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Comparative Study of Metagenomics and Metatranscriptomics to Reveal Microbiomes in Overwintering Pepper Fruits.
Jo, Yeonhwa; Back, Chang-Gi; Kim, Kook-Hyung; Chu, Hyosub; Lee, Jeong Hun; Moh, Sang Hyun; Cho, Won Kyong.
Afiliación
  • Jo Y; Research Institute of Agriculture and Life Sciences, College of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea.
  • Back CG; Horticultural and Herbal Crop Environment Division, National Institute of Horticultural and Herbal Science, RDA, Wanju 55365, Korea.
  • Kim KH; Research Institute of Agriculture and Life Sciences, College of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea.
  • Chu H; R&D Division, BERTIS Inc., Seongnam-si 13605, Korea.
  • Lee JH; Anti-Aging Research Institute of BIO-FD&C Co., Ltd., Incheon 21990, Korea.
  • Moh SH; Anti-Aging Research Institute of BIO-FD&C Co., Ltd., Incheon 21990, Korea.
  • Cho WK; Research Institute of Agriculture and Life Sciences, College of Agriculture and Life Sciences, Seoul National University, Seoul 08826, Korea.
Int J Mol Sci ; 22(12)2021 Jun 08.
Article en En | MEDLINE | ID: mdl-34201359
Red pepper (Capsicum annuum, L.), is one of the most important spice plants in Korea. Overwintering pepper fruits are a reservoir of various microbial pepper diseases. Here, we conducted metagenomics (DNA sequencing) and metatranscriptomics (RNA sequencing) using samples collected from three different fields. We compared two different library types and three different analytical methods for the identification of microbiomes in overwintering pepper fruits. Our results demonstrated that DNA sequencing might be useful for the identification of bacteria and DNA viruses such as bacteriophages, while mRNA sequencing might be beneficial for the identification of fungi and RNA viruses. Among three analytical methods, KRAKEN2 with raw data reads (KRAKEN2_R) might be superior for the identification of microbial species to other analytical methods. However, some microbial species with a low number of reads were wrongly assigned at the species level by KRAKEN2_R. Moreover, we found that the databases for bacteria and viruses were better established as compared to the fungal database with limited genome data. In summary, we carefully suggest that different library types and analytical methods with proper databases should be applied for the purpose of microbiome study.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Virus ARN / Bacterias / Capsicum / Virus ADN / Metagenoma / Transcriptoma / Frutas Idioma: En Revista: Int J Mol Sci Año: 2021 Tipo del documento: Article Pais de publicación: Suiza

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Virus ARN / Bacterias / Capsicum / Virus ADN / Metagenoma / Transcriptoma / Frutas Idioma: En Revista: Int J Mol Sci Año: 2021 Tipo del documento: Article Pais de publicación: Suiza