The level of genetic diversity and differentiation of tropical lotus, Nelumbo nucifera Gaertn. (Nelumbonaceae) from Australia, India, and Thailand

• Published in: Botanical studies Vol. 61; no. 1; p. 15
• Main Authors: Mekbib, Yeshitila, Huang, Shi-Xu, Ngarega, Boniface K., Li, Zhi-Zhong, Shi, Tao, Ou, Ke-Fang, Liang, Yu-Ting, Chen, Jin-Ming, Yang, Xing-Yu
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 16.05.2020; Springer Nature B.V; SpringerOpen
• Subjects: alleles; Aquatic plants; Australia; biogeography; Biomedical and Life Sciences; Cluster analysis; Conservation; crops; Differentiation; Ecology; Economic importance; Ecotypes; Gene flow; Genetic analysis; Genetic diversity; Genetic markers; Genetic variability; genetic variation; Genotypes; Geographical distribution; Geographical locations; Geography; India; Life Sciences; macrophytes; Markers; microsatellite repeats; Microsatellites; Nelumbo nucifera; Original; Original Article; Plant Genetics and Genomics; Plant Sciences; Population genetics; Population studies; Populations; Species; SSR markers; Structural analysis; Thailand; Tropical lotus; Wildlife conservation; Thailand; Australia; India; Gene flow; Genetic diversity; Tropical lotus; Conservation; SSR markers; Nelumbo nucifera
• ISSN: 1999-3110; 1817-406X; 1999-3110
• DOI: 10.1186/s40529-020-00293-3

Background Nelumbo nucifera Gaertn., a perennial aquatic macrophyte species, has been cultivated in several Asian countries for its economic importance, and medicinal uses. Two distinct ecotypes of the species are recognized based on the geographical location where the genotypes are adapted, i.e., tropical lotus and temperate lotus. The genetic diversity levels and differentiation of the tropical lotus from poorly studied geographic regions still remain unclear. Here, the population genetic diversity and structure of 15 tropical lotus populations sampled from the previous understudied natural distribution ranges, including India, Thailand, and Australia, were assessed using nine polymorphic SSR markers. Results The SSR markers used to genotype the 216 individuals yielded 65 alleles. The highest and lowest genetic diversity estimates were found in Thailand and Indian populations, respectively. STRUCTURE analysis revealed three distinct genetic clusters, with relatively low admixtures, supported by PCoA cluster analysis. Low levels of gene flow (mean N⁠m = 0.346) among the three genetic clusters signified the Mantel test for isolation by distance, revealing the existence of a positive correlation between the genetic and geographic distances (r = 0.448, P  = 0.004). Besides, AMOVA analysis revealed a higher variation among populations (59.98%) of the three groups. Overall, the populations used in this study exposed a high level of genetic differentiation (F ST  = 0.596). Conclusions The nine polymorphic microsatellite markers used in our study sufficiently differentiated the fifteen tropical  N. nucifera  populations based on geography. These populations presented different genetic variability, thereby confirming that populations found in each country are unique. The low genetic diversity (H E  = 0.245) could be explained by limited gene flow and clonal propagation. Conserving the available diversity using various conservation approaches is essential to enable the continued utilization of this economically important crop species. We, therefore, propose that complementary conservation approaches ought to be introduced to conserve tropical lotus, depending on the genetic variations and threat levels in populations.