Genetic diversity analysis of cultivated Korarima [Aframomum corrorima (Braun) P.C.M. Jansen] populations from southwestern Ethiopia using inter simple sequence repeats (ISSR) marker

Abstract

BackgroundKorarima (Aframomum corrorima) is a perennial and aromatic herb native and widely distributed in southwestern Ethiopia. It is known for its fine flavor as a spice in various Ethiopian traditional dishes. Few molecular studies have been performed on this species so far. In the present paper, the ISSR technique was employed to study the genetic diversity in populations of cultivated A. corrorima.ResultsSeven ISSR primers produced a total of 86 clearly scorable DNA bands. High levels of genetic diversity were detected in cultivated A. corrorima (percentage of polymorphic bands = 97.67%, gene diversity = 0.35, Shannon’s information index = 0.52). Analysis of molecular variance (AMOVA) showed that 27.47% of the variation is attributed to the variation among populations and 72.53% to the variation within populations. The Fst (0.28) value showed a significant (p < 0.0001) genetic differentiation among populations. This was supported by the high coefficient of gene differentiation (Gst = 0.32) and low estimated gene flow (Nm = 1.08). A neighbor-joining dendrogram showed that the thirteen cultivated populations were separated into three clusters, which was in good accordance with the results provided by the two dimensional and three dimensional coordinate analyses. However, the clusters did not reveal clear pattern of populations clustering according to their geographic origin. This could be due to human mediated transfer of genetic material among different localities.ConclusionThe genetic diversity in populations of A. corrorima from the southwestern part of Ethiopia was relatively high. This finding should be taken into account when conservation actions, management policies for the species and site identification for in situ and ex situ conservation strategies are developed. Mizan Teferi II population displayed the highest genetic diversity; this population should be considered as the key site in designing conservation strategies for this crop. In addition, Jimma I and Jimma II populations with lowest genetic diversity, should also be considered due to the putative risk of extinction that they face because of the low genetic diversity.

Genetic Diversity and Population Structure Analysis of Vernonia [Vernonia Galamensis (Cass.) Less L.] Germplasm in Ethiopia Using Issr Markers

“…Like the present study a high and signi cant within populations genetic variations have been reported in previous studies using ISSR markers. In line with this, Dagmawit and Bekele [32] reported high (72.53%) within population genetic variation with only 27.47% for the among populations genetic variation for Korarima populations of Ethiopia using seven ISSR markers. Likewise, Hailu et al [16] reported high (64.8%) intra-population variations with lower (34.2%) inter-population variations for Korarima populations using ISSR markers.…”

Genetic Diversity and Population Structure Analysis of Vernonia [Vernonia galamensis (Cass.) Less L.] Germplasm in Ethiopia using ISSR Markers

“…The success of a crop improvement program highly depends on the availability and knowledge of the genetic resources in a germplasm collection [32]. Since areas of high genetic diversity mostly contribute more accessions than those of low diversity for further and future collection, breeding and conservation activities should be based in areas with high genetic diversity.…”

A Brief Review of Molecular Markers to Analyse Medically Important Plants

“…ISSR, as a modification of SSRs, offers such advantages such as high reproducibility, high polymorphism, low DNA requirements, easy handling, and high genomic distribution [31]. Chombe and Bekele [32] investigated the genetic diversity in populations of Aframomum corrorima (an economically important medicinal plant in Ethiopia) via seven ISSR primers. Moreover, Hashemifar and Rahimmalek [33] also reported that ISSR markers showed high efficiency in the evaluation of population diversity in Perovskia.…”