Evidence map›Paper›PMID 26319515›Full record

ArticlePlant molecular biology2015

A transcriptomic approach to identify regulatory genes involved in fruit set of wild-type and parthenocarpic tomato genotypes.

Fabrizio Ruiu, Maurizio Enea Picarella, Shunsuke Imanishi, Andrea Mazzucato

Abstract read
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In one paragraph

Article in Plant molecular biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.2field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 28 citations in OpenAlex.

  1. Hormonal Regulation of Avocado (Plant-environment interactions (Hoboken, N.J.) · 2025
    Article
  2. Article
  3. Review
  4. Impact of diverse exogenous hormones on parthenocarpy, yield, and quality of pepino (Physiology and molecular biology of plants : an international journal of functional plant biology · 2024
    Article
  5. Genetic and molecular mechanisms underlying theFrontiers in plant science · 2024
    Article
  6. Article
  7. Frontiers in plant science · 2021
    Article
  8. Article
  9. Review
  10. Article
  11. Primary Metabolism in Avocado Fruit.Frontiers in plant science · 2019
    Review
  12. Review
  13. Article
  14. Article
  15. Phenotypic, genetic and molecular characterization of 7B-1, a conditional male-sterile mutant in tomato.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017
    Article
  16. Article
  17. Article
  18. Article
  19. 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

4 authors at 3 institutions in 2 countries.

Fabrizio RuiuDepartment of Science and Technologies for Agriculture, Forestry, Nature and Energy (DAFNE), University of Tuscia, Via S.C. de Lellis snc, 01100, Viterbo, Italy.
Maurizio Enea PicarellaDepartment of Science and Technologies for Agriculture, Forestry, Nature and Energy (DAFNE), University of Tuscia, Via S.C. de Lellis snc, 01100, Viterbo, Italy.
Shunsuke ImanishiNARO Institute of Vegetable and Tea Science, National Agriculture and Food Research Organization (NARO), 360 Kusawa, Ano, Tsu, Mie, 514-2392, Japan.
Andrea MazzucatoDepartment of Science and Technologies for Agriculture, Forestry, Nature and Energy (DAFNE), University of Tuscia, Via S.C. de Lellis snc, 01100, Viterbo, Italy. mazz@unitus.it.
Università degli Studi della Tuscia · ITInstitute of Vegetable and Floriculture Science · JPUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tomato parthenocarpic fruit (pat) mutation associates a strong competence for parthenocarpy with homeotic transformation of anthers and aberrancy of ovules. To dissect this complex floral phenotype, genes involved in the pollination-independent fruit set of the pat mutant were investigated by microarray analysis using wild-type and mutant ovaries. Normalized expression data were subjected to one-way ANOVA and 2499 differentially expressed genes (DEGs) displaying a >1.5 log-fold change in at least one of the pairwise comparisons analyzed were detected. DEGs were categorized into 20 clusters and clusters classified into five groups representing transcripts with similar expression dynamics. The "regulatory function" group (685 DEGs) contained putative negative or positive fruit set regulators, "pollination-dependent" (411 DEGs) included genes activated by pollination, "fruit growth-related" (815 DEGs) genes activated at early fruit growth. The last groups listed genes with different or similar expression pattern at all stages in the two genotypes. qRT-PCR validation of 20 DEGs plus other four selected genes assessed the high reliability of microarray expression data; the average correlation coefficient for the 20 DEGs was 0.90. In all the groups were evidenced relevant transcription factors encoding proteins regulating meristem differentiation and floral organ development, genes involved in metabolism, transport and response of hormones, genes involved in cell division and in primary and secondary metabolism. Among pathways related to secondary metabolites emerged genes related to the synthesis of flavonoids, supporting the recent evidence that these compounds are important at the fruit set phase. Selected genes showing a de-regulated expression pattern in pat were studied in other four parthenocarpic genotypes either genetically anonymous or carrying lesions in known gene sequences. This comparative approach offered novel insights for improving the present molecular understanding of fruit set and parthenocarpy in tomato.

Indexed as

Cluster AnalysisFlowersFruitGene Expression Regulation, PlantPlant ProteinsSolanum lycopersicumTranscriptomePlant ProteinsFruit setOvary developmentParthenocarpic mutantsSolanum lycopersicum L.Transcription factorsTranscriptome profiling

Identifiers

PMID26319515
OpenAlexW1220794591

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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.