↓ Skip to main content

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

Overview of attention for article published in Microbes and environments, November 2017
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
56 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Library Construction from Subnanogram DNA for Pelagic Sea Water and Deep-Sea Sediments
Published in
Microbes and environments, November 2017
DOI 10.1264/jsme2.me17132
Pubmed ID
Authors

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

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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 27%
Student > Ph. D. Student 8 14%
Student > Doctoral Student 5 9%
Student > Bachelor 4 7%
Other 3 5%
Other 9 16%
Unknown 12 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 36%
Biochemistry, Genetics and Molecular Biology 9 16%
Environmental Science 4 7%
Engineering 2 4%
Medicine and Dentistry 2 4%
Other 6 11%
Unknown 13 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 March 2020.
All research outputs
#6,584,602
of 25,552,205 outputs
Outputs from Microbes and environments
#82
of 465 outputs
Outputs of similar age
#117,809
of 447,802 outputs
Outputs of similar age from Microbes and environments
#2
of 14 outputs
Altmetric has tracked 25,552,205 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 465 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 447,802 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.