Evidence map›Paper›PMID 29187708›Full record

ArticleMicrobes and environments2017

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

Miho Hirai, Shinro Nishi, Miwako Tsuda, Michinari Sunamura, Yoshihiro Takaki, Takuro Nunoura

Abstract read
In one paragraph

Article in Microbes and environments, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

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  12. FourMicrobiology resource announcements · 2022
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  14. Symbiont Community Composition inApplied and environmental microbiology · 2022
    Article
  15. Article
  16. Multispecies Populations of MethanotrophicApplied and environmental microbiology · 2022
    Article
  17. Article
  18. Article
  19. One-YearApplied and environmental microbiology · 2021
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Miho HiraiResearch and Development (R&D) Center for Marine Biosciences, Japan Agency for Marine-Earth Science and Technology (JAMSTEC).
Shinro NishiResearch and Development (R&D) Center for Marine Biosciences, Japan Agency for Marine-Earth Science and Technology (JAMSTEC).
Miwako TsudaEcosystem Observation and Evaluation Methodology Research Unit, Project Team for Development of New-generation Research Protocol for Submarine Resources, Japan Agency for Marine-Earth Science and Technology (JAMSTEC).
Michinari SunamuraEcosystem Observation and Evaluation Methodology Research Unit, Project Team for Development of New-generation Research Protocol for Submarine Resources, Japan Agency for Marine-Earth Science and Technology (JAMSTEC).
Yoshihiro TakakiResearch and Development (R&D) Center for Marine Biosciences, Japan Agency for Marine-Earth Science and Technology (JAMSTEC).
Takuro NunouraResearch and Development (R&D) Center for Marine Biosciences, Japan Agency for Marine-Earth Science and Technology (JAMSTEC).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Base CompositionBase SequenceBiodiversityDNA, ArchaealDNA, BacterialDNA, ProtozoanGene LibraryGeologic SedimentsMetagenomeMetagenomicsSeawaterSequence Analysis, DNADNA, ArchaealDNA, BacterialDNA, Protozoanmarine microbiomemetagenomicssubnanogram DNA

Identifiers

PMID29187708
PMCPMC5745018

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.