Pan-genomics and genome-editing technologies are revolutionizing breeding of global crops1,2. A transformative opportunity lies in exchanging genotype-to-phenotype knowledge between major crops (that is, those cultivated globally) and indigenous crops (that is, those locally cultivated within a circumscribed area)3-5 to enhance our food system. However, species-specific genetic variants and their interactions with desirable natural or engineered mutations pose barriers to achieving predictable phenotypic effects, even between related crops6,7. Here, by establishing a pan-genome of the crop-rich genus Solanum8 and integrating functional genomics and pan-genetics, we show that gene duplication and subsequent paralogue diversification are major obstacles to genotype-to-phenotype predictability. Despite broad conservation of gene macrosynteny among chromosome-scale references for 22 species, including 13 indigenous crops, thousands of gene duplications, particularly within key domestication gene families, exhibited dynamic trajectories in sequence, expression and function. By augmenting our pan-genome with African eggplant cultivars9 and applying quantitative genetics and genome editing, we dissected an intricate history of paralogue evolution affecting fruit size. The loss of a redundant paralogue of the classical fruit size regulator CLAVATA3 (CLV3)10,11 was compensated by a lineage-specific tandem duplication. Subsequent pseudogenization of the derived copy, followed by a large cultivar-specific deletion, created a single fused CLV3 allele that modulates fruit organ number alongside an enzymatic gene controlling the same trait. Our findings demonstrate that paralogue diversifications over short timescales are underexplored contingencies in trait evolvability. Exposing and navigating these contingencies is crucial for translating genotype-to-phenotype relationships across species.

Pan-genomics and genome editing technologies are revolutionizing the breeding of globally cultivated crops. A transformative opportunity lies in the reciprocal exchange of genotype-to-phenotype knowledge of agricultural traits between these major crops and hundreds of locally cultivated indigenous crops, thereby enhancing the diversity and resilience of our food system. However, species-specific genetic variants and their interactions with desired natural or engineered mutations pose barriers to achieving predictable phenotypic effects, even between closely related crops or genotypes. Here, by establishing a pan-genome of the crop-rich genus Solanum and integrating functional genomics and genetics, we show that gene duplication and subsequent paralog diversification are a major obstacle to genotype-phenotype predictability. Despite broad conservation of gene macrosynteny among chromosome-scale references for 22 species, including 13 indigenous crops, hundreds of global and lineage-specific gene duplications exhibited dynamic evolutionary trajectories in paralog sequence, expression, and function, including among members of key domestication gene families. Extending our pan-genome with 10 cultivars of African eggplant and leveraging quantitative genetics and genome editing, we uncovered an intricate history of paralog emergence and evolution within this indigenous crop. The loss of an ancient redundant paralog of the classical regulator of stem cell proliferation and fruit organ number, CLAVATA3 ( CLV3 ), was compensated by a lineage-specific tandem duplication. Subsequent pseudogenization of the derived copy followed by a cultivar-specific structural variant resulted in a single fused functional copy of CLV3 that modifies locule number alongside a newly identified gene controlling the same trait. Our findings demonstrate that paralog diversifications over short evolutionary periods are critical yet underexplored contingencies in trait evolvability and independent crop domestication histories. Unraveling these contingencies is crucial for translating genotype-to-phenotype relationships across related species. ### Competing Interest Statement WRM is a founder and shareholder in Orion Genomics, a plant genomics company. Z.B.L. is a consultant for and a member of the Scientific Strategy Board of Inari Agriculture.

An enduring question in evolutionary biology concerns the degree to which episodes of convergent trait evolution depend on the same genetic programs, particularly over long timescales. In this work, we genetically dissected repeated origins and losses of prickles—sharp epidermal projections—that convergently evolved in numerous plant lineages. Mutations in a cytokinin hormone biosynthetic gene caused at least 16 independent losses of prickles in eggplants and wild relatives in the genus Solanum . Homologs underlie prickle formation across angiosperms that collectively diverged more than 150 million years ago, including rice and roses. By developing new Solanum genetic systems, we leveraged this discovery to eliminate prickles in a wild species and an indigenously foraged berry. Our findings implicate a shared hormone activation genetic program underlying evolutionarily widespread and recurrent instances of plant morphological innovation.

Adenine base editors (ABEs) are valuable, precise genome editing tools in plants. In recent years, the highly promising ADENINE BASE EDITOR8e (ABE8e) was reported for efficient A-to-G editing. However, compared to monocots, comprehensive off-target analyses for ABE8e are lacking in dicots. To determine the occurrence of off-target effects in tomato (Solanum lycopersicum), we assessed ABE8e and a high-fidelity version, ABE8e-HF, at 2 independent target sites in protoplasts, as well as stable T0 lines. Since ABE8e demonstrated higher on-target efficiency than ABE8e-HF in tomato protoplasts, we focused on ABE8e for off-target analyses in T0 lines. We conducted whole-genome sequencing (WGS) of wild-type (WT) tomato plants, green fluorescent protein (GFP)-expressing T0 lines, ABE8e-no-gRNA control T0 lines, and edited T0 lines. No guide RNA (gRNA)-dependent off-target edits were detected. Our data showed an average of approximately 1,200 to 1,500 single-nucleotide variations (SNVs) in either GFP control plants or base-edited plants. Also, no specific enrichment of A-to-G mutations were found in base-edited plants. We also conducted RNA sequencing (RNA-seq) of the same 6 base-edited and 3 GFP control T0 plants. On average, approximately 150 RNA-level SNVs were discovered per plant for either base-edited or GFP controls. Furthermore, we did not find enrichment of a TA motif on mutated adenine in the genomes and transcriptomes in base-edited tomato plants, as opposed to the recent discovery in rice (Oryza sativa). Hence, we could not find evidence for genome- and transcriptome-wide off-target effects by ABE8e in tomato. Whole-genome sequencing and transcriptome sequencing reveal high editing specificity of an efficient adenine base editor in tomato.