Evidence map›Paper›PMID 32169029›Full record

ArticleBMC genetics2020

The genetic control of leaf allometry in the common bean, Phaseolus vulgaris.

Miaomiao Zhang, Shilong Zhang, Meixia Ye, Libo Jiang, C Eduardo Vallejos, Rongling Wu

Abstract read
In one paragraph

Article in BMC genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

6 authors.

Miaomiao ZhangCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.
Shilong ZhangCenter 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.
Libo JiangCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.
C Eduardo VallejosDepartment of Horticultural Sciences, University of Florida, Gainesville, FL, 326511, USA.
Rongling WuCenter for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China. rwu@bjfu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo maximize photosynthetic efficiency, plants have evolved a capacity by which leaf area scales allometrically with leaf mass through interactions with the environment. However, our understanding of genetic control of this allometric relationship remains limited.

resultsWe integrated allometric scaling laws expressed at static and ontogenetic levels into genetic mapping to identify the quantitative trait loci (QTLs) that mediate how leaf area scales with leaf mass and how such leaf allometry, under the control of these QTLs, varies as a response to environment change. A major QTL detected by the static model constantly affects the allometric growth of leaf area vs. leaf mass for the common bean (Phaseolus vulgaris) in two different environments. The ontogenetic model identified this QTL plus a few other QTLs that determine developmental trajectories of leaf allometry, whose expression is contingent heavily upon the environment.

conclusionsOur results gain new insight into the genetic mechanisms of how plants program their leaf morphogenesis to adapt to environmental perturbations.

Indexed as

Chromosome MappingCrosses, GeneticGene Expression RegulationGenotypePhaseolusPlant LeavesQuantitative Trait LociSeedsAllometric equationFunctional mappingLeaf growth traitsPhaseolus vulgarisQuantitative trait loci

Identifiers

PMID32169029
PMCPMC7071654

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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.