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http://dx.doi.org/10.5762/KAIS.2017.18.12.466

Diversity Census of Fungi in the Ruminal Microbiome: A meta-analysis  

Song, Jaeyong (Animal Nutrition and Physiology Team, National Institute of Animal Science)
Jeong, Jin Young (Animal Nutrition and Physiology Team, National Institute of Animal Science)
Kim, Minseok (Animal Nutrition and Physiology Team, National Institute of Animal Science)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.18, no.12, 2017 , pp. 466-472 More about this Journal
Abstract
This study was designed to examine the diversity census of fungi in rumen microbiome via meta-analysis of fungal 28S rDNA sequences. Both terms, "rumen" and "ruminal," were searched to retrieve the sequences of rumen fungi. As of September 2016, these sequences (n=165) of ruminal origin were retrieved from the Ribosomal Database Project (RDP; http://rdp.cme.msu.edu), an archive of all 28S rDNA sequences and were assigned to the phyla Ascomycota, Neocallimastigomycota, and Basidiomycota, which accounted for 109, 48, and 8 of the 165 sequences, respectively. Ascomycota sequences were assigned to the genera Pseudonectria, Magnaporthe, Alternaria, Cochliobolus, Cladosporium, and Davidiella, including fungal plant pathogens or mycotoxigenic species. Moreover, Basidiomycota sequences were assigned to the genera Thanatephorus and Cryptococcus, including fungal plant pathogens. Furthermore, Neocallimastigomycota sequences were assigned to the genera Cyllamyces, Neocallimastix, Anaeromyces, Caecomyces, Orpinomyces, and Piromyces, which may degrade the major structural carbohydrates of the ingested plant material. This study provided a collective view of the rumen fungal diversity using a meta-analysis of 28S rDNA sequences. The present results will provide a direction for further studies on ruminal fungi and be applicable to the development of new analytic tools.
Keywords
28S rDNA sequences; fungal diversity; meta-analysis; RDP; rumen microbiome;
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