Unveiling the significance of rhizosphere: Implications for plant growth, stress response, and sustainable agriculture
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In the rhizosphere, the activities within all processes and functions are primarily influenced by plant roots, microorganisms present in the rhizosphere, and the interactions between roots and microorganisms. The rhizosphere, a dynamic zone surrounding the roots, provides an ideal environment for a diverse microbial community, which significantly shapes plant growth and development. Microbial activity in the rhizosphere can promote plant growth by increasing nutrient availability, influencing plant hormonal signaling, and repelling or outcompeting pathogenic microbial strains. Understanding the associations between plant roots and soil microorganisms has the potential to revolutionize crop yields, improve productivity, minimize reliance on chemical fertilizers, and promote sustainable plant growth technologies. The rhizosphere microbiome could play a vital role in the next green revolution and contribute to sustainable and eco-friendly agriculture. However, there are still knowledge gaps concerning plant root-environment interactions, particularly regarding roots and microorganisms. Advances in metabolomics have helped to understand the chemical communication between plants and soil biota, yet challenges persist. This article provides an overview of the latest advancements in comprehending the communication and interplay between plant roots and microbes, which have been shown to impact crucial factors such as plant growth, gene expression, nutrient absorption, pest and disease resistance, and the alleviation of abiotic stress. By improving these aspects, sustainable agriculture practices can be implemented to increase the overall productivity of plant ecosystems.
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Hyperaccumulators' ability to concentrate heavy metals may affect neighboring plant growth by reducing competition or altering rhizosphere microbial communities.
“On the other hand, their ability to concentrate HMs may affect neighboring plant growth, either by reducing competition (since few plants thrive in metal-rich soils) or by altering microbial communities in the rhizosphere (Barra Caracciolo and Terenzi, 2021; Solomon et al., 2024).”
From Plant hyperaccumulators: a state-of-the-art review on mechanism of heavy metal transport and sequestration (2025) · cites this paper as Solomon et al., 2024
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Cited by
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Bhat, B. A., Rather, M. A., Bilal, T., Nazir, R., Qadir, R. U., & Mir, R. A. (2025) · Frontiers in Plant Science · doi:10.3389/fpls.2025.1631378 · Cited by 68 · see citing works
- Authors
- Solomon, W., Janda, T., & Molnár, Z.
- Affiliations
- HUN-REN Centre for Agricultural Research (HU)
- Széchenyi István University (HU)
- Venue
- Plant Physiology and Biochemistry
- Publisher
- Elsevier BV
- Published
- 2024-01
- Volume
- 206
- Pages
- 108290
- ISSN
- 0981-9428 (ISSN-L)
- OpenAlex
- W4390102015
- Cited by
- 202
- References
- 137
- Citations by year
- 2026: 77 · 2025: 88 · 2024: 37
- FWCI
- 4.86
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Plant Physiology and Biochemistry (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant-Microbe Interactions and Immunity
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Mycorrhizal Fungi and Plant Interactions
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Legume Nitrogen Fixing Symbiosis
- Keywords
- rhizosphere, rhizosphere microbiome, root-microbe interactions, plant growth promotion, nutrient availability, plant disease resistance, abiotic stress mitigation, sustainable agriculture, metabolomics, crop yield
- MeSH terms
- Agriculture, Plants, Soil, Soil Microbiology, Plant Roots, Rhizosphere, Microbiota
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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