Evidence map›Paper›PMID 38436548›Full record

ArticleMicrobiologyOpen2024

The copy number of the eukaryotic rRNA gene can be counted comprehensively.

Akinori Yabuki, Tatsuhiko Hoshino, Tamiko Nakamura, Keiko Mizuno

Open access · goldAbstract read
In one paragraph

Article in MicrobiologyOpen, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Assessing Human Ribosomal DNA Variation and Its Association With Phenotypic Outcomes.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  3. 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

4 authors at 1 institution in 1 country.

Akinori YabukiResearch Institute for Global Change, Japan Agency for Marine-Earth Science and Technology, Yokosuka, Kanagawa, Japan.ORCID 0000-0002-4070-0226
Tatsuhiko HoshinoAdvanced Institute for Marine Ecosystem Change (WPI-AIMEC), Yokosuka, Kanagawa, Japan.
Tamiko NakamuraResearch Institute for Global Change, Japan Agency for Marine-Earth Science and Technology, Yokosuka, Kanagawa, Japan.
Keiko MizunoResearch Institute for Global Change, Japan Agency for Marine-Earth Science and Technology, Yokosuka, Kanagawa, Japan.
Japan Agency for Marine-Earth Science and Technology · JP

Funding

Japan Society for the Promotion of Science 20K06792Japan Society for the Promotion of Science 21K19876World Premier International Research Center Initiative (WPI Initiative), MEXT, Japan
6 · The paper itself

Abstract

Gene sequence has been widely used in molecular ecology. For instance, the ribosomal RNA (rRNA) gene has been widely used as a biological marker to understand microbial communities. The variety of the detected rRNA gene sequences reflects the diversity of the microorganisms existing in the analyzed sample. Their biomass can also be estimated by applying quantitative sequencing with information on rRNA gene copy numbers in genomes; however, information on rRNA gene copy numbers is still limited. Especially, the copy number in microbial eukaryotes is much less understood than that of prokaryotes, possibly because of the large and complex structure of eukaryotic genomes. In this study, we report an alternative approach that is more appropriate than the existing method of quantitative sequencing and demonstrate that the copy number of eukaryotic rRNA can be measured efficiently and comprehensively. By applying this approach widely, information on the eukaryotic rRNA copy number can be determined, and their community structures can be depicted and compared more efficiently.

Indexed as

DNA Copy Number VariationsMicrobiotaBiomassGene DosageGenes, rRNARNA, RibosomalRNA, RibosomalbiodiversitydiplonemidsecologyeDNAenvironmental microbiologyprotists

Identifiers

PMID38436548
PMCPMC10910464
OpenAlexW4392375543

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.