Intraspecific variation in plant economic traits predicts trembling aspen resistance to a generalist insect herbivore

Morrow, Clay J.; Jaeger, Samuel J; Lindroth, Richard L.

doi:10.1007/s00442-022-05158-z

Cited by 8 publications

(11 citation statements)

References 56 publications

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“…Preference and performance of folivorous insects vary depending on plant leaf quality [3,46]. Due to generalist feeding habit and high mobility, GM larvae encounter large inter-and intra-specific variation in nutritional, allelochemical, and morphological attributes of their hosts [22,33,35,[47][48][49][50]. High quality plants that are nutritionally adequate and contain low level of toxic secondary metabolites are commonly preferred by GMs, improve their fitness, affect interaction with other environmental factors, and thus population dynamics and probability of outbreaks [8,51,52].…”

Section: Discussionmentioning

confidence: 99%

Suitability of Turkey Oak, European Beech, and Hornbeam to Gypsy Moth Feeding

Milanović

Miletić

Marković

et al. 2022

Forests

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Pest resistance of trees should be taken into account in future forest strategy planning and predicting risks of defoliation. The gypsy moth (GM) (Lymantria dispar L.) is a serious forest pest with outbreaking population dynamics. To estimate defoliation risk of the most widely distributed tree species in Balkan Peninsula and Europe (Turkey oak Quercus cerris L., European beech Fagus sylvatica L. and hornbeam Carpinus betulus L.), we carried out laboratory feeding trials and investigated their acceptability and suitability for GM development. We determined morphological and chemical attributes of these hosts as well as larval host preference, growth and nutritional indices. Preference, growth, and efficiency of food conversion into biomass were ranked in the order: Turkey oak ˃ European beech ˃ hornbeam. Hornbeam was the most avoided and showed the lowest conversion efficiency although, comparing to optimal oak host, its leaves were less tough, contained more water and exhibited similar values of nitrogen (index of protein content) and C/N ratio (index of investment into carbon based plant defense). We suggest that hornbeam and beech leaf chemical profiles should be further studied to reveal specific compounds that impose high metabolic cost to GM larvae. Moreover, additional research are needed to understand how intermediate hosts in natural populations affect GM outbreaks.

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Section: Discussionmentioning

confidence: 99%

Suitability of Turkey Oak, European Beech, and Hornbeam to Gypsy Moth Feeding

Milanović

Miletić

Marković

et al. 2022

Forests

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Section: Introductionmentioning

confidence: 99%

“…The copyright holder for this preprint this version posted December 14, 2022. ; https://doi.org/10.1101/2022.12.11.519980 doi: bioRxiv preprint herbivory risk (Albert et al 2010, Violle et al 2012, Siefert et al 2015, Hahn and Maron 2016, Fajardo and Siefert 2018, Hahn et al 2018, Lynn and Fridley 2019. Some recent work from two disparate systems-Populus tremuloides in temperate region (Morrow et al 2022) and an invasive species, Chromoleana odorata, from the tropics (Li et al 2022) indicates potential for trait covariation within species such that acquisitive plants are also better defended.…”

Section: Introductionmentioning

confidence: 99%

“…Plant defense and LES traits may be correlated in several different ways depending on associations between resource supply and risk from herbivory. For instance, at high resource supply, resource acquisitive traits such as high specific leaf area (SLA), high leaf nitrogen (N) and short leaf lifespan (LLS) create high quality tissue, which may also make the plants more vulnerable to herbivory; thus, these plants may invest in secondary defensive metabolites (metabolic defense strategy) (Chauvin et al 2018, Agrawal 2020, Morrow et al 2022) (Fig 1a,b). In contrast, at low resource supply resource conservative traits such as low SLA, low leaf N (i.e., low plant quality) and long LLS may also deter herbivores or support low herbivore abundance, likely causing structural defense traits such as cellulose and lignin to be negatively associated with resource acquisitiveness (Mason and Donovan 2015, Abdala-Roberts et al 2018, Agrawal 2020) (Fig 1a,d) (avoidance strategy).…”

Section: Introductionmentioning

confidence: 99%

“…Both LES and defense traits show considerable intraspecific variation usually along gradients of climate, resources, and/or herbivory risk (Albert et al 2010, Violle et al 2012, Siefert et al 2015, Hahn and Maron 2016, Fajardo and Siefert 2018, Moreira et al 2018, Hahn et al 2018, Lynn and Fridley 2019). Some recent work from two disparate systems- Populus tremuloides in temperate region (Morrow et al 2022) and an invasive species, Chromoleana odorata , from the tropics (Li et al 2022) indicates potential for trait covariation within species such that acquisitive plants are also better defended. But intraspecific covariation in defense and LES traits remains poorly understood in plants that experience mammalian herbivory.…”

Section: Introductionmentioning

confidence: 99%

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Integrating defense and leaf economic spectrum traits in a tropical savanna plant

Mohanbabu

Veldhuis

Jung

et al. 2022

Preprint

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1. Allocation to plant defense traits likely depends on resource supply, herbivory, and other plant functional traits such as the leaf economic spectrum (LES) traits. Yet, attempts to integrate defense and resource acquisitive traits remains elusive. 2. We assessed intraspecific correlations between different defense and LES traits in a widely distributed tropical savanna herb, Solanum incanum, a unique model species for studying allocations to physical, chemical, and structural defenses to mammalian herbivory. 3. In a multivariate trait space, the structural defenses - lignin and cellulose - were positively related to the resource conservative traits - low SLA and low leaf N. Phenolic content, a chemical defense, was positively associated with resource acquisitive traits - high SLA and high leaf N - while also being associated with an independent third component axis. Both principal components 1 and 3 were not associated with resource supply and herbivory intensity. In contrast, spine density - a physical defense - was orthogonal to the LES axis and positively associated with soil P and herbivory intensity. 4. Synthesis: These results suggest a hypothesized pyramid of trade-offs in allocation to defense along the LES and herbivory intensity axes. Therefore, future attempts to integrate defense traits with the broader plant functional trait framework needs a multifaceted approach that accounts for unique influences of resource acquisitive traits and herbivory intensity.

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Applying an interpretable machine learning approach to assess intraspecific trait variation under landscape-scale population differentiation

Majumder

Mason

2023

Preprint

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Premise: Here we demonstrate the application of interpretable machine learning methods to investigate intraspecific functional trait divergence using diverse genotypes of the wide-ranging sunflower Helianthus annuus occupying populations across contrasting ecoregions - the Great Plains versus the North American Deserts. Methods: Recursive feature elimination was applied to functional trait data from the HeliantHome database, followed by the application of Boruta to detect traits most predictive of ecoregion. Random Forest and Gradient Boosting Machine classifiers were then trained and validated, with results visualized using accumulated local effects plots. Key Results: The most ecoregion-predictive functional traits span categories of leaf economics, plant architecture, reproductive phenology, and floral and seed morphology. Relative to the Great Plains, genotypes from the North American Deserts exhibit shorter stature, fewer leaves, higher leaf nitrogen, and longer average length of phyllaries. Conclusions: This approach readily identifies traits predictive of ecoregion origin, and thus functional traits most likely to be responsible for contrasting ecological strategies across the landscape. This type of approach can be used to parse large plant trait datasets in a wide range of contexts, including explicitly testing the applicability of interspecific paradigms at intraspecific scales.

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Intraspecific variation in plant economic traits predicts trembling aspen resistance to a generalist insect herbivore

Cited by 8 publications

References 56 publications

Suitability of Turkey Oak, European Beech, and Hornbeam to Gypsy Moth Feeding

Suitability of Turkey Oak, European Beech, and Hornbeam to Gypsy Moth Feeding

Integrating defense and leaf economic spectrum traits in a tropical savanna plant

Applying an interpretable machine learning approach to assess intraspecific trait variation under landscape-scale population differentiation

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