Evidence map›Paper›PMID 30184083›Full record

ArticleGenome biology and evolution2018

The Putative Smallest Introns in the Arabidopsis Genome.

Wenzhen Cheng, Yunlin Zhou, Xin Miao, Chuanjing An, Hongbo Gao

Open access · goldAbstract readLetter
In one paragraph

Article in Genome biology and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. ExceS-A: an exon-centric split aligner.Journal of integrative bioinformatics · 2022
    Article
  4. 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

5 authors at 1 institution in 1 country.

Wenzhen ChengCollege of Biological Sciences and Technology, Beijing Forestry University, China.
Yunlin ZhouCollege of Biological Sciences and Technology, Beijing Forestry University, China.
Xin MiaoCollege of Biological Sciences and Technology, Beijing Forestry University, China.
Chuanjing AnCollege of Biological Sciences and Technology, Beijing Forestry University, China.
Hongbo GaoCollege of Biological Sciences and Technology, Beijing Forestry University, China.
Beijing Forestry University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most eukaryotic genes contain introns, which are noncoding sequences that are removed during premRNA processing. Introns are usually preserved across evolutionary time. However, the sizes of introns vary greatly. In Arabidopsis, some introns are longer than 10 kilo base pairs (bp) and others are predicted to be shorter than 10 bp. To identify the shortest intron in the genome, we analyzed the predicted introns in annotated version 10 of the Arabidopsis thaliana genome and found 103 predicted introns that are 30 bp or shorter, which make up only 0.08% of all introns in the genome. However, our own bioinformatics and experimental analyses found no evidence for the existence of these predicted introns. The predicted introns of 30-39 bp, 40-49 bp, and 50-59 bp in length are also rare and constitute only 0.07%, 0.2%, and 0.28% of all introns in the genome, respectively. An analysis of 30 predicted introns 31-59 bp long verified two in this range, both of which were 59 bp long. Thus, this study suggests that there is a limit to how small introns in A. thaliana can be, which is useful for the understanding of the evolution and processing of small introns in plants in general.

Indexed as

Genome, PlantIntronsArabidopsisDNA, PlantEvolution, MolecularGenomicsDNA, Plant

Identifiers

PMID30184083
PMCPMC6161759
OpenAlexW2889278421

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.