Ion torrent PGM as tool for fungal community analysis : a case study of endophytes in eucalyptus grandis reveals high taxonomic diversity

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dc.contributor.author Kemler, Martin
dc.contributor.author Garnas, Jeffrey R.
dc.contributor.author Wingfield, Michael J.
dc.contributor.author Gryzenhout, Marieka
dc.contributor.author Pillay, Kerry-Anne
dc.contributor.author Slippers, Bernard
dc.contributor.editor Gilbert, Jack Anthony
dc.date.accessioned 2014-05-19T07:30:32Z
dc.date.available 2014-05-19T07:30:32Z
dc.date.issued 2013-12-16
dc.description.abstract The Kingdom Fungi adds substantially to the diversity of life, but due to their cryptic morphology and lifestyle, tremendous diversity, paucity of formally described specimens, and the difficulty in isolating environmental strains into culture, fungal communities are difficult to characterize. This is especially true for endophytic communities of fungi living in healthy plant tissue. The developments in next generation sequencing technologies are, however, starting to reveal the true extent of fungal diversity. One of the promising new technologies, namely semiconductor sequencing, has thus far not been used in fungal diversity assessments. In this study we sequenced the internal transcribed spacer 1 (ITS1) nuclear encoded ribosomal RNA of the endophytic community of the economically important tree, Eucalyptus grandis, from South Africa using the Ion Torrent Personal Genome Machine (PGM). We determined the impact of various analysis parameters on the interpretation of the results, namely different sequence quality parameter settings, different sequence similarity cutoffs for clustering and filtering of databases for removal of sequences with incomplete taxonomy. Sequence similarity cutoff values only had a marginal effect on the identified family numbers, whereas different sequence quality filters had a large effect (89 vs. 48 families between least and most stringent filters). Database filtering had a small, but statistically significant, effect on the assignment of sequences to reference sequences. The community was dominated by Ascomycota, and particularly by families in the Dothidiomycetes that harbor well-known plant pathogens. The study demonstrates that semiconductor sequencing is an ideal strategy for environmental sequencing of fungal communities. It also highlights some potential pitfalls in subsequent data analyses when using a technology with relatively short read lengths. en_US
dc.description.librarian am2014 en_US
dc.description.sponsorship The University of Pretoria postdoctoral fellowship for funding to MK. The project was funded by the IRT Genomics (University of Pretoria), the Tree Protection Co-operative Program (TPCP) and the DST/NRF Centre of Excellence in Tree Health Biotechnology (CTHB). en_US
dc.description.uri http://www.plosone.org en_US
dc.identifier.citation Kemler M, Garnas J, Wingfield MJ, Gryzenhout M, Pillay K-A, et al. (2013) Ion Torrent PGM as Tool for Fungal Community Analysis: A Case Study of Endophytes in Eucalyptus grandis Reveals High Taxonomic Diversity. PLoS ONE 8(12): e81718. DOI: 10.1371/journal.pone.0081718 en_US
dc.identifier.issn 1932-6203
dc.identifier.other 10.1371/journal.pone.0081718
dc.identifier.uri http://hdl.handle.net/2263/39810
dc.language.iso en en_US
dc.publisher Public Library of Science en_US
dc.rights © 2013 Kemler et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License en_US
dc.subject Ion torrent PGM en_US
dc.subject Kingdom Fungi en_US
dc.subject Diversity of life en_US
dc.subject Endophytic communities en_US
dc.subject Semiconductor sequencing en_US
dc.title Ion torrent PGM as tool for fungal community analysis : a case study of endophytes in eucalyptus grandis reveals high taxonomic diversity en_US
dc.type Article en_US


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