Biology subjects

Barry, K.

Publications and source records attributed to Barry, K..

At least 19 recordsLinked to original sources

bioRxiv2026

Chromosome-level Atlantic switchgrass assemblies reveal a supernumerary B-Chromosome with transcriptional and evolutionary impacts

Supernumerary B-Chromosomes are extra genetic elements that frequently deviate from Mendelian inheritance to ensure their own survival. Their evolutionary origins and biological impacts within natural plant populations remain largely unexplored. Switchgrass (Panicum virgatum) is a model for studies of local adaptation, but reliance on a single reference genome has limited the detection of lineage-specific genomic content. We generated chromosome-level genome assemblies from the diverged Atlantic switchgrass subpopulation and discovered a previously undetected genomic element: a ~34 Mb supernumerary B-Chromosome, validated by Hi-C contact mapping and long-read depth, which indicates two to four B copies per nucleus. The B-Chromosome has a bipartite architecture including a gene-rich, single-copy proximal region (~8 Mb) and a repeat-rich, gene-poor distal region (~27 Mb) dominated by LTR/Ty3 (Gypsy) elements and punctuated by Mutator TIR peaks. High-resolution mapping reveals a highly rearranged chimera of fragments from multiple autosomes, biased toward the N-subgenome. Intact LTR retrotransposons on the B-Chromosome are younger than those on the A-Chromosomes, especially in its distal region, consistent with a B-Chromosome that arose and expanded within the Atlantic lineage. Population screening and phylogenetic analysis indicate that the B-Chromosome is largely restricted to the Atlantic subpopulation and likely has a single origin. In a typical family, 70% of open-pollinated progeny of B-positive maternal plants were B-positive, with substantial variation among families. Finally, B-Chromosome presence is associated with expression differences in A-Chromosome genes that differ between genetic backgrounds. Together, our results show how accessory chromosomes contribute to the evolutionary and genomic diversity of natural plant populations.

genomics↗

bioRxiv2026

HMGA2 Expression in Pancreatic Ductal Adenocarcinoma Controls Tumor Microenvironment and Immunosuppression via IL1α

The basal-like subtype of pancreatic ductal adenocarcinoma (PDAC) is associated with poor outcomes and increased chemoresistance. Expression of high mobility group AT-hook 2 (HMGA2), a chromatin architectural protein, marks basal PDAC cells and associates with specific features of the tumor microenvironment (TME), including more immunosuppressive cancer associated fibroblasts (CAFs) and fewer cytotoxic CD8+ T cells. Expression of HMGA2 by tumor cells leads to upregulation of the immunosuppressive markers interleukin 6 (IL6) and leucine-rich repeat containing protein 15 (LRRC15) in associated fibroblasts. Mechanistically, HMGA2 in the tumor cell binds the interleukin 1 alpha (IL1) promoter and upregulates transcription, increasing IL1 in the TME, in turn inducing immunosuppressive fibroblast polarization, increasing regulatory T cells, and decreasing CD8+ T cells. Blockade of the IL1 signaling axis disrupts this tumor-driven microenvironment phenotype and combines with inhibitors of oncogenic KRAS to improve tumor control.

cancer biology↗

bioRxiv2026

Paralog diversification masks conserved diel regulatory programs during cold acclimation in Brassica rapa

Plant stress responses occur within daily cycles of physiology, metabolism, and growth, making timing a critical dimension of acclimation. In Arabidopsis, circadian and diel regulation influence responses to abiotic stress, including cold, but how this temporal regulation is conserved, diversified, or expanded in crop genomes remains unclear. This question is especially challenging in Brassica rapa, which underwent a genome triplication after diverging from Arabidopsis, resulting in multiple retained paralogs that can be grouped by Arabidopsis orthology and ancient homeologous relationships. Here, we generated a B. rapa pangenome spanning six morphotypes and used it to profile diel (24 h) cold acclimation responses across diverse accessions differing in freeze tolerances. Cold altered peak expression time for thousands of genes, which we grouped into distinct phase-change groups. Circadian leaf movement assays revealed accession-specific differences in clock period and temperature compensation under cold, suggesting that altered clock behavior may contribute in part to the diel transcriptome retiming. At the individual gene level, inferred gene regulatory networks (GRNs) were highly accession-specific and lost shared connectivity under cold stress. However, grouping these paralogs by their Arabidopsis orthologs revealed a highly conserved regulatory architecture that was otherwise masked by paralog diversification. Integrating these networks with functional pathways identified key candidate regulators of retimed processes, including modules linked to nighttime phosphorylation and daytime photosynthesis. Finally, analyzing conserved noncoding sequences across the pangenome prioritized specific regulatory targets within cold-retimed groups. Together, these results demonstrate that cold acclimation in B. rapa is shaped by a combination of diel retiming, paralog-specific regulation, and deeply conserved programs.

plant biology↗

bioRxiv2026

Plasticity of the mutation rate and spectrum in eukaryotic marine phytoplankton

The ability to adapt shapes the future of any species or population. Adaptive potential is primarily determined by the spontaneous mutation rate {micro} and the mutation spectrum, which define the new genetic variation available to selection. Increasing evidence points to the plasticity of the mutation rate and spectrum, which vary according to environment. However, data is lacking for marine phytoplankton, an essential group for marine ecosystems as well as a major player in biogeochemical cycles. Here, we measure the plasticity of mutation rates and spectra in the chlorophyte Ostreococcus tauri by mutation accumulation experiments in 4 different conditions: low salinity, high salinity, low temperature, and high temperature. {micro}SNM is lowest under low salinity, doubles under high salinity and low temperature and quadruples under high temperature. SNM spectra become increasingly biased towards C:G[->]T:A transitions with increasing {micro}SNM. While {micro}ID does not change with the environment, the structural mutation rate {micro}SM is higher at low temperature, likely due to transposon activity. Given the rapid environmental changes associated with global climate change, mutation rates and spectra plasticity may critically influence the adaptive potential of marine primary producers.

evolutionary biology↗

bioRxiv2026

From tiny to massive: exploring genome evolution in the model 1 grass genus Brachypodium

Brachypodium is a powerful model system for investigating grass genome evolution, yet genomic resources remain concentrated in the three annual species, whereas perennial species are less sampled. Here, we present chromosome-level assemblies for two perennial species, Brachypodium mexicanum and B. arbuscula, which represent the earliest-diverging lineages of the genus and the earliest-diverging lineage of the core perennial clade, respectively. Synteny-based phylogenomics indicate that B. mexicanum is a meso-allotetraploid composed of two closely related but temporally distinct x=10 subgenomes, here designed as P and U, each carrying subgenome-specific chromosome rearrangements. We further show that the unusually large B. mexicanum genome, in contrast to the reduced genomes of most other Brachypodium species, is primarily due to transposable elements distributed across all chromosomal regions. By contrast, the diploid genome of the earliest-diverging core perennial, B. arbuscula, contains few transposable elements, whereas the most recent diverged diploid perennial B. sylvaticum shows evidence of a secondary TEs proliferation. Comparisons of lineage-specific and functionally enriched orthogroups among B. mexicanum, core perennial species and annual species suggest that ancestral hybridization between annual and perennial lineages may have contributed to the origin of allotetraploid B. mexicanum. These assemblies provide a framework for testing how polyploidy, descending dysploidy, transposable-element turnover, and life-history evolution jointly shaped genome architecture in Brachypodium.

evolutionary biology↗

bioRxiv2026

Spliceosome loss in the red tide ciliate Mesodinium rubrum presents a symbiotic cul-de-sac

Mesodinium rubrum, a marine microbial eukaryote associated with some of the largest red tides on Earth, has the remarkable ability to commandeer the plastids, mitochondria and nuclei from the alga Teleaulax amphioxeia for photosynthesis. Here we report analyses of assemblies of M. rubrums two nuclear genomes. Unexpectedly, M. rubrum appears to have completely lost its spliceosomal introns, most spliceosomal molecules, and the key genes for an intron splicing-associated process, Nonsense-mediated mRNA Decay (NMD). In contrast, non-spliceosomal tRNA introns have been retained, as have thousands of intron analogs spliced out of DNA during ciliate somatic genome development (internal eliminated sequences - IESs). Intron-containing genes, especially from intron-rich species like T. amphioxeia, would likely be defunct if horizontally transferred to a host without a spliceosome like M. rubrum, and thus we propose that introns can be a roadblock to progressive endosymbiotic genomic integration.

genomics↗

bioRxiv2026

Comparative genomics reveals shared accessory regions between members of two Fusarium species complexes virulent on garden pea

The contribution of accessory or conditionally dispensable chromosomes to host-specific virulence was first demonstrated in members of the Fusarium solani species complex (FSSC) that are pathogens of garden pea, Pisum sativum L. The phenomenon has since been shown to exist in many fungal plant pathogens, including the closely related F. oxysporum species complex (FOSC). Genome analysis of members of the FSSC and FOSC pathogenic on pea revealed a diverse size range of the accessory genome of these fungi. Despite the [~]65 million years of diverging time, regions on a chromosome known to carry host-specific virulence factors for pea, including the cytochrome P450 pisatin demethylase (PDA) and other pea pathogenicity (PEP) genes, were present in all genomes of these pea pathogens. Genes directly involved in virulence on pea - PEP2, PDA, and PEP5- were the most frequently clustered together. Transcriptome analysis of fungal mycelia treated with the pea phytoalexin pisatin, identified 1,155 differentially expressed genes where many were involved in cellular stress responses. As wilt pathogens that invade host xylem, members of the FOSC encode more putative effectors, when compared to those in the FSSC, and several FOSC effectors were identified to confer race specificity. The conservation of part of the accessory genomes across two evolutionarily diverged species complexes suggests a common origin. Horizontal transfer of accessory chromosomes containing genetic loci involved in pathogenesis for garden pea offers a parsimonious explanation of the polyphyletic origin of host specificity.

genomics↗

bioRxiv2026

Prediction of Lignocellulose Degradation Potential of Wood Decay Fungi using Comparative Genomic Analysis

The Agaricomycotina accounts for roughly a third of all described fungi. They are important due to their wide range of lifestyles and economic and environmental relevance. Certain agaricomycetes act as lignocellulose degraders, playing a significant role in forest ecosystems and bioremediation processes. These wood-decaying fungi have historically been classified as mostly white- or brown-rot based on their ability to degrade lignin, with white-rot fungi possessing a collection of lignocellulose-degrading enzymes, which are reduced or absent in brown-rot fungi. Here, we sequenced and annotated the genome of the agaricomycete Crepidotus cesatii CBS 511.95 and explored its genome and predicted enzymatic content in a comparative context. The 36.04 Mbp genome is in 235 scaffolds, with 3.34% repeat content and 12,891 predicted genes. We found that the PFAM distributions of identified orthogroups suggested that C. cesatii shows patterns more similar to white-rot fungi compared to brown-rot fungi. Additionally, C. cesatii contained multiple copies of CAZymes CBM1 and AA9 involved in hydrolysis of lignocellulose, similar to white-rot fungi. On the other hand, according to the Conserved Unique Peptide Patterns (CUPP) data for AA2 peroxidases, the key enzymes in lignin degradation, C. cesatii is more similar to brown-rot fungi. Based on our analyses we predict that C. cesatii is another representation of the continuum of wood decaying modes between white and brown rot fungi combining genetic features of both types of fungi.

genetics↗

bioRxiv2026

Structural Basis for Dimeric Genome Selection by HIV-1

HIV-1 packages a dimeric RNA genome into assembling virions, a requirement for replication. To understand the mechanism of dimer selection, we conducted cryogenic electron microscopy (cryoEM) studies of nascent assemblies formed between HIV-1 Gag protein constructs and genomic RNA elements that promote dimerization and packaging. CryoEM maps revealed structural architectures in which the helical dimer initiation signal (DIS) of the RNA packaging signal bridges two 6-helix bundles (6HBs) that protrude from adjacent Gag hexamers. Conserved guanosines that sandwich the DIS are located beneath the 6HBs and poised to interact with clusters of nucleocapsid domains. Mutation of these guanosines severely impairs RNA packaging into virus-like particles. Our findings suggest that DIS functions as a molecular ruler, organizing Gag hexamers into structures optimized for Gag lattice expansion.

molecular biology↗

bioRxiv2026

Uncovering genetic mechanisms underlying trait variation in switchgrass using explainable artificial intelligence

Uncovering the genetic architecture of quantitative traits is challenging because polygenic control yields small individual gene effects and because gene-gene and genotype-by-environment interactions add further complexity. To understand the genetic basis of polygenic traits and their plasticity across environments, we integrated genome-wide SNPs and RNA-seq transcript data with interpretable statistical and machine learning models in a switchgrass (Panicum virgatum) diversity panel grown at contrasting field sites in Michigan and Texas. Notably, in addition to single environments, our trait prediction models were able to predict phenotypic differences, across environments i.e., plasticity. By interpreting trait prediction models with explainable machine learning methods, we identified genes that are the most predictive of flowering time and annual biomass production across environments, based on their associated gene expression levels and nearby SNPs. This approach recovered canonical flowering regulators and revealed novel, environment-specific candidate flowering genes. Further, transcriptome models consistently recovered more switchgrass genes homologous to experimentally validated genes in Arabidopsis and rice than SNP-based models. Feature interaction scores from the models also allow the identification of trait and environment-dependent gene-gene interactions, where flowering time showed stronger and more abundant interactions than biomass. While some of the interactions identified are consistent with the link between flowering time and yield, most are novel predictors that need to be further evaluated. These findings provide insight into the genetic basis of trait variation and plasticity across environments and help prioritize candidate genes for functional validation and cultivar improvement.

genetics↗

bioRxiv2026

Leveraging whole-genome re-sequencing for diversity, population structure, and a public mid-density genotyping enrichment panel in crimson clover (Trifolium incarnatum L.) for breeding purposes

AO_SCPLOWBSTRACTC_SCPLOWCrimson clover (Trifolium incarnatum L.) is an obligately outcrossing, cool-season annual legume valued for forage and cover cropping, yet genomic resources to support systematic improvement are limited. We performed the first and most comprehensive whole-genome resequencing (WGR) of global crimson clover germplasm to (i) characterize diversity and population structure and (ii) develop a public mid-density enrichment capture panel for breeding applications. A core set of 45 accessions sequenced at [~]50X generated 5.84 million variants, while 149 additional accessions sequenced at [~]2.54X yielded 17.05 million variants. After stringent filtering, we retained 542,790 high-confidence SNPs from the high-coverage dataset and [~]2.4 million from the low-pass cohort. Population analyses (PCA, ADMIXTURE) revealed compact clustering of cultivars, broader dispersion of wild and uncertain-status accessions, and low overall differentiation (FST = 0.0105) with excess heterozygosity (FIS = -0.0592), consistent with obligate outcrossing. Guided by these resources, we designed a 28,913-SNP TWIST hybrid-capture panel enriched for genic regions and evenly distributed across seven chromosomes. This panel is being deployed within Auburn Universitys crimson clover breeding program to support population improvement and cultivar development. The resulting genomic resources provide a reproducible, mid-density genotyping platform for trait discovery, predictive breeding, and diversity monitoring. Together, these advances bring crimson clover genomic resources on par with other legumes such as soybean (Glycine max (L.) Merr.) and alfalfa (Medicago sativa), establishing a robust foundation for genomics-assisted improvement of this key cover and forage crop in U.S. sustainable agriculture. CORE IDEASO_LIWhole-genome re-sequencing of 194 crimson clover accessions revealed >21 M variants. C_LIO_LIHigh-confidence SNP catalogs from 50X and 2X data enable cost-effective genotyping. C_LIO_LIGenetic diversity is weakly structured, with cultivars clustering narrowly by origin. C_LIO_LIA 28,913 SNP enrichment panel delivers uniform genome coverage and >75% genic content. C_LIO_LIThese genomic tools accelerate GWAS, genomic selection, and breeding innovation. C_LI

genomics↗

bioRxiv2026

Ancient eukaryotic immunity through genome editing of viral sequences

Mutations provide the raw material for evolution, but mutation rates are not uniform across genomes. Using a mutation accumulation experiment in the marine phytoplankton Bigelowiella natans, we discovered extreme local variation in mutation rate: over 1000-fold differences across its nuclear genome. While the baseline single-nucleotide mutation rate is approximately 3.5x10-10 per site per generation, a common value for unicellular species, two genomic regions derived from integrated viruses exhibit strikingly elevated rates of about 6x10-7. These two regions show a distinctive mutational signature with almost exclusively T/A[->]C/G transitions, a pattern also found in other non-eukaryote derived sequences in B. natans, contrary to the usual GC to AT mutation bias. Notably, hypermutation occurs only on TpA dinucleotides, and only in a subset of experimental lines, suggesting a regulated process rather than random genomic instability. We propose that B. natans targets invading DNA through localized hypermutation, reminiscent of deamination-based antiviral defense systems in animals, prompting the idea of genome editing as a conserved immune system in eukaryotes. Significance StatementDe novo mutations provide the raw material for adaptation, but at high frequencies they can compromise genome integrity. Here, we describe a hypermutable process targeting two integrated viral genomes in a chlorarachniophyte alga, resulting in a mutation rate 1000 times higher than in other regions and a very particular mutation spectrum. These observations are reminiscent of hypermutation-based antiviral defenses described in humans against HIV and influenza; whereby host-mediated deamination of the viral genome increases its mutation rate such that the virus loses its infectivity.

genomics↗

bioRxiv2025

Structure and sequence evolution in the pennycress (Thlaspi arvense) pangenome

O_LIEukaryotic genomes harbor many forms of variation, including nucleotide diversity and structural polymorphisms, which experience natural selection and contribute to genome evolution and biodiversity. However, harnessing this variation for agriculture hinges on our ability to detect, quantify, catalog, and utilize genetic diversity. C_LIO_LIHere, we explore seven complete genomes of the emerging biofuel crop pennycress (Thlaspi arvense) drawn from across the speciess current genetic diversity to catalogue variation in genome structure and content. C_LIO_LIAcross this new pangenome resource, we find contrasting evolutionary modes in different genomic regions. Gene-poor, repeat-rich pericentromeric regions experience frequent rearrangements, including repeated centromere repositioning. In contrast, conserved gene-dense chromosome arms maintain large-scale synteny across accessions, even in fast-evolving immune genes where microsynteny breaks down across species but the macrosynteny of gene cluster positioning is maintained. C_LIO_LIOur findings highlight that multiple elements of the genome experience dynamic evolution that conserves functional content on the chromosome scale but allows rearrangement and presence-absence variation on a local scale. This diversity is invisible to classical reference-based approaches and highlights the strength and utility of pangenomic resources. These results provide a valuable case study of rapid genomic structural evolution within a species and powerful resources for crop development in an emerging biofuel crop. C_LI

genomics↗

bioRxiv2025

Ciprofloxacin resistance in Klebsiella pneumoniae: phenotype prediction from genotype and global distribution of resistance determinants

BACKGROUNDCiprofloxacin resistant Klebsiella pneumoniae is common or emerging in many geographies, and knowledge of local resistance rates is important for empirical therapy. Whilst there are known K. pneumoniae ciprofloxacin resistance determinants, there is a lack of systematic data on the effect of determinants, alone and in combination, and there are no publicly accessible tools for predicting resistance from whole genome sequence data. METHODSThe KlebNET-GSP AMR Genotype-Phenotype Group aggregated a matched genotype-phenotype dataset of n=12,167 K. pneumoniae species complex (KpSC) isolates from 27 countries between 2001-2021. We developed a rules-based classifier to predict ciprofloxacin resistance by categorizing the number of quinolone resistance determining regions mutations in gyrA and parC, the number of plasmid-mediated quinolone resistance genes, and the presence/absence of aac(6')-Ib-cr (which can acetylate ciprofloxacin). Predictive performance was assessed using the discovery dataset, for which we re-phenotyped discrepant isolates; and validated using externally contributed datasets (n=7,030 KpSC isolates). RESULTSThe rules-based classifier predicted R vs S/I with categorical agreement, sensitivity, and specificity >96%, and major/very major error rates <4%. Performance was similar across diverse KpSC sources (human, animal, other), species, and intra-species lineages. External validation of the classifier yielded overall 93.12% categorical agreement [95% confidence interval (CI), 92.50-93.74%], 8.65% major errors [95% CI, 7.34-9.97%], and 6.20% very major errors [95% CI, 5.51-6.90%]. We implemented the classifier in Kleborate, a command-line tool that is integrated into the Pathogenwatch web platform. Using this to assess the global distribution of ciprofloxacin resistance determinants in KpSC genomes available in Pathogenwatch (n=31,319, from 109 countries between years 2000-2023), we observed a significant positive association between national quinolone consumption rates and predicted ciprofloxacin resistance (R2=0.20, p=0.004). CONCLUSIONS Ciprofloxacin resistance phenotypes can be reasonably predicted from genotypes, which is sufficient for informing surveillance. However, unexplained resistance remains and accuracy is insufficient for clinical applications. We demonstrate the value of aggregating genotype-phenotype data to explore resistance mechanisms and develop predictors, but highlight complexities in combining phenotype data from different assays and standards.

genomics↗

bioRxiv2025

Engineering anaerobic fungal-bacterial consortia for medium-chain fatty acid production from lignocellulosic biomass

Lignocellulosic biomass is a renewable feedstock for sustainable fuels and chemicals, yet industrial conversion remains constrained by carbohydrate solubilization. Inspired by herbivore rumen microbiomes, we engineered an anaerobic fungal-bacterial consortium converting native lignocellulose into medium-chain fatty acids (MCFAs) without pretreatment. Systematic screening identified a newly isolated anaerobic fungus, Neocallimastix sp. FC1, in co-culture with Megasphaera hexanoica as a top-performing pair, achieving a lignocellulose-to-MCFA yield of 21.0 % (carbon-to-carbon basis) through tight lactate cross-feeding without competition for soluble sugars. Because fungal lactate production rate constrained the growth of M. hexanoica, the bacterium reallocated protein from growth toward chain elongation, resulting in increased MCFAs production over butyrate. These results demonstrate that high lignocellulose-to-MCFA conversion by the consortium requires high lactate-producing capability and operating regimes sustaining low lactate concentrations at high flux. Technoeconomic analysis further identifies the cost and yield thresholds required for economically viable deployment, establishing quantitative design targets for pretreatment-free fungal-bacterial lignocellulose upgrading.

bioengineering↗

bioRxiv2025

Developing future resilience from signatures of adaptation across the sorghum pangenome

While the green revolution adapted a handful of crops to homogenous and high-input industrialized agriculture, much of the global population still relies on local food production from low-input smallholder farms that grow highly variable crop cultivars. The high diversity of the grain and bioenergy crop sorghum 1-4, and many other crops that were not homogenized during the green revolution 5, not only provides the raw materials for breeders to make substantial gains in cultivar improvement, but also constrains breeding efforts due to highly specialized locally adapted plant phenotypes 6. Here, we construct a 33-member pangenome and identify trait-associated variants in 1,988 cultivars and landraces. We then apply these resources to explore the complex interplay between historical contingency, ongoing adaptation, and the potential for future gains through climate-aware genome-enabled breeding. Specifically, our analyses conclusively demonstrate that multiple nested, deeply diverged, and previously uncharacterized structural variants in the domestication gene SHATTERING1 distinguish the previously established multicentric origin of sorghum. We then apply landscape genomics tests to reveal how gene flow, adaptation, and secondary contact created the complex genetic mosaic in current global breeding networks. Further analysis of climate-gene associations highlights candidate loci underlying adaptation, including the biosynthetic gene cluster for the cyanogenic glucoside dhurrin. Combined, the pangenome-informed variants developed here will enable both trait discovery and subsequent marker assays to accelerate breeding and provide a framework for similar applications in other diverse and non-model crops.

genomics↗

bioRxiv2025

Telomere-to-telomere assemblies reveal complex adaptive variation of 3-ketoacyl-CoA-synthases in Populus trichocarpa likely driven by helitrons

BackgroundThe model woody plant Populus trichocarpa displays an atypical alkene-diverse wax cuticle likely driven by copy number variation (CNV) of 3-ketoacyl-CoA synthases (KCS), which has been difficult to confirm based on short-read assemblies. New long-read sequencing provides opportunities to develop telomere-to-telomere resources to detect cryptic variation, including CNVs, which are currently missed in traditional analyses. Integrating this information can improve genomic prediction for breeding and provide insights into the evolutionary basis of important traits. ResultsOur analysis of 78 telomere-to-telomere long-read haplotypes identified more than twice as many KCS genes as previously reported, along with numerous intragenic non-synonymous substitutions. Random forest predictive models highlighted the importance of Potri.010G079500 in producing very long chain alkenes; however, its absence did not predict previously reported alkene-deficient phenotypes. Instead, alkene levels are best predicted by the combinations of KCS copies. Amino acid substitutions clustered around ligand and donor binding pockets, suggesting they contribute to differing wax cuticle composition. Finally, each KCS gene and copy was linked to a helitron transposon. A phylogenetic analysis indicates they are the evolutionary mechanism for generating KCS tandem arrays. ConclusionsLong-read sequencing and telomere-to-telomere assembles revealed large-effect loci critical to genetic studies that are unattainable from short-reads. These approaches also have the potential to reveal novel insights into genome structure and function, such as the helitrons identified here. Our results highlight that, given current challenges in annotation and assembly, detailed and focused long-read sequences are key to interpreting complex genomic regions that contain tandem copy number variants.

genomics↗

bioRxiv2025

The architecture of resilience: a genome assembly of Myrothamnus flabellifolia sheds light on desiccation tolerance and sex determination

Myrothamnus flabellifolia is a dioecious resurrection plant endemic to southern Africa that has become an important model for desiccation tolerance. Here, we present a chromosome-level, haplotype-resolved reference genome for M. flabellifolia alongside transcriptomic profiling across a natural dehydration-rehydration cycle. The 1.28 Gb genome exhibits unusually consistent chromatin architecture with putative holocentric chromosome organization across highly divergent haplotypes. We identified an XY sexual system with a small sex-determining region on chromosome 8. Transcriptomic changes during dehydration varied with the severity of water loss and pointed to early suppression of growth, progressive activation of protective mechanisms, and reversible changes in transcript abundance upon rehydration. Co-expression networks and targeted gene family analyses revealed dynamic regulation of LEA and ELIP genes, with evidence of transcriptome "priming" in hydrated plants, with transcript abundance shifting toward highly disordered proteins during desiccation. Enrichment of ABA and light-responsive cis-regulatory elements in key genes support the existence of conserved stress response pathways. M. flabellifolias rich profile of phenolics and antioxidant genes highlight the overlap between desiccation tolerance and medicinal potential. Together, this study provides foundational resources for understanding the genomic architecture and reproductive biology of M. flabellifolia while offering new insights into the mechanisms of desiccation tolerance.

plant biology↗