Evidence map›Paper›PMID 32152722›Full record

ArticleProtoplasma2020

Tissue-specific transcriptional regulation and metabolite accumulation in tomato (Solanum lycopersicum L.).

Deepak Sharma, Archana Koul, Sanjana Kaul, Manoj K Dhar

Abstract read
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In one paragraph

Article in Protoplasma, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Foods (Basel, Switzerland) · 2021
    Article
  7. Article
  8. Review
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 1 institution in 1 country.

Deepak SharmaGenome Research Laboratory, School of Biotechnology, University of Jammu, Jammu, 180006, India.
Archana KoulGenome Research Laboratory, School of Biotechnology, University of Jammu, Jammu, 180006, India.
Sanjana KaulGenome Research Laboratory, School of Biotechnology, University of Jammu, Jammu, 180006, India.
Manoj K DharGenome Research Laboratory, School of Biotechnology, University of Jammu, Jammu, 180006, India. manojkdhar@rediffmail.com.ORCID http://orcid.org/0000-0002-8777-6244
University of Jammu · IN

Funding

Department of Biotechnology , Ministry of Science and Technology BT/PR11671/PBD/16/828/2008
6 · The paper itself

Abstract

Tomato is an excellent model for studying fruit development, ripening, and other secondary metabolic pathways such as carotenoid biosynthetic pathway, flavonoid pathway, and many more. Tomato fruit development and ripening occurs under tight genetic control and involves the expression of thousands of genes affecting fruit quality and accumulation of pigments and metabolites. Here, we have described the development of a microarray platform that has allowed establishment of a framework for quantification of the expression of large number of genes and transcription factors possibly regulating various secondary metabolic pathways in tomato. To unravel the molecular mechanisms of fruit development and ripening, a tomato 60-mer oligonucleotide 44 K microarray along with the custom array for many genes and transcription factors was designed and validated in the fruit and leaf tissues. Comparative profiling of gene expression studies has allowed us to identify a large number of differentially expressed genes and transcription factors. Gene ontology revealed the involvement of these genes in various biological, cellular, and molecular processes like isoprenoid, terpenoid, pigment, ethylene biosynthesis, phytohormone signaling, and fruit ripening. Further, correlation, as well as differential expression studies, has revealed that several transcription factors like RIN, AGAMOUS, TAGL1, MYB, MADS-box etc. could be the possible regulators of various secondary metabolic pathways. The present study has identified various metabolites, their biosynthetic pathways and genes which may possibly be controlled by different transcription factors. The present findings have laid a base for understanding the transcriptional and metabolic shifts which occur in parallel during programmed fruit ripening and developmental processes in tomato.

Indexed as

FruitGene Expression Regulation, PlantSolanum lycopersicumTranscription FactorsTranscription FactorsGene expressionGene ontologyMicroarrayRipeningTomatoTranscription factors

Identifiers

PMID32152722
OpenAlexW3012057142

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.