Biology subjects

Kianian, S.

Publications and source records attributed to Kianian, S..

9 recordsLinked to original sources

bioRxiv2026

AgroGem: A Rapid and Scalable Transient Transformation System for Functional Genetics in Multiple Plant Species

Plant genetic transformation technologies are essential for functional genomics and genome engineering in plants. While transient expression systems offer a rapid alternative to stable transformation, existing platforms are often constrained by low efficiency, technical complexity, and limited scalability. Here, we developed AgroGem, an efficient Agrobacterium-mediated transient transformation system utilizing a geminiviral replicon-based T-DNA vector for Arabidopsis and Brassicaceae species. AgroGem significantly outperformed existing transient approaches, including AGROBEST and protoplast-based assays, in CRISPR-mediated editing efficiency. Moreover, AgroGem recapitulated the mutation spectra and chromatin accessibility-dependent editing patterns observed in stable transformation across both Cas9 and Cas12a systems, indicating that it captures genome editing outcomes in native chromatin contexts. Leveraging this capability, we performed high-resolution profiling of CRISPR-induced mutation outcomes across a panel of DNA repair mutants and identified distinct repair signatures, including unexpected roles for KU80 and XRCC4 in regulating non-homologous end joining (NHEJ). AgroGem also supported bimolecular fluorescence complementation assays for protein-protein interaction studies in Arabidopsis and was readily adapted to plate-based formats for high-throughput applications. Together, these results establish AgroGem as a robust, scalable, and versatile platform for genome editing, DNA repair analysis, and functional genetics in plants.

plant biology↗

bioRxiv2026

The Euler Characteristic Transform Enables Classification of Complex Plant Shapes and Prediction of Leaf Venation from Blade Geometry

(1) RationaleQuantifying and predicting plant morphology is central to understanding development and evolution, yet many plant forms lack homologous features required for traditional morphometrics. We apply the Euler Characteristic Transform (ECT), an injective descriptor from topological data analysis, to encode 2D plant shapes. The ECT converts contours into image-like representations that preserve shape information while enabling deep learning. (2) MethodsWe computed ECTs for large datasets of leaf and pavement cell shapes and used convolutional neural networks (CNNs) for classification. We also trained CNNs to approximate the inverse mapping, predicting leaf shape masks from radial ECTs. (3) Key resultsECT-based models achieved high classification accuracy, surpassing previous approaches on millions of herbarium-derived leaves. Notably, grapevine leaf venation was predicted from blade geometry alone, demonstrating that vascular structure is encoded in the outline. (4) Main conclusionThe ECT provides a compact, information-preserving representation of biological shape that integrates naturally with deep learning. It enables both accurate classification and predictive reconstruction, revealing latent morphological information and offering new opportunities to study plant form across scales.

plant biology↗

bioRxiv2026

A Tissue Culture Free Genome Editing Strategy in Plants Using Broad-Host-Range Viral Vectors Derived from Geminiviruses

The use of viral vectors offers a promising alternative to traditional transformation methods for creating gene-edited plants. In this study, we developed a novel plant genome editing system by delivering Cas9, Cas12f, and Cas12j nucleases along with their guide RNAs using a broad-host-range geminivirus, Wheat dwarf India virus (WDIV), in combination with Ageratum yellow leaf curl betasatellite (AYLCB). Cas9, Cas12f, and Cas12j nucleases were efficiently expressed along with corresponding guide RNAs under viral promoters. By leveraging tRNA spacers in place of external promoters and terminators, we significantly reduced the overall cargo size, streamlining vector design. Additionally, we compared the traditional AtU6-driven gRNA delivery with a novel spacer:gRNA:spacer format in Cas9-expressing lines and observed comparable editing efficiencies. The broad host range of WDIV and AYLCB, combined with this tissue culture-free genome editing platform, opens up possibilities for editing across a wide range of plant species.

plant biology↗

bioRxiv2026

Mapping Pc94-Mediated Crown Rust Resistance in Oat Reveals a zfBED NLR and Introgression Variation

Host resistance is a critical component of oat crown rust disease management. Pc94 is a qualitative resistance locus derived from diploid Avena strigosa with several independent introgressions into A. sativa that have been used in cultivar deployment. Quantitative trait locus (QTL) analysis combining previously published data for a historic A. strigosa population segregating for Pc94 revealed a large effect QTL on the distal end of A. strigosa chromosome 7A. Genome assembly of the parents identified a cluster of five nucleotide binding site leucine-rich repeat receptor (NLR) candidate genes within the QTL region. A single candidate NLR with an integrated zinc finger BED domain, AstNLR94, was determined as necessary for Pc94 resistance based on map-based cloning and forward mutagenesis. A presence/absence allele specific PCR marker was designed in AstNLR94 and verified for accuracy and specificity in a diverse panel of A. strigosa and A. sativa. Pc94 introgressions in A. sativa ranged in size from 1.7-71 Mbp and two different introgression locations appear to have occurred. In A. sativa Leggett, a 6.3 Mbp Pc94 introgression is located at the end of chromosome 2A, and the same sized introgression was discovered in the OT3098 v2 genome. Finally, a QTL analysis identified an additional minor resistance locus on A. strigosa chromosome 4A, which has complicated previous efforts to characterize the Pc94 locus. This is the first report of an NLR gene underlying disease resistance in Avena spp. and delivers a Pc94 marker for marker assisted selection to produce disease resistant cultivars. Key messageWe mapped a zfBED-NLR encoding gene necessary for Pc94 resistance, developed a diagnostic marker, and revealed diverse introgression sizes, clarifying Pc94s history and utility for durable oat crown rust resistance.

plant biology↗

bioRxiv2023

Genotypic and resistance profile analysis of two oat crown rust differential sets urge coordination and standardisation

Puccinia coronata f. sp. avenae (Pca) is the causal agent of the disease known as crown rust which represents a bottleneck in oat production worldwide. Characterisation of pathogen populations often involves race (pathotype) assignments using differential sets, which are not uniform across countries. This study compared virulence profiles of 25 Pca isolates from Australia using two host differential sets, one from Australia and one from the USA. These differential sets were also genotyped using DArT sequencing technology. Phenotypic and genotypic discrepancies were detected on eight out of 29 common lines between the two sets, indicating that pathogen race assignments based on those lines are not comparable. To further investigate molecular markers that could assist in the stacking of rust resistance genes important for Australia, four published Pc91-linked markers were validated across the differential sets and then screened across a collection of 150 oat cultivars. Drover, Aladdin, and Volta were identified as putative carriers of the Pc91 locus. This is the first report to confirm that the cultivar Volta carries Pc91 and demonstrates the value of implementing molecular markers to characterise materials in breeding pools of oat. Overall, our findings highlight the necessity of examining seed stocks using pedigree and molecular markers to ensure seed uniformity and bring robustness to surveillance methodologies.

plant biology↗

bioRxiv2023

Sequencing 4.3 million mutations in wheat promoters to understand and modify gene expression

Wheat is an important contributor to global food security, and further improvements are required to feed a growing human population. New functional genetics and genomics tools can help us to understand the function of different genes and to engineer beneficial changes. In this study, we used a promoter capture assay to sequence 2-kb regions upstream of all high-confidence annotated genes from 1,513 mutagenized plants from the tetraploid wheat variety Kronos. We identified 4.3 million induced mutations with an accuracy of 99.8%, resulting in a mutation density of 41.9 mutations per kb. We also remapped Kronos exome capture reads to Chinese Spring RefSeq v1.1, identified 4.7 million mutations, and predicted their effects on annotated genes. Using these predictions, we identified 59% more non-synonymous substitutions and 49% more truncation mutations than in the original study. To show the biological value of the new promoter dataset, we selected two mutations within the promoter of the VRN-A1 vernalization gene. Both mutations, located within transcription factor binding sites, significantly altered VRN-A1 expression, and one reduced the number of spikelets per spike. These publicly available sequenced mutant datasets provide rapid and inexpensive access to induced variation in the promoters and coding regions of most wheat genes. These mutations can be used to understand and modulate gene expression and phenotypes for both basic and commercial applications, where limited governmental regulations can facilitate deployment. These mutant collections, together with gene editing, provide valuable tools to accelerate functional genetic studies in this economically important crop. Significance StatementWe sequenced 4.3 million induced mutations in the promoters and 4.7 million in the coding regions of most wheat genes. We also show how this public resource can be used to understand gene function, modulate gene expression, and generate changes in valuable wheat agronomic traits.

genomics↗

bioRxiv2022

Crossing-over decision landscape in maize

In most crops, including maize, meiotic double-strand breaks (DSBs) occur in all chromosome regions but crossovers (COs) are predominantly near chromosome ends. To understand how the uniform DSB distribution changes into the U-shaped CO distribution, we generated high-resolution maps of CO intermediates. We found that DSBs with medium resection spans more often result in COs than those with shorter or longer resections. We also discovered that sites of CO intermediates associated with MLH3 in zygotene are uniformly distributed along chromosomes, resembling DSB distribution. However, in late prophase, they show the U-shaped distribution characteristic of COs. While zygotene MLH3 sites exhibit methylation levels similar to the genome average, late prophase sites have reduced DNA methylation. In contrast to DNA methylation, inter-parental DNA sequence polymorphism has limited effect on CO distribution. These data indicate that the final CO landscape shape in maize is established late during recombination and controlled by chromatin state.

plant biology↗

bioRxiv2022

A chromosome-level, fully phased genome assembly of the oat crown rust fungus Puccinia coronata f. sp. avenae: a resource to enable comparative genomics in the cereal rusts

Advances in sequencing technologies as well as development of algorithms and workflows have made it possible to generate fully phased genome references for organisms with non-haploid genomes such as dikaryotic rust fungi. To enable discovery of pathogen effectors and further our understanding of virulence evolution, we generated a chromosome-scale assembly for each of the two nuclear genomes of the oat crown rust pathogen, Puccinia coronata f. sp. avenae (Pca). This resource complements two previous released partially phased genome references of Pca, which display virulence traits absent in the isolate of historic race 203 (isolate Pca203) which was selected for this genome project. A fully phased, chromosome-level reference for Pca203 was generated using PacBio reads and Hi-C data and a recently developed pipeline named NuclearPhaser for phase assignment of contigs and phase switch correction. With 18 chromosomes in each haplotype and a total size of 208.10 Mbp, Pca203 has the same number of chromosomes as other cereal rust fungi such as Puccinia graminis f. sp. tritici and Puccinia triticina, the causal agents of wheat stem rust and wheat leaf rust, respectively. The Pca203 reference marks the third fully-phased chromosome-level assembly of a cereal rust to date. Here, we demonstrate that the chromosomes of these three Puccinia species are syntenous and that chromosomal size variations are primarily due to differences in repeat element content.

genomics↗

bioRxiv2018

Detection of race-specific resistance against Puccinia coronata f. sp. avenae in Brachypodium species

Oat crown rust caused by Puccinia coronata f. sp. avenae is the most destructive foliar disease of cultivated oat. Characterization of genetic factors controlling resistance responses to Puccinia coronata f. sp. avenae in non-host species could provide new resources for developing disease protection strategies in oat. We examined symptom development and fungal colonization levels of a collection of Brachypodium distachyon and B. hybridum accessions infected with three North American P. coronata f. sp. avenae isolates. Our results demonstrated that colonization phenotypes are dependent on both host and pathogen genotypes, indicating a role for race-specific responses in these interactions. These responses were independent of the accumulation of reactive oxygen species. Expression analysis of several defense-related genes suggested that salicylic acid and ethylene-mediated signaling, but not jasmonic acid are components of resistance reaction to P. coronata f. sp. avenae. Our findings provide the basis to conduct a genetic inheritance study to examine if effector-triggered immunity contributes to non-host resistance to P. coronata f. sp. avenae in Brachypodium species.

pathology↗