Evidence map›Paper›PMID 26504577›Full record

ArticleHorticulture research2015

Transcriptomic analysis reveals numerous diverse protein kinases and transcription factors involved in desiccation tolerance in the resurrection plant Myrothamnus flabellifolia.

Chao Ma, Hong Wang, Andrew J Macnish, Alejandro C Estrada-Melo, Jing Lin, Youhong Chang, Michael S Reid, Cai-Zhong Jiang

Open access · goldAbstract read
In one paragraph

Article in Horticulture research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
8.3field-weighted citation impact, top 3% 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

34 citing papers in PubMed, 66 citations in OpenAlex.

  1. Using supervised machine-learning approaches to understand abiotic stress tolerance and design resilient crops.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  2. Article
  3. Article
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  7. Changes inFrontiers in plant science · 2023
    Article
  8. OverexpressingInternational journal of molecular sciences · 2022
    Article
  9. A WRKY Protein, MfWRKY40, of Resurrection PlantInternational journal of molecular sciences · 2022
    Article
  10. Heterologous Expression ofInternational journal of molecular sciences · 2022
    Article
  11. Heterologous Expression of Dehydration-InducibleInternational journal of molecular sciences · 2022
    Article
  12. Overexpression ofFrontiers in plant science · 2022
    Article
  13. Review
  14. Systems biology of resurrection plants.Cellular and molecular life sciences : CMLS · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. Heterologous Expression of Dehydration-InducibleInternational journal of molecular sciences · 2020
    Article
  19. International journal of molecular sciences · 2020
    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

8 authors at 1 institution in 1 country.

Chao MaDepartment of Plant Sciences, University of California , Davis, Davis, CA 95616, USA.
Hong WangInstitute of Horticulture, Jiangsu Academy of Agricultural Sciences/Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement , Nanjing 210014, China.
Andrew J MacnishDepartment of Plant Sciences, University of California , Davis, Davis, CA 95616, USA.
Alejandro C Estrada-MeloDepartment of Plant Sciences, University of California , Davis, Davis, CA 95616, USA.
Jing LinInstitute of Horticulture, Jiangsu Academy of Agricultural Sciences/Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement , Nanjing 210014, China.
Youhong ChangInstitute of Horticulture, Jiangsu Academy of Agricultural Sciences/Jiangsu Key Laboratory for Horticultural Crop Genetic Improvement , Nanjing 210014, China.
Michael S ReidDepartment of Plant Sciences, University of California , Davis, Davis, CA 95616, USA.
Cai-Zhong JiangCrops Pathology and Genetic Research Unit, United States Department of Agriculture, Agricultural Research Service , Davis, CA 95616, USA.
University of California, Davis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The woody resurrection plant Myrothamnus flabellifolia has remarkable tolerance to desiccation. Pyro-sequencing technology permitted us to analyze the transcriptome of M. flabellifolia during both dehydration and rehydration. We identified a total of 8287 and 8542 differentially transcribed genes during dehydration and rehydration treatments respectively. Approximately 295 transcription factors (TFs) and 484 protein kinases (PKs) were up- or down-regulated in response to desiccation stress. Among these, the transcript levels of 53 TFs and 91 PKs increased rapidly and peaked early during dehydration. These regulators transduce signal cascades of molecular pathways, including the up-regulation of ABA-dependent and independent drought stress pathways and the activation of protective mechanisms for coping with oxidative damage. Antioxidant systems are up-regulated, and the photosynthetic system is modified to reduce ROS generation. Secondary metabolism may participate in the desiccation tolerance of M. flabellifolia as indicated by increases in transcript abundance of genes involved in isopentenyl diphosphate biosynthesis. Up-regulation of genes encoding late embryogenesis abundant proteins and sucrose phosphate synthase is also associated with increased tolerance to desiccation. During rehydration, the transcriptome is also enriched in transcripts of genes encoding TFs and PKs, as well as genes involved in photosynthesis, and protein synthesis. The data reported here contribute comprehensive insights into the molecular mechanisms of desiccation tolerance in M. flabellifolia.

Identifiers

PMID26504577
PMCPMC4595987
OpenAlexW1860338458

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LicenceCC BY-NC-SA
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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.