Evidence map›Paper›PMID 38538803›Full record

ArticleCommunications biology2024

Uncovering microbiomes of the rice phyllosphere using long-read metagenomic sequencing.

Sachiko Masuda, Pamela Gan, Yuya Kiguchi, Mizue Anda, Kazuhiro Sasaki, Arisa Shibata, Wataru Iwasaki, Wataru Suda, Ken Shirasu

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Species-level bacterial community shift in rice growth stages.Plant biotechnology (Tokyo, Japan) · 2025
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. 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

9 authors.

Sachiko MasudaRIKEN Center for Sustainable Resource Science, Kanagawa, Japan.
Pamela GanRIKEN Center for Sustainable Resource Science, Kanagawa, Japan.
Yuya KiguchiDepartment of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.
Mizue AndaDepartment of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-0238-1746
Kazuhiro SasakiInstitute for Sustainable Agro‑ecosystem Services, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
Arisa ShibataRIKEN Center for Sustainable Resource Science, Kanagawa, Japan.
Wataru IwasakiDepartment of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.ORCID 0000-0002-9169-9245
Wataru SudaRIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.
Ken ShirasuRIKEN Center for Sustainable Resource Science, Kanagawa, Japan. ken.shirasu@riken.jp.ORCID 0000-0002-0349-3870

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The plant microbiome is crucial for plant growth, yet many important questions remain, such as the identification of specific bacterial species in plants, their genetic content, and location of these genes on chromosomes or plasmids. To gain insights into the genetic makeup of the rice-phyllosphere, we perform a metagenomic analysis using long-read sequences. Here, 1.8 Gb reads are assembled into 26,067 contigs including 142 circular sequences. Within these contigs, 669 complete 16S rRNA genes are clustered into 166 bacterial species, 121 of which show low identity (<97%) to defined sequences, suggesting novel species. The circular contigs contain novel chromosomes and a megaplasmid, and most of the smaller circular contigs are defined as novel plasmids or bacteriophages. One circular contig represents the complete chromosome of a difficult-to-culture bacterium Candidatus Saccharibacteria. Our findings demonstrate the efficacy of long-read-based metagenomics for profiling microbial communities and discovering novel sequences in plant-microbiome studies.

Indexed as

MicrobiotaOryzaMetagenomePlasmidsRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID38538803
PMCPMC10973392

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.