Fingerprinting, structure, and genetic relationships among selected accessions of blue honeysuckle (Lonicera caerulea L.) from European collections

Autor: Miłosz Smolik, Ireneusz Ochmian, Aleksandra Bobrowska-Chwat, Gerard Chwat, Liina Arus, Piotr Banaszczak, Jan Bocianowski, Paweł Milczarski, Krystyna Ostrowska
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Biotechnology Reports, Vol 34, Iss , Pp e00721- (2022)
Druh dokumentu: article
ISSN: 2215-017X
DOI: 10.1016/j.btre.2022.e00721
Popis: Due to its value and economic importance, the genome of Lonicera caerulea L. has been widely studied in various fields of science. In this study the genetic structure and relationships between 24 accessions of L. caerulea of different origins were assessed. A total of 692, 814, and 258 loci were amplified using 43 RAPD (random amplified polymorphic DNA), 40 ISSR (intersimple sequence repeat), and 20 R-ISSR (RAPD+ISSR) primers, respectively. Among the amplified loci, 66–78% were polymorphic and 12–20% were private. Selected R-ISSR sequences were detected in Lonicera japonica transcripts. Cluster and STRUCTURE analyses performed for each of the techniques revealed the existing differences and unknown similarities between the genotypes. The r-factor values calculated in the Mantel test indicated highly significant positive correlations between the Nei distance matrices, similar to the FST values (FST_RAPD = 0.223, FST_ISSR = 0.279, FST_R-ISSR = 0.363) determined in the analysis of molecular variance. It was found that 78%, 72%, and 64% of the genetic variations were related to the differences observed within the populations, which suggest that the variations are mainly reflected in the differences among the genotypes. The principal coordinate analysis showed greater differences between the mean distances of the Lonicera genotype pair and the actual distances of the same pairs on the Nei matrix compared to multidimensional scaling. These differences were 45%, 56%, and 42% higher for RAPD, ISSR and R-ISSR, respectively.
Databáze: Directory of Open Access Journals