HASCH - A high-throughput amplicon-based SNP-platform for medicinal cannabis and industrial hemp genotyping applications.

Autor: Mansueto L; Southern Cross Plant Science, Faculty of Science and Engineering, Southern Cross University, 1 Military Road, East Lismore, NSW, 2480, Australia., Tandayu E; Southern Cross Plant Science, Faculty of Science and Engineering, Southern Cross University, 1 Military Road, East Lismore, NSW, 2480, Australia., Mieog J; Southern Cross Plant Science, Faculty of Science and Engineering, Southern Cross University, 1 Military Road, East Lismore, NSW, 2480, Australia., Garcia-de Heer L; Southern Cross Plant Science, Faculty of Science and Engineering, Southern Cross University, 1 Military Road, East Lismore, NSW, 2480, Australia., Das R; Southern Cross Plant Science, Faculty of Science and Engineering, Southern Cross University, 1 Military Road, East Lismore, NSW, 2480, Australia., Burn A; Southern Cross Plant Science, Faculty of Science and Engineering, Southern Cross University, 1 Military Road, East Lismore, NSW, 2480, Australia., Mauleon R; Southern Cross Plant Science, Faculty of Science and Engineering, Southern Cross University, 1 Military Road, East Lismore, NSW, 2480, Australia.; International Rice Research Institute, Pili Drive, Los Banos, Laguna, Philippines., Kretzschmar T; Southern Cross Plant Science, Faculty of Science and Engineering, Southern Cross University, 1 Military Road, East Lismore, NSW, 2480, Australia. Tobias.Kretzschmar@scu.edu.au.
Jazyk: angličtina
Zdroj: BMC genomics [BMC Genomics] 2024 Aug 29; Vol. 25 (1), pp. 818. Date of Electronic Publication: 2024 Aug 29.
DOI: 10.1186/s12864-024-10734-z
Abstrakt: Background: Cannabis sativa is seeing a global resurgence as a food, fiber and medicinal crop for industrial hemp and medicinal Cannabis industries respectively. However, a widespread moratorium on the use and research of C. sativa throughout most of the 20th century has seen the development of improved cultivars for specific end uses lag behind that of conventional crops. While C. sativa research and development has seen significant investments in the recent past, resulting in a suite of publicly available genomic resources and tools, a versatile and cost-effective mid-density genotyping platform for applied purposes in breeding and pre-breeding is lacking. Here we report on a first mid-density fixed-target SNP platform for C. sativa.
Results: The High-throughput Amplicon-based SNP-platform for medicinal Cannabis and industrial Hemp (HASCH) was designed using a combination of filtering and Integer Linear Programming on publicly available whole-genome sequencing and RNA sequencing data, supplemented with in-house generated genotyping-by-sequencing (GBS) data. HASCH contains 1,504 genome-wide targets of high call rate (97% mean) and even distribution across the genome, designed to be highly informative (> 0.3 minor allele frequency) across both medicinal cannabis and industrial hemp gene pools. Average numbers of mismatch SNP between any two accessions were 251 for medicinal cannabis (N = 116) and 272 for industrial hemp (N = 87). Comparing HASCH data with corresponding GBS data on a collection of diverse C. sativa accessions demonstrated high concordance and resulted in comparable phylogenies and genetic distance matrices. Using HASCH on a segregating F2 population derived from a cross between a tetrahydrocannabinol (THC)-dominant and a cannabidiol (CBD)-dominant accession resulted in a genetic map consisting of 310 markers, comprising 10 linkage groups and a total size of 582.7 cM. Quantitative Trait Locus (QTL) mapping identified a major QTL for CBD content on chromosome 7, consistent with previous findings.
Conclusion: HASCH constitutes a versatile, easy to use and cost-effective genotyping solution for the rapidly growing Cannabis research community. It provides consistent genetic fingerprints of 1504 SNPs with wide applicability genetic resource management, quantitative genetics and breeding.
(© 2024. The Author(s).)
Databáze: MEDLINE
Nepřihlášeným uživatelům se plný text nezobrazuje