Evidence map›Paper›PMID 26410303›Full record

ArticleThe Plant cell2015

Divergence in Patterns of Leaf Growth Polarity Is Associated with the Expression Divergence of miR396.

Mainak Das Gupta, Utpal Nath

Open access · bronzeAbstract read
In one paragraph

Article in The Plant cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
22.2field-weighted citation impact, top 1% 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

49 citing papers in PubMed, 103 citations in OpenAlex.

  1. Article
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  6. Developmental timing in plants.Nature communications · 2024
    Review
  7. Review
  8. Article
  9. Anatomical Mechanisms of Leaf Blade Morphogenesis inPlants (Basel, Switzerland) · 2024
    Article
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  11. Article
  12. Article
  13. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Mainak Das GuptaDepartment of Microbiology and Cell Biology, Indian Institute of Science, Bangalore 560 012, India.ORCID http://orcid.org/0000-0001-9657-9835
Utpal NathDepartment of Microbiology and Cell Biology, Indian Institute of Science, Bangalore 560 012, India utpal@mcbl.iisc.ernet.in.ORCID http://orcid.org/0000-0002-5537-5876
Indian Institute of Science Bangalore · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lateral appendages often show allometric growth with a specific growth polarity along the proximo-distal axis. Studies on leaf growth in model plants have identified a basipetal growth direction with the highest growth rate at the proximal end and progressively lower rates toward the distal end. Although the molecular mechanisms governing such a growth pattern have been studied recently, variation in leaf growth polarity and, therefore, its evolutionary origin remain unknown. By surveying 75 eudicot species, here we report that leaf growth polarity is divergent. Leaf growth in the proximo-distal axis is polar, with more growth arising from either the proximal or the distal end; dispersed with no apparent polarity; or bidirectional, with more growth contributed by the central region and less growth at either end. We further demonstrate that the expression gradient of the miR396-GROWTH-REGULATING FACTOR module strongly correlates with the polarity of leaf growth. Altering the endogenous pattern of miR396 expression in transgenic Arabidopsis thaliana leaves only partially modified the spatial pattern of cell expansion, suggesting that the diverse growth polarities might have evolved via concerted changes in multiple gene regulatory networks.

Indexed as

Gene Expression Regulation, PlantArabidopsisCell ProliferationGene Expression Regulation, DevelopmentalGene Regulatory NetworksMicroRNAsPhenotypePlant LeavesPlants, Genetically ModifiedMicroRNAsMIRN396 microRNA, Arabidopsis

Identifiers

PMID26410303
PMCPMC4682314
OpenAlexW2188409468

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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.