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Article|21 Apr 2026|OPEN
Targeted population genomics uncovers demographic history and genetic divergence in north American wild cranberry
Nicolás Pandeli Jiménez1 , Maria Alejandra Torres-Meraz2 , Jeffrey L. Neyhart3 , Juan Zalapa2,4 , Gina Maria Sideli,1 ,
1P.E. Marucci Center for Blueberry and Cranberry Research and Extension, Rutgers, The State University of New Jersey, Chatsworth, NJ 08019, USA
2Department of Plant and Agroecosystem Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA
3USDA, Agricultural Research Service, Genetic Improvement for Fruits and Vegetables Laboratory, Chatsworth, NJ 08019, USA
4United States Department of Agriculture-Agricultural Research Service, Vegetable Crops Research Unit, Madison, WI 53706, USA
*Corresponding author. E-mail: gina.sideli@rutgers.edu

Horticulture Research 13,
Article number: uhag161 (2026)
doi: https://doi.org/10.1093/hr/uhag161
Views: 49

Received: 24 Nov 2025
Accepted: 08 Apr 2026
Published online: 21 Apr 2026

Abstract

Wild populations of North American cranberry (Vaccinium macrocarpon Aiton) are reservoirs of genetic variation that may contribute to the improvement of breeding-relevant traits. However, the extent to which wild genetic variation is geographically structured and represented in elite germplasm remains unclear. We analysed 179 wild cranberry accessions from the upper Midwest and Eastern North America to estimate nucleotide diversity (π), population structure, and loci associated with genetic differentiation and environmental variables using a genome-informed targeted genotyping panel. Additionally, 14 demographic scenarios were evaluated using site-frequency-spectrum-based inference to identify historical events that could explain current genetic diversity. We observed extremely low nucleotide diversity within the targeted panel (π = 5 × 10−6). Rare allele distributions strongly influenced π and Tajima’s D values, suggesting constrained diversity in the genomic regions assayed that is not captured by heterozygosity-based estimates alone. However, we interpreted these results as conservative lower bounds on genome-wide neutral diversity because the targeted panel is enriched for genic and conserved regions. A clear separation between the Midwest and East populations was observed, with inbreeding coefficients ranging from −0.13 to 0.15. Furthermore, site frequency spectrum inference from the targeted panel supported a demographic scenario consistent with a significant population reduction ≈15–14 thousand years ago (kya), followed by a divergence between the two regions ≈12 kya, and an asymmetric gene flow ≈1.3 kya. We detected 254 candidate loci showing regional allele-frequency differentiation. Several of these loci colocalized with candidate genes linked to stress response, development, and metabolic processes. To evaluate the representation of geographically differentiated wild alleles in a breeding context, we analysed Rutgers breeding materials (n = 484) and found that this panel is enriched for common alleles in Eastern wild populations. These findings indicate regionally structured allele-frequency variation in wild cranberry, with potential relevance to environmental response and breeding. This study extends prior wild cranberry population-genetic research by providing targeted-panel estimates of diversity, comparisons of demographic models, and breeding insights on geographically differentiated alleles, while highlighting the importance of conserving wild cranberry germplasm for use in modern breeding programs.