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



Arbuscular mycorrhizal (AM) fungi form important mutualisms with the roots of most plant species. Individual AM fungi are genetically diverse, but it is unclear whether the level of this diversity differs among evolutionary lineages. We found that the amount of sequence variation in an rRNA gene that is commonly used to identify AM fungal species varied significantly between evolutionary groups that correspond to different genera, with the exception of two genera that are genetically indistinguishable from each other. When we clustered groups of similar sequences into operational taxonomic units (OTUs) using five different clustering methods, these patterns of sequence variation caused the number of OTUs to either over- or underestimate the actual number of AM fungal species, depending on the genus. Our results indicate that OTU-based inferences about AM fungal species composition from environmental sequences can be improved if they take these taxonomically structured patterns of sequence variation into account.
Department of Biology, Indiana University, Bloomington, Indiana, USA glhouse@indiana.edu.
Geoffrey L
GL
House
School of Informatics and Computing, Indiana University, Bloomington, Indiana, USA.
Saliya
S
Ekanayake
School of Informatics and Computing, Indiana University, Bloomington, Indiana, USA.
Yang
Y
Ruan
Department of Biology, Indiana University, Bloomington, Indiana, USA Integrated Program in the Environment, Indiana University, Bloomington, Indiana, USA.
Ursel M E
UM
Schütte
Department of Microbiology, Faculty of Science, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.
Wittaya
W
Kaonongbua
School of Informatics and Computing, Indiana University, Bloomington, Indiana, USA.
Geoffrey
G
Fox
School of Informatics and Computing, Indiana University, Bloomington, Indiana, USA.
Yuzhen
Y
Ye
Department of Biology, Indiana University, Bloomington, Indiana, USA.
James D
JD
Bever
D016000:Cluster Analysis; D005800:Genes, Fungal; D020459:Genes, rRNA; D014644:Genetic Variation; D038821:Mycorrhizae / Q000145:classification / Q000235:genetics*; D010802:Phylogeny; D017422:Sequence Analysis, DNA