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Endara, M.-J.

Publications and source records attributed to Endara, M.-J..

5 recordsLinked to original sources

Hybridisation and herbivory fuel Amazonian tree radiations

Tropical rainforests, and Amazonia in particular, contain more tree species than anywhere else, most of which arose through rapid evolutionary radiations 1-3. Rapid radiations are often catalysed by ecological opportunity 4-6, which in rainforest trees is presented by intense insect herbivore pressure, spurring the evolution of novel plant defence chemistry to escape it 7. However, we do not understand how long-lived trees can adapt quickly enough to keep pace with rapidly-evolving insect herbivores. Here we show that hybridisation in rainforest trees, which was considered rare, allows exchange of gene clusters used in chemical defence against herbivore attack, facilitating rapid adaptation and diversification. Using genome sequencing for 461 individuals from the genus Inga, a characteristic Amazonian tree radiation, we find that regional tree communities form syngameons - networks of closely related, co-occurring species connected by gene flow. Integrating these genomes with herbivore abundance data from the same communities across the tropical Americas, we show that herbivore compositional turnover coincides with local, recurrent interspecific transfer of defence gene clusters that are retained by balancing selection, consistent with fluctuating selective pressure imposed by shifting herbivore communities. Together, our results demonstrate that hybridisation allows long-lived tropical trees to rapidly evolve chemical defences, fuelling adaptation to the relentless insect herbivory that structures the worlds most species-rich forests.

evolutionary biology↗

leafing phenology and insect seasonality in an ever-wet tropical forest

Seasonal patterns in tropical insect communities remain poorly understood because temperature is rarely limiting to growth or reproduction in tropical climates. In these regions, insect seasonality is often attributed to rainfall, yet distinct seasonal dynamics also occur in ever-wet forests where climatic fluctuations are minimal. Here, we examine the seasonality of abundance and diversity in lepidopteran herbivores associated with the tropical tree genus Inga in Yasuni, an aseasonal lowland rainforest in the Ecuadorian Amazon. We find that both leaf production and herbivore communities show pronounced seasonal peaks during the driest and brightest months of the year. Using structural equation modeling, we evaluate the relative roles of climate and leaf production in shaping insect seasonality and find support for both pathways. Finally, we show that communities feeding on expanding versus mature leaves differ strongly in composition, with expanding leaves supporting more specialized and phylogenetically divergent herbivore assemblages. Together, these results demonstrate that even in an ever-wet tropical forest, subtle climatic cues and host phenology interact to drive pronounced insect seasonality

ecology↗

Reassembly of a tropical rainforest ecosystem: A new chronosequence in the Ecuadorian Choco tested with the recovery of tree attributes

From hunting and foraging to clearing land for agriculture, humans modify forest biodiversity, landscapes, and climate. Forests constantly undergo disturbance-recovery dynamics and understanding them is a major objective of ecologists and conservationists. Chronosequences are a useful tool for understanding global restoration efforts. They represent a space-for-time substitution approach suited for the quantification of the resistance of ecosystem properties to withstand disturbance and the resilience of these properties until reaching pre-disturbance levels. Here we introduce a newly established chronosequence with 62 plots (50 50 m) in active cacao plantations and pastures, early and late regeneration, and mature old-growth forests, across a 200 km2 area in the extremely wet Choco rainforest. Our chronosequence covers by far the largest total area of plots compared to others in the Neotropics. Plots ranged from 159-615 masl in a forested landscape with 74 {+/-} 2.8 % forest cover within a 1-km radius including substantial old-growth forest cover. Land-use legacy and regeneration time were not confounded by elevation. We tested how six forest structure variables (maximum tree height and DBH, basal area, number of stems, vertical vegetation heterogeneity, and light availability), aboveground biomass (AGB), and rarefied tree species richness change along our chronosequence. Forest structure variables, AGB, and tree species richness increased with regeneration time and are predicted to reach similar levels to those in old-growth forests after ca. 30-116, 202, and 108 yrs, respectively. Compared to previous work in the Neotropics, old-growth forests in Canande accumulate high AGB that takes one of the largest time spans reported until total recovery. Our chronosequence comprises one of the largest tree species pools, covers the largest total area of regenerating and old-growth forests, and has higher forest cover than other Neotropical chronosequences. Hence, our chronosequence can be used to determine the time for recovery and stability (resistance and resilience) of different taxa and ecosystem functions, including species interaction networks. This integrative effort will ultimately help to understand how one of the most diverse forests on the planet recovers from large-scale disturbances.

ecology↗

Leaf metabolic traits reveal hidden dimensions of plant form and function

The plant metabolome encompasses the biochemical mechanisms through which evolutionary and ecological processes shape plant form and function1,2. However, while the metabolome should thus be an important component of plant life-history variation3, we know little about how it varies across the plant kingdom. Here, we use the plant functional trait concept4 - a powerful framework for describing plant form and function5-7 - to interpret leaf metabolome variation among 457 tropical and 339 temperate plant species. Distilling metabolite chemistry into five discriminant metabolic functional traits reveals that plants vary along two major axes of leaf metabolic specialization - a leaf chemical defense spectrum and an expression of leaf longevity. These axes are qualitatively consistent for tropical and temperate species, with many trait combinations being viable. However, axes of leaf metabolic specialization vary orthogonally to life-history strategies described by widely used functional traits5-7, while being at least equally important to them. Our findings question classical trait6 and plant defense8 theory that predicts relationships between the leaf chemical phenotype, plant productivity, and pace of life. Moreover, we show that metabolic functional traits describe unique dimensions of plant life-history variation that are complementary to, and independent from, those captured by existing plant functional traits.

ecology↗

Diversity and Divergence: Evolution of defense chemistry in the tropical tree genus Inga

O_LIPlants are widely recognized as chemical factories, with each species producing dozens to hundreds of unique secondary metabolites. These compounds shape the interactions between plants and their natural enemies. Here we explore how plants generate chemical diversity, and what evolutionary processes have led to novel compounds and unique chemical profiles. C_LIO_LIWe comprehensively characterized the chemical profile of one-third of the species of tropical rainforest trees in the genus Inga ([~] 100, Fabaceae) and applied phylogenetic comparative methods to understand the mode of chemical defense evolution. C_LIO_LIWe show that: 1) Each Inga species produces exceptionally high levels of phytochemical diversity, despite costs, tradeoffs and biosynthetic constraints. 2) Closely related species have highly divergent defense profiles, with individual compounds, major compound classes and complete profiles showing little to no phylogenetic signal. 3) We show that the evolution of a species chemical profile shows a signature of divergent adaptation, implying that it is advantageous for a species to have distinct chemistry from close relatives to avoid shared natural enemies. 4) Finally, we hypothesize a model where deep homology of biosynthetic pathways and rapid changes in regulatory mechanisms may better explain the observed large shifts in defense chemicals between closely related taxa. C_LI

evolutionary biology↗