ArticleMycorrhiza2026
Arbuscular mycorrhizal plasticity in cereals reflects quantitative rather than taxonomically selective regulation.
Article in Mycorrhiza, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Grasses, including major cereal crops, associate with arbuscular mycorrhizal (AM) fungi to varying degrees depending on environmental conditions. Understanding mechanisms driving this environment-induced variation in mycorrhization, i.e. plant AM plasticity, is necessary to predict grass-mycorrhizal responses to global change factors, such as nutrient enrichment, and to resolve the role of AM symbiosis in cereal crop production. We compared AM plasticity in four cereal crops by testing the effect of nitrogen (N) fertilization on AM colonization and root PLFA 16:1ω5 concentration. To assess whether mycorrhization patterns reflect root functional traits, we compared specific root length among species. To determine whether plants regulate AM colonization qualitatively (by selectively associating with certain AM taxa) or quantitatively (by collectively suppressing colonization across taxa), we investigated directional shifts and variability in AM community structure in response to N fertilization. AM colonization varied between cereal species and was reduced by N fertilization, but we found limited evidence for interspecific differences in AM plasticity. Winter wheat appeared less AM responsive and associated more with uncultured AM fungi compared to the three spring-sown cereal species, oat, spring wheat and spring barley. Fertilization did not affect AM community composition, and within-species variation in AM community β-dispersion did not covary with variation in AM colonization or PLFA 16:1ω5 concentration. These results support the view that host plants regulate arbuscular mycorrhization quantitatively rather than through taxonomic selectivity. We propose AM plasticity as a plant-mycorrhizal trait to be used for more accurate predictions of plant environmental responses in eco-physiological and agroecological research.
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