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Improving selection efficiency in C. americana x C. avellana interspecific hybrids through the development of an indel-based genetic map
Improving selection efficiency in C. americana x C. avellana interspecific hybrids through the development of an indel-based genetic map
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Improving selection efficiency in C. americana x C. avellana interspecific hybrids through the development of an indel-based genetic map
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Improving selection efficiency in C. americana x C. avellana interspecific hybrids through the development of an indel-based genetic map
Improving selection efficiency in C. americana x C. avellana interspecific hybrids through the development of an indel-based genetic map

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Improving selection efficiency in C. americana x C. avellana interspecific hybrids through the development of an indel-based genetic map
Improving selection efficiency in C. americana x C. avellana interspecific hybrids through the development of an indel-based genetic map
Paper

Improving selection efficiency in C. americana x C. avellana interspecific hybrids through the development of an indel-based genetic map

2023
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Overview
This study reports a genetic map created using a progeny family descended from the interspecific hazelnut cross Corylus avellana x Corylus americana. This research represents a critical step in the development of genomic tools that enable the deployment of next-generation sequencing methods in the breeding of hazelnut, specifically the improvement of well-adapted Midwestern hazelnut varieties. To produce this map, we first developed high-density molecular markers using short-read Illumina sequencing of genotype-by-sequencing libraries. By aligning reads to a newly assembled reference genome for C. americana, we were able to identify over 75,000 high-quality indel-based polymorphisms across an F1 experimental population. These markers exhibited both high allele depth coverage, and low linkage disequilibrium, making them well-suited to genetic map development. We constructed such a map using 95 individuals from a single F1 family, demonstrating the utility of next-generation sequencing to efficiently and accurately generate high-density genetic maps. This research will improve the efficiency of breeding efforts, both through the validation of specific molecular markers that are associated with agronomically-relevant traits in breeding populations of interest.Competing Interest StatementThe authors have declared no competing interest.Footnotes* https://doi.org/10.6084/m9.figshare.21902193