Functional Mapping of Genes Modulating Plant Shade Avoidance Using Leaf Traits.

Han Zhang, Yige Cao, Zijian Wang, Meixia Ye, Rongling Wu

Abstract read

In one paragraph

Article in Plants (Basel, Switzerland), 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

–field-weighted citation impact

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

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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.

Genome-wide association for multiple quantitative traits in forage oat germplasm based on specific length amplified fragment sequencing.Frontiers in plant science · 2025
Article
Variation in leaf functional traits ofFrontiers in plant science · 2025
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.

Han ZhangCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.ORCID 0000-0002-5868-7496

Yige CaoCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.

Zijian WangCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.

Meixia YeCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.

Rongling WuCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing 100083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shade avoidance syndrome (SAS) refers to a set of plant responses that increases light capture in dense stands. This process is crucial for plants in natural and agricultural environments as they compete for resources and avoid suboptimal conditions. Although the molecular, biochemical, and physiological mechanisms underlying the SAS response have been extensively studied, the genetic basis of developmental variation in leaves in regard to leaf area, petiole length, and leaf length (i.e., their allometric relationships) remains unresolved. In this study, with the recombinant inbred line (RIL) population, the developmental traits of leaves of

Indexed as

allometryfunctional mappingleafpetioleshade avoidance syndrome

Identifiers

PMID36771692

DOI10.3390/plants12030608

PMCPMC9920004

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.