Evidence map›Paper›PMID 33032521›Full record

ArticleBMC plant biology2020

Application of compound material alleviates saline and alkaline stress in cotton leaves through regulation of the transcriptome.

Mengjie An, Xiaoli Wang, Doudou Chang, Shuai Wang, Dashuang Hong, Hua Fan, Kaiyong Wang

Abstract read
In one paragraph

Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  7. Multi-Omics Analysis of the Effects of Soil Amendment on Rapeseed (International journal of molecular sciences · 2024
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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

7 authors.

Mengjie AnAgricultural College, Shihezi University, Shihezi, Xinjiang, 832000, People's Republic of China.
Xiaoli WangAgricultural College, Shihezi University, Shihezi, Xinjiang, 832000, People's Republic of China.
Doudou ChangAgricultural College, Shihezi University, Shihezi, Xinjiang, 832000, People's Republic of China.
Shuai WangAgricultural College, Shihezi University, Shihezi, Xinjiang, 832000, People's Republic of China.
Dashuang HongAgricultural College, Shihezi University, Shihezi, Xinjiang, 832000, People's Republic of China.
Hua FanAgricultural College, Shihezi University, Shihezi, Xinjiang, 832000, People's Republic of China.
Kaiyong WangAgricultural College, Shihezi University, Shihezi, Xinjiang, 832000, People's Republic of China. wky20@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSoil salinization and alkalinization are the main factors that affect the agricultural productivity. Evaluating the persistence of the compound material applied in field soils is an important part of the regulation of the responses of cotton to saline and alkaline stresses.

resultTo determine the molecular effects of compound material on the cotton's responses to saline stress and alkaline stress, cotton was planted in the salinized soil (NaCl 8 g kg

conclusionThese findings suggest that the compound material alleviated saline stress and alkaline stress on cotton leaves by regulating candidate genes in key biological pathways, which improves our understanding of the molecular mechanism of the compound material regulating the responses of cotton to saline stress and alkaline stress.

Indexed as

TranscriptomeGene Expression Regulation, PlantGossypiumHydrogen-Ion ConcentrationIon TransportPlant LeavesPotassiumRNA, PlantRNA-SeqSalinitySalt ToleranceSodiumStress, PhysiologicalPotassiumRNA, PlantSodiumAlkalinizationAntioxidantCompound materialK+/Na+ ratioLignin biosynthesisSalinization

Identifiers

PMID33032521
PMCPMC7542905

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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.