Population Genetics of Calotropis gigantea, a Medicinal and Fiber Resource Plant, as Inferred from Microsatellite Marker Variation in two Native Countries

Md Rabiul Islam, Zhi Zhong Li, Andrew W. Gichira, Mohammad Nur Alam, Peng Cheng Fu, Guang Wan Hu, Qing Feng Wang, Ling Yun Chen

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Calotropis gigantea is well known for its aesthetic, medicinal, pharmacological, fodder, fuel, and fiber production potential. Unfortunately, this plant species is still undomesticated, and the genetic information available for crop improvement is limited. For this study, we sampled 21 natural populations of C. gigantea from two key areas of its natural distribution range (Bangladesh and China) and genotyped 379 individuals using nine nuclear microsatellite markers. Population genetic diversity was higher in Bangladesh than that observed in Chinese populations. Overall, a moderate level of genetic diversity was found (Na = 3.73, HE = 0.466), with most of the genetic variation detected within populations (65.49%) and substantial genetic differentiation (FST = 0.345) between the study regions. We observed a significant correlation between genetic and geographic distances (r = 0.287, P = 0.001). The Bayesian clustering, UPGMA tree, and PCoA analyses yielded three distinct genetic pools, but the number of migrants per generation was high (NM = 0.52–2.78) among them. Our analyses also revealed that some populations may have experienced recent demographic bottlenecks. Our study provides a baseline for exploitation of the genetic resources of C. gigantea in domestication and breeding programs as well as some insights into the germplasm conservation of this valuable plant.

Original languageEnglish (US)
Pages (from-to)522-539
Number of pages18
JournalBiochemical Genetics
Volume57
Issue number4
DOIs
StatePublished - Aug 1 2019

Keywords

  • Calotropis gigantea
  • Domestication
  • Gene flow
  • Genetic diversity
  • Microsatellites
  • Population bottleneck

PubMed: MeSH publication types

  • Journal Article

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