Insights into Molecular Mechanisms of Plant-pathogen Interactions: Advances and Perspectives

The molecular biology of plant-pathogen interactions explores the intricate mechanisms by which pathogens, including bacteria, fungi, viruses, and nematodes, interact with plants at the cellular and molecular levels. These interactions are critical in determining the outcome of disease development and host resistance. Pathogens employ specialized virulence factors, such as effector proteins, to manipulate host cell processes, suppress immune responses, and facilitate colonization. In turn, plants deploy a range of defense mechanisms, including pattern recognition receptors, signaling pathways, and the activation of immune responses to detect and resist pathogen invasion. Most plants are resistant to pathogens, as they can recognize and defend against potential invaders. Successful pathogens cause disease by evading or suppressing these defenses. In the early 20th century, classical breeding was the primary method for controlling plant diseases. However, it was not until we gained significant insight into the genetic interactions controlling disease resistance. Recent advancements in genomics, transcriptomics, and proteomics have significantly enhanced our understanding of the molecular underpinnings of these interactions, revealing complex signaling networks and genetic factors involved in both susceptibility and resistance. Understanding these molecular dynamics holds promise for developing novel strategies for disease control, including the engineering of plants with enhanced resistance traits and the design of targeted antimicrobial agents.

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Publication Details

Journal
Journal of Advances in Biology & Biotechnology
Published
2025-03-27
DOI
https://doi.org/10.9734/jabb/2025/v28i32132
Citations
1
Primary Topic
Plant Disease Resistance and Genetics
Type
article
Field-Weighted Citation Impact
1.75
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article

Insights into Molecular Mechanisms of Plant-pathogen Interactions: Advances and Perspectives

Sushmita Sushmita, Prafulla Kumar, Abhay Kumar, Ankit Agrawal
1 citations
Journal of Advances in Biology & Biotechnology
Plant Disease Resistance and Genetics
1.75
article

Insights into Molecular Mechanisms of Plant-pathogen Interactions: Advances and Perspectives

Sushmita Sushmita, Prafulla Kumar, Abhay Kumar, Ankit Agrawal
article en
1 citations

Abstract

The molecular biology of plant-pathogen interactions explores the intricate mechanisms by which pathogens, including bacteria, fungi, viruses, and nematodes, interact with plants at the cellular and molecular levels. These interactions are critical in determining the outcome of disease development and host resistance. Pathogens employ specialized virulence factors, such as effector proteins, to manipulate host cell processes, suppress immune responses, and facilitate colonization. In turn, plants deploy a range of defense mechanisms, including pattern recognition receptors, signaling pathways, and the activation of immune responses to detect and resist pathogen invasion. Most plants are resistant to pathogens, as they can recognize and defend against potential invaders. Successful pathogens cause disease by evading or suppressing these defenses. In the early 20th century, classical breeding was the primary method for controlling plant diseases. However, it was not until we gained significant insight into the genetic interactions controlling disease resistance. Recent advancements in genomics, transcriptomics, and proteomics have significantly enhanced our understanding of the molecular underpinnings of these interactions, revealing complex signaling networks and genetic factors involved in both susceptibility and resistance. Understanding these molecular dynamics holds promise for developing novel strategies for disease control, including the engineering of plants with enhanced resistance traits and the design of targeted antimicrobial agents.

Journal of Advances in Biology & BiotechnologyVol. 28(3)
IFTM University (IN)
Openalex Percentile: Top 16%
Plant Disease Resistance and Genetics
1.75
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