scholarly journals Assessment of Genetic Diversity, Population Structure and Phytochemical Variations in Polygonatum Cirrhifolium (Wall.) Royle - An Endangered Medicinal Herb

Author(s):  
Renu Suyal ◽  
Arun K. Jugran ◽  
Indra D. Bhatt ◽  
Ranbeer S. Rawal

Abstract Polygonatum cirrhifolium is an important medicinal herb of family Asparagaceae used to cure several ailments. Its rhizome forms an important ingredient of “Chyavanprash” which is identified for its rejuvenating properties. However, P.cirrhifolium is least explored scientifically and systematically till date. Therefore, in this study genetic diversity and phytochemical variations along with antimutagenic activity of P.cirrhifolium populations was evaluated. Antimutagenic activity varied remarkably (p<0.05) having Gagar population with significantly (p<0.05) higher DNA recovery (84.95%) percentage. Higher genetic diversity (He) was recorded among populations using RAPD (He, 0.30-0.36) and ISSR (0.25-0.38) markers. High intra and low inter population variations were recorded in the species using both kinds of markers. Phenolics (p<0.05; r=0.924); tannins (p<0.05; r=0.897) and DNA damage inhibition efficiency displayed a highly positive correlation with genetic diversity (estimated using ISSR markers). The population structure analysis of P. cirrhifolium revealed that the greatest value of the K was 3 for studied populations. Gene flow among studied populations was found sufficient to encounter genetic erosion in the species. Therefore, it can be recommended that the populations with higher ingredient and genetic diversity can be utilized for conservation priority and management plan of this species.

2021 ◽  
Author(s):  
Yao Dodzi Dagnon ◽  
Koffi Kibalou Palanga ◽  
Damigou Bammite ◽  
Ghislain Comlan AKABASSI ◽  
Koffi Tozo

Cowpea [ Vigna unguiculata (L.) Walp.] is a crop with significant agronomic and nutritional potential. I is very appreciate by local people. It is the third food habit in Togo after maize and rice. However, several accessions of cowpea cultivated in Togo are now prone to extinction, creating a risk of genetic erosion. It is therefore urgent to assess the genetic diversity of accessions in order to set up a good conservation program. To achieve this, genetic diversity and phylogenetic relationships among 70 accessions of cowpea collected in the five (5) administrative regions of Togo were assessed using Simple Sequence Repeat (SSR) molecular markers. Twenty-eight out of the thirty-two (32) primer pairs screened for polymorphism were polymorphic, and a total of 164 alleles were detected for the 28 loci with an average of 5.82 alleles per locus. Polymorphic Information Content (PIC) values ranged from 0.18 to 0.895, with an average value of 0.67. Population structure analysis using model-based revealed that the cowpea germplasm was grouped into two subpopulations. The analysis of molecular variance (AMOVA) revealed that 85% of genetic variation existed among individuals within regions. The fixation index (Fst) value, which was 0.018, was low, indicating relatively low population differentiation. The Togolese cowpea germplasm collection was grouped into four groups independently of theirs origins. This study provides a foundation for a Togolese cowpea germplasm conservation program and can serve for the selection of parental material for further studies aimed at the genetic improvement of local germplasm.


Hacquetia ◽  
2018 ◽  
Vol 17 (2) ◽  
pp. 235-246 ◽  
Author(s):  
Somayeh Esfandani-Bozchaloyi ◽  
Masoud Sheidai ◽  
Maryam Keshavarzi ◽  
Zahra Noormohammadi

AbstractSpecies identification is fundamentally important within the fields of biology, biogeography, ecology and conservation. The genusGeraniumL. (Geraniaceae) comprises about 430 species distributed throughout most parts of the world. According to the most recent treatments, subg.Geraniumis the largest subgenus with over 370 species classified in ten sections. The subg.Geraniumis represented in Iran by 13 species. These species are grouped 3 sections. In spite vast distribution of manyGeraniumspecies that grow in Iran, there are not any available report on their genetic diversity, mode of divergence and patterns of dispersal.Therefore, we performed molecular (ISSR markers) and morphological studies of 102 accessions from 13 species ofGeranium(subg.Geranium) that were collected from different habitats in Iran. The aims of present study are: 1) can ISSR markers identifyGeraniumspecies, 2) what is the genetic structure of these taxa in Iran, and 3) to investigate the species inter-relationship? The present study revealed that combination of morphological and ISSR data can identify the species.


Agronomy ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 118
Author(s):  
Ljiljana Brbaklić ◽  
Dragana Trkulja ◽  
Sanja Mikić ◽  
Milan Mirosavljević ◽  
Vojislava Momčilović ◽  
...  

Determination of genetic diversity and population structure of breeding material is an important prerequisite for discovering novel and valuable alleles aimed at crop improvement. This study’s main objective was to characterize genetic diversity and population structure of a collection representing a 40-year long historical period of barley (Hordeum vulgare L.) breeding, using microsatellites, pedigree, and phenotypic data. The set of 90 barley genotypes was phenotyped during three growing seasons and genotyped with 338 polymorphic alleles. The indicators of genetic diversity showed differentiation changes throughout the breeding periods. The population structure discriminated the breeding material into three distinctive groups. The principal coordinate analysis grouped the genotypes according to their growth habit and row type. An analysis of phenotypic variance (ANOVA) showed that almost all investigated traits varied significantly between row types, seasons, and breeding periods. A positive effect on yield progress during the 40-year long breeding period could be partly attributed to breeding for shorter plants, which reduced lodging and thus provided higher yield stability. The breeding material revealed a considerable diversity level based on microsatellite and phenotypic data without a tendency of genetic erosion throughout the breeding history and implied dynamic changes in genetic backgrounds, providing a great gene pool suitable for further barley improvement.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Wei Wang ◽  
Chunyan Ma ◽  
Longling Ouyang ◽  
Wei Chen ◽  
Ming Zhao ◽  
...  

AbstractIn order to provide valuable guidelines for the conservation of germplasm of Lateolabrax maculatus, the genetic diversity and population structure analysis were evaluated for eight geographic populations along coastal regions of China, using 11 microsatellite DNA markers. The genetic parameters obtained showed that, eight populations can be clustered into two groups, the Northern group and the Southern group, concordant with their geographical positions. The UPGMA tree constructed according to the Nei’s genetic distance along with the structure analysis and discriminant analysis of principal component also supported this result. This might be explained by the geographic separation and the divergent environmental conditions among the populations. It's worth noting that, QD (Qingdao) population from northern area was assigned to the Southern group and showed a close genetic relationship and similar genetic constitution with the southern populations. We speculated that large scales of anthropogenic transportation of wild fries from QD populations to the southern aquaculture areas in history should be the primary cause. The populations from GY (Ganyu), RD (Rudong) and BH (Binhai) had higher genetic diversity and showed limited genetic exchange with other populations, indicating better conservation of the natural resources in these regions. All populations were indicated to have experienced bottleneck events in history.


2015 ◽  
Vol 120 ◽  
pp. 260-267 ◽  
Author(s):  
Satya Narayan Jena ◽  
Sushma Verma ◽  
Kuttan Narayanan Nair ◽  
Awadhesh Kumar Srivastava ◽  
Sujata Misra ◽  
...  

2014 ◽  
Vol 13 (3) ◽  
pp. 6340-6349 ◽  
Author(s):  
D.X. Chen ◽  
L.Y. Li ◽  
X. Zhang ◽  
Y. Wang ◽  
Z. Zhang

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