Evidence map›Paper›PMID 26233577›Full record

ArticleFunctional & integrative genomics2015

Transcriptome-based discovery of AP2/ERF transcription factors related to temperature stress in tea plant (Camellia sinensis).

Zhi-Jun Wu, Xing-Hui Li, Zhi-Wei Liu, Hui Li, Yong-Xin Wang, Jing Zhuang

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Article in Functional & integrative genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Frontiers in plant science · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Transcriptomic Analyses ofInternational journal of molecular sciences · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
4 · The record

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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.

Zhi-Jun WuTea Science Research Institute, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China.
Xing-Hui LiTea Science Research Institute, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China.
Zhi-Wei LiuTea Science Research Institute, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China.
Hui LiTea Science Research Institute, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China.
Yong-Xin WangTea Science Research Institute, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China.
Jing ZhuangTea Science Research Institute, College of Horticulture, Nanjing Agricultural University, Nanjing, 210095, China. zhuangjing@njau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tea plant (Camellia sinensis) is an important natural resource for the global supply of non-alcoholic beverage production. The extension of tea plant cultivation is challenged by biotic and abiotic stresses. Transcription factors (TFs) of the APETALA 2 (AP2)/ethylene-responsive factor (ERF) family are involved in growth and anti-stresses through multifaceted transcriptional regulation in plants. This study comprehensively analyzed AP2/ERF family TFs from C. sinensis on the basis of the transcriptome sequencing data of four tea plant cultivars, namely, 'Yunnanshilixiang', 'Chawansanhao', 'Ruchengmaoyecha', and 'Anjibaicha'. A total of 89 putative AP2/ERF transcription factors with full-length AP2 domain were identified from C. sinensis and classified into five subfamilies, namely, AP2, dehydration-responsive-element-binding (DREB), ERF, related to ABI3/VP (RAV), and Soloist. All identified CsAP2/ERF genes presented relatively stable expression levels in the four tea plant cultivars. Many groups also showed cultivar specificity. Five CsAP2/ERF genes from each AP2/ERF subfamily (DREB, ERF, AP2, and RAV) were related to temperature stresses; these results indicated that AP2/ERF TFs may play important roles in abnormal temperature stress response in C. sinensis.

Indexed as

Heat-Shock ResponseTranscriptomeAmino Acid SequenceCamellia sinensisGene Expression Regulation, PlantMolecular Sequence DataPhylogenyPlant ProteinsResponse ElementsTranscription Factor AP-2Plant ProteinsTranscription Factor AP-2AP2/ERFCamellia sinensisTemperature stressesTranscription factorsTranscriptome sequencing

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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.