ISSR-based population genetics study for tagging a diverse population of shisham (Dalbergia Sissoo) in Pakistan

Abstract

Population genetics is a subject of modelling the variations in gene and allele frequencies resulting genetic diversity between and within the population. The molecular marker assisted approaches in juxtaposition to computational biology have become powerful tools to explore the genetic pattern and diversity of a particular population. Therefore, population genetics of shisham population in terms of their diversity and genetic pattern was investigated. Twenty-one ISSR markers were used to investigate 30 shisham genotypes collected from Sindh, KPK and Balochistan. Genetic diversity analysis showed 337 loci were amplified with percent polymorphic loci, 99.41. Maximum diversity was found between genotypes SKP3 and KPK P3, however, genotypes TTP1 & TTP2 was found to be more similar. Principal Coordinate analysis depicted, first II coordinates accounted for 40.69% total genetic variation in 2-D plotting. AMOVA predicted high level of percent genetic variance within population (99%). Population genetic structure prediction using admixture model of Bayesian inference showed selected shisham population shared three gene pools (K = 3), with diverse genetic pattern that were grouped as distinct or even sharing maximum genetics. These findings could either be helpful for tagging and shaping scattered shisham population of Pakistan or a practical step toward identifying dieback disease resistant shisham germplasm.