Evidence map›Paper›PMID 31338671›Full record

ArticlePlant molecular biology2019

Transcriptome analysis of acerola fruit ripening: insights into ascorbate, ethylene, respiration, and softening metabolisms.

Clesivan Pereira Dos Santos, Mathias Coelho Batista, Kátia Daniella da Cruz Saraiva, André Luiz Maia Roque, Rafael de Souza Miranda, Lorena Mara Alexandre E Silva, Carlos Farley Herbster Moura, Elenilson Godoy Alves Filho, Kirley Marques Canuto, José Hélio Costa

Abstract read
PubMed Publisher
In one paragraph

Article in Plant molecular biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Development, Validation, and Use ofMolecules (Basel, Switzerland) · 2022
    Article
  11. Article
  12. Transcriptome profiling of genes associated with fruit firmness in the melon variety 'Baogua' (Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Article
  13. Article
  14. Ascorbic Acid-The Little-Known Antioxidant in Woody Plants.Antioxidants (Basel, Switzerland) · 2019
    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

10 authors.

Clesivan Pereira Dos SantosFunctional Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, Federal University of Ceará, Fortaleza, Ceará, 60451-970, Brazil.
Mathias Coelho BatistaFunctional Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, Federal University of Ceará, Fortaleza, Ceará, 60451-970, Brazil.
Kátia Daniella da Cruz SaraivaFederal Institute of Education, Science and Technology of Paraíba, Campus Princesa Isabel, Princesa Isabel, Paraíba, Brazil.
André Luiz Maia RoqueFunctional Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, Federal University of Ceará, Fortaleza, Ceará, 60451-970, Brazil.
Rafael de Souza MirandaFederal University of Piauí, Campus Professora Cinobelina Elvas, Bom Jesus, Piauí, Brazil.
Lorena Mara Alexandre E SilvaEmbrapa Agroindústria Tropical, Fortaleza, Ceará, Brazil.
Carlos Farley Herbster MouraEmbrapa Agroindústria Tropical, Fortaleza, Ceará, Brazil.
Elenilson Godoy Alves FilhoEmbrapa Agroindústria Tropical, Fortaleza, Ceará, Brazil.
Kirley Marques CanutoEmbrapa Agroindústria Tropical, Fortaleza, Ceará, Brazil.
José Hélio CostaFunctional Genomics and Bioinformatics, Department of Biochemistry and Molecular Biology, Federal University of Ceará, Fortaleza, Ceará, 60451-970, Brazil. helio.costa@ufc.br.ORCID http://orcid.org/0000-0003-4308-5078

Funding

INCT - Frutos tropicais 4653352014-4
6 · The paper itself

Abstract

key messageThe first transcriptome coupled to metabolite analyses reveals major trends during acerola fruit ripening and shed lights on ascorbate, ethylene signalling, cellular respiration, sugar accumulation, and softening key regulatory genes. Acerola is a fast growing and ripening fruit that exhibits high amounts of ascorbate. During ripening, the fruit experience high respiratory rates leading to ascorbate depletion and a quickly fragile and perishable state. Despite its growing economic importance, understanding of its developmental metabolism remains obscure due to the absence of genomic and transcriptomic data. We performed an acerola transcriptome sequencing that generated over 600 million reads, 40,830 contigs, and provided the annotation of 25,298 unique transcripts. Overall, this study revealed the main metabolic changes that occur in the acerola ripening. This transcriptional profile linked to metabolite measurements, allowed us to focus on ascorbate, ethylene, respiration, sugar, and firmness, the major metabolism indicators for acerola quality. Our results suggest a cooperative role of several genes involved in AsA biosynthesis (PMM, GMP1 and 3, GME1 and 2, GGP1 and 2), translocation (NAT3, 4, 6 and 6-like) and recycling (MDHAR2 and DHAR1) pathways for AsA accumulation in unripe fruits. Moreover, the association of metabolites with transcript profiles provided a comprehensive understanding of ethylene signalling, respiration, sugar accumulation and softening of acerola, shedding light on promising key regulatory genes. Overall, this study provides a foundation for further examination of the functional significance of these genes to improve fruit quality traits.

Indexed as

TranscriptomeAscorbic AcidEthylenesFruitGene Expression ProfilingGene Expression Regulation, PlantGenes, PlantMalpighiaceaePlant ProteinsPrincipal Component AnalysisSignal TransductionAscorbic AcidethyleneEthylenesPlant ProteinsAscorbateEthylene signallingFruit softeningMalpighia emarginataRespirationTranscriptome

Identifiers

What Socratic 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 Socratic graph.