Genetic diversity and structure among natural populations of Sindora glabra in Hainan Island, China as revealed by ISSR markers

2016 ◽  
Vol 69 ◽  
pp. 145-151 ◽  
Author(s):  
Jin-chang Yang ◽  
Qiong-Qiong Li ◽  
Niu Yu ◽  
Guang-tian Yin ◽  
Zhong-feng Wu ◽  
...  
2019 ◽  
Vol 18 (2) ◽  
Author(s):  
J.C. Costa ◽  
G.G.M. Fracetto ◽  
F.J.C. Fracetto ◽  
T.C. Souza ◽  
M.V.F. Santos ◽  
...  

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7173 ◽  
Author(s):  
Wuping Yan ◽  
Juanling Li ◽  
Daojun Zheng ◽  
Cynthia Friedman ◽  
Huafeng Wang

Background Mallotus oblongifolius, an evergreen shrub endemic to Hainan Island, China, is important both medicinally and economically. Due to its special medicinal significance and the continuing rise of market demand, its populations in the wild have been subject to long-term illegal and unrestrained collection. Hence, an evaluation of genetic variability is essential for the conservation and genetic reserve development of this species. Methods Sequence-related amplified polymorphism (SRAP) and inter-simple sequence repeat (ISSR) markers were employed to assess the genetic diversity and genetic structure of 20 natural populations of M. oblongifolius growing in different eco-geographical regions of Hainan Island, China. Results We revealed a considerable genetic diversity (h = 0.336, I = 0.5057, SRAP markers; h = 0.3068, I = 0.4657, ISSR markers) and weak genetic differentiation (Gst = 0.2764 for SRAP, Gst = 0.2709 for ISSR) with the same gene flow (Nm = 1.3092 for SRAP, Nm = 1.346 for ISSR) among the M. oblongifolius populations. The Mantel Test showed that the distribution of genetic variation among populations could not be explained by the pronounced geographical distances (r = 0.01255, p = 0.5538). All results of the Unweighted Pair Group Method with Arithmetic Mean (UPGMA), Neighbor-joining (NJ), Principal Coordinate Analysis (PCoA) and Bayesian analyses supported a habitat-specific genetic clustering model for M. oblongifolius, indicating a local adaptive divergence for the studied populations. Discussion We suggested that the habitat fragmentation and specificity for M. oblongifolius populations weakened the natural gene flow and promoted an adaptation to special habitats, which was the main reason for local adaptive divergence among M. oblongifolius.


2019 ◽  
Vol 27 (5) ◽  
pp. 1423-1434
Author(s):  
Claudivane de Sá Teles Oliveira ◽  
Ricardo Franco Cunha Moreira ◽  
Aldeney Andrade Soares Filho ◽  
Soraia Barreto Aguiar Fonteles ◽  
Norma Suely Evangelista-Barreto

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Evânia Galvão Mendonça ◽  
Anderson Marcos de Souza ◽  
Fábio de Almeida Vieira ◽  
Regiane Abjaud Estopa ◽  
Cristiane Aparecida Fioravante Reis ◽  
...  

The objective of this study was to assess the genetic variability in two natural populations ofCalophyllum brasilienselocated along two different rivers in the state of Minas Gerais, Brazil, using RAPD molecular markers. Eighty-two polymorphic fragments were amplified using 27 primers. The values obtained for Shannon index (I) were 0.513 and 0.530 for the populations located on the margins of the Rio Grande and Rio das Mortes, respectively, demonstrating the high genetic diversity in the studied populations. Nei’s genetic diversity (He) was 0.341 for the Rio Grande population and 0.357 for the Rio das Mortes population. These results were not significantly different between populations and suggest a large proportion of heterozygote individuals within both populations. AMOVA showed that 70.42% of the genetic variability is found within populations and 29.58% is found among populations (ФST=0.2958). The analysis of kinship coefficients detected the existence of family structures in both populations. Average kinship coefficients between neighboring individuals were 0.053 (P<0.001) in Rio das Mortes and 0.040 (P<0.001) in Rio Grande. This could be due to restricted pollen and seed dispersal and the history of anthropogenic disturbance in the area. These factors are likely to contribute to the relatedness observed among these genotypes.


2017 ◽  
Vol 40 (3) ◽  
pp. 771-781 ◽  
Author(s):  
Javad Hadian ◽  
Safiollah Raeisi ◽  
Ali Azizi ◽  
Maryam Pezhmanmehr ◽  
Ali Sarkhosh

2013 ◽  
Vol 304 ◽  
pp. 407-416 ◽  
Author(s):  
Masakazu G. Iwaizumi ◽  
Yoshiaki Tsuda ◽  
Masato Ohtani ◽  
Yoshihiko Tsumura ◽  
Makoto Takahashi

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