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Abstract Cryptic genetic variants exert minimal phenotypic effects alone but are hypothesized to form a vast reservoir of genetic diversity driving trait evolvability through epistatic interactions^1–3. This classical theory has been reinvigorated by pan-genomics, which is revealing pervasive variation within gene families,cis-regulatory regions and regulatory networks^4–6. Testing the ability of cryptic variation to fuel phenotypic diversification has been hindered by intractable genetics, limited allelic diversity and inadequate phenotypic resolution. Here, guided by natural and engineeredcis-regulatory cryptic variants in a paralogous gene pair, we identified additional redundanttransregulators, establishing a regulatory network controlling tomato inflorescence architecture. By combining coding mutations withcis-regulatory alleles in populations segregating for all four network genes, we generated 216 genotypes spanning a wide spectrum of inflorescence complexity and quantified branching in over 35,000 inflorescences. Analysis of this high-resolution genotype–phenotype map using a hierarchical model of epistasis revealed a layer of dose-dependent interactions within paralogue pairs enhancing branching, culminating in strong, synergistic effects. However, we also identified a layer of antagonism between paralogue pairs, whereby accumulating mutations in one pair progressively diminished the effects of mutations in the other. Our results demonstrate how gene regulatory network architecture and complex dosage effects from paralogue diversification converge to shape phenotypic space, producing the potential for both strongly buffered phenotypes and sudden bursts of phenotypic change. 

Summary CRISPR‐Cas‐based cytosine base editors (CBEs) are prominent tools that perform site‐specific and precise C‐to‐T conversions catalysed by cytidine deaminases. However, their use is often constrained by stringent editing preferences for genomic contexts, off‐target effects and restricted editing windows. To expand the repertoire of CBEs, we systematically screened 66 novel cytidine deaminases sourced from various organisms, predominantly from the animal kingdom and benchmarked them in rice protoplasts using the nCas9‐BE3 configuration. After selecting candidates in rice protoplasts and further validation in transgenic rice lines, we unveiled a few cytidine deaminases exhibiting high editing efficiencies and wide editing windows. CBEs based on these cytidine deaminases also displayed minimal frequencies of indels and C‐to‐R (R = A/G) conversions, suggesting high purity in C‐to‐T base editing. Furthermore, we highlight the highly efficient cytidine deaminase OoA3GX2 derived from Orca (killer whale) for its comparable activity across GC/CC/TC/AC sites, thus broadening the targeting scope of CBEs for robust multiplexed base editing. Finally, the whole‐genome sequencing analyses revealed very few sgRNA‐dependent and ‐independent off‐target effects in independent T₀lines. This study expands the cytosine base‐editing toolkit with many cytidine deaminases sourced from mammals, providing better‐performing CBEs that can be further leveraged for sophisticated genome engineering strategies in rice and likely in other plant species. 

Abstract Clustered regularly interspaced short palindromic repeats (CRISPR)-associated nuclease (Cas) technologies facilitate routine genome engineering of one or a few genes at a time. However, large-scale CRISPR screens with guide RNA libraries remain challenging in plants. Here, we have developed a comprehensive all-in-one CRISPR toolbox for Cas9-based genome editing, cytosine base editing, adenine base editing (ABE), Cas12a-based genome editing and ABE, and CRISPR-Act3.0-based gene activation in both monocot and dicot plants. We evaluated all-in-one T-DNA expression vectors in rice (Oryza sativa, monocot) and tomato (Solanum lycopersicum, dicot) protoplasts, demonstrating their broad and reliable applicability. To showcase the applications of these vectors in CRISPR screens, we constructed guide RNA (gRNA) pools for testing in rice protoplasts, establishing a high-throughput approach to select high-activity gRNAs. Additionally, we demonstrated the efficacy of sgRNA library screening for targeted mutagenesis of ACETOLACTATE SYNTHASE in rice, recovering novel candidate alleles for herbicide resistance. Furthermore, we carried out a CRISPR activation screen in Arabidopsis thaliana, rapidly identifying potent gRNAs for FLOWERING LOCUS T activation that confer an early-flowering phenotype. This toolbox contains 61 versatile all-in-one vectors encompassing nearly all commonly used CRISPR technologies. It will facilitate large-scale genetic screens for loss-of-function or gain-of-function studies, presenting numerous promising applications in plants. 

ABSTRACT Cryptic genetic variants exert minimal or no phenotypic effects alone but have long been hypothesized to form a vast, hidden reservoir of genetic diversity that drives trait evolvability through epistatic interactions. This classical theory has been reinvigorated by pan-genome sequencing, which has revealed pervasive variation within gene families and regulatory networks, including extensive cis-regulatory changes, gene duplication, and divergence between paralogs. Nevertheless, empirical testing of cryptic variation’s capacity to fuel phenotypic diversification has been hindered by intractable genetics, limited allelic diversity, and inadequate phenotypic resolution. Here, guided by natural and engineered cis-regulatory cryptic variants in a recently evolved paralogous gene pair, we identified an additional pair of redundant trans regulators, establishing a regulatory network that controls tomato inflorescence architecture. By combining coding mutations with a cis-regulatory allelic series in populations segregating for all four network genes, we systematically constructed a collection of 216 genotypes spanning the full spectrum of inflorescence complexity and quantified branching in over 27,000 inflorescences. Analysis of the resulting high-resolution genotype-phenotype map revealed a layer of dose-dependent interactions within paralog pairs that enhances branching, culminating in strong, synergistic effects. However, we also uncovered an unexpected layer of antagonism between paralog pairs, where accumulating mutations in one pair progressively diminished the effects of mutations in the other. Our results demonstrate how gene regulatory network architecture and complex dosage effects from paralog diversification converge to shape phenotypic space under a hierarchical model of epistatic interactions. Given the prevalence of paralog evolution in genomes, we propose that paralogous cryptic variation within regulatory networks elicits hierarchies of epistatic interactions, catalyzing bursts of phenotypic change. Keyword:cryptic mutations, paralogs, redundancy, cis-regulatory, tomato, inflorescence, gene regulatory network, modeling, epistasis