 3, 4, 5). Mallik and Rice (6) studied the relationships between microflora and forest communities in central Oklahoma.
In these studies a correlation is sought between the qualitative and quantitative composition of the microbial population and the biotic and abiotic characteristics of the ecosystem. In the past, obtaining of qualitative and quantitative data on bacterial populations has been hampered by the tedium of available techniques. A new dye plate method has been developed by Hagedorn and Holt (7) which promises to simplify the identification of Gram-positive soil bacteria at the generic level.
The purposes of this study were to: a) extend the investigation of microfloraplant community relationships in Oklahoma and b) test the differentiation capabilities of dye-containing media in an actual field survey. In the study of microfloraplant community relationships, the emphasis was placed upon the characterization of the predominant, aerobic components of the microflora. The plant communities studied were representative of those found in the State at the 35th parallel and are described in Table 1.
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Site Location and Description
Sampling sites were chosen in the vicinity of an E-W transect across the State of Oklahoma north of the 35° parallel. Each site represented a different plant community and the locations and information pertinent to the sites are given in Table 1. Six cores from each site were collected. The cores were collected within a radius of 2 m at depths as depicted in Table 1. All cores from a site were combined and transported in a sterile plastic bag at a temp. of 4 C-10 C.
Bacterial Analysis
Bacterial analysis commenced within 14 hr of collection. The methods of Hagedorn and Holt were used with modifications (8). A composite 5-g soil sample from each site was diluted in 495 ml 0.5% peptone broth and agitated aseptically for 5 min with a magnetic stirrer. Serial dilutions were made in 0.5% peptone broth and 0.1-ml aliquots of the appropriate dilutions were spread over the surface of Difco plate count agar (PCA) in petri plates. The plates were incubated at 30 C for 48 hr before counting. All plating was done in triplicate and counts were corrected to dry weight.
The higher dilutions contained few or no fungi. For each site 20 representative procaryotic colonies from the higher dilution plates were selected and replica plated onto BBL phenylethyl alcohol agar (PEA), crystal violet agar (CV), and PCA with sterile tooth picks. After 48 hr incubation at 30 C the colonies were scored according to the following scheme: Gram-positive,
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PEA colony 1.5 × diameter of CV colony; Gram-negative, CV colony > PEA colony; Streptomycete, colony morphology and/or pigment; unclassified, no growth on PEA or CV and not a Streptomycete.
Colonies identified as Gram-positive were replicated to dye plates (Table 2) and identified to the generic level (7).
Soil Analysis
Soil samples were pulverized, mixed, and sifted through a No. 60 screen. Moisture and pH were determined by AOAC methods (9). Soil organic carbon was determined by the potassium dichromates-diphenyl-carbazide spectrophotometric method (10). Total phosphate, nitrite-nitrate, and chloride were determined with a HACH kit model DR-EL. A 50-g soil sample was mixed with 50 ml distilled water and the mixture centrifuged at low speed. The water layer was decanted, filtered through ALOE coarse filter paper and centrifuged at 3,400 × g of a Sorvall model GLC-1 centrifuge. Inorganics are reported as µ g/g of soil (dry wt.).
Statistical Analysis
Statistical analysis of the data in Table 4 utilized the Mann-Whitney U nonparametric test with an alpha of 0.05 (11).
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No distinction between grassland communities (sites 1-5) and forest communities (sites 6-8) could be made based upon the physical and mineral soil test conducted (Table 3). No correlation was found between total microbial populations and any single soil parameter or combination of such.
When the sites were ranked by total microbial populations, site eight (postoak-blackjack forest) had the lowest population and site six (oak-pine forest) had the highest population (Table 4). The total population of site six was the only population which differed significantly (one standard deviation) from the mean of the total populations for all sites. The total population of site six was two standard deviations greater than the mean.
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[Page 88 consists entirely of Table 2, Table 3 and Table 4.]
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In Table 4 the total microbial populations have been divided into four arbitrary units (Gram-positive bacteria, Gram-negative bacteria, Streptomycetes, and unclassified). When the unit compositions of the total microflora populations were statistically analyzed differences were noted between the compositions of grassland communities and forest communities. The Gram-positive bacteria comprised a significantly greater percentage of the total population in the grassland communities than in the forest communities and the unclassified microorganisms comprised a significantly greater percentage of the total population in the forest communities than in the grassland communities. The Gram-negative bacteria and the Streptomycetes did not differ significantly between grassland and forest communities.
The Gram-positive component of Table 4 was subdivided into four bacterial genera and the genus Nocardia by the dye adsorption method (Table 5). When the genus Streptomyces was compared with these five other Gram-positive genera, this genus was found to be the most prominent Gram-positive one in each of the grassland communities and the oak-hickory forest community.
When the percents shown for each genus in Table 5 are added and divided by eight, the average for the genus in all sampled communities is obtained. The five genera then rank in order of prevalence: Arthrobacter 32%, Corynebacterium 21.6%, Micrococcus 17.6%, Bacillus 17.3%, and Nocardia 11.4%
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There were qualitative and quantitative microbial differences between sites, but these differences in microbial populations did not correlate with differences in the measured physical characteristics of the soils. This lack of correlation between microbial populations and physical soil data could have been due to the selection of inappropriate data or an insufficient quantity of data. An attempt to correlate microbial populations with soil moisture content is a good example. In the field an increase in soil moisture, to a point, would correlate with increased microbial activity. In the present study, however, the microbial populations represent not just the metabolically active microorganisms but the total population of both active and dormant microorganisms. If annual precipitation is considered, the grassland sites received less moisture than the forest sites. The Grampositive bacteria were more prevalent in the grassland sites than the forest sites and the genus Streptomyces was the numerically predominant genus in all grassland communities. The genus Streptomyces (12) and several of the Gram-positive genera (12, 13) are characterized by an increased resistance to desiccation and would have a selective advantage in the more arid grassland communities. Therefore, annual precipitation but not soil moisture would be causally related to the type of microbial community which developed.
Site 5 was the only site sampled while under active cultivation. Its total microbial population was significantly higher than that of the other grassland sites but was not the highest of all sites sampled. The microbial composition of site 5 (Table 4) did not differ significantly from that of other grassland sites. This indicates that cultivation did not alter the procaryotic microbial community as extensively as it did the botanical and zoological communities.
In the present study the dye adsorption method of Gram-positive bacterial identification was not as definitive as previously described (7). Two possible reasons for the imperfect differentiation of genera in this study are a) the dyes possibly differed in composition, or b) the greater diversity of
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soil environments tested in this study exceeded the differential capabilities of the method. If (b) is true, it would add credence to an assumption, in the original report (7), that the dye adsorption method of bacterial differentiation requires standardization for each soil environment tested.
The author wishes to thank Dr. J. B. Clark for his many suggestions and Susan Barber, Dr. James Estes, and Dr. Kit Pearce for their assistance in identifying botanical specimens.
This work was supported by an Oklahoma Biological Survey research grant.
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1. C. M. ENGLAND and E. L. RICE, Bot. Gaz. 118: 186-190 (1957).
2. S. HAMP, W. G. SORENSON, and E. L. RICE, Proc. Okla. Acad. Sci. 52: 41-44 (1972).
3. W. H. JONES and E. BRANHAM, Proc. Okla. Acad. Sci. 33: 160-162 (1952).
4. C. McELROY, W. H. JONES, and F. A. RINEHART, Proc. Okla. Acad. Sci. 33: 163-168 (1952).
5. P. A. SWARTZ, R. B. WEBB, G. C. COZAD, and J. B. CLARK, Proc. Okla. Acad. Sci. 34: 121-123 (1953).
6. M.A.B. MALLIK and E. L. RICE, Bot. Gaz. 127: 120-127 (1966).
7. C. HAGEDORN and J. G. HOLT, Can. J. Microbiol. 21: 688-693 (1975).
8. C. HAGEDORN and J. G. HOLT, Appl. Microbiol. 29: 211-218 (1974).
9. Official Methods of Analysis of the Association of Official Agricultural Chemists. AOAC, Washington, D.C. 1955, 8th ed., pp. 28, 43.
10. C. W. COX, Laboratory Manual of General Ecology, Wm. C. Brown Co., Dubuque, Iowa, 1967.
11. W. MENDENHALL, Introduction to Probability and Statistics, Wadsworth Publishing Co., Belmont, Cal., 1967.
12. L. V. KALAKOUTSKII and N. S. AGREE, Bacteriol. Rev. 40: 469-524 (1976).
13. J. C. ENSIGN, J. Bacteriol. 103: 569-577 (1970).
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