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DNA Res. 2018 Apr 1;25(2):217-227. doi: 10.1093/dnares/dsx051.

Ultra-low input transcriptomics reveal the spore functional content and phylogenetic affiliations of poorly studied arbuscular mycorrhizal fungi.

Author information

1
Department of Biology, University of Ottawa, Ottawa, Ontario K1N 6N5, Canada.
2
Agriculture and Agri-Food Canada, 960 Carling Ave, Ottawa, Ontario K1A 0C6, Canada.
3
Fasteris SA, Chemin du Pont-du-Centenaire 109, Geneva 1228, Switzerland.
4
Department of Plant Pathology & Microbiology and Institute for Integrative Genome Biology, University of California, Riverside, Riverside, CA 92521, USA.

Abstract

Arbuscular mycorrhizal fungi (AMF) are a group of soil microorganisms that establish symbioses with the vast majority of land plants. To date, generation of AMF coding information has been limited to model genera that grow well axenically; Rhizoglomus and Gigaspora. Meanwhile, data on the functional gene repertoire of most AMF families is non-existent. Here, we provide primary large-scale transcriptome data from eight poorly studied AMF species (Acaulospora morrowiae, Diversispora versiforme, Scutellospora calospora, Racocetra castanea, Paraglomus brasilianum, Ambispora leptoticha, Claroideoglomus claroideum and Funneliformis mosseae) using ultra-low input ribonucleic acid (RNA)-seq approaches. Our analyses reveals that quiescent spores of many AMF species harbour a diverse functional diversity and solidify known evolutionary relationships within the group. Our findings demonstrate that RNA-seq data obtained from low-input RNA are reliable in comparison to conventional RNA-seq experiments. Thus, our methodology can potentially be used to deepen our understanding of fungal microbial function and phylogeny using minute amounts of RNA material.

PMID:
29211832
PMCID:
PMC5909441
DOI:
10.1093/dnares/dsx051
[Indexed for MEDLINE]
Free PMC Article

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