Evidence map›Paper›PMID 33388894›Full record

ReviewPlant cell reports2021

Skin colour, carotenogenesis and chlorophyll degradation mutant alleles: genetic orchestration behind the fruit colour variation in tomato.

Tirthartha Chattopadhyay, Pranab Hazra, Shirin Akhtar, Deepak Maurya, Arnab Mukherjee, Sheuli Roy

Abstract readReview
PubMed Publisher
In one paragraph

Review in Plant cell reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.6field-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

17 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Recent Advances in Tomato Gene Editing.International journal of molecular sciences · 2024
    Review
  9. Marker assisted early generation identification of root knot disease resistant orange tomato segregants with multiple desirable alleles.Physiology and molecular biology of plants : an international journal of functional plant biology · 2023
    Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Application of CRISPR/Cas9 in Crop Quality Improvement.International journal of molecular sciences · 2021
    Review
  16. Article
  17. Enhanced Reproductive Thermotolerance of the TomatoFrontiers in plant science · 2021
    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 3 institutions in 1 country.

Tirthartha ChattopadhyayDepartment of Plant Breeding and Genetics, Bihar Agricultural College, Bihar Agricultural University, Sabour, Bhagalpur, Bihar, 813210, India. tirthartha@gmail.com.ORCID http://orcid.org/0000-0001-5654-0303
Pranab HazraDepartment of Vegetable Science, Faculty of Horticulture, Bidhan Chandra Krishi Viswavidyalaya, Mohanpur, Nadia, West Bengal, 741252, India.
Shirin AkhtarDepartment of Horticulture (Vegetable and Floriculture), Bihar Agricultural College, Bihar Agricultural University, Sabour, Bhagalpur, Bihar, 813210, India.
Deepak MauryaDepartment of Horticulture (Vegetable and Floriculture), Bihar Agricultural College, Bihar Agricultural University, Sabour, Bhagalpur, Bihar, 813210, India.
Arnab MukherjeeDepartment of Plant Breeding and Genetics, Bihar Agricultural College, Bihar Agricultural University, Sabour, Bhagalpur, Bihar, 813210, India.
Sheuli RoyAlumna, Indian Institute of Technology Kharagpur, West Bengal, 721302, India.
Bihar Agricultural University · INBidhan Chandra Krishi Viswavidyalaya · INIndian Institute of Technology Kharagpur · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genetics underlying the fruit colour variation in tomato is an interesting area of both basic and applied research in plant biology. There are several factors, like phytohormones, environmental signals and epistatic interactions between genes, which modulate the ripe fruit colour in tomato. However, three aspects: genetic regulation of skin pigmentation, carotenoid biosynthesis and ripening-associated chlorophyll degradation in tomato fruits are of pivotal importance. Different genes along with their mutant alleles governing the aforementioned characters have been characterized in detail. Moreover, the interaction of these mutant alleles has been explored, which has paved the way for developing novel tomato genotypes with unique fruit colour and beneficial phytonutrient composition. In this article, we review the genes and the corresponding mutant alleles underlying the variation in tomato skin pigmentation, carotenoid biosynthesis and ripening-associated chlorophyll degradation. The possibility of generating novel fruit colour-variants using different combinations of these mutant alleles is documented. Furthermore, the involvement of some other mutant alleles (like those governing purple fruit colour and high fruit pigmentation), not belonging to the aforementioned three categories, are discussed in brief. The simplified representation of the assembled information in this article should not only help a broad range of readers in their basic understanding of this complex phenomenon but also trigger them for further exploration of the same. The article would be useful for genetic characterization of fruit colour-variants and molecular breeding for fruit colour improvement in tomato using the well-characterized mutant alleles.

Indexed as

AllelesColorFlavonoidsFruitGene Expression Regulation, PlantPlant ProteinsSolanum lycopersicumFlavonoidsPlant ProteinsCarotenoid biosynthesisFlavonoid biosynthesisMutant allelesRipening-associated chlorophyll degradationTomato fruit colourTomato skin pigmentation

Identifiers

PMID33388894
OpenAlexW3120519152

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.