Evidence map›Paper›PMID 26124770›Full record

ReviewFrontiers in plant science2015

Prunus transcription factors: breeding perspectives.

Valmor J Bianchi, Manuel Rubio, Livio Trainotti, Ignazio Verde, Claudio Bonghi, Pedro Martínez-Gómez

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in plant science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

21 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Genetic dissection of apricot fruit skin color (Molecular breeding : new strategies in plant improvement · 2026
    Article
  3. Monitoring Fruit Growth and Development in Apricot (International journal of molecular sciences · 2024
    Article
  4. Article
  5. International journal of molecular sciences · 2023
    Article
  6. Review
  7. Meta-QTL analysis and candidate genes identification for various abiotic stresses in maize (Molecular breeding : new strategies in plant improvement · 2022
    Article
  8. Article
  9. Genome-Wide Prediction of Transcription Start Sites in Conifers.International journal of molecular sciences · 2022
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Molecular Bases of Fruit Quality inInternational journal of molecular sciences · 2020
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

6 authors at 1 institution in 1 country.

Valmor J BianchiDepartment of Plant Physiology, Instituto de Biologia, Universidade Federal de Pelotas Pelotas-RS, Brazil.
Manuel RubioDepartment of Plant Breeding, Centro de Edafología y Biología Aplicada del Segura, Consejo Superior de Investigaciones Científicas Murcia, Spain.
Livio TrainottiDepartment of Biology, University of Padua Padova, Italy.
Ignazio VerdeConsiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CRA) - Centro di ricerca per la frutticoltura Roma, Italy.
Claudio BonghiDepartment of Agronomy, Food, Natural Resources, and Environment (DAFNAE). University of Padua Padova, Italy.
Pedro Martínez-GómezDepartment of Plant Breeding, Centro de Edafología y Biología Aplicada del Segura, Consejo Superior de Investigaciones Científicas Murcia, Spain.
University of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many plant processes depend on differential gene expression, which is generally controlled by complex proteins called transcription factors (TFs). In peach, 1533 TFs have been identified, accounting for about 5.5% of the 27,852 protein-coding genes. These TFs are the reference for the rest of the Prunus species. TF studies in Prunus have been performed on the gene expression analysis of different agronomic traits, including control of the flowering process, fruit quality, and biotic and abiotic stress resistance. These studies, using quantitative RT-PCR, have mainly been performed in peach, and to a lesser extent in other species, including almond, apricot, black cherry, Fuji cherry, Japanese apricot, plum, and sour and sweet cherry. Other tools have also been used in TF studies, including cDNA-AFLP, LC-ESI-MS, RNA, and DNA blotting or mapping. More recently, new tools assayed include microarray and high-throughput DNA sequencing (DNA-Seq) and RNA sequencing (RNA-Seq). New functional genomics opportunities include genome resequencing and the well-known synteny among Prunus genomes and transcriptomes. These new functional studies should be applied in breeding programs in the development of molecular markers. With the genome sequences available, some strategies that have been used in model systems (such as SNP genotyping assays and genotyping-by-sequencing) may be applicable in the functional analysis of Prunus TFs as well. In addition, the knowledge of the gene functions and position in the peach reference genome of the TFs represents an additional advantage. These facts could greatly facilitate the isolation of genes via QTL (quantitative trait loci) map-based cloning in the different Prunus species, following the association of these TFs with the identified QTLs using the peach reference genome.

Indexed as

abiotic stressbiotic stressbreedingflowering timefruit qualitygene regulationPrunus spp.transcription factors

Identifiers

PMID26124770
PMCPMC4464204
OpenAlexW1545351775

What OpenQuestion holds

Textmetadata
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.