Evidence map›Paper›PMID 34751588›Full record

ArticlemSystems2021

Direct RNA Sequencing Unfolds the Complex Transcriptome of Vibrio parahaemolyticus.

Mohamad Al Kadi, Eiji Ishii, Dang Tat Truong, Daisuke Motooka, Shigeaki Matsuda, Tetsuya Iida, Toshio Kodama, Daisuke Okuzaki

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Co-transcriptional gene regulation in eukaryotes and prokaryotes.Nature reviews. Molecular cell biology · 2024
    Review
  6. Article
  7. Article
  8. Microbial Single-Cell Analysis: What Can We Learn From Mammalian?Frontiers in cell and developmental biology · 2021
    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

8 authors at 2 institutions in 1 country.

Mohamad Al KadiDepartment of Bacterial Infections, Research Institute for Microbial Diseases, Osaka Universitygrid.136593.b, Osaka, Japan.
Eiji IshiiDepartment of Bacterial Infections, Research Institute for Microbial Diseases, Osaka Universitygrid.136593.b, Osaka, Japan.
Dang Tat TruongDepartment of Infection Metagenomics, Research Institute for Microbial Diseases, Osaka Universitygrid.136593.b, Osaka, Japan.
Daisuke MotookaDepartment of Infection Metagenomics, Research Institute for Microbial Diseases, Osaka Universitygrid.136593.b, Osaka, Japan.
Shigeaki MatsudaDepartment of Bacterial Infections, Research Institute for Microbial Diseases, Osaka Universitygrid.136593.b, Osaka, Japan.
Tetsuya IidaDepartment of Bacterial Infections, Research Institute for Microbial Diseases, Osaka Universitygrid.136593.b, Osaka, Japan.
Toshio KodamaDepartment of Bacterial Infections, Research Institute for Microbial Diseases, Osaka Universitygrid.136593.b, Osaka, Japan.
Daisuke OkuzakiSingle Cell Genomics, Human Immunology, WPI Immunology Frontier Research Center, Osaka Universitygrid.136593.b, Osaka, Japan.ORCID 0000-0002-4552-783X
The University of Osaka · JPNagasaki University · JP

Funding

Japan Agency for Medical Research and Development (AMED) JP20wm0125006MEXT | Japan Science and Technology Agency (JST) JPMJCR15G1MEXT | Japan Society for the Promotion of Science (JSPS) 17K08829MEXT | Japan Society for the Promotion of Science (JSPS) 20K08356Takeda Science Foundation ( )Uehara Memorial Foundation ()
6 · The paper itself

Abstract

Conventional bacterial genome annotation provides information about coding sequences but ignores untranslated regions and operons. However, untranslated regions contain important regulatory elements as well as targets for many regulatory factors, such as small RNAs. Operon maps are also essential for functional gene analysis. In the last decade, considerable progress has been made in the study of bacterial transcriptomes through transcriptome sequencing (RNA-seq). Given the compact nature of bacterial genomes, many challenges still cannot be resolved through short reads generated using classical RNA-seq because of fragmentation and loss of the full-length information. Direct RNA sequencing is a technology that sequences the native RNA directly without information loss or bias. Here, we employed direct RNA sequencing to annotate the Vibrio parahaemolyticus transcriptome with its full features, including transcription start sites (TSSs), transcription termination sites, and operon maps. A total of 4,103 TSSs were identified. In comparison to short-read sequencing, full-length information provided a deeper view of TSS classification, showing that most internal and antisense TSSs were actually a result of gene overlap. Sequencing the transcriptome of V. parahaemolyticus grown with bile allowed us to study the landscape of pathogenicity island Vp-PAI. Some genes in this region were reannotated, providing more accurate annotation to increase precision in their characterization. Quantitative detection of operons in V. parahaemolyticus showed high complexity in some operons, shedding light on a greater extent of regulation within the same operon. Our study using direct RNA sequencing provides a quantitative and high-resolution landscape of the V. parahaemolyticus transcriptome.

Indexed as

nanoporepathogenicity islandsRNA-seqtranscriptomeVibrio parahaemolyticus

Identifiers

PMID34751588
PMCPMC8577284
OpenAlexW3211791511

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.