Evidence map›Paper›PMID 31364694›Full record

ArticleDNA research : an international journal for rapid publication of reports on genes and genomes2019

Comparison of the sequencing bias of currently available library preparation kits for Illumina sequencing of bacterial genomes and metagenomes.

Mitsuhiko P Sato, Yoshitoshi Ogura, Keiji Nakamura, Ruriko Nishida, Yasuhiro Gotoh, Masahiro Hayashi, Junzo Hisatsune, Motoyuki Sugai, Itoh Takehiko, Tetsuya Hayashi

Abstract readComparative Study
In one paragraph

Article in DNA research : an international journal for rapid publication of reports on genes and genomes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers.

0numbers the graph read from it
0cells of the map it votes in
85citing 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

85 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

25 more citing papers are in PubMed but not listed here.

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

10 authors.

Mitsuhiko P SatoDepartment of Bacteriology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Fukuoka, Japan.
Yoshitoshi OguraDepartment of Bacteriology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Fukuoka, Japan.
Keiji NakamuraDepartment of Bacteriology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Fukuoka, Japan.
Ruriko NishidaDepartment of Bacteriology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Fukuoka, Japan.
Yasuhiro GotohDepartment of Bacteriology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Fukuoka, Japan.
Masahiro HayashiDivision of Anaerobe Research, Life Science Research Center, Gifu University, Gifu, Gifu, Japan.
Junzo HisatsuneProject Research Center for Nosocomial Infectious Diseases, Hiroshima University, Hiroshima, Hiroshima, Japan.
Motoyuki SugaiProject Research Center for Nosocomial Infectious Diseases, Hiroshima University, Hiroshima, Hiroshima, Japan.
Itoh TakehikoDepartment of Biological Information, Tokyo Institute of Technology, Tokyo, Japan.
Tetsuya HayashiDepartment of Bacteriology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Fukuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In bacterial genome and metagenome sequencing, Illumina sequencers are most frequently used due to their high throughput capacity, and multiple library preparation kits have been developed for Illumina platforms. Here, we systematically analysed and compared the sequencing bias generated by currently available library preparation kits for Illumina sequencing. Our analyses revealed that a strong sequencing bias is introduced in low-GC regions by the Nextera XT kit. The level of bias introduced is dependent on the level of GC content; stronger bias is generated as the GC content decreases. Other analysed kits did not introduce this strong sequencing bias. The GC content-associated sequencing bias introduced by Nextera XT was more remarkable in metagenome sequencing of a mock bacterial community and seriously affected estimation of the relative abundance of low-GC species. The results of our analyses highlight the importance of selecting proper library preparation kits according to the purposes and targets of sequencing, particularly in metagenome sequencing, where a wide range of microbial species with various degrees of GC content is present. Our data also indicate that special attention should be paid to which library preparation kit was used when analysing and interpreting publicly available metagenomic data.

Indexed as

Genome, BacterialMetagenomeBacteriaBase CompositionHigh-Throughput Nucleotide SequencingSequence Analysis, DNAbacterial genome sequencingIllumina sequencinglibrary preparation kitsmetagenome sequencingsequencing bias

Identifiers

PMID31364694
PMCPMC6796507

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.