Evidence map›Paper›PMID 30267030›Full record

ArticleScientific reports2018

Transcriptomics and co-expression networks reveal tissue-specific responses and regulatory hubs under mild and severe drought in papaya (Carica papaya L.).

Samuel David Gamboa-Tuz, Alejandro Pereira-Santana, Jesús Alejandro Zamora-Briseño, Enrique Castano, Francisco Espadas-Gil, Jorge Tonatiuh Ayala-Sumuano, Miguel Ángel Keb-Llanes, Felipe Sanchez-Teyer, Luis Carlos Rodríguez-Zapata

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Analysis ofPlants (Basel, Switzerland) · 2023
    Article
  5. Article
  6. Article
  7. Review
  8. Genomic Analysis ofLife (Basel, Switzerland) · 2022
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Systematic analysis of differentially expressedPhysiology and molecular biology of plants : an international journal of functional plant biology · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. What is quantitative plant biology?Quantitative plant biology · 2021
    Review
  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

9 authors.

Samuel David Gamboa-TuzBiotechnology Unit, Yucatan Center for Scientific Research (CICY), 97205, Merida, Yucatan, Mexico.
Alejandro Pereira-SantanaBiotechnology Unit, Yucatan Center for Scientific Research (CICY), 97205, Merida, Yucatan, Mexico.
Jesús Alejandro Zamora-BriseñoBiotechnology Unit, Yucatan Center for Scientific Research (CICY), 97205, Merida, Yucatan, Mexico.
Enrique CastanoPlant Biochemistry and Molecular Biology Unit, Yucatan Center for Scientific Research (CICY), 97205, Merida, Yucatan, Mexico.
Francisco Espadas-GilBiotechnology Unit, Yucatan Center for Scientific Research (CICY), 97205, Merida, Yucatan, Mexico.
Jorge Tonatiuh Ayala-SumuanoIDIX S.A. de C.V., Av. Sonterra 3035 int. 26, Querétaro, Mexico.
Miguel Ángel Keb-LlanesBiotechnology Unit, Yucatan Center for Scientific Research (CICY), 97205, Merida, Yucatan, Mexico.
Felipe Sanchez-TeyerBiotechnology Unit, Yucatan Center for Scientific Research (CICY), 97205, Merida, Yucatan, Mexico.
Luis Carlos Rodríguez-ZapataBiotechnology Unit, Yucatan Center for Scientific Research (CICY), 97205, Merida, Yucatan, Mexico. lcrz@cicy.mx.

Funding

UM CFAR SCCC Argentina Consortium for research and training in Virally Induced AIDS MalignanciesU54CA221208 · NCI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI MESRI, ENRIQUE A · 2017 to 2022
$3.3M
Consejo Nacional de Ciencia y Tecnología (National Council of Science and Technology, Mexico) 221208Consejo Nacional de Ciencia y Tecnología (National Council of Science and Technology, Mexico) 247355Consejo Nacional de Ciencia y Tecnología (National Council of Science and Technology, Mexico) 438058Consejo Nacional de Ciencia y Tecnología (National Council of Science and Technology, Mexico) 59097
6 · The paper itself

Abstract

Plants respond to drought stress through the ABA dependent and independent pathways, which in turn modulate transcriptional regulatory hubs. Here, we employed Illumina RNA-Seq to analyze a total of 18 cDNA libraries from leaves, sap, and roots of papaya plants under drought stress. Reference and de novo transcriptomic analyses identified 8,549 and 6,089 drought-responsive genes and unigenes, respectively. Core sets of 6 and 34 genes were simultaneously up- or down-regulated, respectively, in all stressed samples. Moreover, GO enrichment analysis revealed that under moderate drought stress, processes related to cell cycle and DNA repair were up-regulated in leaves and sap; while responses to abiotic stress, hormone signaling, sucrose metabolism, and suberin biosynthesis were up-regulated in roots. Under severe drought stress, biological processes related to abiotic stress, hormone signaling, and oxidation-reduction were up-regulated in all tissues. Moreover, similar biological processes were commonly down-regulated in all stressed samples. Furthermore, co-expression network analysis revealed three and eight transcriptionally regulated modules in leaves and roots, respectively. Seventeen stress-related TFs were identified, potentially serving as main regulatory hubs in leaves and roots. Our findings provide insight into the molecular responses of papaya plant to drought, which could contribute to the improvement of this important tropical crop.

Indexed as

Gene Expression Regulation, PlantAcclimatizationCaricaDNA RepairDroughtsGene Regulatory NetworksSignal TransductionStress, PhysiologicalTranscriptome

Identifiers

PMID30267030
PMCPMC6162326

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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.