Macroevolution of leaf defenses and secondary metabolites across the genus <i>Helianthus</i>

Mason, Chase M.; Bowsher, Alan W.; Crowell, Breanna L.; Celoy, Rhodesia M.; Tsai, Chung‐Jui; Donovan, Lisa A.

doi:10.1111/nph.13749

Cited by 54 publications

(72 citation statements)

References 117 publications

(197 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A recent phylogenetic analysis of sunflowers found that species with more resource-conservative traits were more defended, although this was apparently not driven by light or other aspects of the resource environment (Mason et al 2016). A recent phylogenetic analysis of sunflowers found that species with more resource-conservative traits were more defended, although this was apparently not driven by light or other aspects of the resource environment (Mason et al 2016).…”

Section: P Erspectivesmentioning

confidence: 99%

“…Here the relationship between leaf mass per area (all X axes) is shown against leaf nitrogen (column 1), trichome density (column 2), and defensive cardenolides (column 3) at each scale. 2 LES framework, and one study of sunflowers found trichome density to be unrelated to LES traits (Mason et al 2016). [Color figure can be viewed at wileyonlinelibra ry.com] Article e02924; page 18 ANURAG A. AGRAWAL Ecology,Vol.…”

Section: Leaf Economics and Defense In The Milkweedsmentioning

confidence: 99%

See 1 more Smart Citation

A scale‐dependent framework for trade‐offs, syndromes, and specialization in organismal biology

Agrawal

2020

Ecology

188

246

View full text Add to dashboard Cite

Citation: Agrawal, A. A. 2020. A scale-dependent framework for trade-offs, syndromes, and specialization in organismal biology. Ecology 101(2):Abstract. Biodiversity is defined by trait differences between organisms, and biologists have long sought to predict associations among ecologically important traits. Why do some traits trade off but others are coexpressed? Why might some trait associations hold across levels of organization, from individuals and genotypes to populations and species, whereas others only occur at one level? Understanding such scaling is a core biological problem, bearing on the evolution of ecological strategies as well as forecasting responses to environmental change. Explicitly considering the hierarchy of biodiversity and expectations at each scale (individual change, evolution within and among populations, and species turnover) is necessary as we work toward a predictive framework in evolutionary ecology. Within species, a trait may have an association with another trait because of phenotypic plasticity, genetic correlation, or population-level local adaptation. Plastic responses are often adaptive and yet individuals have a fixed pool of resources; thus, positive and negative trait associations can be generated by immediate environmental needs and energetic demands. Genetic variation and covariation for traits within a population are typically shaped by varying natural selection in space and time. Although genetic correlations are infrequently long-term constraints, they may indicate competing organismal demands. Traits are often quantitatively differentiated among populations (local Manuscript adaptation), although selection rarely favors qualitatively different strategies until populations become reproductively isolated. Across species, niche specialization to particular habitats or biotic interactions may determine trait correlations, a subset of which are termed "strategic trade-offs" because they are a consequence of adaptive specialization. Across scales, constraints within species often do not apply as new species evolve, and conversely, trait correlations observed across populations or species may not be reflected within populations. I give examples of such scale-dependent trait associations and their causes across taxonomic groups and ecosystems, and in the final section of the paper, I specifically evaluate leaf economics spectrum traits and their associations with plant defense against herbivory. Scale-dependent predictions emerge for understanding plant ecology holistically, and this approach can be fruitfully applied more generally in evolutionary ecology. Adaptive specialization and community context are two of the primary drivers of trade-offs and syndromes across biological scales.

show abstract

Section: P Erspectivesmentioning

confidence: 99%

Section: Leaf Economics and Defense In The Milkweedsmentioning

confidence: 99%

A scale‐dependent framework for trade‐offs, syndromes, and specialization in organismal biology

Agrawal

2020

Ecology

188

246

View full text Add to dashboard Cite

show abstract

“…Focused studies of tropical tree genera have found that congeneric species are often remarkably divergent in secondary metabolites (Becerra 1997, Kursar et al 2009, Fine et al 2013, Richards et al 2015, Salazar et al 2016. However, few studies have pursued untargeted metabolomics in a community or evolutionary context (Macel et al 2014, Richards et al 2015, Mason et al 2016) and none has examined interspecific metabolomic variation in a forest at the community scale.…”

Section: Introductionmentioning

confidence: 99%

Comparative foliar metabolomics of a tropical and a temperate forest community

Sedio

Parker

McMahon

et al. 2018

Ecology

View full text Add to dashboard Cite

Plant enemies that attack chemically similar host species are thought to mediate competitive exclusion of chemically similar plants and select for chemical divergence among closely related species. This hypothesis predicts that plant defenses should diverge rapidly, minimizing phylogenetic signal. To evaluate this prediction, we quantified metabolomic similarity for 203 tree species that represent >89% of all individuals in large forest plots in Maryland and Panama. We constructed molecular networks based on mass spectrometry of all 203 species, quantified metabolomic similarity for all pairwise combinations of species, and used phylogenetically independent contrasts to evaluate how pairwise metabolomic similarity varies phylogenetically. Leaf metabolomes exhibited clear phylogenetic signal for the temperate plot, which is inconsistent with the prediction. In contrast, leaf metabolomes lacked phylogenetic signal for the tropical plot, with particularly low metabolomic similarity among congeners. In addition, community‐wide variation in metabolomes was much greater for the tropical community, with single tropical genera supporting greater metabolomic variation than the entire temperate community. Our results are consistent with the hypothesis that stronger plant‐enemy interactions lead to more rapid divergence and greater metabolomic variation in tropical than temperate plants. Additional community‐level foliar metabolomes will be required from tropical and temperate forests to evaluate this hypothesis.

show abstract

“…Plants initiate the essential and secondary metabolism response of various plant pathogen associations and their immediate involvement in response to various pathogenic attacks cannot be denied (Mason et al, 2016). Among various essential metabolites, the regulation of amino acids has a particular role in plant resistance (Waqas et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Plant growth-promoting endophytic bacteria versus pathogenic infections: an example ofBacillus amyloliquefaciensRWL-1 andFusarium oxysporumf. sp.lycopersiciin tomato

Shahzad

Khan

Bilal

et al. 2017

PeerJ

View full text Add to dashboard Cite

Fungal pathogenic attacks are one of the major threats to the growth and productivity of crop plants. Currently, instead of synthetic fungicides, the use of plant growth-promoting bacterial endophytes has been considered intriguingly eco-friendly in nature. Here, we aimed to investigate the in vitro and in vivo antagonistic approach by using seed-borne endophytic Bacillus amyloliquefaciens RWL-1 against pathogenic Fusarium oxysporum f. sp. lycopersici. The results revealed significant suppression of pathogenic fungal growth by Bacillus amyloliquefaciens in vitro. Further to this, we inoculated tomato plants with RWL-1 and F. oxysporum f. sp. lycopersici in the root zone. The results showed that the growth attributes and biomass were significantly enhanced by endophytic-inoculation during disease incidence as compared to F. oxysporum f. sp. lycopersici infected plants. Under pathogenic infection, the RWL-1-applied plants showed increased amino acid metabolism of cell wall related (e.g., aspartic acid, glutamic acid, serine (Ser), and proline (Pro)) as compared to diseased plants. In case of endogenous phytohormones, significantly lower amount of jasmonic acid (JA) and higher amount of salicylic acid (SA) contents was recorded in RWL-1-treated diseased plants. The phytohormones regulation in disease incidences might be correlated with the ability of RWL-1 to produce organic acids (e.g., succinic acid, acetic acid, propionic acid, and citric acid) during the inoculation and infection of tomato plants. The current findings suggest that RWL-1 inoculation promoted and rescued plant growth by modulating defense hormones and regulating amino acids. This suggests that bacterial endophytes could be used for possible control of F. oxysporum f. sp. lycopersici in an eco-friendly way.

show abstract

Macroevolution of leaf defenses and secondary metabolites across the genus Helianthus

Cited by 54 publications

References 117 publications

A scale‐dependent framework for trade‐offs, syndromes, and specialization in organismal biology

A scale‐dependent framework for trade‐offs, syndromes, and specialization in organismal biology

Comparative foliar metabolomics of a tropical and a temperate forest community

Plant growth-promoting endophytic bacteria versus pathogenic infections: an example ofBacillus amyloliquefaciensRWL-1 andFusarium oxysporumf. sp.lycopersiciin tomato

Contact Info

Product

Resources

About