Evidence map›Paper›PMID 33123186›Full record

ArticleFrontiers in plant science2020

Multi-Omics Analyses Reveal the Molecular Mechanisms Underlying the Adaptation of Wheat (

Yong Zhao, Ruoxi Sun, Haodong Liu, Xiaowei Liu, Ke Xu, Kai Xiao, Shuhua Zhang, Xueju Yang, Cheng Xue

Abstract read
In one paragraph

Article in Frontiers in plant science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The miR166d/International journal of molecular sciences · 2023
    Article
  6. Wheat Omics: Advancements and Opportunities.Plants (Basel, Switzerland) · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. 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

9 authors.

Yong ZhaoState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, China.
Ruoxi SunState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, China.
Haodong LiuState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, China.
Xiaowei LiuState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, China.
Ke XuState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, China.
Kai XiaoState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, China.
Shuhua ZhangState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, China.
Xueju YangState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, China.
Cheng XueState Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Potassium (K) is essential for regulating plant growth and mediating abiotic stress responses. Elucidating the biological mechanism underlying plant responses to K-deficiency is crucial for breeding new cultivars with improved K uptake and K utilization efficiency. In this study, we evaluated the extent of the genetic variation among 543 wheat accessions differing in K-deficiency tolerance at the seedling and adult plant stages. Two accessions, KN9204 and BN207, were identified as extremely tolerant and sensitive to K-deficiency, respectively. The accessions were exposed to normal and K-deficient conditions, after which their roots underwent ionomic, transcriptomic, and metabolomic analyses. Under K-deficient conditions, KN9204 exhibited stronger root growth and maintained higher K concentrations than BN207. Moreover, 19,440 transcripts and 162 metabolites were differentially abundant in the roots of both accessions according to transcriptomic and metabolomic analyses. An integrated analysis of gene expression and metabolite profiles revealed that substantially more genes, including those related to ion homeostasis, cellular reactive oxygen species homeostasis, and the glutamate metabolic pathway, were up-regulated in KN9204 than in BN207 in response to low-K stress. Accordingly, these candidate genes have unique regulatory roles affecting plant K-starvation tolerance. These findings may be useful for further clarifying the molecular changes underlying wheat root adaptations to K deprivation.

Indexed as

ionomemetabolomepotassium utilization efficiencytranscriptomevarietal diversitywheat

Identifiers

PMID33123186
PMCPMC7573229

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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.