Evidence map›Paper›PMID 33839995›Full record

ArticleJournal of plant research2021

Three-dimensional quantification of twisting in the Arabidopsis petiole.

Yuta Otsuka, Hirokazu Tsukaya

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Journal of plant research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Yuta OtsukaDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan.ORCID https://orcid.org/0000-0003-3872-4349
Hirokazu TsukayaDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-0033, Japan. tsukaya@bs.s.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0002-4430-4538
The University of Tokyo · JP

Funding

Japan Society for the Promotion of Science #18J20092Ministry of Education, Culture, Sports, Science and Technology #19H05672Ministry of Education, Culture, Sports, Science and Technology #25113002Sasakawa Scientific Resarch Grant (JP) #29-415University of Tokyo WINGS-LST
6 · The paper itself

Abstract

Organisms have a variety of three-dimensional (3D) structures that change over time. These changes include twisting, which is 3D deformation that cannot happen in two dimensions. Twisting is linked to important adaptive functions of organs, such as adjusting the orientation of leaves and flowers in plants to align with environmental stimuli (e.g. light, gravity). Despite its importance, the underlying mechanism for twisting remains to be determined, partly because there is no rigorous method for quantifying the twisting of plant organs. Conventional studies have relied on approximate measurements of the twisting angle in 2D, with arbitrary choices of observation angle. Here, we present the first rigorous quantification of the 3D twisting angles of Arabidopsis petioles based on light sheet microscopy. Mathematical separation of bending and twisting with strict definition of petiole cross-sections were implemented; differences in the spatial distribution of bending and twisting were detected via the quantification of angles along the petiole. Based on the measured values, we discuss that minute degrees of differential growth can result in pronounced twisting in petioles.

Indexed as

ArabidopsisArabidopsis ProteinsFlowersPlant LeavesArabidopsis Proteins3DArabidopsis thaliana (Arabidopsis)ImagingLeafPhototropismTwist

Identifiers

PMID33839995
PMCPMC8245369
OpenAlexW3155949997

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.