Analysis of genetic variability in endemic medicinal plants of genus Chlorophytum from the Indian subcontinent using amplified fragment length polymorphism marker

Abstract

The genus Chlorophytum consists of medicinally important species like Chlorophytum borivilianum, C. tuberosum and C. attenuatum. Uncontrolled harvest of this plant from wild habitat due to its high commercial value made the species of this genus be listed in the Red Data Book of Indian plants as an endangered species. In India, approximately nineteen species of Chlorophytum are found; out of these, only C. borivilianum is cultivated commercially. The objective of this study was to measure genetic diversity, population structure and phylogenetic relationship among the species using Amplified Fragment Length Polymorphisms (AFLP). Fifteen pairs of primer (out of 64 primer pairs screened) were used to analyse the genetic diversity in eighteen species of genus Chlorophytum. Cluster analysis, estimation of the gene flow among the species and of the phylogeographic distribution of this genus were carried out using an AFLP data matrix. A high level of genetic diversity was observed on the basis of the percentage of polymorphic bands (99.91%), Shannon's information index (0.3592) and Nei's gene diversity (0.2085) at species level. Cluster analysis of UPGMA dendrogram, principal component analysis and Bayesian method analysis resolved these species in three different clusters, which was supported by morphological information. The Mantel test (r=0.4432) revealed a significant positive correlation between genetic and geographic distances. The collected data have an important implication in the identification, authentication, and conservation of the species of the genus Chlorophytum.

Keywords: AFLP; Chlorophytum; Cluster analysis; Genetic variation; Interspecific relationship.