Evidence map›Paper›PMID 36205404›Full record

ArticleEssays in biochemistry2022

Eco-Evo-Devo of petal pigmentation patterning.

Alice L M Fairnie, May T S Yeo, Stefano Gatti, Emily Chan, Valentina Travaglia, Joseph F Walker, Edwige Moyroud

Abstract read
In one paragraph

Article in Essays in biochemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Frontiers in plant science · 2024
    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

7 authors.

Alice L M Fairnie *The Sainsbury Laboratory, University of Cambridge, Bateman Street, Cambridge CB2 1LR, U.K.
May T S Yeo *The Sainsbury Laboratory, University of Cambridge, Bateman Street, Cambridge CB2 1LR, U.K.
Stefano Gatti *The Sainsbury Laboratory, University of Cambridge, Bateman Street, Cambridge CB2 1LR, U.K.
Emily Chan *The Sainsbury Laboratory, University of Cambridge, Bateman Street, Cambridge CB2 1LR, U.K.
Valentina Travaglia *The Sainsbury Laboratory, University of Cambridge, Bateman Street, Cambridge CB2 1LR, U.K.
Joseph F Walker *The Sainsbury Laboratory, University of Cambridge, Bateman Street, Cambridge CB2 1LR, U.K.
Edwige Moyroud *The Sainsbury Laboratory, University of Cambridge, Bateman Street, Cambridge CB2 1LR, U.K.ORCID 0000-0001-7908-3205

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colourful spots, stripes and rings decorate the corolla of most flowering plants and fulfil important biotic and abiotic functions. Spatial differences in the pigmentation of epidermal cells can create these patterns. The last few years have yielded new data that have started to illuminate the mechanisms controlling the function, formation and evolution of petal patterns. These advances have broad impacts beyond the immediate field as pigmentation patterns are wonderful systems to explore multiscale biological problems: from understanding how cells make decisions at the microscale to examining the roots of biodiversity at the macroscale. These new results also reveal there is more to petal patterning than meets the eye, opening up a brand new area of investigation. In this mini-review, we summarise our current knowledge on the Eco-Evo-Devo of petal pigmentation patterns and discuss some of the most exciting yet unanswered questions that represent avenues for future research.

Indexed as

developmentevolutionpatterningPetalpigmentspollination

Identifiers

PMID36205404
PMCPMC9750854

What OpenQuestion holds

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LicenceCC BY
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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.