Biology subjects

Nicotra, A. B.

Publications and source records attributed to Nicotra, A. B..

10 recordsLinked to original sources

bioRxiv2026

Towards a standard approach to investigating the Thermal Load Sensitivity of photosystem II via chlorophyll fluorescence

Evaluating the drivers of variation in plant thermal tolerance limits requires a clearer understanding of how methodological matters can lead to different tolerance estimates. Chlorophyll fluorometry - to measure the temperature-dependent change in FV/FM - is a well-established approach to derive tolerance thresholds of photosystem II (PSII) in plants, but one-off, time-specific thermal exposures do not consider the fundamental dose-dependent effect of heat. The resurgent thermal death time (TDT) approach integrates both the temperature intensity and the exposure duration to derive time-based critical temperature thresholds and sensitivity parameters. We build upon this foundation to develop a protocol for evaluating thermal load sensitivity (TLS; non-lethal heat stress) of PSII in plants. Through five experiments across four diverse species, we tested the moderating effects of light, leaf sectioning, time since collection, and the temporal dynamics of FV/FM recovery. There were dramatic changes in tolerance threshold estimates based on thermal load (i.e. dose-dependent) effects on FV/FM, and strong effects of light intensity during heat and the presence of light post-heat. We offer recommendations pertaining to method implementation and discuss future empirical avenues. Appraising cumulative heat stress will enhance the utility of thermal tolerance estimates - the TLS approach outlined here moves us toward a new standard.

ecology↗

bioRxiv2025

Morphological and heat-tolerance traits are associated with progression and impact of, but not vulnerability to, tree decline

Warming and drying climate trends are driving tree dieback worldwide with broad-reaching impacts on ecosystem services. Studying decline is unavoidably a retrospective exercise in which researchers are challenged to determine whether trait values that are associated with dieback are drivers versus consquences of decline. In this study, we use the subalpine snow gum (Eucalyptus pauciflora, ssp niphophila) as a case study to illustrate how to identify whether plant traits may explain vulnerability of individual trees, assess how progression of dieback symptoms affect traits and physiological tolerance, and ask whether those changes could exacerbate decline. While the impact of drought on tree mortality has been well documented, we consider the potential role of heat which has received considerably less attention. We assessed changes in leaf and stem morphology, and stomatal anatomy across a dieback severity and an abiotic elevation gradient. We also assessed the relationship between these traits, photosystem heat tolerance and dieback progression, using results to model leaf viability under current and future climate scenarios. While severely symptomatic trees exibited trait values indicating water stress, trees with low or moderate dieback were not different from unaffected ones. Thus the differences in severely affected trees are likely responses to water stress caused by woodborer girdling and provide no evidence of underlying trait difference driving vulnerability. Severely symptomatic trees, however, had lower photosystem heat tolerance and models indicated leaves were likely to accumulate lethal damage to photosystems within a growing season, thus contributing to a feedback cycle of decline even under current thermal regimes. HighlightsO_LIAccounting for abiotic, spatial variation explains complex relationships in dieback research C_LIO_LIInsect mediated dieback induces trait variation consistent with water limitation C_LIO_LINo evidence of variation in vulnerability to dieback among snow gum individuals C_LIO_LIDieback-induced reduction in heat tolerance compounds heat load effects C_LIO_LIWarming induced heat loading will compromise carbon gain and exacerbate decline C_LI

ecology↗

bioRxiv2024

Phenotypic plasticity in response to growth temperature far outweighs other environmental and genetic causes of variation in an alpine plant

Phenotypic plasticity and rapid evolution are fundamental processes by which organisms can maintain their function and fitness in the face of environmental changes. Here we quantified the plasticity and evolutionary potential of an alpine herb Wahlenbergia ceracea. Utilising its mixed-mating system, we generated outcrossed and self-pollinated families that were grown in either cool or warm environments, and that had parents that had also been grown in either cool or warm environments. We then analysed the contribution of environmental and genetic factors to variation in a range of phenotypic traits including phenology, leaf mass per area, photosynthetic function, thermal tolerance, and reproductive fitness. The strongest effect was that of current growth temperature, indicating strong phenotypic plasticity. All traits except thermal tolerance were plastic, whereby warm-grown plants flowered earlier, grew larger, produced more reproductive stems compared to cool-grown plants. Flowering onset and biomass were heritable and under selection, with early flowering and larger plants having higher relative fitness. There was little evidence for transgenerational plasticity, maternal effects, or genotype-by-environment interactions. Inbreeding delayed flowering and reduced reproductive fitness and biomass. Overall, we found that W. ceracea has the capacity to respond rapidly to climate warming via plasticity, and the potential for evolutionary change. HighlightWe found strong plasticity to growth environment in many phenotypic traits, but little effect of parental environment, revealing capacity to respond rapidly to climate warming, and potential for evolutionary change.

ecology↗

bioRxiv2023

Elevation-dependent patterns of snow-gum dieback are moderated by trait differences between montane and subalpine forests.

Subalpine forests worldwide face the synergistic threats of global warming and increased biotic attack, and the collapse or transition of subalpine forests is predicted in south-eastern Australia under future climates. The recent widespread dieback of subalpine snow gum forests due to increased activity of a native wood-boring longicorn beetle suggests this process may already be underway. We investigated how variation in tree tissue traits and environmental conditions correlated with elevation-dependent spatial patterns of forest mortality. We hypothesised that increased vulnerability of subalpine snow gums to wood-borer-mediated dieback at intermediate elevations was associated with poorly-resolved differences in traits between montane (Eucalyptus pauciflora subsp. pauciflora) and subalpine (E. pauciflora subsp. niphophila) snow-gum subspecies. We first sought to characterise variation and elevation-dependent transitions in 20 structural and drought-related functional traits among 120 healthy trees distributed along a 1000m elevation transect which spanned the subspecies transition zone. Secondly, we surveyed 774 trees across 53 sites between 1280-1980m asl. to explore associations between borer-damage severity, elevation, subspecies, and a subset of traits that differed between subspecies. These snow-gum subspecies exhibited mean differences and/or divergent elevation responses in 25% of traits surveyed, indicating contrasting suites of traits between montane and subalpine subspecies. Increased borer-damage severity across the montane-to-subalpine subspecies transition was correlated with lower bark thickness, whereas reduced borer damage at the highest elevations was associated with greater precipitation and lower temperatures. Our results suggest that due to possessing distinct traits associated with increased borer susceptibility, subalpine snow-gum forests will be subject to increased risk of severe borer-mediated forest dieback under warmer and drier future climates. Identifying traits contributing to species distribution limits and biotic-agent vulnerability remains critical for predicting, monitoring, and possibly mitigating forest and vegetation declines under future climates.

ecology↗

bioRxiv2023

Drivers of thermal tolerance breadth of plants across contrasting biomes: do mean or seasonality in climate indices matter more?

O_LIThe climate variability hypothesis (CVH) predicts that species from environments with more variable temperatures should have wider thermal tolerance breadth. This hypothesis has not yet been tested thoroughly across diverse plants. Here, we asked how local climate predictors (including precipitation, mean and extreme temperatures and thermal variability) are associated with species physiological thermal limits. C_LIO_LIMeasures of lower (Tcrit-cold) and upper (Tcrit-hot) photosystem II thermal tolerance thresholds were used to determine thermal tolerance breadth (TTB), along with ice nucleation temperature (Tnucleation, freezing tolerance) of 69 plant species sampled from the field across three contrasting biomes: alpine, desert and coastal temperate rainforest. C_LIO_LIAll measured thermal tolerance metrics (Tcrit-cold, Tnucleation, Tcrit-hot and TTB) differed among biomes. Notably, desert species had the most cold and heat tolerant leaves, and therefore the widest TTB, whereas species in alpine and temperate biomes had similar TTB. For plants in all biomes, TTB exceeded the thermal range of their local climate. C_LIO_LIOverall, two Principal Component axes of local climate drivers explained substantial variation in all tolerance metrics. Extreme hot, dry climates improved freezing and heat tolerance. High thermal variability and low minimum temperatures also improved freezing tolerance but were unrelated to heat tolerance or TTB. Species explained a significant amount of variation among all metrics, but this was not due to phylogenetic relatedness. We discuss how the remaining variation could be due to microclimate-driven plasticity, leaf traits or thermoregulatory mechanisms. C_LIO_LISynthesis. Our results provide partial support for the climate variability hypothesis in plants: photosystem thermal tolerance breadth was greatest in more thermally variable biomes. This relationship was largely driven by cold tolerance, with variation in heat tolerance explained better by mean and extreme temperatures. Therefore, we conclude that the CVH alone is not sufficient to explain variation in plant thermal tolerance, with many other aspects of climate, environment and biology being potentially important drivers. C_LI

ecology↗

bioRxiv2023

Transcriptional acclimation to warming temperatures of the Australian alpine herb Wahlenbergia ceracea

Understanding the molecular mechanisms of heat tolerance could help to predict the impacts of climate change on our native flora. However, much of our current understanding is derived from Arabidopsis thaliana and select crops exposed to short and intense periods of heat stress. Here, we characterise the transcriptomic response of Wahlenbergia ceracea, a perennial herb found in Australias subalpine regions, to sustained moderate warming. We contrasted responses between relatively heat-tolerant and heat-sensitive lines grown under cool (24/15 {o}C day/night) or warm (30/20 {o}C) temperatures. We observed that sustained warming up-regulated genes related to RNA regulation, including modification and splicing, and down-regulated genes associated with photosynthesis and plastid organization. Interestingly, heat-tolerant lines demonstrated a more pronounced repression of photosynthesis-associated genes, compared to heat-sensitive lines, suggesting that the regulation of the light-harvesting machinery may contribute to photosystem thermal tolerance. Co-expression analyses revealed only weak module-level correlations with direct measures of thermal tolerance. However, stronger associations were evident with chlorophyll content and photosynthetic efficiency, which might indirectly influence thermal tolerance. Prediction of transcription factors targeting warming-responsive genes implicated hormone signaling networks, especially ethylene, in contributing to differences in thermal tolerance. In conclusion, we present genomic resources for transcriptome analyses in W. ceracea and highlight the contrasting gene regulatory patterns between relatively heat-tolerant and heat-sensitive W. ceracea lines experiencing sustained moderate warming.

plant biology↗

bioRxiv2021

A rapid prototyping approach for intensive field courses to build scientific and professional skills

This paper reports on the design and evaluation of Field Studies in Functional Ecology (FSFE), a two-week intensive residential field course that enables students to master core content in functional ecology alongside skills that facilitate their transition from student to scientist. This paper provides an overview of the course structure, showing how the constituent elements have been designed and refined over successive iterations of the course. We detail how FSFE students: 1. Work closely with discipline specialists to develop a small group project that tests an hypothesis to answer a genuine scientific question in the field; 2. Learn critical skills of data management and communication; and 3. Analyse, interpret and present their results in the format of a scientific symposium. This process is repeated in an iterative cognitive apprenticeship model, supported by a series of workshops that name and explicitly instruct the students in hard and soft skills critical relevant for research and other careers. FSFE students develop a coherent and nuanced understanding of how to approach and execute ecological studies. The sophisticated knowledge and ecological research skills that they develop during the course is demonstrated through high quality presentations and peer-reviewed publications in an open-access, student-led journal. We outline our course structure and evaluate its efficacy to show how this novel combination of field course elements allows students to gain maximum value from their educational journey, and to develop cognitive, affective and reflective tools to help apply their skills as scientists.

scientific communication and education↗

bioRxiv2020

A high-throughput method for measuring critical thermal limits of leaves by chlorophyll imaging fluorescence

Plant thermal tolerance is a crucial research area as the climate warms and extreme weather events become more frequent. Leaves exposed to temperature extremes have inhibited photosynthesis and will accumulate damage to photosystem II (PSII) if tolerance thresholds are exceeded. Temperature-dependent changes in basal chlorophyll fluorescence (T-F0) can be used to identify the critical temperature at which PSII is inhibited. We developed and tested a high-throughput method for measuring the critical temperatures for PSII at low (CTMIN) and high (CTMAX) temperatures using a Maxi-Imaging fluorimeter and a thermoelectric Peltier plate heating/cooling system. We examined how experimental conditions: wet vs dry surfaces for leaves and heating/cooling rate, affect CTMIN and CTMAX across four species. CTMAX estimates were not different whether measured on wet or dry surfaces, but leaves were apparently less cold tolerant when on wet surfaces. Heating/cooling rate had a strong effect on both CTMAX and CTMIN that was species-specific. We discuss potential mechanisms for these results and recommend settings for researchers to use when measuring T-F0. The approach that we demonstrated here allows the high-throughput measurement of a valuable ecophysiological parameter that estimates the critical temperature thresholds of leaf photosynthetic performance in response to thermal extremes.

plant biology↗

bioRxiv2020

Predicting species and community responses to global change in Australian mountain ecosystems using structured expert judgement

Conservation managers are under increasing pressure to make decisions about the allocation of finite resources to protect biodiversity under a changing climate. However, the impacts of climate and global change drivers on species are outpacing our capacity to collect the empirical data necessary to inform these decisions. This is particularly the case in the Australian Alps which has already undergone recent changes in climate and experienced more frequent large-scale bushfires. In lieu of empirical data, we used a structured expert elicitation method (the IDEA protocol) to estimate the abundance and distribution of nine vegetation groups and 89 Australian alpine and subalpine species by the year 2050. Experts predicted that most alpine vegetation communities would decline in extent by 2050; only woodlands and heathlands were predicted to increase in extent. Predicted species-level responses for alpine plants and animals were highly variable and uncertain. In general, alpine plants spanned the range of possible responses, with some expected to increase, decrease or not change in cover. By contrast, almost all animal species were predicted to decline or not change in abundance or elevation range; more species with water-centric life-cycles were expected to decline in abundance than other species. In the face of rapid change and a paucity of data, the method and outcomes outlined here provide a pragmatic and coherent basis upon which to start informing conservation policy and management, although this approach does not diminish the importance of collecting long-term ecological data. Article Impact StatementExpert knowledge is used to quantify the adaptive capacity and thus, the risk posed by global change, to Australian mountain flora and fauna.

ecology↗

bioRxiv2017

Landscape genomic prediction for restoration of a Eucalyptus foundation species under climate change

As species face rapid environmental change, we can build resilient populations through restoration projects that incorporate predicted future climates into seed sourcing decisions. Eucalyptus melliodora is a foundation species of a critically endangered community in Australia that is a target for restoration. We examined patterns of genomic and phenotypic variation to make empirical based recommendations for seed sourcing. We examined isolation by distance and isolation by environment, determining gene flow up to 500 km and associations with environmental variables. Climate chamber studies revealed extensive phenotypic variation both within and among sampling sites, but no site-specific differentiation in phenotypic plasticity. Overall our results suggest that seed can be sourced broadly across the landscape, providing ample diversity for adaptation to environmental change. Application of our landscape genomic model to E. melliodora restoration projects can identify genomic variation suitable for predicted future climates, thereby increasing the long term probability of successful restoration.

genomics↗