Evidence map›Paper›PMID 38016639›Full record

ArticleJournal of the Royal Society, Interface2023

Assessing the impacts of genetic defects on starch metabolism in

Shuichi N Kudo, Carolina C M Bello, Anthony Artins, Camila Caldana, Akiko Satake

Open access · hybridAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-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, 2 citations in OpenAlex.

  1. Review
  2. Assessing the impacts of genetic defects on starch metabolism inJournal of the Royal Society, Interface · 2023
    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 2 institutions in 2 countries.

Shuichi N KudoGraduate School of Systems Life Science, Kyushu University, Fukuoka 819-0395, Japan.ORCID 0009-0003-9385-1794
Carolina C M BelloMax Planck Institute of Molecular Plant Physiology, Golm/Postdam 14476, Germany.
Anthony ArtinsMax Planck Institute of Molecular Plant Physiology, Golm/Postdam 14476, Germany.
Camila CaldanaMax Planck Institute of Molecular Plant Physiology, Golm/Postdam 14476, Germany.
Akiko SatakeDepartment of Biology, Faculty of Science, Kyushu University, Fukuoka 819-0395, Japan.ORCID 0000-0002-0831-8617
Max Planck Institute of Molecular Plant Physiology · DEKyushu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Starch serves as an important carbon storage mechanism for many plant species, facilitating their adaptation to the cyclic variations in the light environment, including day-night cycles as well as seasonal changes in photoperiod. By dynamically adjusting starch accumulation and degradation rates, plants maintain carbon homeostasis, enabling continuous growth under fluctuating environmental conditions. To understand dynamic nature of starch metabolism at the molecular level, it is necessary to integrate empirical knowledge from genetic defects in specific regulatory pathways into the dynamical system of starch metabolism. To achieve this, we evaluated the impact of genetic defects in the circadian clock, sugar sensing and starch degradation pathways using the carbon homeostasis model that encompasses the interplay between these pathways. Through the collection of starch metabolism data from 10

Indexed as

ArabidopsisArabidopsis ProteinsCircadian ClocksCarbonCircadian RhythmHomeostasisPhotoperiodStarchSugarsArabidopsis ProteinsCarbonStarchSugarsBayesian inferencecircadian clockmathematical modelphotoperiodstarch metabolismsucrose signalling

Identifiers

PMID38016639
PMCPMC10684347
OpenAlexW4389109941

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.