Genetic Diversity Assessment of Khasi pine (Pinus kesiya Royle ex. Gordon) from Meghalaya Using Chloroplast Microsatellite Markers

2017 ◽  
Vol 40 (1) ◽  
pp. 15-18
Author(s):  
Kirti Chamling Rai ◽  
◽  
H.S. Ginwal ◽  
Romeet Saha ◽  
◽  
...  

The study conducted on four populations of P. kesiya using cpSSR markers reported that the overall genetic diversity was higher (HT=0.547) as compared to within population genetic diversity (HS=0.285). Gene flow estimate was found to be relatively low (Nm=0.543). The analysis of molecular variance (AMOVA) revealed 51.09% of the variation to be within population and 48.91% of the variation to be among populations. UPGMA clustering segregated the populations into a single cluster and the identity matrix showed that the population from Jowai was genetically distinct and requires special attention. The study highlighted sufficient levels of genetic variation among the populations of this region which should be conserved. Information obtained from this study can be useful in setting up proper management strategies for the conservation of P. kesiya forest in Northeast India.

2018 ◽  
Vol 67 (1) ◽  
pp. 99-105 ◽  
Author(s):  
Kirti Chamling Rai ◽  
H. S. Ginwal

Abstract Pinus kesiya (Khasi pine) is the principal pine species in northeast India having high commercial value. Chloroplast microsatellites (cpSSR) were used to study the genetic diversity and population genetic structure of 10 populations of P. kesiya covering entire natural range of distribution in India. A total of 33 primer pairs (cpSSRs) of P. thunberghii and P. sylvestris were tested in P. kesiya for their transferability, out of which 18 chlo­roplast primers showed positive amplification and 10 were found polymorphic. A total of 250 individuals from 10 different populations were genotyped using the selected 10 cpSSRs. When alleles at each of the 10 loci were jointly analysed a total of 36 size variants were discovered, which combined to desig­nate 90 haplotypes among 250 individuals. None of the haplo­type was found common among the populations as they were population specific. The cpSSR indicated that P. kesiya popula­tions have maintained a moderately high genetic diversity (HT=0.638) which is typical in most coniferous species. Howe­ver, the inter-population genetic diversity was higher than the intra population diversity and the genetic differentiation bet­ween populations was also found to be very high (FST=0.47). A Bayesian cluster analysis separated the populations into six clusters where most of the individuals were found in single population clusters with minor admixtures. The distribution of genetic diversity and sub structuring of P. kesiya reflect week pollen mediated gene flow due to geographic isolation and genetic drift. The study has revealed useful cpSSR markers for P. kesiya, which were lacking earlier and also added an insight into the state of Khasi pine forest in the region, which can be useful for the better management and future conservation programs.


2011 ◽  
Vol 35 (7) ◽  
pp. 3063-3070 ◽  
Author(s):  
Shrawan Kumar ◽  
Suman Kumaria ◽  
Santosh Kumar Sharma ◽  
Satyawada Rama Rao ◽  
Pramod Tandon

Genetika ◽  
2020 ◽  
Vol 52 (1) ◽  
pp. 311-322
Author(s):  
Özge Kurd ◽  
Ersin Doğaç ◽  
Vatan Taşkin ◽  
Belgin Göçmen-Taşkin

The Mediterranean fruit fly, Ceratitis capitata, is a serious pest of agricultural resources. Despite its economic importance, the population genetic structure of this species is still poorly investigated at micro-geographical level, especially from eastern Mediterranean basin. Knowledge about the genetic structure of C. capitata populations is a necessary requisite for understanding population history of the species and designing successful regional eradication programs. In the current study, the inter-simple sequences repeat (ISSR) markers were employed to assess the genetic diversity and population structure of seven natural populations of C. capitata that were collected from different regions of Turkey. Low to moderate levels of genetic diversity were observed. The estimated values for gene flow (Nm) and coefficient of genetic differentiation among populations (GST) were 3.07 and 0.14, respectively. The results of Principle Component Analysis (PCoA) and Unweighted Pair Group Arithmetic Mean Analysis (UPGMA) tend to be uniform in whole, the Antalya populations was clearly separated from the rest. Local environmental conditions, such as differences in pest control management strategies, agricultural practices, microclimates and human mediated transportations might be important factors in shaping the genetic structure of this species in Antalya. This paper provides useful data for understanding population genetic structure of C. capitata populations in eastern Mediterranean basin and development of effective regional pest management strategies.


2018 ◽  
Vol 5 (3) ◽  
Author(s):  
Ratu Siti Aliah

An evaluation of the Black Tiger Brood Stock (Penaeus monodon) genetic diversity of Pangandaran and Binuangeun was conducted by using the mtDNA diversity of two gene locus of CO I and 12S rRNA to understand their population genetic diversity. The result show that the brood stock of Pangandaran has 17 haplotipe, while from Binuangeun has 13 haplotipe. The result indicated that the genetic diversity of the Balck Tiger brood stock of Pangandaran was higher than thatBinuangeun.Key words : Genetic diversity, Black Tiger brood stock, Pangandaran, Binuangeun


2013 ◽  
Vol 37 (1) ◽  
pp. 26 ◽  
Author(s):  
Yanhong YAO ◽  
Lingfu KONG ◽  
Dengqiang WANG ◽  
Wenhui HE ◽  
Li HE ◽  
...  

1995 ◽  
Vol 85 (1) ◽  
pp. 21-28 ◽  
Author(s):  
Philippe Borsa ◽  
D. Pierre Gingerich

AbstractSeven presumed Mendelian enzyme loci (Est-2, Est-3, Gpi, Idh-l, Idh-2, Mdh-2 and Mpi) were characterized and tested for polymorphism in coffee berry borers, Hypothenemus hampei (Ferrari), sampled in Côte d′Ivoire, Mexico and New Caledonia. The average genetic diversity was H = 0.080. Two loci, Mdh-2 and Mpi were polymorphic, and thus usable as genetic markers. The population structure of H. hampei was analysed using Weir & Cockerham's estimators of Wright's F-statistics. A high degree of inbreeding (f = 0.298) characterized the elementary geographic sampling unit, the coffee field. The estimate of gene flow between fields within a country was Nm = 10.6 and that between countries was Nm = 2. The population genetic structure in H. hampei could be related to its known population biological features and history.


2021 ◽  
pp. 1-11
Author(s):  
Karishma Kashyap ◽  
Rasika M. Bhagwat ◽  
Sofia Banu

Abstract Khasi mandarin (Citrus reticulata Blanco) is a commercial mandarin variety grown in northeast India and one of the 175 Indian food items included in the global first food atlas. The cultivated plantations of Khasi mandarin grown prominently in the lower Brahmaputra valley of Assam, northeast India, have been genetically eroded. The lack in the efforts for conservation of genetic variability in this mandarin variety prompted diversity analysis of Khasi mandarin germplasm across the region. Thus, the study aimed to investigate genetic diversity and partitioning of the genetic variations within and among 92 populations of Khasi mandarin collected from 10 cultivated sites in Kamrup and Kamrup (M) districts of Assam, India, using Inter-Simple Sequence Repeat (ISSR) markers. The amplification of genomic DNA with 17 ISSR primers yielded 216 scorable DNA amplicons of which 177 (81.94%) were polymorphic. The average polymorphism information content was 0.39 per primer. The total genetic diversity (HT = 0.28 ± 0.03) was close to the diversity within the population (HS = 0.20 ± 0.01). A high mean coefficient of gene differentiation (GST = 0.29) reflected a high level of gene flow (Nm = 1.22), indicating high genetic differentiation among the populations. Analysis of Molecular Variance (AMOVA) showed 78% of intra-population differentiation, 21% among the population and 1% among the districts. The obtained results indicate the existence of a high level of genetic diversity in the cultivated Khasi mandarin populations, indicating the need for preservation of each existing population to revive the dying out orchards in northeast India.


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