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U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory, Western Ecology Division, 200 SW 35th Street, Corvallis, Oregon 97333
Kendall Martin
Kelly K. Donegan
Dynamac Corp., 200 SW 35th Street, Corvallis, Oregon 97333
Jeffrey K. Stone
Oregon State University, Department of Botany and Plant Pathology, Corvallis, Oregon 97331
Clarace G. Coleman
National Asian Pacific Center on Aging, 1511 Third Avenue, Seattle, Washington 98101
| ABSTRACT |
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We compared three methods for estimating fungal species diversity in soil samples. A rapid screening method based on gross colony morphological features and color reference standards was compared with traditional fungal taxonomic methods and PCR-RFLP for estimation of ecological indices of soil microfungal community composition. Normalized counts of colony morphotypes on dichloran rose bengal medium were used to estimate species richness (S) and evenness ( J) and to calculate Shannons diversity (H) and Simpsons (SI) dominance indices. Isolates were obtained by dilution plating techniques from litter and soil layer samples taken from Douglas-fir forest and clear-cut areas at two locations in the Cascade Mountains. The highest correspondence (97%) was observed between taxonomic identification and RFLP patterns (32:33). Cladistic analyses of PCR-RFLP patterns indicated an 81% correspondence between RFLP patterns:colony morphotypes (33:41). A correspondence of 78% was observed between traditional taxonomic identification:colony morphotypes (32:41). Statistical analyses of ecological indices based on quantitative application of the colony morphotyping method indicated significant differences (P < 0.05) in fungal community composition between forested and clear-cut areas at the Toad Road site but not at the Falls Creek site. Comparisons of ecological indices based on traditional identification of taxa by microscopic characterization on defined culture media resulted in identical findings of statistical significance. The colony morphotyping approach is proposed as a screening method to identify potential effects of land management practices, edaphic factors and pollutants on microfungal diversity.
Key words: ecological indices, fungi, litter, soil ecology
| INTRODUCTION |
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Nevertheless there are many reasons why indices of fungal diversity may be desirable in ecological investigations. Fungal communities may respond to ecological disturbance agents such as pollutants, fire or clear-cutting well before plant or animal communities and may be useful as early indicators (Durall et al 2005
, Houston et al 1998
, Pennanen et al 1996
, Zak 1992
). Although taxonomic approaches are typical for investigations of microfungal communities, it sometimes is desirable to obtain estimates of species diversity, richness and evenness of microfungal communities but the identities of fungal taxa and species composition of the communities are not essential. Studies seeking to compare aspects of fungal diversity in relation to ecological or environmental factors may be limited by insufficient taxonomic characterization of fungal species or insufficient taxonomic expertise and resources. In such cases traditional taxonomic approaches to species identification to develop data for ecological indices can be time consuming and potentially less accurate than other approaches. Studies on endophytic fungi isolated from various organs and tissues of plants, for example, frequently report relatively high proportions of both sterile mycelia and novel taxa (Stone et al 2004
). Although species lists normally comprise the core data in such studies, the objectives often are primarily to investigate ecological differences (e.g. Rodrigues 1994
). Sometimes combinations of novel species, nonsporulating cultures and limited taxonomic resources necessitate the use of a morphospecies approach or partial taxonomic characterization for fungal biodiversity studies. Arnold et al (2001)
used a morphospecies approach to characterize diversity, host preference and spatial heterogeneity in endophytic fungi from broadleaf forest trees at a tropical site. Using a method similar to that described by Garland (1996)
for characterization of patterns of C source use by bacterial communities Zak and Dobranic (1999)
developed a FungiLog technique based on metabolic diversity for assessing functional diversity of microfungal communities. Ecological studies such as these can reveal patterns in distribution and functional diversity in the absence of traditional systematics. Such data can be useful in evaluating effects of disturbance, land management practices, climate change and a host of ecological factors on fungal communities.
Many mycologists are wary of the use of gross colony morphology as a substitute for taxonomy-based assessment of species composition. A colony morphotype approach has the potential either to over- or underestimate true species diversity, due to variation in colony morphology within individual species or to inability to differentiate a colony morphology common to multiple species (Haldemann and Amy 1993
, Franklin et al 2001
, Lebaron et al 1998
, Quindos et al 1992
). Furthermore characterization of morphospecies by different investigators may be subject to variation in standardization. While improvements continue to be made in molecular methods for direct estimation of soil microbial diversity (Amann et al 1995
, Kirk et al 2004
, Schadt et al 2003
), such methods also require highly specialized training and equipment and expense may limit their usefulness as preliminary screening tools. There are also a number of difficulties inherent in the restriction analysis of PCR products that also can produce spurious fragments (Egert and Friedrich 2003
, Webster et al 2003
). To our knowledge however no studies exist that have compared standard taxonomic methods with alternative methods such as colony morphotyping and PCR-RFLP methods for estimating species diversity. To examine how well diversity estimates based on colony morphospecies correspond to other methods, we undertook this study to compare methods for assessing fungal species diversity. Our objective was to develop a rapid screening method based on standardized, objective criteria for characterization of fungal colony morphotypes, and not requiring specialized training in fungal taxonomy, that could be used as an approximation of fungal species diversity for evaluating soil microfungal communities.
| MATERIALS AND METHODS |
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Isolation and macroscopic characterization of soil fungi.
Procedures for sampling and enumeration of soil fungi are shown (FIG. 1
). Replicate samples from the forested and clear-cut Oregon sites consisted of three layers: surface litter and soil that had been collected at two depths (010 cm and 1020 cm) with a 2.5 cm diam soil corer. Ten mg samples of each litter or soil layer replicate were placed in 90 mL of extraction buffer (0.2% sodium hexametaphosphate and 6um Zwittergent detergent); the samples were shaken 5 min at a setting of 8 on a Multi-Wrist Shaker (Lab-line Instruments Inc., Melrose Park, Illinois). Tenfold serial dilutions of forest litter and soil samples were spread-plated in duplicate onto a dichloran rose bengal (DRB) primary isolation medium (King et al 1979
) containing 50 µg/mL chlortetracycline and 200 µg/mL streptomycin. After 6 d incubation at 25 C, determinations were made of the abundances of the different colony morphotypes. A standardized reference chart of color photographs and codes of colony morphotypes for the Oregon Cascades Douglas fir litter and soil samples (FIG. 2
) was developed and used to assign morphotype codes to colonies on DRB plates. This process is analogous to the way Munsell® or other color charts are used to characterize colors of plant or soil sample chemical reactions (Munsell 1977
). A Dyna-Lume Dyna-Light (Skokie, Illinois), high intensity lamp was used to provide illumination to distinguish morphotypes that were similar in color. Before calculation of ecological indices, raw data for abundances of the various morphotypes on countable DRB plates were normalized on the basis of CFU (gm dry weight)1 soil or litter.
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0.05 (Wilks lambda) were considered to be statistically significant. Illustrative data examples were based on litter and soil samples taken from the Falls Creek and Toad Road Douglas-fir forested and commercially harvested (clear-cut) sites in Willamette National Forest.
Taxonomic identification.
Fungi isolated on DRB medium (King et al 1977) were subcultured to malt agar (MEA) and Czapeks with yeast extract (CYA, Pitt 1988
) and potato-dextrose agar (PDA) for taxonomic analysis. Isolates were identified according to contemporary taxonomic concepts for each group. Species of Penicillia were identified following Pitt (2000) and Fusaria following Gerlach and Nirenberg (1982)
. Other conidial fungi were identified on the basis of conidium formation and conidiophore structure (Barron 1968
; Carmichael et al 1980
; Domsch et al 1980
, 1993
; Ellis 1971
, 1976
). Isolates that had unique colony morphotypes but which failed to produce conidia or other diagnostic morphological features were assumed to represent separate taxa.
Molecular characterizations of fungal isolates.
Agar-free samples (520 mg fresh weight) of isolates grown on DRB medium were obtained with sterile inoculating loops or scalpels and frozen in 1.5 mL microcentrifuge tubes until the time of DNA extraction and purification by means of a CTAB method (Gardes and Bruns 1993
). We amplified a section of the ribosomal operon spanning the region between the nuclear small and nuclear large rDNA sequences and which included two internal transcribed sequences (ITS) using a nested PCR system. The four primers used are unique to this laboratory (USEPA, Corvallis, Oregon) and provide good discrimination against plant sequences while amplifying a wide range of fungal sequences (Martin and Rygiewicz 1999
, 2005
). The final PCR product was digested separately with three different restriction enzymes (Cfo1, HinF1 and Taq1). Data from all three digests were used for cladistic analysis. Restriction patterns were quantified with the aid of Scanalytics (www.scanalytics.com) RFLP scan gel analysis software and archived in the associated database. Dendrograms were developed with TreeCon software (van de Peer and de Wachter 1994
) using the Link algorithm, {Gdxy = (Nx+Ny)/(Nx+Ny+Nxy)}, 200 bootstrap iterations and UPGMA (unweighted pair group method using arithmetic averages) clustering (Link et al 1995
).
| RESULTS |
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Colony morphotype and color reference charts (FIG. 2
) then were used to enumerate distinct morphotypes on DRB primary soil dilution isolation plates, normalized on dry weight basis g1 litter or soil, and used to calculate ecological diversity indices (TABLE I
). No significant differences were found in the ecological indices of samples from the clear-cut and forested areas at the Falls Creek site. In contrast at the Toad Road site highly significant differences were found between the clear-cut and forested litter and soil samples in all four ecological indices (S, H, J and SI) that were examined on each of four sample dates (TABLE I
). The ecological indices (TABLE I
) also were calculated based on numbers of taxonomically identified or presumed taxa (all sterile isolates were presumed to be unique taxa). Comparisons between ecological indices based on taxonomic identification also indicated significant differences in species diversity of soil microfungi between clear-cut and forested areas at Toad Road site but not the Falls Creek site (data not shown).
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| DISCUSSION |
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At the more intensively managed low elevation (Falls Creek) site, no significant differences were observed in ecological indices of fungal community composition between the clear-cut and forested areas. This was somewhat surprising, given previous observations of significant differences in plant community composition and in bacterial community metabolic profiles between forested and clear-cut areas at that location (Donegan et al 2001
). It is possible that changes in fungal community composition occurred but were either too small to be detected or did not affect overall diversity.
The correspondences we observed between taxonomic:morphotype, PCR-RFLP:morphotype and taxonomic:PCR-RFLP results (78%, 81% and 97% respectively) support the concept that a standardized quantitative colony morphotyping approach can be used as a viable primary screening method. Our analyses of ecological indices based on colony morphotyping data at two sets of Douglas-fir sites in the western Cascade Mountains suggest that the method may be useful in detecting changes in microfungal community composition after various types of disturbances. Some of the filamentous fungi included in the reference chart (FIG. 2
) are ubiquitous, cosmopolitan genera that are not unique to forest ecosystems. For example genera such as Penicillium and Aspergillus are common saprophytes; they also include species that may become opportunistic pathogens or allergens of humans. The general approach described herein potentially could be used to create customized reference charts for colony morphotypes of fungi commonly found in specific types of diverse environmental and perhaps indoor and clinical samples. Those unique applications of course would require the availability or definition of specific culture media, culture conditions and development of fungal colony morphotype color reference standards relevant to those particular types of samples of interest. The quantitative colony morphotyping primary screening method we have described is proposed as a primary screening method to identify potential changes in ecological indices of fungal community composition that may occur as a result of natural or anthropogenic disturbances. After taxonomic identification of individual taxa of interest, molecular or other (e.g. immunological or biochemical) methods could be used to detect, monitor and quantify those taxa of specific environmental, academic or clinical interest.
Identical PCR-RFLP patterns among macroscopically morphologically similar but microscopically identical P. spinulosum isolates differentiated as unique morphotypes on the basis of colony color suggests that they might be simply color variants. With additional restriction or sequencing data it is anticipated that P. spinulosum, F. oxysporum and H. dematioides isolates, which were distinguishable by colony morphotyping but which were indistinguishable by taxonomic characters, could be differentiated by molecular methods. However the primary objective of this study was to evaluate the feasibility of a relatively rapid and simple primary screening method for detecting potential changes in fungal community composition. The molecular (PCR-RFLP) and standard taxonomic identification methods used to characterize the isolates described in these studies were included for comparisons of measures of species diversity based on colony morphotyping with traditional taxonomic and to PCR-RFLP fingerprinting approaches to distinguish taxa. If specific morphotypes were to stand out as potential indicators of natural environmental or applied treatments more advanced physiological and molecular methods then could be used to develop molecular, immunological or physiological diagnostics for the presence or absence of specific taxa, genes or enzyme activities.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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1 Corresponding author. E-mail: Watrud.lidia{at}epa.gov
| LITERATURE CITED |
|---|
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Arnold AE, Maynard Z, Gilbert GS. 2001. Fungal endophytes in dicotyledenous neotropical trees: patterns of abundance and diversity. Mycol Res 105:15021507.[CrossRef]
Barron GL. 1968. The genera of Hyphomycetes from soil. Baltimore: Williams & Wilkins Co. 364 p.
Carmichael JW, Kendrick WB, Conners IL, Sigler L. 1980. Genera of Hyphomycetes. Edmonton, Alberta: University of Alberta Press. 386 p.
Domsch KH, Gams W, Anderson TH. 1980. 1993. Compendium of soil fungi. Reprint with supplements 1993. Eching, Germany: IHW-Verlag. 860 p.
Donegan KD, Watrud LS, Seidler RJ, Maggard SP, Shiroyama T, Porteous LA, Di Giovanni G. 2001. Soil and litter organisms in Pacific Northwest forests under different management practices. Appl Soil Ecol 18:159175.
Durall DM, Jones MD, Lewis KJ. 2005. Effects of forest management on fungal communities. In: Dighton J, White JF Jr, Oudemans P, eds. The fungal community. 3rd ed. Boca Raton, Florida: Taylor & Francis Co. p 833855.
Egert M, Friedrich MW. 2003. Formation of pseudoterminal restriction fragments, a PCR-related bias affecting terminal restriction fragment length polymorphism analysis of microbial community structure. Appl Environ Microbiol 69:25552562.
Ellis MB. 1971. Dematiaceous Hyphomycetes. Kew, UK: Commonwealth Mycological Institute. 608 p.
. 1976. More dematiaceous Hyphomycetes. Kew, UK: Commonwealth Mycological Institute. 507 p.
Fenn ME, Poth MA, Schilling SL, Grainger DB. 2000. Through-fall and fog deposition of nitrogen and sulfur at an N-limited and N-saturated site in the San Bernardino Mountains, southern California. Can J For Res 30:14761488.[CrossRef]
, Haeuber R, Baron JS, Allen EB, Rueth HM, Nydick KR, Geise L, Bowman WD, Sickman JO, Meixner T, Johnson DW, Neitlich P. 2003. Ecological effects of nitrogen deposition in the western United States. BioScience 53:404420.[CrossRef]
Franklin RB, Garland JL, Bolster CH, Mills AL. 2001. Impact of dilution on microbial community structure and functional potential: comparison of numerical simulations and batch culture experiments. Appl Environ Microbiol 67:702712.
Garland JL. 1996. Analytical approaches to the characterization of samples of microbial communities using patterns of potential C source utilization. Soil Biol Biochem 28:213221.[CrossRef]
Gardes M, Bruns TD. 1993. ITS primers with enhanced specificity for basidiomycetesapplication to the identification of mycorrhizae and rusts. Mol Ecol 2:113118.[Medline]
Gerlach W, Nirenberg H. 1982. The genus Fusariuma pictorial atlas. Mitteilungen aus der Biologischen Bundesanstalt für Land- und Forstwirtschaft. Berlin-Dahlem 209:1406.
Haldemann DL, Amy PS. 1993. Diversity within a colony morphotype: implications for ecological research. Appl Environ Microbiol 59:933935.
Houston APC, Visser S, Lautenschlager RA. 1998. Response of microbial processes and fungal community structure to vegetation management in mixed wood forest soils. Can J Bot 76:20022010.
Jordan FL, Cantera JJL, Fenn ME, Stein LY. 2005. Autotrophic ammonia-oxidizing bacteria contribute minimally to nitrification in a nitrogen-impacted forested ecosystem. Appl Environ Microbiol 71:197206.
King AD Jr, Hocking AD, Pitt JI. 1979. Dichloran-rose bengal medium for enumeration and isolation of molds from foods. Appl Environ Microbiol 37:959964.
Kirk JL, Beaudette LA, Hart M, Moutoglis P, Klironomos JN, Lee H, Trevors JT. 2004. Methods of studying soil microbial diversity. J. Microbiol Method 58:169188.[CrossRef]
Klich MA, Pitt JI. 1988. A laboratory guide to common Aspergillus species and their teleomorphs. North Ryde, Australia: CSIRO.
Lebaron P, Ghiglione JF, Fajon C, Batailler N, Normand P. 1998. Phenotypic and genetic diversity within a colony morphotype. FEMS Microbiol Lett 160:137143.[CrossRef][Medline]
Link W, Dixens C, Singh M, Schwall M, Melchinger AE. 1995. Genetic diversity in European and Mediterranean fava bean germ plasm revealed by RAPD markers. Theor Appl Genet 90:2732.
Magurran AE. 1988. Ecological diversity and its measurement. Princeton, New Jersey: Princeton University Press. 179 p.
Martin KJ, Rygiewicz PT. 1999. Fungal-specific PCR primers developed for analysis of the ITS region of environmental DNA extracts. Agronomy Abstracts, American Society of Agronomy No. 1424.
. 2005. Fungal-specific PCR primers developed for the analysis of the ITS region of environmental DNA extracts. BMC Microbiology 5:28.[CrossRef][Medline]
Munsell® color charts for plant tissues. 1977. Munsell color. Baltimore, Maryland: Macbeth, Kollmorgen Corp.
Nelson PE, Toussoun TA, Marasas WFO. 1983. Fusarium species: an illustrated manual for identification. University Park, Pennsylvania: Pennsylvania State University Press. 193 p.
Pennanen T, Frostegård Å, Fritze H, Bååth E. 1996. Phospholipid fatty acid composition and heavy metal tolerance of soil microbial communities along two heavy metal-polluted gradients in coniferous forests. Appl Environ Microbiol 62:420428.
Pitt J. 1979. The genus Penicillium and its teleomorphic states Eupenicillium and Talaromyces. New York: Academic Press. 193 p.
. 1988. A laboratory guide to the common Penicillium species. North Ryde, Australia: CSIRO.
Quindos G, Fernandez-Rodriguez M, Burgos A, Tellaetxe M, Cisterna R, Ponton J. 1992. Colony morphotypes on Sabouraud-triphenyltetrazolium agar: a simple and inexpensive method for Candida subspecies discrimination. J Clinic Microbiol 30:27482752.
Raper KB, Fennell DI. 1965. The genus Aspergillus. Baltimore, Maryland: Williams & Wilkins Co.
, Thom C. 1949. A manual of the Penicillia. Baltimore, Maryland: Williams & Wilkins Co. 873 p.
Ramirez C. 1982. Manual and atlas of the Penicillia. New York: Elsevier Biomedical.
Rodrigues KF. 1994. The foliar fungal endophytes of the Amazonian palm Euterpe oleracea. Mycologia 86: 376385.[CrossRef]
Schadt CW, Martin AP, Lipson DA, Schmidt SK. 2003. Seasonal dynamics of previously unknown fungal lineages in tundra soils. Science 301:13591361.
Stone JK, Polishook JD, White JF Jr. 2004. Endophytic fungi. In: Mueller GM, Bills GF, Foster MS, eds. Biodiversity of fungi, inventory and monitoring methods. Burlington, Massachusetts: Elsevier Academic Press. p 241270.
Tingey DT, McVeety BD, Waschmann R, Johnson MG, Phillips DL, Rygiewicz PT, Olszyk DM. 1996. A versatile sun-lit controlled-environment facility for studying plant and soil processes. J Environ Qual 25:614625.
van de Peer Y, de Wachter R. 1994. TREECON for Windows: a software package for the construction and drawing of evolutionary trees for the Microsoft Windows environment. Comput Applic Biosci 10:569570.
Watrud LS, Maggard S, Shiroyama T, Coleman GC, Johnson MG, Donegan KK, Di Giovanni G, Porteous LA, Lee EH. 2003. Bracken (Pteridium aquilinum L.) frond biomass and rhizosphere microbial community characteristics are correlated to edaphic factors. Plant Soil 249:359371.[CrossRef]
Webster G, Newberry CJ, Fry JC, Weightman J. 2003. Assessment of bacterial community structure in the deep subseafloor biosphere by 16S r-DNA-based techniques: a cautionary tale. J. Microbiol Method 55:155164.[CrossRef][Medline]
Zak J. 1992. Response of soil fungi to disturbance. In: Carroll GC, Widklow DT, eds. The fungal community. 2nd ed. New York: Marcel Dekker. p 403425.
, Dobranic JK. 1999. A microtiter plate procedure for evaluating fungal functional diversity. Mycologia 91:756765.[CrossRef]
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