Antagonism (phytopathology) in the context of "Plant pathology"

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⭐ Core Definition: Antagonism (phytopathology)

Antagonism (in phytopathology) occurs when one organism inhibits or slows down the growth of a plant disease-causing organism, such as harmful bacteria or fungi. Most plants can host a variety of pathogens and are often infected by multiple species simultaneously. In ecology, species competing for the same resource can influence each other in two ways: antagonism, where one pathogen harms another, and synergism, where one pathogen supports the growth of another.

Antagonism is often employed as a natural method to protect plants from diseases. This can occur through mechanism such as competition for space and nutrients, the production of toxins or siderophores by one pathogen to suppress another, induction of host resistance, or other processes that inhibit the growth or reproduction of pathogens, as demonstrated in the Ascochyta blight complex on peas.

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Antagonism (phytopathology) in the context of Biological interaction

In ecology, a biological interaction is the effect that a pair of organisms living together in a community have on each other. They can be either of the same species (intraspecific interactions), or of different species (interspecific interactions). These effects may be short-term, or long-term, both often strongly influence the adaptation and evolution of the species involved. Biological interactions range from mutualism, beneficial to both partners, to competition, harmful to both partners. Interactions can be direct when physical contact is established or indirect, through intermediaries such as shared resources, territories, ecological services, metabolic waste, toxins or growth inhibitors. This type of relationship can be shown by net effect based on individual effects on both organisms arising out of relationship.

Several recent studies have suggested non-trophic species interactions such as habitat modification and mutualisms can be important determinants of food web structures. However, it remains unclear whether these findings generalize across ecosystems, and whether non-trophic interactions affect food webs randomly, or affect specific trophic levels or functional groups.

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