Fingerprinting, Structure, and Genetic Relationships Among Selected Accessions of Blue Honeysuckle ( L.) from European Collections

Overview

Journal Biotechnol Rep (Amst)

Specialty Biotechnology

Date 2022 Jun 10

PMID 35686005

Authors

Milosz Smolik

Ireneusz Ochmian

Aleksandra Bobrowska-Chwat

Gerard Chwat

Liina Arus

Piotr Banaszczak

Jan Bocianowski

Pawel Milczarski

Krystyna Ostrowska

Affiliations

Soon will be listed here.

Abstract

Due to its value and economic importance, the genome of L. has been widely studied in various fields of science. In this study the genetic structure and relationships between 24 accessions of 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 transcripts. Cluster and STRUCTURE analyses performed for each of the techniques revealed the existing differences and unknown similarities between the genotypes. The -factor values calculated in the Mantel test indicated highly significant positive correlations between the Nei distance matrices, similar to the values ( = 0.223, = 0.279, = 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 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.

Citing Articles

Genetic Structure of Native Blue Honeysuckle Populations in the Western and Eastern Eurasian Ranges.

Naugzemys D, Patamsyte J, Zilinskaite S, Hoshino Y, Skridaila A, Zvingila D Plants (Basel). 2022; 11(11).

PMID: 35684253 PMC: 9182990. DOI: 10.3390/plants11111480.

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