論文

査読有り
2017年12月

A Simple and Efficient RNA Extraction Method from Deep-Sea Hydrothermal Vent Chimney Structures

MICROBES AND ENVIRONMENTS
  • Hisashi Muto
  • ,
  • Yoshihiro Takaki
  • ,
  • Miho Hirai
  • ,
  • Sayaka Mino
  • ,
  • Shigeki Sawayama
  • ,
  • Ken Takai
  • ,
  • Satoshi Nakagawa

32
4
開始ページ
330
終了ページ
335
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1264/jsme2.ME17048
出版者・発行元
JAPANESE SOC MICROBIAL ECOLOGY, DEPT BIORESOURCE SCIENCE

RNA-based microbiological analyses, e.g., transcriptome and reverse transcription-quantitative PCR, require a relatively large amount of high quality RNA. RNA-based analyses on microbial communities in deep-sea hydrothermal environments often encounter methodological difficulties with RNA extraction due to the presence of unique minerals in and the low biomass of samples. In the present study, we assessed RNA extraction methods for deep-sea vent chimneys that had complex mineral compositions. Mineral-RNA adsorption experiments were conducted using mock chimney minerals and Escherichia coli total RNA solution, and showed that detectable RNA significantly decreased possibly due to adsorption onto minerals. This decrease in RNA was prevented by the addition of sodium tripolyphosphate (STPP), deoxynucleotide triphosphates (dNTPs), salmon sperm DNA, and NaOH. The addition of STPP was also effective for RNA extraction from the mixture of E. coli cells and mock chimney minerals when TRIzol reagent and the RNeasy column were used, but not when the RNeasy PowerSoil total RNA kit was used. A combination of STPP, TRIzol reagent, the RNeasy column, and sonication resulted in the highest RNA yield from a natural chimney. This indirect extraction procedure is simple, rapid, inexpensive, and may be used for large-scale RNA extraction.

リンク情報
DOI
https://doi.org/10.1264/jsme2.ME17048
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/29187693
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000418695100005&DestApp=WOS_CPL
ID情報
  • DOI : 10.1264/jsme2.ME17048
  • ISSN : 1342-6311
  • PubMed ID : 29187693
  • Web of Science ID : WOS:000418695100005

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