Evidence map›Paper›PMID 39894859›Full record

ReviewPlanta2025

Plants breathing under pressure: mechanistic insights into soil compaction-induced physiological, molecular and biochemical responses in plants.

Md Mahadi Hasan, Xu-Dong Liu, Md Atikur Rahman, Yehia Hazzazi, Muhammad Wassem, Shantwana Ghimire, Nadiyah M Alabdallah, Basmah M Alharbi, Ahmad Humayan Kabir, Guangqian Yao and 1 more

Abstract readReview
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In one paragraph

Review in Planta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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

11 authors.

Md Mahadi Hasan *State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, LanzhouGansu Province, 730000, China.
Xu-Dong Liu *State Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, LanzhouGansu Province, 730000, China.
Md Atikur RahmanABEx Bio-Research Center, East Azampur, Dhaka, 1230, Bangladesh.
Yehia HazzaziBiology Department, Faculty of Science, Jazan University, Jazan, Saudi Arabia.
Muhammad WassemState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, LanzhouGansu Province, 730000, China.
Shantwana GhimireState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, LanzhouGansu Province, 730000, China.
Nadiyah M AlabdallahDepartment of Biology, College of Science, Imam Abdulrahman Bin Faisal University, 383, Dammam, Saudi Arabia.
Basmah M AlharbiBiology Department, Faculty of Science, University of Tabuk, 71491, Tabuk, Saudi Arabia.
Ahmad Humayan KabirSchool of Sciences, University of Louisiana Monroe, Monroe, LA, 71203, USA.
Guangqian YaoState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, LanzhouGansu Province, 730000, China.
Xiang-Wen FangState Key Laboratory of Herbage Improvement and Grassland Agro-Ecosystems, College of Ecology, Lanzhou University, LanzhouGansu Province, 730000, China. fangxw@lzu.edu.cn.ORCID http://orcid.org/0000-0003-2227-2800

Funding

Natural Science Foundation of China 31670404Natural Science Foundation of China 31971406
6 · The paper itself

Abstract

MAIN

conclusionThis review highlights the molecular, biochemical and physiological responses of plants under soil compaction and presents suitable strategies for optimizing soil compaction for sustainable and intelligent plant production. Soil compaction (SC) increases the mechanical impedance of agricultural crops, which restricts plant growth, root elongation, and productivity. Therefore, exploring the impacts of SC-induced alterations in plants and developing optimization strategies are crucial for sustainable agricultural production and ensuring global food security. However, the regulation of molecular, biochemical and physiological responses to SC in plants has not yet been well explored. Here, we conducted a thorough analysis of the relevant literature regarding the primary factors behind SC in agricultural soils, mechanistic insights into SC-mediated molecular and physiological alterations in plants, the impact of SC on plant productivity, and SC-minimization strategies for eco-friendly and intelligent agricultural production. The existing information suggests that plant roots sense SC-induced changes in soil properties, including decreased soil water content, hypoxia, nutrient deficiency and mechanical stimuli, through altering the expression of membrane-located ion channel- or stimulus receptor-related genes, such as MSLs, MCA1, and AHK. After signal transduction, the synthesis and transport of several plant hormones, mainly ABA, ethylene and auxin, change and restrict root deepening but promote root thickening. In addition, the changes in plant hormones in combination with decreased water availability and decreased root hydraulic conductance induced by SC affect aboveground physiological responses, such as decreasing leaf hydraulic conductance, promoting stomatal closure and inhibiting plant photosynthesis. Comprehensive physiological insights into SC in plants and SC optimization strategies could be useful to soil biologists and plant eco-physiologists seeking to improve soil management and sustainable agricultural plant production to promote global food security.

Indexed as

Plant Physiological PhenomenaSoilCrops, AgriculturalPlant Growth RegulatorsPlant RootsPressureSignal TransductionPlant Growth RegulatorsSoilAbscisic acidAuxinEthylenePhotosynthesisStomatal conductance

Identifiers

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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.