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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
Ion Torrent PGM as tool for fungal community analysis: A case study of endophytes in eucalyptus grandis reveals high taxonomic diversity
PLoS ONE, Volume 8, No. 12, Article e81718, Year 2013
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Description
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. © 2013 Kemler et al.
Available Materials
https://efashare.b-cdn.net/share/pmc/articles/PMC3864840/bin/pone.0081718.s001.pdf
https://efashare.b-cdn.net/share/pmc/articles/PMC3864840/bin/pone.0081718.s002.pdf
https://efashare.b-cdn.net/share/pmc/articles/PMC3864840/bin/pone.0081718.s003.pdf
https://efashare.b-cdn.net/share/pmc/articles/PMC3864840/bin/pone.0081718.s004.pdf
https://efashare.b-cdn.net/share/pmc/articles/PMC3864840/bin/pone.0081718.s005.pdf
https://efashare.b-cdn.net/share/pmc/articles/PMC3864840/bin/pone.0081718.s006.xlsx
https://efashare.b-cdn.net/share/pmc/articles/PMC3864840/bin/pone.0081718.s007.xlsx
https://efashare.b-cdn.net/share/pmc/articles/PMC3864840/bin/pone.0081718.s008.xlsx
https://efashare.b-cdn.net/share/pmc/articles/PMC3864840/bin/pone.0081718.s009.xlsx
https://efashare.b-cdn.net/share/pmc/articles/PMC3864840/bin/pone.0081718.s010.xlsx
Authors & Co-Authors
Kemler, Martin
South Africa, Pretoria
University of Pretoria
Garnas, Jeff R.
South Africa, Pretoria
University of Pretoria
Wingfield, Michael J.
South Africa, Pretoria
University of Pretoria
Gryzenhout, Marieka
South Africa, Bloemfontein
University of the Free State
Pillay, K.
South Africa, Pretoria
University of Pretoria
Slippers, Bernard
South Africa, Pretoria
University of Pretoria
Statistics
Citations: 82
Authors: 6
Affiliations: 2
Identifiers
Doi:
10.1371/journal.pone.0081718
e-ISSN:
19326203
Research Areas
Cancer
Study Design
Case Study
Study Approach
Qualitative
Study Locations
South Africa