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Comparison of Recombination Rate, Reference Bias, and Unique Pangenomic Haplotypes in Cannabis sativa Using Seven De Novo Genome Assemblies

Title: Comparison of Recombination Rate, Reference Bias, and Unique Pangenomic Haplotypes in Cannabis sativa Using Seven De Novo Genome Assemblies
Authors: George M. Stack; Michael A. Quade; Dustin G. Wilkerson; Luis A. Monserrate; Philip C. Bentz; Sarah B. Carey; Jane Grimwood; Jacob A. Toth; Seth Crawford; Alex Harkess; Lawrence B. Smart
Source: International Journal of Molecular Sciences ; Volume 26 ; Issue 3 ; Pages: 1165
Publisher Information: Multidisciplinary Digital Publishing Institute
Publication Year: 2025
Collection: MDPI Open Access Publishing
Subject Terms: hemp; Cannabis; genome assembly; synteny; k -mer; recombination; reference bias
Subject Geographic: agris
Description: Genomic characterization of Cannabis sativa has accelerated rapidly in the last decade as sequencing costs have decreased and public and private interest in the species has increased. Here, we present seven new chromosome-level haplotype-phased genomes of C. sativa. All of these genotypes were alive at the time of publication, and several have numerous years of associated phenotype data. We performed a k-mer-based pangenome analysis to contextualize these assemblies within over 200 existing assemblies. This allowed us to identify unique haplotypes and genomic diversity among Cannabis sativa genotypes. We leveraged linkage maps constructed from F2 progeny of two of the assembled genotypes to characterize the recombination rate across the genome showing strong periphery-biased recombination. Lastly, we re-aligned a bulk segregant analysis dataset for the major-effect flowering locus Early1 to several of the new assemblies to evaluate the impact of reference bias on the mapping results and narrow the locus to a smaller region of the chromosome. These new assemblies, combined with the continued propagation of the genotypes, will contribute to the growing body of genomic resources for C. sativa to accelerate future research efforts.
Document Type: text
File Description: application/pdf
Language: English
Relation: Molecular Genetics and Genomics; https://dx.doi.org/10.3390/ijms26031165
DOI: 10.3390/ijms26031165
Availability: https://doi.org/10.3390/ijms26031165
Rights: https://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.4A72BA0F
Database: BASE