Evidence map›Paper›PMID 32561882›Full record

ArticleScientific reports2020

Dimorphic flowers modify the visitation order of pollinators from male to female flowers.

Kaoru Tsuji, Kazuya Kobayashi, Eisuke Hasegawa, Jin Yoshimura

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Notes to the Taxonomic Affiliation of theInternational journal of molecular sciences · 2023
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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

4 authors.

Kaoru Tsuji *Center of Ecological Research, Kyoto University, Otsu, Shiga, 520-2113, Japan. tsuji@ecology.kyoto-u.ac.jp.ORCID http://orcid.org/0000-0001-5020-5184
Kazuya Kobayashi *Hokkaido Forest Research Station, Field Science Education and Research Center, Kyoto University, 553 Tawa, Shibecha-cho, Kawakami-gun, Hokkaido, 088-2339, Japan.ORCID http://orcid.org/0000-0002-9475-6807
Eisuke HasegawaLaboratory of Animal Ecology, Department of Ecology and Systematics, Graduate School of Agriculture, Hokkaido University, Hokkaido, 060-8589, Japan.
Jin YoshimuraDepartment of Mathematical and Systems Engineering, Shizuoka University, Hamamatsu, Japan. yoshimura.jin@shizuoka.ac.jp.ORCID http://orcid.org/0000-0003-1610-1386

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sexual dimorphism is a pervasive form of variation within species. Understanding how and why sexual dimorphism evolves would contribute to elucidating the mechanisms underlying the diversification of traits. In flowering plants, pollinators are considered a driver of sexual dimorphism when they affect female and male plant fitness in distinct ways. Here, we found that flowers appear to manipulate the behavior of pollinators using sexually dimorphic traits in the dioecious tree Eurya japonica. In this plant, female flowers present a higher-quality reward for pollinators, whereas male flowers have a more conspicuous appearance. Plants benefit by inducing pollinators to carry pollen from male to female flowers, and their sexual dimorphism might thus facilitate pollen movement through pollinator behavior. In two-choice experiments, pollinators frequently moved from male to female flowers, whereas computer simulation suggested that sexually dimorphic traits would evolve if pollinators changed behavior depending on the traits of the flowers they had just visited. These results suggest that the floral traits affecting the visiting order of pollinators have evolved in plants. Using E. japonica, we theoretically show that the induction of sequential behavior in pollinators might be crucial to the evolution of sexual dimorphism in flowers, and our experiments support these findings.

Indexed as

Computer SimulationEricalesFlowersMagnoliopsidaPhenotypePollenPollinationSex Characteristics

Identifiers

PMID32561882
PMCPMC7305190

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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.