Phylogenetically Structured Differences in rRNA Gene Sequence Variation among Species of Arbuscular Mycorrhizal Fungi and Their Implications for Sequence Clustering

Abstract

Arbuscular mycorrhizal (AM) fungi form mutualisms with plant roots that increase plant growth and shape plant communities. Each AM fungal cell contains a large amount of genetic diversity, but it is unclear if this diversity varies across evolutionary lineages. We found that sequence variation in the nuclear large-subunit (LSU) rRNA gene from 29 isolates representing 21 AM fungal species generally assorted into genus- and species-level clades, with the exception of species of the genera Claroideoglomus and Entrophospora . However, there were significant differences in the levels of sequence variation across the phylogeny and between genera, indicating that it is an evolutionarily constrained trait in AM fungi. These consistent patterns of sequence variation across both phylogenetic and taxonomic groups pose challenges to interpreting operational taxonomic units (OTUs) as approximations of species-level groups of AM fungi. We demonstrate that the OTUs produced by five sequence clustering methods using 97% or equivalent sequence similarity thresholds failed to match the expected species of AM fungi, although OTUs from AbundantOTU, CD-HIT-OTU, and CROP corresponded better to species than did OTUs from mothur or UPARSE. This lack of OTU-to-species correspondence resulted both from sequences of one species being split into multiple OTUs and from sequences of multiple species being lumped into the same OTU. The OTU richness therefore will not reliably correspond to the AM fungal species richness in environmental samples. Conservatively, this error can overestimate species richness by 4-fold or underestimate richness by one-half, and the direction of this error will depend on the genera represented in the sample.

Document Details

Document Type
Pub Defense Publication
Publication Date
Aug 15, 2016
Source ID
10.1128/aem.00816-16

Entities

People

  • Geoffrey Fox
  • Geoffrey L House
  • James David Bever
  • Saliya Ekanayake
  • Ursel M. E. Schütte
  • Wittaya Kaonongbua
  • Yang Ruan
  • Yuzhen Ye

Organizations

  • Indiana University
  • King Mongkut's University of Technology Thonburi
  • National Science Foundation
  • Strategic Environmental Research and Development Program

Tags

Fields of Study

  • Biology
  • Environmental science

Readers

  • Aquatic Ecology
  • Molecular Genetics
  • Regression Analysis.

Technology Areas

  • Biotechnology