scholarly journals Genetic Diversity and Population Structure Revealed by SSR Markers on Endemic Species Osmanthus serrulatus Rehder from Southwestern Sichuan Basin, China

Forests ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1365
Author(s):  
Lin Chen ◽  
Tingting Pan ◽  
Huirong Qian ◽  
Min Zhang ◽  
Guodong Yang ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Ssr Markers ◽  
Sichuan Basin ◽  
Polymorphic Information Content ◽  
Population Decline ◽  
Natural Populations ◽  
Genetic Population ◽  
Endangered Status ◽  
High Level

Osmanthus serrulatus Rehder (Oleaceae) is an endemic spring-flowering species in China. It is narrowly distributed in the southwestern Sichuan Basin, and is facing the unprecedented threat of extinction due to problems associated with natural regeneration, habitat fragmentation and persistent and serious human interference. Here, the genetic diversity and population structure of 262 individuals from ten natural populations were analyzed using 18 microsatellites (SSR) markers. In total, 465 alleles were detected across 262 individuals, with a high polymorphic information content (PIC = 0.893). A high level of genetic diversity was inferred from the genetic diversity parameters (He = 0.694, I = 1.492 and PPL = 98.33%). AMOVA showed that a 21.55% genetic variation existed among populations and the mean pairwise Fst (0.215) indicated moderate genetic population differentiation. The ten populations were basically divided into three groups, including two obviously independent groups. Our results indicate that multiple factors were responsible for the complicated genetic relationship and endangered status of O. serrulatus. The concentrated distribution seems to be the key factor causing endangerment, and poor regeneration, human-induced habitat loss and fragmentation seem to be the primary factors in the population decline and further genetic diversity loss. These findings will assist in future conservation management and the scientific breeding of O. serrulatus.

scholarly journals Simple Sequence Repeat Marker Analysis of Genetic Diversity among Progeny of a Biparental Mapping Population of Sweetpotato

HortScience ◽  
2015 ◽  
Vol 50 (8) ◽  
pp. 1143-1147 ◽  
Author(s):  
Benard Yada ◽  
Gina Brown-Guedira ◽  
Agnes Alajo ◽  
Gorrettie N. Ssemakula ◽  
Robert O.M. Mwanga ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Linkage Analysis ◽  
Ssr Markers ◽  
Simple Sequence Repeat ◽  
Polymorphic Information Content ◽  
Genetic Distances ◽  
Sequence Repeat ◽  
Population Improvement ◽  
High Level ◽  
Simple Sequence

Genetic diversity is critical in sweetpotato improvement as it is the source of genes for desired genetic gains. Knowledge of the level of genetic diversity in a segregating family contributes to our understanding of the genetic diversity present in crosses and helps breeders to make selections for population improvement and cultivar release. Simple sequence repeat (SSR) markers have become widely used markers for diversity and linkage analysis in plants. In this study, we screened 405 sweetpotato SSR markers for polymorphism on the parents and progeny of a biparental cross of New Kawogo × Beauregard cultivars. Thereafter, we used the informative markers to analyze the diversity in this population. A total of 250 markers were polymorphic on the parents and selected progeny; of these, 133 were informative and used for diversity analysis. The polymorphic information content (PIC) values of the 133 markers ranged from 0.1 to 0.9 with an average of 0.7, an indication of high level of informativeness. The pairwise genetic distances among the progeny and parents ranged from 0.2 to 0.9, and they were grouped into five main clusters. The 133 SSR primers were informative and are recommended for use in sweetpotato diversity and linkage analysis.

scholarly journals Genetic Diversity and Population Structure of Endangered Catfish Rita rita (Hamilton, 1822) Revealed by Heterologous DNA Microsatellite Markers

2021 ◽  
Vol 34 (2) ◽  
Author(s):  
MUHAMMAD FORHAD ALI ◽  
◽  
MD. RAFIQUL ISLAM SARDER ◽  
MOHAMMAD MATIUR RAHMAN ◽  
MD. FAZLUL AWAL MOLLAH ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Gene Diversity ◽  
Polymorphic Information Content ◽  
Genetic Difference ◽  
Information Index ◽  
Hardy Weinberg Equilibrium ◽  
High Gene ◽  
High Level ◽  
Dna Microsatellite

Genetic information is essential for conservation and future aquaculture development of the endangered catfish Rita rita (Hamilton, 1822). Two hundred catfish, R. rita, 50 from four rivers, the Old Brahmaputra, Jamuna, Meghna and Kangsa were collected and analysed to evaluate the genetic diversity and population structure using five microsatellite primers (Cba06-KUL, Cba08-KUL, Cba09-KUL, Phy03-KUL and Phy07-KUL). Four of the five amplified loci were found polymorphic (P95) in all the populations and 46 alleles were recorded with 9 to 14 alleles per locus. Differences were observed in the total number of alleles ranging from 41 to 44, effective number of alleles from 29.96 to 37.46, observed heterozygosity from 0.57 to 0.76, Shannon’s information index from 2.09 to 2.30 and polymorphic information content from 0.84 to 0.88 among the four populations. Results exposed the highest levels of genetic diversity in the Meghna population while the lowest in the Kangsa population of R. rita. All the populations were significantly deviated (P < 0.001) from the Hardy-Weinberg equilibrium for all the loci. Nei’s genetic distance between populations ranged 0.007 to 0.017 with low overall genetic difference FST = 0.011 and high gene flow Nm = 24.333, indicating that R. rita populations were not subdivided. This study revealed a high level of gene diversity with deficiency in genetic heterogeneity in all the populations of R. rita, emphasising natural management, conservation and rehabilitation measures of this species.

scholarly journals Chloroplast microsatellites reveal genetic diversity and population structure in natural populations of Himalayan Cedar (Cedrus deodara (Roxb.) G. Don) in India

2020 ◽  
Vol 69 (1) ◽  
pp. 86-93
Author(s):  
H. S. Ginwal ◽  
Rajesh Sharma ◽  
Priti Chauhan ◽  
Kirti Chamling Rai ◽  
Santan Barthwal
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Natural Populations ◽  
Conservation Strategies ◽  
Restricted Gene Flow ◽  
Chloroplast Microsatellites ◽  
Timber Species ◽  
Western Himalayas ◽  
Cedrus Deodara ◽  
High Level

AbstractHimalayan cedar (Cedrus deodara) is one of the most important temperate timber species of Western Himalayas and is considered to be among the endangered conifer species in the region. Knowledge of genetic diversity and population structure will help guide gene conservation strategies for this species. Ten polymorphic chloroplast microsatellites (cpSSR) were used to study genetic diversity and population structure in twenty one natural populations of C. deodara throughout its entire distribution range in Western Himalayas. When alleles at each of the 10 loci were jointly analysed, 254 different haplotypes were identified among 1050 individuals. The cpSSRs indicate that C. deodara forests maintain a moderately high level of genetic diversity (mean h = 0.79 ). AMOVA analysis showed that most of the diversity in C. deodara occurs within populations. Bayesian analysis for population structure (BAPS) revealed spatial structuration of the variation (22 % of the total variation) and substructuring captured nineteen genetic clusters in the entire divisions of the populations. Most of the populations were clustered independently with minor admixtures. The distribution of genetic diversity and sub-structuring of C. deodara may be due to restricted gene flow due to geographic isolation, genetic drift, and natural selection. These findings indicated existence of genetically distinct and different high diversity and low diversity clusters, which are potential groups of populations that require attention for their conservation and management. The results are interpreted in context of future conservation plans for C. deodara.

Assessment of the genetic diversity and population structure of apricot (Prunus armeniaca L.) germplasm of the Northwestern Himalaya using SSR markers

2021 ◽  
pp. 1-10
Author(s):  
Aijaz A. Wani ◽  
Khalid Hussain ◽  
Showkat A. Zargar ◽  
Faizan Ahmad ◽  
Reetika Mahajan ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Ssr Markers ◽  
Geographical Location ◽  
Prunus Armeniaca ◽  
Resolving Power ◽  
Diversity Assessment ◽  
Prunus Armeniaca L ◽  
Genetic Pool ◽  
High Level

Abstract Apricot is considered an ecologically and economically important tree species of the stone-fruit crops that is widely grown in temperate regions of the world. Very few studies on apricot genetic diversity assessment have been carried out from the regions of Kashmir and Ladakh. In this backdrop, the present study was carried out to analyse the genetic diversity and population structure of 120 apricot genotypes collected from both the regions using 21 SSR markers. A total of 52 alleles were amplified with average values of marker index (MI) = 0.7084, resolving power (RP) = 2.8690, polymorphism information content (PIC) = 0.3132, Na = 2.317, Ne = 1.720, I = 0.572, Ho = 0.284, He = 0.360 and an average polymorphism of 91.2% per assay indicating high level of genetic diversity. The neighbour-joining (NJ) dendrogram generated three main clusters among selected apricot genotypes independent of their geographical locations. Interestingly, the result of the dendrogram coincides with the results of structure analysis which showed that the 120 apricot genotypes could be assigned to three (K = 3) sub-populations and the grouping of genotypes did not follow their geographical location suggesting that they share the same genetic pool. Moreover, analysis of molecular variance showed that 73% of the variation was attributed to differences within the individuals, 25% among individuals while only 2% of the variation was observed among the populations. The present study represents the most comprehensive analysis of the genetic diversity and population structure of apricot genotypes in Kashmir and Ladakh regions of India.

scholarly journals Development of EST-SSR markers and association mapping with floral traits in Syringa oblata

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Yunyao Yang ◽  
Ruiqing He ◽  
Jian Zheng ◽  
Zenghui Hu ◽  
Jing Wu ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Ssr Markers ◽  
Genetic Architecture ◽  
Genetic Research ◽  
Mixed Linear Model ◽  
Floral Traits ◽  
Dominant Type ◽  
High Level ◽  
Nucleotide Repeats

Abstract Background Lilac (Syringa oblata) is an important woody plant with high ornamental value. However, very limited genetic marker resources are currently available, and little is known about the genetic architecture of important ornamental traits for S. oblata, which is hindering its genetic studies. Therefore, it is of great significance to develop effective molecular markers and understand the genetic architecture of complex floral traits for the genetic research of S. oblata. Results In this study, a total of 10,988 SSRs were obtained from 9864 unigene sequences with an average of one SSR per 8.13 kb, of which di-nucleotide repeats were the dominant type (32.86%, 3611). A set of 2042 primer pairs were validated, out of which 932 (45.7%) exhibited successful amplifications, and 248 (12.1%) were polymorphic in eight S. oblata individuals. In addition, 30 polymorphic EST-SSR markers were further used to assess the genetic diversity and the population structure of 192 cultivated S. oblata individuals. Two hundred thirty-four alleles were detected, and the PIC values ranged from 0.23 to 0.88 with an average of 0.51, indicating a high level of genetic diversity within this cultivated population. The analysis of population structure showed two major subgroups in the association population. Finally, 20 significant associations were identified involving 17 markers with nine floral traits using the mixed linear model. Moreover, marker SO104, SO695 and SO790 had significant relationship with more than one trait. Conclusion The results showed newly developed markers were valuable resource and provided powerful tools for genetic breeding of lilac. Beyond that, our study could serve an efficient foundation for further facilitate genetic improvement of floral traits for lilac.

scholarly journals Development of EST-SSR Markers and Association Mapping with Floral Traits in Syringa oblata

2020 ◽  
Author(s):  
Yunyao Yang ◽  
Ruiqing He ◽  
Jian Zheng ◽  
Zenghui Hu ◽  
Jing Wu ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Ssr Markers ◽  
Genetic Architecture ◽  
Genetic Research ◽  
Mixed Linear Model ◽  
Floral Traits ◽  
Dominant Type ◽  
High Level ◽  
Nucleotide Repeats

Abstract Background: Lilac (Syringa oblata) is an important woody plant with high ornamental value. However, very limited genetic marker resources are currently available, and little is known about the genetic architecture of important ornamental traits for S. oblata, which is hindering its genetic studies. Therefore, it is of great significance to develop effective molecular markers and understand the genetic architecture of complex floral traits for the genetic research of S. oblata.Results: In this study, a total of 10,988 SSRs were obtained from 9,864 unigene sequences with an average of one SSR per 8.13 kb, of which di-nucleotide repeats were the dominant type (32.86%, 3,611). A set of 2,042 primer pairs were validated, out of which 932 (45.7%) exhibited successful amplifications, and 248 (12.1%) were polymorphic in eight S. oblata individuals. In addition, 30 polymorphic EST-SSR markers were further used to assess the genetic diversity and the population structure of 192 cultivated S. oblata individuals. 234 alleles were detected, and the PIC values ranged from 0.23 to 0.88 with an average of 0.51, indicating a high level of genetic diversity within this cultivated population. The analysis of population structure showed two major subgroups in the association population. Finally, 20 significant associations were identified involving 17 markers with nine floral traits using the mixed linear model. Moreover, marker SO104, SO695 and SO790 had significant relationship with more than one trait.Conclusion: The results showed newly developed markers were valuable resource and provided powerful tools for genetic breeding of lilac. Beyond that, our study could serve an efficient foundation for further facilitate genetic improvement of floral traits for lilac.

scholarly journals Genetic variability and population structure of Ethiopian chickpea (Cicer arietinum L.) germplasm

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0260651
Author(s):  
Sintayehu Admas ◽  
Kassahun Tesfaye ◽  
Teklehaimanot Haileselassie ◽  
Eleni Shiferaw ◽  
K. Colton Flynn
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Ssr Markers ◽  
Polymorphic Information Content ◽  
Germplasm Conservation ◽  
Genetic Distances ◽  
Geographic Region ◽  
Ex Situ ◽  
Conservation Strategies ◽  
Breeding Programs

Evaluation of the genetic diversity and an understanding of the genetic structure and relationships of chickpea genotypes are valuable to design efficient germplasm conservation strategies and crop breeding programs. Information is limited, in these regards, for Ethiopian chickpea germplasms. Therefore, the present study was carried out to estimate the genetic diversity, population structure, and relationships of 152 chickpea genotypes using simple sequence repeats (SSR) markers. Twenty three SSR markers exhibited polymorphism producing a total of 133 alleles, with a mean of 5.8 alleles per locus. Analyses utilizing various genetic-based statistics included pairwise population Nei’s genetic distance, heterozygosity, Shannon’s information index, polymorphic information content, and percent polymorphism. These analyses exemplified the existence of high genetic variation within and among chickpea genotypes. The 152 genotypes were divided into two major clusters based on Nei’s genetic distances. The exotic genotypes were grouped in one cluster exclusively showing that these genotypes are distinct to Ethiopian genotypes, while the patterns of clustering of Ethiopian chickpea genotypes based on their geographic region were not consistent because of the seed exchange across regions. Model-based population structure clustering identified two discrete populations. These finding provides useful insight for chickpea collections and ex-situ conservation and national breeding programs for widening the genetic base of chickpea.

scholarly journals Development of EST-SSR Markers and Association Mapping with Floral Traits in Syringa oblata

2020 ◽  
Author(s):  
Yunyao Yang ◽  
Ruiqing He ◽  
Jian Zheng ◽  
Zenghui Hu ◽  
Jing Wu ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Ssr Markers ◽  
Genetic Architecture ◽  
Genetic Research ◽  
Mixed Linear Model ◽  
Floral Traits ◽  
Dominant Type ◽  
High Level ◽  
Nucleotide Repeats

Abstract Background Syringa oblata is an important woody plant with high ornamental value. However, very limited genetic marker resources are currently available, and little is known about the genetic architecture of important ornamental traits for S. oblata , which is hindering its genetic studies. Therefore, it is of great significance to develop effective molecular markers and understand the genetic architecture of complex floral traits for the genetic research of S. oblata . Results In this study, a total of 10,988 SSRs were obtained from 9,864 unigene sequences with an average of one SSR per 8.13 kb, of which di-nucleotide repeats were the dominant type (32.86%, 3,611). A set of 2,042 primer pairs were validated, out of which 932 (45.7%) exhibited successful amplifications, and 248 (12.1%) were polymorphic in eight S. oblata individuals. In addition, 30 polymorphic EST-SSR markers were further used to assess the genetic diversity and the population structure of 192 cultivated S. oblata individuals. 234 alleles were detected, and the PIC values ranged from 0.23 to 0.88 with an average of 0.51, indicating a high level of genetic diversity within this cultivated population. The analysis of population structure showed two major subgroups in the association population. Finally, 20 significant associations were identified involving 17 markers with 9 floral traits using the mixed linear model. Moreover, marker SO104, SO695 and SO790 had significant relationship with more than one trait. Conclusion The results showed newly developed markers were valuable resource and provided powerful tools for genetic breeding of lilac. Beyond that, our study could serve an efficient foundation for further facilitate genetic improvement of floral traits for lilac.

scholarly journals Genetic Diversity and Population Structure of Japanese Plum-Type (Hybrids of P. salicina) Accessions Assessed by SSR Markers

Agronomy ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1748
Author(s):  
Brenda I. Guerrero ◽  
M. Engracia Guerra ◽  
Sara Herrera ◽  
Patricia Irisarri ◽  
Ana Pina ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Ssr Markers ◽  
Group Method ◽  
Japanese Plum ◽  
Pair Group ◽  
Prunus Salicina ◽  
Wide Range ◽  
High Level ◽  
Informative Content

Japanese plum (Prunus salicina Lindl.) is widely distributed in temperate zones across the world. Since its introduction to USA in the late 19th century, this species has been hybridized with up to 15 different diploid Prunus species. This high level of introgression has resulted in a wide range of traits and agronomic behaviors among currently grown cultivars. In this work, 161 Japanese plum-type accessions were genotyped using a set of eight Simple Sequence Repeats (SSR) markers to assess the current genetic diversity and population structure. A total of 104 alleles were detected, with an average of 13 alleles per locus. The overall Polymorphic Informative Content (PIC) value of SSR markers was 0.75, which indicates that these SSR markers are highly polymorphic. The Unweighted Pair Group Method with Arithmetic (UPGMA) dendrogram and the seven groups inferred by Discriminant Analysis of Principal Components (DAPC) revealed a strong correlation of the population structure to the parentage background of the accessions, supported by a moderate but highly significant genetic differentiation. The results reported herein provide useful information for breeders and for the preservation of germplasm resources.

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