Hostname: page-component-78c5997874-fbnjt Total loading time: 0 Render date: 2024-11-18T20:23:03.327Z Has data issue: false hasContentIssue false

Application of an automated ribosomal intergenic spacer analysis database for identification of cultured Antarctic fungi

Published online by Cambridge University Press:  06 November 2012

Caleb Slemmons
Affiliation:
University of Maine, School of Marine Sciences, 5735 Hitchner Hall, Orono, ME 04468, USA
Gregory Johnson
Affiliation:
University of Maine, School of Marine Sciences, 5735 Hitchner Hall, Orono, ME 04468, USA
Laurie B. Connell*
Affiliation:
University of Maine, School of Marine Sciences, 5735 Hitchner Hall, Orono, ME 04468, USA
*
*corresponding author: [email protected]

Abstract

We utilized an automated ribosomal intergenic spacer analysis (ARISA) method as a more rapid alternative to classical morphological/nutritional identification and a less expensive alternative to sequencing for identification and grouping of isolates in culture-based fungal abundance studies. This method is well suited for the study of culturable Antarctic soil fungal communities where both abundance and diversity are relatively low. We optimized template concentration and verified the effect of primer selection from eight commonly used fungal polymerase chain reaction primers on ARISA chromatographs for 46 fungal species commonly isolated from south Victoria Land. A database of Antarctic fungal electropherograms was produced containing each of the species and was used as the first step in a tiered system for species identification. In addition, isolates containing more than one species were identified, allowing isolates not in the database to be sequenced for further analysis. This method unambiguously identified 78% of the fungal taxa in this study and we were able to rapidly determine which isolates should be subjected to further analysis by DNA sequencing. Using this approach, the cost of analysis for abundance studies can be greatly reduced compared to DNA sequencing of each isolate.

Type
Biological Sciences
Copyright
Copyright © Antarctic Science Ltd 2012

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Connell, L.B., Redman, R.S., Craig, S.D.Rodriguez, R.J. 2006. Distribution and abundance of fungi in the soils of Taylor Valley, Antarctica. Soil Biology & Biochemistry, 38, 30833094.CrossRefGoogle Scholar
Connell, L.B., Redman, R.S., Craig, S.D., Scorzetti, G., Iszard, M.Rodriguez, R.J. 2008. Diversity of soil yeasts isolated from south Victoria Land, Antarctica. Microbial Ecology, 56, 448459.CrossRefGoogle Scholar
Connell, L.B., Redman, R.S., Rodriguez, R.J., Barrett, A., Iszard, M.Fonesca, Á. 2010. Dioszegia antarctica and D. cryoxerica spp. nov., two novel psychrophilic basidiomycetous yeasts from polar desert soils in Antarctica. International Journal of Systematic and Evolutionary Microbiology, 60, 14661472.CrossRefGoogle Scholar
Feinstein, L.M., Sul, W.J.Blackwood, C.B. 2009. Assessment of bias associated with incomplete extraction of microbial DNA from soil. Applied and Environmental Microbiology, 75, 54285433.CrossRefGoogle ScholarPubMed
Fell, J.W. 1993. Rapid identification of yeast species using three primers in a polymerase chain reaction. Molecular Marine Biology and Biotechnology, 2, 174180.Google ScholarPubMed
Fell, J.W., Scorzetti, G., Connell, L.B.Craig, S.D. 2006. Biodiversity of micro-eukaryotes in Antarctic Dry Valley soil with < 5% soil moisture. Soil Biology & Biochemistry, 38, 31073119.CrossRefGoogle Scholar
Fisher, M.M.Triplett, E.W. 1999. Automated approach for ribosomal intergenic spacer analysis of microbial diversity and its application to freshwater bacterial communities. Applied and Environmental Microbiology, 65, 46304636.CrossRefGoogle ScholarPubMed
Fisher, S.G.Lerman, L.S. 1980. Separation of random fragments of DNA according to properties of their sequences. Proceeding National Academy of Sciences of the United States of America, 77, 44204424.CrossRefGoogle Scholar
Gardes, M.Bruns, T.D. 1993. ITS primers with enhanced specificity for basidiomycetes - application to the identification of mycorrhizae and rusts. Molecular Ecology, 2, 113118.CrossRefGoogle Scholar
Kellogg, T.B., Kellogg, D.E.Stuiver, M. 1990. Late Quaternary history of the southwestern Ross Sea: evidence from debris bands on the McMurdo Ice Shelf, Antarctica. Antarctic Research Series, 50, 2556.CrossRefGoogle Scholar
Kiesling, T.L., Diaz, M.R., Statzell-Tallman, A.Fell, J.W. 2002. Field identification of marine yeasts using DNA hybridization macroarrays. In Hyde, K.D., ed. Marine mycology: the organisms, ecology and applied aspects. Hong Kong: Fungal Diversity Press, 6980.Google Scholar
Kunin, V., Engelbrektson, A., Ochman, H.Hugenholtz, P. 2010. Wrinkles in the rare biosphere: pyrosequencing errors lead to artificial inflation of diversity estimates. Environmental Microbiology, 12, 118123.CrossRefGoogle ScholarPubMed
Kurtzman, C.P. 2006. Yeast species recognition from gene sequence analysis and other molecular methods. Mycoscience, 47, 6571.CrossRefGoogle Scholar
Lachance, M.-A., Daniel, M.H., Meyer, W., Prasad, G., Gautam, S.P.Boundy-Mills, K. 2003. The D1/D2 domain of the large subunit rDNA of the yeast species Clavispora lusitaniae is unusually polymorphic. FEMS Yeast Research, 4, 253258.CrossRefGoogle ScholarPubMed
Martin, K.Rygiewicz, P.T. 2005. Fungal-specific PCR primers developed for analysis of the ITS region of environmental DNA extracts. BMC Microbiology, 5, 111.CrossRefGoogle ScholarPubMed
Okubo, A.Sugiyama, S.-I. 2009. Comparison of molecular fingerprinting methods for analysis of soil microbial community structure. Ecological Research, 24, 13991405.CrossRefGoogle Scholar
Onofri, S., Zucconi, L.Tosi, S. 2007. Continental Antarctic fungi. München: IHW, 247 pp.Google Scholar
Popa, R., Popa, R., Marshall, M.J., Nguyen, H., Tebo, B.M.Brauer, S. 2009. Limitations and benefits of ARISA intra-genomic diversity fingerprinting. Journal of Microbiological Methods, 78, 111118.CrossRefGoogle ScholarPubMed
Rodriguez, R.J., Cullen, D., Kurtzman, C.P., Khachatourians, G.G.Hegedua, D.D. 2004. Molecular methods for discrimating taxa, monitoring species, and assessing fungal diversity. In Mueller, G.M., Bills, G.F. & Foster, M.S., eds. Biodiversity of fungi: inventory and monitoring methods. Burlington MA: Elsevier, 77102.CrossRefGoogle Scholar
Slabbert, E., van Heerden, C.J.Jacobs, K. 2010. Optimization of automated ribosomal intergenic spacer analysis for the estimation of microbial diversity in fynbos soil. South African Journal of Science, 10.4102/sajs. v106i7/8.329.CrossRefGoogle Scholar
Smit, E., Leeflang, P., Glandorf, B., van Elsas, J.D.Wernars, K. 1999. Analysis of fungal diversity in the wheat rhizosphere by sequencing of cloned PCR-amplified genes encoding 18s rRNA and temperature gradient electrophoresis. Applied and Environmental Microbiology, 65, 26142621.CrossRefGoogle Scholar
White, T.J., Bruns, T., Lee, S.Taylor, J. 1990. Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics. In Innis, M., Gelfand, J., Sninsky, J. & White, T.J., eds. PCR protocols: a guide to methods and applications. Orlando, FL: Academic Press, 315322.Google Scholar
Zalar, P., Sonjak, S.Gunde-Cimerman, N. 2012. Fungi in polar environments. In Miller, R.V. & Whyte, L.G., eds. Polar microbiology: life in a deep freeze. Washington, DC: ASM Press, 7999.Google Scholar
Supplementary material: File

Slemmons supplementary material

Appendix

Download Slemmons supplementary material(File)
File 40.4 KB