Evidence map›Paper›PMID 38274757›Full record

ArticleFrontiers in microbiology2023

Plant-microorganism-soil interaction under long-term low-dose ionizing radiation.

Guoqiang Zeng, Yingzi Wen, Chuyang Luo, Yihong Zhang, Fei Li, Chao Xiong

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

6 authors.

Guoqiang ZengCollege of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, China.
Yingzi WenCollege of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, China.
Chuyang LuoCollege of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, China.
Yihong ZhangCollege of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, China.
Fei LiCollege of Nuclear Technology and Automation Engineering, Chengdu University of Technology, Chengdu, China.
Chao XiongData Recovery Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the environmental nuclear radiation pollution caused by nuclear-contaminated water discharge and other factors intensifies, more plant-microorganism-soil systems will be under long-term low-dose ionizing radiation (LLR). However, the regulatory mechanisms of the plant-microorganism-soil system under LLR are still unclear. In this study, we study a system that has been stably exposed to low-dose ionizing radiation for 10 years and investigate the response of the plant-microorganism-soil system to LLR based on the decay of the absorbed dose rate with distance. The results show that LLR affects the carbon and nitrogen migration process between plant-microorganism-soil through the "symbiotic microbial effect." The increase in the intensity of ionizing radiation led to a significant increase in the relative abundance of symbiotic fungi, such as Ectomycorrhizal fungi and Rhizobiales, which is accompanied by a significant increase in soil lignin peroxidase (LiP) activity, the C/N ratio, and C%. Meanwhile, enhanced radiation intensity causes adaptive changes in the plant functional traits. This study demonstrates that the "symbiotic microbial effect" of plant-microorganism-soil systems is an important process in terrestrial ecosystems in response to LLR.

Indexed as

adaptation to nuclear radiationlong-term low-dose ionizing radiationplant–microorganism–soil interactionsymbiotic microbial effectunderground carbon and nitrogen cycle

Identifiers

PMID38274757
PMCPMC10808812

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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.