Evidence map›Paper›PMID 31873880›Full record

ArticleEnvironmental science and pollution research international2020

Comparison of plasma membrane H

Chanjuan Liang, Yongjia Ma, Lingrui Li

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

6 citing papers in PubMed, 20 citations in OpenAlex.

  1. MnPlants (Basel, Switzerland) · 2024
    Article
  2. Article
  3. Review
  4. Regulation of Cytosolic pH: The Contributions of Plant Plasma Membrane HInternational journal of molecular sciences · 2021
    Review
  5. Exogenous CaPlanta · 2021
    Article
  6. 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

3 authors at 1 institution in 1 country.

Chanjuan LiangState Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, 214122, China. cjliang78@yahoo.com.ORCID http://orcid.org/0000-0001-7704-4309
Yongjia MaJiangsu Key Laboratory of Anaerobic Biotechnology, School of Environmental and Civil Engineering, Jiangnan University, Wuxi, 214122, China.
Lingrui LiJiangsu Key Laboratory of Anaerobic Biotechnology, School of Environmental and Civil Engineering, Jiangnan University, Wuxi, 214122, China.
Jiangnan University · CN

Funding

National Natural Science Foundation of China 31370517National Natural Science Foundation of China 31971407Natural Science Foundation of Jiangsu Province BK20161131
6 · The paper itself

Abstract

Acid rain is a global environmental issue due to inhibiting severely plant growth and productivity. To discover the tolerant mechanism in plants under acid rain stress, we studied the difference in response of two crops (rice and soybean) to simulated acid rain (pH 5.0 ~ 2.5) at growth and physiological, biochemical and molecular levels during exposure and recovery periods by hydroponics. By analyzing the change in relative growth rate, chlorophyll content and plasma permeability in rice and soybean, we found that rice could tolerate acid rain above pH 3.0 whereas soybean could tolerate acid rain above pH 4.5. By RT-PCR analyses, immunoprecipitation and enzyme kinetics study, we observed that pH 4.5 acid rain promoted the transcriptional expression of H

Indexed as

Acid RainGlycine maxOryzaCell MembraneGene Expression Regulation, PlantProton-Translocating ATPasesStress, PhysiologicalAcid RainProton-Translocating ATPases14-3-3 proteinKinetic parametersOryza sativa and Glycine maxTolerance differenceTranscriptional regulation

Identifiers

PMID31873880
OpenAlexW2996283071

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.