Evidence map›Paper›PMID 33995498›Full record

ArticleFrontiers in genetics2021

Transcriptome and Co-expression Network Analyses Reveal Differential Gene Expression and Pathways in Response to Severe Drought Stress in Peanut (

Nannan Zhao, Shunli Cui, Xiukun Li, Bokuan Liu, Hongtao Deng, Yingru Liu, Mingyu Hou, Xinlei Yang, Guojun Mu, Lifeng Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. 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
9.1field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. Review
  6. Article
  7. Review
  8. Drought Adaptation and Responses ofEcology and evolution · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Transcriptome Analysis of Sesame (International journal of molecular sciences · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. The genusFrontiers in plant science · 2023
    Review
  18. Article
  19. 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

10 authors at 1 institution in 1 country.

Nannan ZhaoState Key Laboratory for Crop Improvement and Regulation, Hebei Agricultural University, Baoding, China.
Shunli CuiState Key Laboratory for Crop Improvement and Regulation, Hebei Agricultural University, Baoding, China.
Xiukun LiState Key Laboratory for Crop Improvement and Regulation, Hebei Agricultural University, Baoding, China.
Bokuan LiuState Key Laboratory for Crop Improvement and Regulation, Hebei Agricultural University, Baoding, China.
Hongtao DengState Key Laboratory for Crop Improvement and Regulation, Hebei Agricultural University, Baoding, China.
Yingru LiuState Key Laboratory for Crop Improvement and Regulation, Hebei Agricultural University, Baoding, China.
Mingyu HouState Key Laboratory for Crop Improvement and Regulation, Hebei Agricultural University, Baoding, China.
Xinlei YangState Key Laboratory for Crop Improvement and Regulation, Hebei Agricultural University, Baoding, China.
Guojun MuState Key Laboratory for Crop Improvement and Regulation, Hebei Agricultural University, Baoding, China.
Lifeng LiuState Key Laboratory for Crop Improvement and Regulation, Hebei Agricultural University, Baoding, China.
Hebei Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drought is one of the major abiotic stress factors limiting peanut production. It causes the loss of pod yield during the pod formation stage. Here, one previously identified drought-tolerant cultivar, "L422" of peanut, was stressed by drought (35 ± 5%) at pod formation stage for 5, 7, and 9 days. To analyze the drought effects on peanut, we conducted physiological and transcriptome analysis in leaves under well-watered (CK1, CK2, and CK3) and drought-stress conditions (T1, T2, and T3). By transcriptome analysis, 3,586, 6,730, and 8,054 differentially expressed genes (DEGs) were identified in "L422" at 5 days (CK1 vs T1), 7 days (CK2 vs T2), and 9 days (CK3 vs T3) of drought stress, respectively, and 2,846 genes were common DEGs among the three-time points. Furthermore, the result of weighted gene co-expression network analysis (WGCNA) revealed one significant module that was closely correlated between drought stress and physiological data. A total of 1,313 significantly up-/down-regulated genes, including 61 transcription factors, were identified in the module at three-time points throughout the drought stress stage. Additionally, six vital metabolic pathways, namely, "MAPK signaling pathway-plant," "flavonoid biosynthesis," "starch and sucrose metabolism," "phenylpropanoid biosynthesis," "glutathione metabolism," and "plant hormone signal transduction" were enriched in "L422" under severe drought stress. Nine genes responding to drought tolerance were selected for quantitative real-time PCR (qRT-PCR) verification and the results agreed with transcriptional profile data, which reveals the reliability and accuracy of transcriptome data. Taken together, these findings could lead to a better understanding of drought tolerance and facilitate the breeding of drought-resistant peanut cultivars.

Indexed as

differentially expressed genesdrought stresspeanut (Arachis hypogaea L.)RNA-seqWGCNA

Identifiers

PMID33995498
PMCPMC8120245
OpenAlexW3157075906

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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.