Revealing the genetic diversity and population structure in Aegilops crassa and Aegilops cylindrica species using molecular markers and physio-chemical traits

2021 ◽  
Author(s):  
Zahra Daneshvar ◽  
Mansour Omidi ◽  
Alireza Etminan ◽  
Asa Ebrahimi
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Molecular Markers ◽  
Aegilops Cylindrica ◽  
Chemical Traits ◽  
Aegilops Crassa

scholarly journals Molecular diversity analysis in hexaploid wheat (Triticum aestivum L.) and two Aegilops species (Aegilops crassa and Aegilops cylindrica) using CBDP and SCoT markers

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Ghazal Ghobadi ◽  
Alireza Etminan ◽  
Ali Mehras Mehrabi ◽  
Lia Shooshtari
Keyword(s):  
Genetic Diversity ◽  
Triticum Aestivum ◽  
Gene Diversity ◽  
Polymorphic Information Content ◽  
Crop Improvement ◽  
Wild Relatives ◽  
Resolving Power ◽  
Start Codon ◽  
Aegilops Cylindrica ◽  
Aegilops Crassa

Abstract Background Evaluation of genetic diversity and relationships among crop wild relatives is an important task in crop improvement. The main objective of the current study was to estimate molecular variability within the set of 91 samples from Triticum aestivum, Aegilops cylindrica, and Aegilops crassa species using 30 CAAT box–derived polymorphism (CBDP) and start codon targeted (SCoT) markers. Results Fifteen SCoT and Fifteen CBDP primers produced 262 and 298 fragments which all of them were polymorphic, respectively. The number of polymorphic bands (NPB), polymorphic information content (PIC), resolving power (Rp), and marker index (MI) for SCoT primers ranged from 14 to 23, 0.31 to 0.39, 2.55 to 7.49, and 7.56 to 14.46 with an average of 17.47, 0.34, 10.44, and 5.69, respectively, whereas these values for CBDP primers were 15 to 26, 0.28 to 0.36, 3.82 to 6.94, and 4.74 to 7.96 with a mean of 19.87, 0.31, 5.35, and 6.24, respectively. Based on both marker systems, analysis of molecular variance (AMOVA) indicated that the portion of genetic diversity within species was more than among them. In both analyses, the highest values of the number of observed (Na) and effective alleles (Ne), Nei’s gene diversity (He), and Shannon’s information index (I) were estimated for Ae. cylindrica species. Conclusion The results of cluster analysis and population structure showed that SCoT and CBDP markers grouped all samples based on their genomic constitutions. In conclusion, the used markers are very effective techniques for the evaluation of the genetic diversity in wild relatives of wheat.

Genetic diversity and population structure assessment of Chinese Senna obtusifolia L. by molecular markers and morphological traits of seed

2017 ◽  
Vol 40 (1) ◽  
Author(s):  
Renjun Mao ◽  
Pengguo Xia ◽  
Jingling Liu ◽  
Xin Li ◽  
Ruilian Han ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Molecular Markers ◽  
Morphological Traits ◽  
Senna Obtusifolia ◽  
Structure Assessment

Schistosome genetic diversity: the implications of population structure as detected with microsatellite markers

Parasitology ◽  
2002 ◽  
Vol 125 (7) ◽  
pp. S51-S59 ◽  
Author(s):  
J. CURTIS ◽  
R. E. SORENSEN ◽  
D. J. MINCHELLA
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Genetic Variation ◽  
Molecular Markers ◽  
Microsatellite Markers ◽  
Natural Populations ◽  
Mitochondrial Marker ◽  
Tropical Regions ◽  
Blood Flukes

Blood flukes in the genus Schistosoma are important human parasites in tropical regions. A substantial amount of genetic diversity has been described in populations of these parasites using molecular markers. We first consider the extent of genetic variation found in Schistosoma mansoni and some factors that may be contributing to this variation. Recently, though, attempts have been made to analyze not only the genetic diversity but how that diversity is partitioned within natural populations of schistosomes. Studies with non-allelic molecular markers (e.g. RAPDs and mtVNTRs) have indicated that schistosome populations exhibit varying levels of gene flow among component subpopulations. The recent characterization of microsatellite markers for S. mansoni provided an opportunity to study schistosome population structure within a population of schistosomes from a single Brazilian village using allelic markers. Whereas the detection of population structure depends strongly on the type of analysis with a mitochondrial marker, analyses with a set of seven microsatellite loci consistently revealed moderate genetic differentiation when village boroughs were used to define parasite subpopulations and greater subdivision when human hosts defined subpopulations. Finally, we discuss the implications that such strong population structure might have on schistosome epidemiology.

Genetic diversity, population structure and phylogenetic inference among Italian Orchids of the Serapias genus assessed by AFLP molecular markers

2012 ◽  
Vol 298 (9) ◽  
pp. 1701-1710 ◽  
Author(s):  
Maria Luisa Savo Sardaro ◽  
Maroun Atallah ◽  
Maurizio Enea Picarella ◽  
Benedetto Aracri ◽  
Mario A. Pagnotta
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Molecular Markers ◽  
Phylogenetic Inference

Analysis of genetic diversity and population structure within the Icelandic cattle breed using molecular markers

2010 ◽  
Vol 60 (4) ◽  
pp. 203-210 ◽  
Author(s):  
M. G. Ásbjarnardóttir ◽  
T. Kristjánsson ◽  
M. B. Jónsson ◽  
J. H. Hallsson
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Molecular Markers ◽  
Cattle Breed

scholarly journals Elucidate genetic diversity and population structure of Olea europaea L. germplasm in Iran using AFLP and IRAP molecular markers

3 Biotech ◽  
2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Esmaeil Khaleghi ◽  
Karim Sorkheh ◽  
Maryam Hosseni Chaleshtori ◽  
Sezai Ercisli
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Molecular Markers ◽  
Olea Europaea ◽  
Olea Europaea L ◽  
Olea Europaéa

scholarly journals First regional evaluation of nuclear genetic diversity and population structure in northeastern coyotes (Canis latrans)

F1000Research ◽  
2014 ◽  
Vol 3 ◽  
pp. 66 ◽  
Author(s):  
Javier Monzón
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Molecular Markers ◽  
Genetic Structure ◽  
Dna Sequences ◽  
Canis Latrans ◽  
Regional Analysis ◽  
Model Organism ◽  
Nucleotide Polymorphisms ◽  
Genomic Markers

Previous genetic studies of eastern coyotes (Canis latrans) are based on one of two strategies: sampling many individuals using one or very few molecular markers, or sampling very few individuals using many genomic markers. Thus, a regional analysis of genetic diversity and population structure in eastern coyotes using many samples and several molecular markers is lacking. I evaluated genetic diversity and population structure in 385 northeastern coyotes using 16 common single nucleotide polymorphisms (SNPs). A region-wide analysis of population structure revealed three primary genetic populations, but these do not correspond to the same three subdivisions inferred in a previous analysis of mitochondrial DNA sequences. More focused geographic analyses of population structure indicated that ample genetic structure occurs in coyotes from an intermediate contact zone where two range expansion fronts meet. These results demonstrate that genotyping several highly heterozygous SNPs in a large, geographically dense sample is an effective way to detect cryptic population genetic structure. The importance of SNPs in studies of population and wildlife genomics is rapidly increasing; this study adds to the growing body of recent literature that demonstrates the utility of SNPs ascertained from a model organism for evolutionary inference in closely related species.

Genetic diversity and population structure analysis of rice false smut pathogen in North India using molecular markers

2021 ◽  
Author(s):  
Prahlad Masurkar ◽  
Manas Kumar Bag ◽  
Anuprita Ray ◽  
Rakesh Kumar Singh ◽  
Mathew S. Baite ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Molecular Markers ◽  
Structure Analysis ◽  
North India ◽  
Rice False Smut ◽  
Population Structure Analysis ◽  
False Smut
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