Revelation of genetic diversity and structure of wild Elymus excelsus (Poaceae: Triticeae) collection from western China by SSR markers

Hosting unique and important plant germplasms, the Qinghai-Tibet Plateau (QTP), as the third pole of the world, and Xinjiang, located in the centre of the Eurasian continent, are major distribution areas of perennial Triticeae grasses, especially the widespread Elymus species. Elymus excelsus Turcz. ex Griseb, a perennial forage grass with strong tolerance to environmental stresses, such as drought, cold and soil impoverishment, can be appropriately used for grassland establishment due to its high seed production. To provide basic information for collection, breeding strategies and utilization of E. excelsus germplasm, microsatellite markers (SSR) were employed in the present study to determine the genetic variation and population structure of 25 wild accessions of E. excelsus from Xinjiang (XJC) and the QTP, including Sichuan (SCC) and Gansu (GSC) of western China. Based on the 159 polymorphic bands amplified by 35 primer pairs developed from three related species, the average values of the polymorphic information content (PIC), marker index (MI), resolving power (Rp), Nei’s genetic diversity (H) and Shannon’s diversity index (I) of each pair of primers were 0.289, 1.348, 1.897, 0.301 and 0.459, respectively, validating that these SSR markers can also be used for the evaluation of genetic diversity of E. excelsus germplasms, and demonstrating the superior versatility of EST-SSR vs. G-SSR. We found a relatively moderate differentiation (Fst = 0.151) among the XJC, SCC and GSC geo-groups, and it is worth noting that, the intra-group genetic diversity of the SCC group (He = 0.197) was greater than that of the GSC (He = 0.176) and XJC (He = 0.148) groups. Both the Unweighted Pair Group Method with Arithmetic (UPGMA) clustering and principal coordinates analysis (PCoA) divided the 25 accessions into three groups, whereas the Bayesian STRUCTURE analysis suggested that E. excelsus accessions fell into four main clusters. Besides, this study suggested that geographical distance and environmental variables (annual mean precipitation and average precipitation in growing seasons), especially for QTP accessions, should be combined to explain the population genetic differentiation among the divergent geographical regions. These data provided comprehensive information about these valuable E. excelsus germplasm resources for the protection and collection of germplasms and for breeding strategies in areas of Xinjiang and QTP in western China.

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Genetic diversity and structure of the threatened anti-cancerous plantNothapodytes nimmonianaas revealed by ISSR analysis

Plant Genetic Resources ◽

10.1017/s1479262111000803 ◽

2011 ◽

Vol 9 (4) ◽

pp. 506-514 ◽

Cited By ~ 3

Author(s):

V. K. Abdul Kareem ◽

P. E. Rajasekharan ◽

S. Mini ◽

T. Vasantha Kumar

Keyword(s):

Genetic Diversity ◽

Genetic Differentiation ◽

Population Genetic ◽

Gene Diversity ◽

Species Level ◽

Conservation Strategy ◽

Group Method ◽

Population Genetic Differentiation ◽

Genetic Diversity And Structure ◽

Western Ghats Of India

Inter simple sequence repeat markers were used to assess the genetic diversity and population genetic structure in 12 populations ofNothapodytes nimmonianafrom Western Ghats of India. A total of 16 selected primers produced 103 discernible bands, with 76 (73.7%) being polymorphic. The Nei's gene diversity (h) ranged from 0.1166 to 0.2124, with an average of 0.1518 at the population level and 0.2965 at the species level indicating high genetic diversity. The Shannon's index (I) was estimated to be 0.2189 within populations (range 0.1703–0.2947) and 0.4352 at the species level. The analysis of molecular variance showed that the genetic variation was found mainly within populations (73%), but variance among populations was only 27% and its value, ΦPT = 0.271,P < 0.001, implied that high genetic differentiation among populations. In addition, Nei's differentiation coefficient (GST) was found to be high (0.4882) and the gene flow (Nm) was low (0.5242), confirming the high population genetic differentiation. The unweighted pair-group method using arithmetic average clustering elicited similar results. Based on this, we propose conservation strategy for this plant species.

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Genetic Diversity and Relationships of Terebinth (Pistacia terebinthus L.) Genotypes Growing Wild in Turkey

Agronomy ◽

10.3390/agronomy11040671 ◽

2021 ◽

Vol 11 (4) ◽

pp. 671

Author(s):

Murat Guney ◽

Salih Kafkas ◽

Mozhgan Zarifikhosroshahi ◽

Muhammet Ali Gundesli ◽

Sezai Ercisli ◽

...

Keyword(s):

Genetic Diversity ◽

Ssr Markers ◽

In Silico ◽

Germplasm Collection ◽

Genetic Distances ◽

Group Method ◽

Arithmetic Average ◽

Principal Coordinates ◽

Two Samples ◽

Pistacia Terebinthus

Genetic diversity and relationships of 54 wild-grown terebinths (Pistacia terebinthus L.) were determined using 40 SSR (simple sequence repeat) markers (38 in silico polymorphic SSR markers and 2 SSR markers). In silico polymorphic SSR analysis, 430 alleles were identified. The number of alleles per locus ranged from 3 to 25 with a mean value of 11 alleles per locus. The values of polymorphism information content (PIC) ranged from 0.34 (CUPOhBa4344) to 0.91 (CUPSiBa4072) with a mean PIC value of 0.68. Genetic distances were estimated according to the UPGMA (Unweighted Pair Group Method with Arithmetic Average), the Structure, and Principal Coordinates (PCoA) based clustering. The structure analysis and UPGMA clustering of the genotypes depicted two major clusters. PCoA results supported cluster analysis results. The dendrogram revealed two major clusters. Forty-two samples were obtained from the Kazankaya canyon and 12 samples from the Karanlıkdere region. The two regions are 130 km apart from each other but in a dendrogram, we did not find geographical isolation. The results proved the efficiency of SSRs for genetic diversity analysis in the terebinth. Based on the results, SSRs can be applied as a trustworthy tool for the evaluation of genetic diversity in terebinth genotypes. Molecular analysis on the terebinth genotypes in this study will promote the germplasm collection and the selection of the populations in future studies on terebinths for genetic mapping, genetic diversity, germplasm characterization, and rootstock breeding.

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Genetic Structure and Eco-Geographical Differentiation of Wild Sheep Fescue (Festuca ovina L.) in Xinjiang, Northwest China

10.20944/preprints201707.0047.v1 ◽

2017 ◽

Author(s):

Chenglin Zhang ◽

Jianbo Zhang ◽

Yan Fan ◽

Ming Sun ◽

Wendan Wu ◽

...

Keyword(s):

Genetic Diversity ◽

Gene Flow ◽

Abiotic Factors ◽

Northwest China ◽

Group Method ◽

Principal Coordinates Analysis ◽

High Genetic Diversity ◽

Festuca Ovina ◽

Principal Coordinates ◽

Genetic Diversity And Structure

Glaciation and mountain orogeny have generated new ecologic opportunities for plants, favoring an increase in the speciation rate. Moreover, they also act as corridors or barriers for plant lineages and populations. High genetic diversity ensures that species are able to survive and adapt. Gene flow is one of the most important determinants of the genetic diversity and structure of out-crossed species, and it is easily affected by biotic and abiotic factors. The aim of this study was to characterize the genetic diversity and structure of an alpine species, Festuca ovina L., in Xingjiang, China. A total of 100 individuals from 10 populations were analyzed using six amplified fragment length polymorphism (AFLP) primer pairs. A total of 583 clear bands were generated, of which 392 were polymorphic; thus, the percentage of polymorphic bands (PPB) was 67.24%. The total and average genetic diversities were 0.2722 and 0.2006 (0.1686-0.2225), respectively. The unweighted group method with arithmetic mean (UPGMA) tree, principal coordinates analysis (PCoA) and STRUCTURE analyses revealed that these populations or individuals could be clustered into two groups. The analysis of molecular variance analysis (AMOVA) suggested that most of the genetic variance existed within a population, and the genetic differentiation (Fst) among populations was 20.71%. The Shannon differentiation coefficient (G’st) among populations was 0.2350. Limited gene flow (Nm = 0.9571) was detected across all sampling sites. The Fst and Nm presented at different levels under the genetic barriers due to fragmentation. The population genetic diversity was significant relative to environmental factors such as temperature, altitude and precipitation.

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Genetic Diversity Among Some Walnut (Juglans regia L.) Genotypes by SSR Markers

Sustainability ◽

10.3390/su13126830 ◽

2021 ◽

Vol 13 (12) ◽

pp. 6830

Author(s):

Murat Guney ◽

Salih Kafkas ◽

Hakan Keles ◽

Mozhgan Zarifikhosroshahi ◽

Muhammet Ali Gundesli ◽

...

Keyword(s):

Genetic Diversity ◽

Plant Genetic Resources ◽

Juglans Regia ◽

Genetic Distances ◽

Mean Value ◽

Central Anatolia ◽

Group Method ◽

Arithmetic Average ◽

Pair Group ◽

Principal Coordinates

The food needs for increasing population, climatic changes, urbanization and industrialization, along with the destruction of forests, are the main challenges of modern life. Therefore, it is very important to evaluate plant genetic resources in order to cope with these problems. Therefore, in this study, a set of ninety-one walnut (Juglans regia L.) accessions from Central Anatolia region, composed of seventy-four accessions and eight commercial cultivars from Turkey, and nine international reference cultivars, was analyzed using 45 SSR (Simple Sequence Repeats) markers to reveal the genetic diversity. SSR analysis identified 390 alleles for 91 accessions. The number of alleles per locus ranged from 3 to 19 alleles with a mean value of 9 alleles per locus. Genetic dissimilarity coefficients ranged from 0.03 to 0.68. The highest number of alleles was obtained from CUJRA212 locus (Na = 19). The values of polymorphism information content (PIC) ranged from 0.42 (JRHR222528) to 0.86 (CUJRA212) with a mean PIC value of 0.68. Genetic distances were estimated according to the UPGMA (Unweighted Pair Group Method with Arithmetic Average), Principal Coordinates (PCoA), and the Structure-based clustering. The UPGMA and Structure clustering of the accessions depicted five major clusters supporting the PCoA results. The dendrogram revealed the similarities and dissimilarities among the accessions by identifying five major clusters. Based on this study, SSR analyses indicate that Yozgat province has an important genetic diversity pool and rich genetic variance of walnuts.

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Assessment of the Genetic Diversity of Rice Germplasms Characterized by Black-Purple and Red Pericarp Color Using Simple Sequence Repeat Markers

Plants ◽

10.3390/plants8110471 ◽

2019 ◽

Vol 8 (11) ◽

pp. 471

Author(s):

Jae-Ryoung Park ◽

Won-Tae Yang ◽

Yong-Sham Kwon ◽

Hyeon-Nam Kim ◽

Kyung-Min Kim ◽

...

Keyword(s):

Genetic Diversity ◽

Ssr Markers ◽

Simple Sequence Repeat ◽

Germplasm Collection ◽

Group Method ◽

Sequence Repeat ◽

Rice Varieties ◽

Red Pericarp ◽

Simple Sequence ◽

Colored Rice

The assessment of the genetic diversity within germplasm collections can be accomplished using simple sequence repeat (SSR) markers and association mapping techniques. The present study was conducted to evaluate the genetic diversity of a colored rice germplasm collection containing 376 black-purple rice samples and 172 red pericarp samples, conserved by Dong-A University. There were 600 pairs of SSR primers screened against 11 rice varieties. Sixteen informative primer pairs were selected, having high polymorphism information content (PIC) values, which were then used to assess the genetic diversity within the collection. A total of 409 polymorphic amplified fragments were obtained using the 16 SSR markers. The number of alleles per locus ranged from 11 to 47, with an average of 25.6. The average PIC value was 0.913, ranging from 0.855 to 0.964. Four hundred and nine SSR loci were used to calculate Jaccard’s distance coefficients, using the unweighted pair-group method with arithmetic mean cluster analysis. These accessions were separated into several distinctive groups corresponding to their morphology. The results provided valuable information for the colored rice breeding program and showed the importance of protecting germplasm resources and the molecular markers that can be derived from them.

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Genetic Structure and Diversity among Species of Salacia: An Endangered Medicinal Herb of Western Ghats, India

South Asian Journal of Experimental Biology ◽

10.38150/sajeb.9(1).p23-33 ◽

2019 ◽

Vol 9 (1) ◽

pp. 23-33

Author(s):

Chandrashekhar G Patil ◽

Sheetal Ganapati Kamat ◽

R Vasudeva

Keyword(s):

Genetic Diversity ◽

Southern China ◽

Issr Marker ◽

Group Method ◽

Population Genetic Differentiation ◽

Expected Heterozygosity ◽

Marker Analysis ◽

Endangered Medicinal Herb ◽

High Level ◽

Genetic Structure And Diversity

Salacia is one of the medicinally valuable genus, distributed throughout tropical areas which include India, Sri Lanka, Southern China and other Southern Asian Countries. The genus Salacia is represented by 21 species in India, among them eight species are recorded from the state of Karnataka in the Southern part of India. Despite its pharmaceutical importance, very little information exists about the genetic diversity of Salacia at molecular level. Hence the present study was carried out to evaluate the genetic among six species of Salacia namely S. chinensis, S. malabarica, S. oblonga, S. macrosperma, S. reticulata and S. gambleana with the help of ISSR marker analysis. Dendrogram and genetic distance were generated adopting Unweighted Paired Group Method with Arithmetic mean (UPGMA) in the NTSYS-pc software. Basic genetic parameters were calculated by analysing the genetic data with Pop gene 1.32 and GenAlEx 6.2 software. The overall polymorphism across the ten primers screened revealed 26 % polymorphism. A 60% polymorphism was scored for the primer UBC 841, whereas, no polymorphism was observed for primer UBC 840 and ISSR 6. The average observed heterozygosity was more than expected heterozygosity. Observed heterozygosity (Ho) ranged from 0.15 (UBC 841) to 0.38 (ISSR 6) with an average of 0.25, whereas expected heterozygosity (He) ranged from 0.10 (UBC 843) to 0.35 (ISSR 6) with an average of 0.23 for Salacia species. The higher heterozygosity pointed towards increased genetic diversity amongst the species. ISSR marker analysis showed high level of inter and intra population genetic differentiation.

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Cross Species/Genera Transferability of SSR Markers, Genetic Diversity and Population Structure Analysis in Gladiolus (Gladiolus × grandiflorus L.) Genotypes

10.21203/rs.3.rs-673512/v1 ◽

2021 ◽

Author(s):

Varun Hiremath ◽

Kanwar Pal Singh ◽

Neelu Jain ◽

Kishan Swaroop ◽

Pradeep Kumar Jain ◽

...

Keyword(s):

Genetic Diversity ◽

Population Structure ◽

Ssr Markers ◽

Structure Analysis ◽

Genetic Relationships ◽

Crop Improvement ◽

Test Analysis ◽

Average Value ◽

Population Structure Analysis ◽

Genetic Diversity And Structure

Abstract Genetic diversity and structure analysis using molecular markers is necessary for efficient utilization and sustainable management of gladiolus germplasm. Genetic analysis of gladiolus germplasm using SSR markers is largely missing due to scarce genomic information. In the present investigation, we report 66.66% cross transferability of Gladiolus palustris SSRs whereas 48% of Iris EST-SSRs were cross transferable across the gladiolus genotypes used in the study. A total of 17 highly polymorphic SSRs revealed a total 58 polymorphic loci ranging from two to six in each locus with an average of 3.41 alleles per marker. PIC values ranged from 0.11 to 0.71 with an average value of 0.48. Four SSRs were selectively neutral based on Ewens-Watterson test. Analysis of genetic structure of 84 gladiolus genotypes divided whole germplasm into two subpopulations. 35 genotypes were assigned to subpopulation 1 whereas 37 to subpopulation 2 and rest of the genotypes recorded as admixture. Analysis of molecular variance indicated maximum variance (53.59%) among individuals within subpopulations whereas 36.55% of variation observed among individuals within total population. Least variation (9.86%) was noticed between two subpopulations. Moderate (FST = 0.10) genetic differentiation of two subpopulations was observed. Grouping pattern of population structure was consistent with UPGMA dendrogram based on simple matching dissimilarity coefficient (ranged from 01.6 to 0.89) and PCoA. Genetic relationships assessed among the genotypes of respective clusters assist the breeders in selecting desirable parents for crossing. SSR markers from present study can be utilized for cultivar identification, conservation and sustainable utilization of gladiolus genotypes for crop improvement.

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Molecular Diversity Analysis in Boro Rice (Oryza sativa L.) Landraces using SSR Markers

Asian Journal of Biology ◽

10.9734/ajob/2021/v12i130156 ◽

2021 ◽

pp. 36-48

Author(s):

Farhana Afrin Vabna ◽

Mohammad Zahidul Islam ◽

Md. Ferdous Rezwan Khan Prince ◽

Md. Ekramul Hoque

Keyword(s):

Genetic Diversity ◽

Ssr Markers ◽

Molecular Diversity ◽

Genetic Relationships ◽

Group Method ◽

Diversity Analysis ◽

Average Value ◽

Rice Landraces ◽

Boro Rice ◽

Research Institute

Aims: The aim of the study was to determine the genetic diversity of twenty four Boro rice landraces using rice genome specific twelve well known SSR markers. Study Design: Genomic DNA extraction, PCR amplification, Polyacrylamide gel electrophoresis (PAGE) and data analysis-these steps were followed to perform the research work. Data was analysed with the help of following software; POWERMAKER version 3.25, AlphaEaseFC (Alpha Innotech Corporation) version 4.0. UPGMA dendrogram was constructed using MEGA 5.1 software. Place and Duration of Study: The study was conducted at the Genetic Resources and Seed Division (GRSD), Bangladesh Rice Research Institute (BRRI), Joydebpur, Gazipur, Bangladesh during the period of November 2017 to March 2018. Methodology: Simple Sequence Repeat (SSR) markers were used to assay 24 landraces of Boro rice collected from the Gene Bank of Bangladesh Rice Research Institute (BRRI). Results: A total fifty four (54) alleles were detected, out of which forty five (45) polymorphic alleles were identified. The Polymorphic Information Content (PIC) of SSR markers ranged from 0.08 (RM447) to 0.84 (RM206) with an average value of PIC = 0.49. Gene diversity ranges from 0.08 (RM447) to 0.86 (RM206) with an average value of 0.52. The RM206 marker can be considered as the best marker among the studied markers for 24 rice landraces. Dendrogram based on Nei’s genetic distance using Unweighted Pair Group Method of Arithmetic Mean (UPGMA) indicated the segregation of 24 genotypes into three main clusters. Conclusion: The result revealed that SSR markers are very effective tools in the study of genetic diversity and genetic relationships and this result can be conveniently used for further molecular diversity analysis of rice genotypes to identify diverse parent for the development of high yielding variety in rice.

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Genetic Structure and Eco-Geographical Differentiation of Lancea tibetica in the Qinghai-Tibetan Plateau

Genes ◽

10.3390/genes10020097 ◽

2019 ◽

Vol 10 (2) ◽

pp. 97 ◽

Cited By ~ 2

Author(s):

Xiaofeng Chi ◽

Faqi Zhang ◽

Qingbo Gao ◽

Rui Xing ◽

Shilong Chen

Keyword(s):

Genetic Diversity ◽

Cluster Analysis ◽

Gene Flow ◽

Tibetan Plateau ◽

Environmental Changes ◽

Restricted Gene Flow ◽

Principal Coordinates Analysis ◽

Principal Coordinates ◽

Genetic Diversity And Structure ◽

Tanggula Mountains

The uplift of the Qinghai-Tibetan Plateau (QTP) had a profound impact on the plant speciation rate and genetic diversity. High genetic diversity ensures that species can survive and adapt in the face of geographical and environmental changes. The Tanggula Mountains, located in the central of the QTP, have unique geographical significance. The aim of this study was to investigate the effect of the Tanggula Mountains as a geographical barrier on plant genetic diversity and structure by using Lancea tibetica. A total of 456 individuals from 31 populations were analyzed using eight pairs of microsatellite makers. The total number of alleles was 55 and the number per locus ranged from 3 to 11 with an average of 6.875. The polymorphism information content (PIC) values ranged from 0.2693 to 0.7761 with an average of 0.4378 indicating that the eight microsatellite makers were efficient for distinguishing genotypes. Furthermore, the observed heterozygosity (Ho), the expected heterozygosity (He), and the Shannon information index (I) were 0.5277, 0.4949, and 0.9394, respectively, which indicated a high level of genetic diversity. We detected high genetic differentiation among all sampling sites and restricted gene flow among populations. Bayesian-based cluster analysis (STRUCTURE), principal coordinates analysis (PCoA), and Neighbor-Joining (NJ) cluster analysis based on microsatellite markers grouped the populations into two clusters: the southern branch and the northern branch. The analysis also detected genetic barriers and restricted gene flow between the two groups separated by the Tanggula Mountains. This study indicates that the geographical isolation of the Tanggula Mountains restricted the genetic connection and the distinct niches on the two sides of the mountains increased the intraspecific divergence of the plants.

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