Literature DB >> 31599091

Exploring the accuracy of amplicon-based internal transcribed spacer markers for a fungal community.

Shuzhen Li1,2, Ye Deng2,3, Zhujun Wang2,3, Zhaojing Zhang1,2, Xiao Kong2, Wenjun Zhou4,5, Yanyun Yi4,5, Yuanyuan Qu1.   

Abstract

With the continual improvement in high-throughput sequencing technology and constant updates to fungal reference databases, the use of amplicon-based DNA markers as a tool to reveal fungal diversity and composition in various ecosystems has become feasible. However, both primer selection and the experimental procedure require meticulous verification. Here, we computationally and experimentally evaluated the accuracy and specificity of three widely used or newly designed internal transcribed spacer (ITS) primer sets (ITS1F/ITS2, gITS7/ITS4 and 5.8S-Fun/ITS4-Fun). In silico evaluation revealed that primer coverage varied at different taxonomic levels due to differences in degeneracy and the location of primer sets. Using even and staggered mock community standards, we identified different proportions of chimeric and mismatch reads generated by different primer sets, as well as great variation in species abundances, suggesting that primer selection would affect the results of amplicon-based metabarcoding studies. Choosing proofreading and high-fidelity polymerase (KAPA HiFi) could significantly reduce the percentage of chimeric and mismatch sequences, further reducing inflation of operational taxonomic units. Moreover, for two types of environmental fungal communities, plant endophytic and soil fungi, it was demonstrated that the three primer sets could not reach a consensus on fungal community composition or diversity, and that primer selection, not experimental treatment, determines observed soil fungal community diversity and composition. Future DNA marker surveys should pay greater attention to potential primer effects and improve the experimental scheme to increase credibility and accuracy.
© 2019 John Wiley & Sons Ltd.

Entities:  

Keywords:  fungal diversity; high-throughput sequencing; metabarcoding; mock communities; polymerase; primer

Mesh:

Substances:

Year:  2019        PMID: 31599091     DOI: 10.1111/1755-0998.13097

Source DB:  PubMed          Journal:  Mol Ecol Resour        ISSN: 1755-098X            Impact factor:   7.090


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