4.1 Article

Library Construction from Subnanogram DNA for Pelagic Sea Water and Deep-Sea Sediments

期刊

MICROBES AND ENVIRONMENTS
卷 32, 期 4, 页码 336-343

出版社

JAPANESE SOC MICROBIAL ECOLOGY, DEPT BIORESOURCE SCIENCE
DOI: 10.1264/jsme2.ME17132

关键词

metagenomics; subnanogram DNA; marine microbiome

资金

  1. Council for Science, Technology and Innovation (CSTI), Cross-ministerial Strategic Innovation Promotion Program (SIP)
  2. Japan Society for the Promotion of Science (JSPS) [26550023]
  3. research project Tohoku Ecosystem-Associated Marine Sciences from the Ministry of Education, Culture, Sports, Science, and Technology
  4. Grants-in-Aid for Scientific Research [26550023] Funding Source: KAKEN

向作者/读者索取更多资源

Shotgun metagenomics is a low biased technology for assessing environmental microbial diversity and function. However, the requirement for a sufficient amount of DNA and the contamination of inhibitors in environmental DNA leads to difficulties in constructing a shotgun metagenomic library. We herein examined metagenomic library construction from subnanogram amounts of input environmental DNA from subarctic surface water and deep-sea sediments using two library construction kits: the KAPA Hyper Prep Kit and Nextera XT DNA Library Preparation Kit, with several modifications. The influence of chemical contaminants associated with these environmental DNA samples on library construction was also investigated. Overall, shotgun metagenomic libraries were constructed from 1 pg to 1 ng of input DNA using both kits without harsh library microbial contamination. However, the libraries constructed from 1 pg of input DNA exhibited larger biases in GC contents, k-mers, or small subunit (SSU) rRNA gene compositions than those constructed from 10 pg to 1 ng DNA. The lower limit of input DNA for low biased library construction in this study was 10 pg. Moreover, we revealed that technology-dependent biases (physical fragmentation and linker ligation vs. tagmentation) were larger than those due to the amount of input DNA.

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