Biology subjects

Curran, E.

Publications and source records attributed to Curran, E..

3 recordsLinked to original sources

bioRxiv2025

European ash pangenome reveals widespread structural variation and a diverse genetic basis for low ash dieback susceptibility

European Ash (Fraxinus excelsior) is a keystone forest tree species, whose populations are being decimated by ash dieback disease (ADB). Uncovering the genetic basis of low susceptibility to this devastating disease relies on a comprehensive understanding of genetic variation present in F. excelsior. A linear reference genome from a single individual cannot contain the total sequence variability within a species, including its genic regions; a pangenome more fully captures total sequence content. In this study, we developed a F. excelsior pangenome reference using a new chromosomal-level phased linear reference genome, and de novo assemblies and long-read data from a geographically diverse set of fifty F. excelsior samples, with particular focus on individuals showing low ADB susceptibility. We identified 362,965 structural variants (SVs) present in more than three individuals, including 174Mb of sequence absent from the linear reference genome (22% of the linear reference size). We demonstrated that failing to explicitly link SVs with gene sequences can lead to substantial overestimation of dispensable genes (those that vary in their presence/absence between individuals) due to variability in the annotation process. Controlling for this reduced the fraction of the genome estimated as dispensable from 35.9% to 8.7%, identifying 3,412 high-confidence dispensable genes, including 141 annotated with gene ontology terms associated with defence response. We used the pangenome to analyse existing genomic data from over 1,200 individuals to identify loci associated with reduced susceptibility to ADB. This revealed 220 single nucleotide polymorphisms (SNPs) showing allele frequency shifts between healthy and highly damaged pools of individuals that are broadly consistent across the mainly UK seed sources sampled, explicitly demonstrating the existence of a shared genetic component to low ADB susceptibility.

genomics↗

bioRxiv2025

Whole-genome duplication increases genetic diversity and load in outcrossing Arabidopsis

Genetic variation underpins evolutionary change, but accumulation of slightly deleterious mutations also increases mutation load. There are multiple factors affecting the extent of load such as population size and breeding system, yet other potential determinants remain unexplored. A common macromutation, whole-genome duplication (WGD) occurs broadly across Eukaryotes, yet we lack a clear understanding of how WGD impacts neutral and selective processes within a population. Using forward simulations and empirical analysis of 632 short- and 16 long-read sequenced individuals of Arabidopsis arenosa (23 diploid and 42 natural autotetraploid populations), we test for the effects of WGD on genome-wide diversity and mutation load. Our simulations show how genetic variation gradually rises in autotetraploids due to increase of mutational target size. Moreover, mutation load increases due to relaxed purifying selection when deleterious mutations are masked by additional chromosome copies. Empirical data confirm these patterns, showing significant increase in nucleotide diversity, ratios of non-synonymous to synonymous SNPs, and number of indels and large structural variants in A. arenosa autotetraploids. However, a rather modest increase in load proxies together with a broad distribution and niche of autotetraploids suggests load accumulation has not (yet) limited their successful expansion. Overall, we demonstrate a complex interplay between neutral processes and purifying selection in shaping genetic variation following WGD and highlight ploidy as an important determinant of genetic diversity and mutation load in natural populations.

evolutionary biology↗

bioRxiv2024

Local cryptic diversity in salinity adaptation mechanisms in a wild outcrossing Brassica

It is generally assumed that populations of the same species should evolve shared mechanisms of adaptation to common stressors due to evolutionary constraint. Here, we describe a novel system of within-species local adaptation to coastal habitats, Brassica fruticulosa, and detail surprising mechanistic variability in adaptive responses to extreme salinity. These radically different adaptive responses in neighbouring populations are evidenced by transcriptomes, diverse physiological outputs, and completely distinct genomic selective landscapes. In response to high salinity Northern Catalonian populations restrict root-to-shoot Na+ transport, favouring K+ uptake. Contrastingly, Central Catalonian populations accumulate Na+ in leaves and compensate for the osmotic imbalance with compatible solutes such as proline and elevated Ca2+. Despite contrasting responses, both metapopulations were salinity tolerant relative to all inland accessions. To characterise the genomic basis of these two divergent adaptive strategies in an otherwise non-saline-tolerant endemic, we generate a long-read-based genome and population sequencing of 18 populations (9 inland, 9 coastal) across the B. fruticulosa species range. Results of genomic and transcriptomic approaches confirm the physiological observations of completely distinct underlying mechanisms of adaptation to extreme salinity and reveal potential genetic targets of these two recently evolved salinity adaptations. We therefore provide a new model of within-species salinity adaptation and reveal cryptic variation in neighbouring plant populations in the mechanisms of adaptation to an important natural stressor highly relevant to agriculture. SignificanceIts usually expected that closely related populations of a given species should adapt to the same environmental stressor in the same way due to genetic or physiological constraints. However, this is not commonly tested due to practical constraints. Here we show that, even at the level of neighbouring populations, contrasting adaptive mechanisms control adaptive responses to extreme coastal salinity in a new plant model, Brassica fruticulosa, a close wild relative of many crops of worldwide importance. This indicates multiple options for engineering an agriculturally crucial adaptation: soil salinization. These results will be of great interest to not only those studying fundamental mechanisms of adaptation, but also resilience improvement in Brassica species.

evolutionary biology↗