Molecular phylogeny and ecogeography of Onobrychis viciifolia Scop. (Fabaceae) based on nrDNA ITS sequences and genomic ISSR fingerprinting

Abstract

In this study 40 specimens from 8 representative Iranian populations of Onobrychis viciifolia SCOP. were collected from their natural habitats. The specimens were biometrically assessed using 43 quantitative and 15 qualitative morphological characters. At each sample site we recorded ecogeographical variables. In order to evaluate the difference between the variation due to phenotypic responses and genetic adaptation, we generated nucleotide sequence data from the internal transcribed spacer of the nuclear rDNA genes (ITS) and carried out genomic fingerprints using inter‐simple sequence repeat PCR (ISSR). Cluster analysis of morphological characters divided the eight populations into three major groups. Leaf length, leaflet length and width, calyx length, plant height, and stem length were introduced as diagnostic characters for three different morphological groups. Furthermore, canonical correspondence analysis (CCA) of ecogeographical data showed correlations between morphological variations and ecogeographical factors. Clay%, saturation percentage (SP), total neutralizing value (TNV%), texture, minimum temperature, and geographic separation were the main environmental variables associated with morphological groups of O. viciifolia. ISSR analysis revealed three main groups which are in correspondence with morphological groups, indicating that the three morphological groups have been shaped by genetic and phenotypic responses to environmental conditions. (© 2012 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)

Evolutionary history of an Irano-Turanian cushion-forming legume (Onobrychis cornuta)

“…Onobrychis sensu Amirahmadi et al 2016 [ 15 ]) species such as O . viciifolia [ 42 , 43 ] and O . transsilvanica / O .…”

Evaluation of the Genetic Structure of Some Accessions Belonging to Onobrychis spp. Using Microsatellite DNA Markers

“…There were previous reports evaluating genetic structure and diversity in sainfoin populations/accessions. Some of them have used RAPD analysis (Nosrati et al, 2012;Rasouli et al, 2013;Hejrankesh et al, 2014;Ertus, 2021), ISSR analysis (Toluei et al, 2012;Zarrabian et al, 2013;Zarrabian and Majidi, 2015;Nosrati et al, 2016;Ertus, 2021), AFLP analysis (Bhattarai, 2017), and SSR analysis (Demdoum et al, 2012;Kempf et al, 2016;Ozkan and Bilgen, 2019;Shen et al, 2019;Sutcu, 2020). When the studies were examined, it was observed that either dominant marker systems or SSR analysis developed for closely related species were used for determination of the genetic structure and diversity of sainfoin species.…”