SummaryLeaf defenses are widely recognized as key adaptations and drivers of plant evolution. Across environmentally diverse habitats, the macroevolution of leaf defenses can be predicted by the univariate trade-off model, which predicts that defenses are functionally redundant and thus trade off, and the resource availability hypothesis, which predicts that defense investment is determined by inherent growth rate and that higher defense will evolve in lower resource environments.Here, we examined the evolution of leaf physical and chemical defenses and secondary metabolites in relation to environmental characteristics and leaf economic strategy across 28 species of Helianthus (the sunflowers).Using a phylogenetic comparative approach, we found few evolutionary trade-offs among defenses and no evidence for defense syndromes. We also found that leaf defenses are strongly related to leaf economic strategy, with higher defense in more resource-conservative species, although there is little support for the evolution of higher defense in low-resource habitats.A wide variety of physical and chemical defenses predict resistance to different insect herbivores, fungal pathogens, and a parasitic plant, suggesting that most sunflower defenses are not redundant in function and that wild Helianthus represents a rich source of variation for the improvement of crop sunflower.

Summary1. Efforts to understand the effects of plant traits on carbon and nutrient cycling have recently focused on species variation and the potential for species data to improve predictions of past, present and future variation in ecosystems. However, the evolutionary lability of relevant traits among closely related species and the extent of intraspecific variation warrant further consideration. 2. Here, we examine interspecific and intraspecific variation in leaf N, LMA, root N and SRL at multiple scales, using Helianthus as a representative study system. 3. Substantial evolutionary lability of traits is demonstrated by interspecific variation in phylogenetically explicit analyses of closely related Helianthus species, and population differentiation of wild H. anomalus and cultivated H. annuus. 4. Intraspecific variation in leaf N and LMA, including genetic, environmental and ontogenetic responses, demonstrates that trait values for a single species can encompass a surprisingly large portion of the range encompassed by species in the leaf economics spectrum. 5. Synthesis. We recommend using data from selected natural populations to model effects of leaf N and LMA on decomposition, while using data from common garden experiments to determine evolutionary lability and thus inform potential for evolutionary change. If the high evolutionary lability of traits demonstrated for Helianthus is found for other important genera, this would suggest that these key ecophysiological traits are likely to respond to the selective pressures of global climate and land-use change.

At any given time, only a subset of microbial community members are active in their environment. The others are in a state of dormancy, with strongly reduced metabolic rates. It is of interest to distinguish active and inactive microbial cells and taxa to understand their functional contributions to ecosystem processes and to understand shifts in microbial activity in response to change. Of the methods used to assess microbial activity-dormancy dynamics, 16S rRNA/rRNA gene amplicons (16S ratios) and active cell staining with 5-cyano-2,3-ditolyl tetrazolium chloride (CTC) are two of the most common, yet each method has limitations. Given thatin situactivity-dormancy dynamics are proxied only by laboratory methods, further study is needed to assess the level of agreement and potential complementarity of these methods. We conducted two experiments investigating microbial activity in plant-associated soils. First, we treated corn field soil with phytohormones to simulate plant soil stress signaling, and second, we used rhizosphere soil from common bean plants exposed to drought or nutrient enrichment. Overall, the 16S ratio and CTC methods exhibited similar patterns of relative activity across treatments when treatment effects were large, and the instances in which they differed could be attributed to changes in community size (e.g., cell death or growth). Therefore, regardless of the method used to assess activity, we recommend quantifying community size to inform ecological interpretation. Our results suggest that the 16S ratio and CTC methods report comparable patterns of activity that can be applied to observe ecological dynamics over time, space, or experimental treatment.IMPORTANCEAlthough the majority of microorganisms in natural ecosystems are dormant, relatively little is known about the dynamics of the active and dormant microbial pools through both space and time. The limited knowledge of microbial activity-dormancy dynamics is in part due to uncertainty in the methods currently used to quantify active taxa. Here, we directly compared two of the most common methods (16S ratios and active cell staining) for estimating microbial activity in plant-associated soil and found that they were largely in agreement in the overarching patterns. Our results suggest that 16S ratios and active cell staining provide complementary information for measuring and interpreting microbial activity-dormancy dynamics in soils. They also support the idea that 16S rRNA/rRNA gene ratios have comparative value and offer a high-throughput, sequencing-based option for understanding relative changes in microbiome activity, as long as this method is coupled with quantification of community size.

Plant leaves harbor complex microbial communities that influence plant health and productivity. Nevertheless, a detailed understanding of phyllosphere community assembly and drivers is needed, particularly for phyllosphere fungi. Here, we investigated seasonal dynamics of epiphytic phyllosphere fungal communities in switchgrass (Panicum virgatum L.), a focal bioenergy crop. We also leverage previously published data on switchgrass phyllosphere bacterial communities from the same experimental plants, allowing us to compare fungal and bacterial dynamics and explore inter-Domain network associations in the switchgrass phyllosphere. Overall, we found a strong impact of sampling date on fungal community composition, with multiple taxonomic levels exhibiting clear temporal patterns in relative abundance. In addition, leaf nitrogen concentration, leaf dry matter content, plant height, and minimum daily air temperature explained significant variation in phyllosphere fungal communities, likely due to their correlation with sampling date. Finally, among the core taxa, fungal-bacterial network associations were much more common than bacteria-bacteria associations, suggesting the importance of inter-Domain phylogenetic diversity in microbiome assembly. Although our findings highlight the complexity of phyllosphere microbiome assembly, the clear temporal patterns in lineage-specific fungal abundances give promise to the potential for accurately predicting shifts in fungal phyllosphere communities throughout the growing season, a key research priority for sustainable agriculture.

1. Species coexistence requires differential response to inter-and intraspecific competition, typically conceptualized as niche differentiation. Coexistence of close relatives therefore poses an interesting scenario with regards to niche differentiation since these species generally have many traits in common due to shared ancestry. Native Californian Trifolium assemblages are locally diverse and represent a unique system for understanding competitive interactions among close relatives.2. We conducted two similar greenhouse studies in which Trifolium fucatum was grown alone, with a conspecific competitor, and with a congeneric competitor (Trifolium macraei). In the first study, we assessed biomass production in T. fucatum, and in the second study we conducted an RNAseq analysis of T. fucatum roots to test for differentially expressed genes that may mediate competitive interactions and potentially coexistence.3. Compared to plants grown alone, competition (i.e. growth in the same pot) with a conspecific resulted in a greater reduction in biomass than competition with a congener, as predicted by theory. However, competition with a congener resulted in twice as many differentially expressed genes as competition with a conspecific. 4.Annotations of identified genes differentiating congeneric from conspecific competition suggest several functions attributed to interactions with third-party organisms, including nodulation with rhizobial mutualists, and defence responses against pathogens and herbivores. In addition, salt-responsive genes and an iron transporter were differentially expressed in congeneric competition, and comparisons of sodium and iron concentrations in field soils where these species are found showed that T. fucatum occurs in higher sodium and iron microsites than T. macraei. Thus, the transcriptome highlighted abiotic niche axes worth pursuing in future ecological experiments as potential mediators of coexistence. 5.We also found a subset of genes that responded similarly to both congeneric and conspecific competition in both direction and magnitude, indicating some conserved responses to competition, regardless of neighbour identity. 6. Synthesis. Transcriptomic analyses represent novel tools for identifying the molecular mechanisms underlying interactions among species. Working iteratively with ecological experimentation and observation, transcriptomes may allow us to identify novel dimensions of the n-dimensional niche that determine species' distributions and their ability to coexist.