| Literature DB >> 35154181 |
Benjamin Fuchs1, Miika Laihonen1, Anne Muola1, Kari Saikkonen1, Petre I Dobrev2, Radomira Vankova2, Marjo Helander3.
Abstract
Glyphosate is the most widely used herbicide with a yearly increase in global application. Recent studies report glyphosate residues from diverse habitats globally where the effect on non-target plants are still to be explored. Glyphosate disrupts the shikimate pathway which is the basis for several plant metabolites. The central role of phytohormones in regulating plant growth and responses to abiotic and biotic environment has been ignored in studies examining the effects of glyphosate residues on plant performance and trophic interactions. We studied interactive effects of glyphosate-based herbicide (GBH) residues and phosphate fertilizer in soil on the content of main phytohormones, their precursors and metabolites, as well as on plant performance and herbivore damage, in three plant species, oat (Avena sativa), potato (Solanum tuberosum), and strawberry (Fragaria x ananassa). Plant hormonal responses to GBH residues were highly species-specific. Potato responded to GBH soil treatment with an increase in stress-related phytohormones abscisic acid (ABA), indole-3-acetic acid (IAA), and jasmonic acid (JA) but a decrease in cytokinin (CK) ribosides and cytokinin-O-glycosides. GBH residues in combination with phosphate in soil increased aboveground biomass of potato plants and the concentration of the auxin phenylacetic acid (PAA) but decreased phaseic acid and cytokinin ribosides (CKR) and O-glycosides. Chorismate-derived compounds [IAA, PAA and benzoic acid (BzA)] as well as herbivore damage decreased in oat, when growing in GBH-treated soil but concentrations of the cytokinin dihydrozeatin (DZ) and CKR increased. In strawberry plants, phosphate treatment was associated with an elevation of auxin (IAA) and the CK trans-zeatin (tZ), while decreasing concentrations of the auxin PAA and CK DZ was observed in the case of GBH treatment. Our results demonstrate that ubiquitous herbicide residues have multifaceted consequences by modulating the hormonal equilibrium of plants, which can have cascading effects on trophic interactions.Entities:
Keywords: cascading herbicide effects; environmental pollutants; plant defense; plant ecology; plant physiological regulation; shikimate pathway
Year: 2022 PMID: 35154181 PMCID: PMC8829137 DOI: 10.3389/fpls.2021.787958
Source DB: PubMed Journal: Front Plant Sci ISSN: 1664-462X Impact factor: 5.753
FIGURE 1Phytohormone pools affected by GBH, phosphate fertilizer and their combination in three crop species. Phytohormones, their precursors and metabolites; compounds that were analyzed in this study are indicated with abbreviations after the compound name. Additional compounds (without abbreviations) were added to show common pathway intermediates and to show biosynthetic origins of phytohormones. Chorismate derives from the shikimate pathway which includes the target site of glyphosate. By blocking the EPSPS enzyme, an essential biosynthetic step is corrupted, which is often shown to cause decreased biosynthesis of metabolites synthesized downstream of the shikimate pathway. Centrally placed hexahedron highlights the possible interactions between hormones also known as hormone crosstalk. Symbols (arrows and stops) besides and below metabolites (left side = oat, right = potato, and below = strawberry) indicate the effect of treatment (blue = phosphate, yellow = GBH, blue + yellow = phosphate + GBH) on each plant species corresponding to significances shown in Figure 2 (N = 40).
FIGURE 2The effect of different treatments (P, G, and PG) on the leaf phytohormone levels in oat, potato and strawberry. Statistical significance of differences in phytohormone concentrations between control and individual treatments was tested with Dunnett’s post hoc test following ANOVA (detailed results see Supplementary Table 1 for mean ± S.E values and Supplementary Table 2 for F and p values). *p < 0.05, **p < 0.01, and ***p < 0.005. NA data not available due to concentrations below detection limit. Pathway affiliation of each compound is presented in Figure 1. Concentrations are given in pmol g–1 fresh weight. N = 40. BzA, benzoic acid; SA, salicylic acid; PAA, phenylacetic acid; IAM, indole-3-acetamide; IAA, indole-3-acetic acid; OxIAA, 2-Oxindole-3-acetic acid; ABA, abscisic acid; PA, phaseic acid; JA, jasmonic acid; ACC, 1-Aminocyclopropane-1-carboxylic acid; CK, cytokinin; DZ, dihydrozeatin; tZ, trans-zeatin; cZ, cis-zeatin; _R, ribosides; _O, O-glycosides; _N, N-glycosides.
The effect of different treatments (P, G, and PG) on leaf damage on oat and strawberry.
|
| X-squared |
| Damage (%) | ||||
| C | P | G | PG | ||||
| Class 0 | 0.263 | 3 | 0.967 | 19.4 | 18.6 | 18.6 | 17.3 |
| Class 1 | 0.504 | 3 | 0.918 | 51.7 | 51.7 | 52.5 | 49.1 |
| Class 2 | 2.527 | 3 | 0.470 | 19.4 | 19.3 | 26.0 | 22.9 |
| Class 3 | 10.878 | 3 | 0.012 | 9.5 | 10.4 | 2.9 | 11.7 |
|
| |||||||
| Class 0 | 0.932 | 3 | 0.817 | 25.9 | 21.1 | 27.6 | 20.3 |
| Class 1 | 0.686 | 3 | 0.876 | 77.8 | 71.9 | 65.5 | 67.8 |
| Class 2 | 2.499 | 3 | 0.476 | 14.8 | 7.02 | 6.9 | 11.9 |
| Class 3 | / | / | / | ||||
Leaf damage was quantified by assigning plants to four different categories according to the amount of damage: class 0 no signs of leaf damage, 1 up to 10% of leaf area damaged, 2 up to 30% of leaf area damaged, and 3 up to 50% of leaf area damaged. None of the oat plants had more than 50% of leaf area damaged, and none of the strawberry plants had more than 30% of leaf area damaged. Strong leaf damage (Class 3) occurred less frequent in oat plants of the G treatment compared to plants from other treatments; analyzed with Chi-squared test for given probabilities and Fisher‘s exact test for pairwise comparisons. Significant results are marked with *p < 0.05 (N = 576).
FIGURE 3The effect of different treatments (C, control; P, phosphate fertilizer; G, GBH application and PG, phosphate fertilizer and GBH application) on (A) potato growth measured as aboveground biomass and (B) strawberry growth measured as number of leaves. Statistical significance between control and different treatments was tested with Dunnett’s Post hoc test following significant ANOVA, *p < 0.05 (N = 128 for potato, N = 131 for strawberry).