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Biology subjects

Ahrens, C. W.

Publications and source records attributed to Ahrens, C. W..

11 recordsLinked to original sources

Topographic complexity shapes adaptive genomic variation in co-occurring plant species

Co-occurring species often face similar selective environments, although adaptive responses to these environments are generally assumed to be species-specific, particularly in complex landscapes where selective pressures are likely to be multi-dimensional. We test this assumption by contrasting genotype-environment associations (GEAs) among a range of co-occurring but unrelated plants with different life histories from an isolated, mountainous national park in south-eastern Australia. Analyses were performed using single nucleotide polymorphism (SNP) loci derived from reduced genome representation sequencing to investigate genomic associations with spatial and environmental drivers across unrelated plant species within the same heterogeneous landscape. Several species showed GEAs that aligned with similar environmental gradients, particularly edaphic features, suggesting that similar selective pressures can shape genomic responses across taxa. Other species exhibited distinct spatial and environmental associations, highlighting idiosyncratic outcomes. Notably, GEAs were detected at fine spatial scales despite generally low levels of genome-wide divergence, suggesting adaptive variants can persist in the face of gene flow under strong selective pressure. This study highlights how community-level genomic diversity is shaped by common environmental processes, with implications for biodiversity management in rapidly changing environments, where diverse ecosystem-level responses to selection may underpin resilience.

evolutionary biology↗

Genomic prediction of disease resistance provides a path to marker assisted restoration in a wetland foundation tree species

Tree species worldwide are under threat from non-native pathogens that impact forests and the ecosystem services they provide. Myrtle rust, caused by Austropuccinia psidii, is one example, first detected in Australia in 2010. This fungal pathogen infects immature tissue from a wide range of Myrtaceae hosts, including the wetland foundation species Melaleuca quinquenervia. Durable restoration action for this species would preferentially incorporate disease resistant individuals. Our aim for this study was to provide a molecular assay to identify and select resistant individuals and seed lots for restoration. We conducted artificial inoculation of a panel of seedlings and measured their immune responses to myrtle rust. We then performed whole genome sequencing (3.2M common SNPs) and conducted a Genome Wide Association Study (N = 492), which revealed clusters of significantly associated SNPs in three chromosomal regions, including clusters of putative R genes. Associated SNPs were filtered to a panel of 1,049 for a highly accurate genomic prediction model (R = 0.83). This provides a relatively inexpensive approach to identifying resistant individuals or seed lots for restoration and a template for managing myrtle rust impacts while maintaining population genetic diversity.

plant biology↗

Building evolutionary resilience: a framework for managing safe haven populations

Safe havens are widely used to mitigate the impacts of invasive predators on threatened species, yet their isolation often disrupts evolutionary processes and can leave them vulnerable to environmental change and stochastic events. We present a framework for integrating evolutionary principles into safe haven management, termed 500-in-5, which establishes a metapopulation of >500 breeding individuals distributed across five geographically separated safe havens spanning environmental gradients. Using genetic and demographic simulations for two threatened Australian mammals, we demonstrate how this approach can enhance adaptive potential and persistence. Spatially explicit population models predict that many existing safe havens are at risk of collapse within decades. However, genetic simulations show that selection on standing genetic variation can drive fitness gains within tens of generations, improving population resilience to novel conditions. Integrating these processes reveals that safe haven networks can promote adaptation and resilience, substantially improving long-term persistence and providing robust sources for reintroductions.

ecology↗

Escaping inbreeding: the demographic path to genetic recovery

Bottlenecks pose a major threat to species persistence by reducing genetic diversity and increasing inbreeding. Although evolutionary theory suggests these constraints can be overcome, empirical evidence has largely come from invasive species. Here, we analyse whole-genome data from 418 koalas (Phascolarctos cinereus) across 27 populations to reconstruct demographic histories and examine rare genetic variation. We find that northern populations retain higher genetic diversity, while southern populations, despite severe bottlenecks, exhibit larger and increasing effective population sizes (Ne). This apparent contradiction is explained by increased reshuffling of genetic variation through recombination, and the accumulation of rare alleles during recent demographic expansion. Our findings demonstrate that rapid population growth can substantially elevate Ne, offering an evolutionary pathway by which threatened populations may "escape" the genetic risks of inbreeding.

evolutionary biology↗

Closely-related tree species with overlapping ranges exhibit divergent adaptation to climate

With global climate change shifting and altering temperature and precipitation regimes, the ability of natural forest stands to persist in their local environments are being challenged. For many taxa, particularly among long lived tree species, the potential to respond is underpinned by genetic and trait diversity and may be limited. We sampled 326 and 366 individuals of two widely distributed and closely-related red gum Eucalyptus species (E. blakelyi and E. tereticornis) from across their entire Australian range. We identified putatively adaptive variants associated within genes of key biological processes for both species. We mapped the change of allele frequencies of two hierarchical gene ontology groups shared by both species across geography and climate and predict genomically vulnerable regions under a projected 2070 climate scenario. Regions of potential vulnerability to decline under future climate differed between species and may be applied to guide conservation and restoration strategies. Our study indicated that some populations may contain the adaptive genomic variation necessary for these species to persist through climate change, while others may benefit from the adaptive variation of those populations to enhance resilience.

evolutionary biology↗

Genomic constraints to drought adaptation

Global shifts in climate and precipitation patterns are altering the diversity and structure of forests. The ability for species to adapt is especially difficult for long lived foundation species with unknown genetic and trait diversity. We harnessed genomic, physiological, and climate data to determine adaptation constraints. We used denovo assembly and 6.5 million genomic variants with drought related traits from 432 individuals sourced from across the complete range of the foundation tree species Corymbia calophylla. We found genomic variants determining traits predominantly in gene regulatory regions. The ability for populations to adapt was limited by within population genetic diversity associated with traits, and epistatic interactions within traits and pleiotropic interactions among traits. Nevertheless, we could accurately predict adaptive traits using genomic and climate data to guide reforestation. Our study indicated that some populations may contain variation sufficient for the species to adapt to the effects of drought, while other populations will need increased variability from those sources.

evolutionary biology↗

AusTraits: a curated plant trait database for the Australian flora

We introduce the AusTraits database - a compilation of measurements of plant traits for taxa in the Australian flora (hereafter AusTraits). AusTraits synthesises data on 375 traits across 29230 taxa from field campaigns, published literature, taxonomic monographs, and individual taxa descriptions. Traits vary in scope from physiological measures of performance (e.g. photosynthetic gas exchange, water-use efficiency) to morphological parameters (e.g. leaf area, seed mass, plant height) which link to aspects of ecological variation. AusTraits contains curated and harmonised individual-, species- and genus-level observations coupled to, where available, contextual information on site properties. This data descriptor provides information on version 2.1.0 of AusTraits which contains data for 937243 trait-by-taxa combinations. We envision AusTraits as an ongoing collaborative initiative for easily archiving and sharing trait data to increase our collective understanding of the Australian flora.

ecology↗

Regarding the F-word: the effects of data Filtering on inferred genotype-environment associations

Genotype-environment association (GEA) methods have become part of the standard landscape genomics toolkit, yet, we know little about how to filter genotype-by-sequencing data to provide robust inferences for environmental adaptation. In many cases, default filtering thresholds for minor allele frequency and missing data are applied regardless of sample size, having unknown impacts on the results. These effects could be amplified in downstream predictions, including management strategies. Here, we investigate the effects of filtering on GEA results and the potential implications for adaptation to environment. Using empirical and simulated datasets derived from two widespread tree species to assess the effects of filtering on GEA outputs. Critically, we find that the level of filtering of missing data and minor allele frequency affect the identification of true positives. Even slight adjustments to these thresholds can change the rate of true positive detection. Using conservative thresholds for missing data and minor allele frequency substantially reduces the size of the dataset, lessening the power to detect adaptive variants (i.e. simulated true positives) with strong and weak strength of selections. Regardless, strength of selection was a good predictor for GEA detection, but even SNPs under strong selection went undetected. We further show that filtering can significantly impact the predictions of adaptive capacity of species in downstream analyses. We make several recommendations regarding filtering for GEA methods. Ultimately, there is no filtering panacea, but some choices are better than others, depending largely on the study system, availability of genomic resources, and desired objectives of the study.

genomics↗

Adaptive plasticity in plant traits increases time to hydraulic failure under drought in a foundation tree

O_LIThe viability of forest trees, in response to climate change-associated drought, will depend on their capacity to survive through genetic adaptation and phenotypic plasticity in drought tolerance traits. Genotypes with enhanced plasticity for drought tolerance (adaptive plasticity) will have a greater ability to persist and delay the onset of hydraulic failure. C_LIO_LICorymbia calophylla populations from two contrasting climate-origins (warm-dry and cool-wet) were grown under well-watered and chronic soil water deficit treatments in large containers. Hydraulic and allometric traits were measured and then trees were dried-down to critical levels of drought stress. C_LIO_LISignificant plasticity was detected in the warm-dry population in response to water-deficit, with adjustments in drought tolerance traits that resulted in longer dry-down times from stomatal closure to 88% loss of stem hydraulic conductance (time to hydraulic failure, THF). Plasticity was limited in the cool-wet population, indicating a significant genotype-by-environment interaction in THF. C_LIO_LIOur findings contribute information on intraspecific variation in key drought tolerance traits and THF. It highlights the need to quantify adaptive capacity in populations of forest trees facing climate change-type drought to improve predictions of forest die-back. Corymbia calophylla may benefit from assisted gene migration by introducing adaptive warm-dry populations into vulnerable cool-wet population regions. C_LI

physiology↗

Clonality and inbreeding amplifies genetic isolation and mate limitation in a rare montane woody plant (Persoonia hindii; Proteaceae)

Small populations have genetic attributes that make them prone to extinction, including low effective population size (Ne), increased levels of inbreeding, and negative impacts from genetic drift. Some small populations are also clonal with low levels of genetic diversity, restricted seed dispersal, and high levels of genetic structure. Together, these attributes make species with small, isolated, clonal populations unlikely to persist under environmental change. We investigated an endangered woody plant species (Persoonia hindii) in eastern Australia to answer key questions about genetic differentiation, migration rates, population sizes, size of clones, mating system and Ne. We identified 587 single nucleotide polymorphisms. Of the 88 individual stems collected from 15 sites across the entire distribution of P. hindii, we identified 30 multi-locus genotypes (MLG). Additional fine-scale genotyping of two sites (49 and 47 stems) detected a dominant genet within each site occupying a minimum area of 20 m2. Global population differentiation was high (FST 0.22) with very low migration rates (0.048 - 0.064). We identified some population structure with variable site pairwise differentiation (0.015 - 0.32) with no detectable spatial autocorrelation. Species wide inbreeding coefficient was 0.42 (FIT), supporting the direct estimate of 82% selfing. Estimated Ne was extremely small (15), indicating that genetic drift may be reducing genetic diversity and increasing genetic load through fixation of deleterious alleles. Clonality and inbreeding combined with negligible gene flow suggests limited adaptive capacity to respond to climate challenges. Genetic rescue, through assisted gene migration and experimental translocations, would enhance the persistence of natural populations.

evolutionary biology↗

Spatial, climate, and ploidy factors drive genomic diversity and resilience in the widespread grass Themeda triandra

O_LIFragmented grassland ecosystems, and the species that shape them, are under immense pressure. Restoration and management strategies should include genetic diversity and adaptive capacity to improve success but these data are generally unavailable. Therefore, we use the foundational grass, Themeda triandra, to test how spatial, environmental, and ploidy factors shape patterns of genetic variation. C_LIO_LIWe used reduced-representation genome sequencing on 487 samples from 52 locations to answer fundamental questions about how the distribution of genomic diversity and ploidy polymorphism supports adaptation to harsher climates. We explicitly quantified isolation-by-distance (IBD), isolation-by-environment (IBE), and predicted population genomic vulnerability in 2070. C_LIO_LIWe found that a majority (54%) of the genomic variation could be attributed to IBD, while 22% of the genomic variation could be explained by four climate variables showing IBE. Results indicate that heterogeneous patterns of vulnerability across populations are due to genetic variation, multiple climate factors, and ploidy polymorphism, which lessened genomic vulnerability in the most susceptible populations. C_LIO_LIThese results indicate that restoration and management of T. triandra should incorporate knowledge of genomic diversity and ploidy polymorphisms to increase the likelihood of population persistence and restoration success in areas that will become hotter and more arid. C_LI

genomics↗