Biology subjects

Soyk, S.

Publications and source records attributed to Soyk, S..

9 recordsLinked to original sources

bioRxiv2026

Cryptic variation alters gene dosage sensitivity to shape inflorescence architecture in tomato

Phenotypic diversity arises in large part from genetic variants at multiple interacting loci, many of which alter gene dosage rather than abolish gene function. Dosage-sensitive variants, which often produce nonlinear phenotypic outcomes, can be exploited to fine-tune quantitative traits for crop improvement using genome editing. However, the phenotypic outcomes of individual variants can differ substantially across genetic backgrounds, as segregating alleles may modulate allelic effects in unexpected ways. Yet, how genetic background shapes gene dosage effects remains underexplored. Here, we show that MADS-box gene dosage effects, which can be used to tune tomato inflorescence architecture for optimal fruit yield, differ profoundly between distinct genetic backgrounds. We mapped the genetic basis of this background dependency and identified the cryptic modifier locus suppressor of branching 2 (sb2), which contains the conserved floral identity gene ANANTHA. We show that natural variation at sb2 modulates how inflorescence architecture responds to MADS-box dosage effects from natural and engineered loss-of-function mutations. Our findings illustrate how cryptic genetic variants can reshape gene dosage relationships and underscore the importance of characterizing such hidden variation for predictive engineering of quantitative traits using genome editing. Significance StatementAdvances in crop genome editing enable precise modifications of gene dosage to fine-tune quantitative traits in crop improvement, but the predictability of such strategies remains limited. We show that hidden genetic differences, known as cryptic variation, can alter how gene dosage changes influence plant growth and development. Using tomato inflorescence architecture as a model, we characterize a natural cryptic modifier locus, suppressor of branching 2 (sb2), that modifies the effects of natural and engineered mutations in dosage-sensitive MADS-box genes. Our findings demonstrate that gene dosage effects depend on genetic background and highlight an often-unrecognized constraint on precision breeding by genome editing. Accounting for similar cases of cryptic variation will be essential for predictable engineering of quantitative traits in crops.

plant biology↗

bioRxiv2025

Incomplete functional divergence drives genetic synergy during floral development in tomato

Genetic synergy arises from interactions between functionally related genes that control complex traits in plants and animals. Synergy occurs when the combined effect of multiple genes exceeds the additive contribution from each individual gene. However, genetic mechanisms that drive and maintain synergy remain largely elusive. Here, we investigated synergistic interactions among SEPALLATA MADS-box genes during floral development in tomato. We discovered that synergy emerges from duplicated genes that partitioned functions to regulate inflorescence architecture and floral organ identity. Moreover, synergistic interactions are reflected in non-additive expression changes that coordinate successive developmental stages. Finally, we demonstrate that synergy occurs due to residual redundancy on a dose-sensitive module guiding floral identity. These results indicate that synergy emerges as a relic of redundancy when functional divergence remains incomplete due to gene dosage constraints. Our work provides insights into mechanisms through which gene families diverge to produce the substrate for biological innovations during evolution.

genetics↗

bioRxiv2024

Application of a GRF-GIF chimera enhances plant regeneration for genome editing in tomato

Genome editing has become a routine tool for functionally characterizing plant and animal genomes. However, stable genome editing in plants remains limited by the time- and labor- intensive process of generating transgenic plants, as well as by the efficient isolation of desired heritable edits. In this study, we evaluated the impact of the morphogenic regulator GRF-GIF on plant regeneration and genome editing outcomes in tomato. We demonstrate that expressing a tomato GRF-GIF chimera reliably accelerates the onset of shoot regeneration from callus tissue culture by approximately one month and nearly doubles the number of recovered transgenic plants. Consequently, the GRF-GIF chimera enables the recovery of a broader range of edited haplotypes and simplifies the isolation of mutants harboring heritable edits, but without markedly interfering with plant growth and development. Based on these findings, we outline strategies that employ basic or advanced diagnostic pipelines for efficient isolation of single and higher-order mutants in tomato. Our work represents a technical advantage for tomato transformation and genome editing, with potential applications across other Solanaceae species.

plant biology↗

bioRxiv2024

Repairing a deleterious domestication variant in a floral regulator of tomato by base editing

Crop genomes accumulated deleterious mutations, a symptom known as the cost of domestication. Precision genome editing has been proposed to eliminate such potentially harmful mutations, however, experimental demonstration is lacking. Here, we identified a deleterious mutation in the tomato transcription factor SUPPRESSOR OF SP2 (SSP2), which became prevalent in the domesticated germplasm and diminished DNA-binding to genome-wide targets. We found that SSP2 acts partially redundant with its paralog SSP to regulate shoot and inflorescence architecture. However, redundancy was compromised during tomato domestication and completely lost in the closely-related species Physalis grisea, in which a single ortholog regulates shoot branching. We applied base editing to directly repair the deleterious mutation in cultivated tomato and obtained plants with compact growth that provide an early fruit yield. Our work shows how deleterious variants sensitized modern genotypes for phenotypic tuning and illustrates how repairing deleterious mutations with genome editing may allow predictable crop improvement.

genetics↗

bioRxiv2022

Establishing Physalis as a new Solanaceae model system enables genetic reevaluation of the inflated calyx syndrome

The highly diverse Solanaceae family contains several widely studied model and crop species. Fully exploring, appreciating, and exploiting this diversity requires additional model systems. Particularly promising are orphan fruit crops in the genus Physalis, which occupy a key evolutionary position in the Solanaceae and capture understudied variation in traits such as inflorescence complexity, fruit ripening and metabolites, disease and insect resistance, self-compatibility, and most notable, the striking Inflated Calyx Syndrome (ICS), an evolutionary novelty found across angiosperms where sepals grow exceptionally large to encapsulate fruits in a protective husk. We recently developed transformation and genome editing in Physalis grisea (groundcherry). However, to systematically explore and unlock the potential of this and related Physalis as genetic systems, high-quality genome assemblies are needed. Here, we present chromosome-scale references for P. grisea and its close relative P. pruinosa and use these resources to study natural and engineered variation in floral traits. We first rapidly identified a natural structural variant in a bHLH gene that causes petal color variation. Further, and against expectations, we found that CRISPR-Cas9 targeted mutagenesis of 11 MADS-box genes, including purported essential regulators of ICS, had no effect on inflation. In a forward genetics screen, we identified huskless, which lacks ICS due to mutation of an AP2-like gene that causes sepals and petals to merge into a single whorl of mixed identity. These resources and findings elevate Physalis to a new Solanaceae model system, and establish a new paradigm for the search of factors driving ICS.

plant biology↗

bioRxiv2021

Automated assembly scaffolding elevates a new tomato system for high-throughput genome editing

Advancing crop genomics requires efficient genetic systems enabled by high-quality personalized genome assemblies. Here, we introduce RagTag, a toolset for automating assembly scaffolding and patching, and we establish chromosome-scale reference genomes for the widely used tomato genotype M82 along with Sweet-100, a rapid-cycling genotype that we developed to accelerate functional genomics and genome editing. This work outlines strategies to rapidly expand genetic systems and genomic resources in other plant species.

plant biology↗

bioRxiv2020

SVCollector: Optimized sample selection for cost-efficient long-read population sequencing

An increasingly important scenario in population genetics is when a large cohort has been genotyped using a low-resolution approach (e.g. microarrays, exome capture, short-read WGS), from which a few individuals are selected for resequencing using a more comprehensive approach, especially long-read sequencing. The subset of individuals selected should ensure that the captured genetic diversity is fully representative and includes variants across all subpopulations. For example, human variation has historically been focused on individuals with European ancestry, but this represents a small fraction of the overall diversity. To address this goal, SVCollector (https://github.com/fritzsedlazeck/SVCollector) identifies the optimal subset of individuals for resequencing. SVCollector analyzes a population-level VCF file from a low resolution genotyping study. It then computes a ranked list of samples that maximizes the total number of variants present from a subset of a given size. To solve this optimization problem, SVCollector implements a fast greedy heuristic and an exact algorithm using integer linear programming. We apply SVCollector on simulated data, 2504 human genomes from the 1000 Genomes Project, and 3024 genomes from the 3K Rice Genomes Project and show the rankings it computes are more representative than widely used naive strategies. Notably, we show that when selecting an optimal subset of 100 samples in these two cohorts, SV-Collector identifies individuals from every subpopulation while naive methods yield an unbalanced selection. Finally, we show the number of variants present in cohorts of different sizes selected using this approach follows a power-law distribution that is naturally related to the population genetic concept of the allele frequency spectrum, allowing us to estimate the diversity present with increasing numbers of samples.

bioinformatics↗

bioRxiv2019

Fast and accurate reference-guided scaffolding of draft genomes

BackgroundAs the number of new genome assemblies continues to grow, there is increasing demand for methods to coalesce contigs from draft assemblies into pseudomolecules. Most current methods use genetic maps, optical maps, chromatin conformation (Hi-C), or other long-range linking data, however these data are expensive and analysis methods often fail to accurately order and orient a high percentage of assembly contigs. Other approaches utilize alignments to a reference genome for ordering and orienting, however these tools rely on slow aligners and are not robust to repetitive contigs.\n\nResultsWe present RaGOO, an open-source reference-guided contig ordering and orienting tool that leverages the speed and sensitivity of Minimap2 to accurately achieve chromosome-scale assemblies in just minutes. With the pseudomolecules constructed, RaGOO identifies structural variants, including those spanning sequencing gaps that are not reported by alternative methods. We show that RaGOO accurately orders and orients contigs into nearly complete chromosomes based on de novo assemblies of Oxford Nanopore long-read sequencing from three wild and domesticated tomato genotypes, including the widely used M82 reference cultivar. We then demonstrate the scalability and utility of RaGOO with a pan-genome analysis of 103 Arabidopsis thaliana accessions by examining the structural variants detected in the newly assembled pseudomolecules. RaGOO is available open-source with an MIT license at https://github.com/malonge/RaGOO.\n\nConclusionsWe demonstrate that with a highly contiguous assembly and a structurally accurate reference genome, reference-guided scaffolding with RaGOO outperforms error-prone reference-free methods and enable rapid pan-genome analysis.

bioinformatics↗

bioRxiv2018

SVCollector: Optimized sample selection for validating and long-read resequencing of structural variants

SummaryStructural Variations (SVs) are increasingly recognized for their importance in genomics. Short-read sequencing is the most widely-used approach for genotyping large numbers of samples for SVs but suffers from relatively poor accuracy. Here we present SVCollector, an open-source method that optimally selects samples to maximize variant discovery and validation using long read resequencing or PCR-based validation. SVCollector has two modes: selecting those samples that are individually the most diverse or those that collectively capture the largest number of variations.\n\nAvailabilityhttps://github.com/fritzsedlazeck/SVCollector\n\nContactfritz.sedlazeck@bcm.edu\n\nSupplementary informationSupplementary data are available at Bioinformatics online.

bioinformatics↗