scholarly journals Genetic diversity of Polish cultivars of common wheat (Triticum aestivum L.) based on molecular and protein markers

2020 ◽  
Vol 48 (2) ◽  
pp. 535-548
Author(s):  
Ewa FILIP ◽  
Aleksandra STROŃSKA ◽  
Magdalena SZENEJKO ◽  
Waldemar PLUTA
Keyword(s):  
Genetic Diversity ◽  
Common Wheat ◽  
Similarity Index ◽  
Principal Component ◽  
Shannon Index ◽  
Qualitative Assessment ◽  
Wheat Cultivars ◽  
Protein Markers ◽  
Binary Matrix ◽  
Sds Page

Knowledge of the composition subunits of proteins glutenins makes it much easier to determine the quality and suitability of the final product obtained from gluten. It is important to remember that not only molecular processes model gluten protein polymorphism. In this study, the genetic diversity of Polish common wheat cultivars was examined at the level of DNA and glutenin’s proteins HMW-GS. The SDS-PAGE and RAPD bands were evaluated in binary matrix, which was the basis for further analysis of results, using appropriate measures of variability: Q-Cochran  test (Cochran, 1950), p < 0.05; I-Shannon index; Si-Similarity index; PIC-Polymorphism Information Content; (PCA-Principal component analysis). Both types of markers proved to be useful in the overall assessment of genetic variability between tested of common wheat cultivars. The general genetic diversity indicates that good candidates with unique composition of HMW-GS subunits were selected among the examined cultivars and three OPA-02, OPA-03, OPB-08 primers with the highest power differentiating for the studied genotypes were selected. Results of the research revealed the potentials of RAPD and SDS-PAGE technique in determining genetical diversity and make a suitable qualitative assessment of common wheat cultivars.

scholarly journals Genetic diversity of European cultivars of common wheat (Triticum aestivum L.) based on RAPD and protein markers

2016 ◽  
Vol 17 (4) ◽  
pp. 957-969
Author(s):  
T�mea KUTKA HLOZ�KOV� ◽  
Edita GREGOV� ◽  
Martin VIVOD�K ◽  
Zdenka G�lov�
Keyword(s):  
Genetic Diversity ◽  
Triticum Aestivum ◽  
Common Wheat ◽  
Triticum Aestivum L ◽  
Protein Markers

scholarly journals Genetic Diversity in Commercial Rapeseed (Brassica napus L.) Varieties from Turkey as Revealed by RAPD

2013 ◽  
Vol 5 (1) ◽  
pp. 114-119 ◽  
Author(s):  
Özlem ÖZBEK ◽  
Betül Uçar GIDIK
Keyword(s):  
Genetic Diversity ◽  
Brassica Napus ◽  
Dna Analysis ◽  
Diversity Index ◽  
Principal Component ◽  
Brassica Napus L ◽  
Binary Matrix ◽  
Crop Species ◽  
Commercial Crop ◽  
The Mean

In cultivated commercial crop species, genetic diversity tends to decrease because of the extensive breeding processes. Therefore, germplasm of commercial crop species, such as Brassica napus L. should be evaluated and the genotypes, which have higher genetic diversity index, should be addressed as potential parental cross materials in breeding programs. In this study, the genetic diversity was analysed by using randomly amplified polymorphic DNA analysis (RAPD) technique in nine Turkish commercial rapeseed varieties. The RAPD primers (10-mer oligonucleotides) produced 51 scorable loci, 31 loci of which were polymorphic (60.78%) and 20 loci (39.22%) were monomorphic The RAPD bands were scored as binary matrix data and were analysed using POPGENE version 1.32. At locus level, the values of genetic diversity within population (Hs) and total (HT) were 0.15 and 0.19 respectively. The genetic differentiation (GST) and the gene flow (Nm) values between the populations were 0.20 and 2.05 respectively. The mean number of alleles (na), the mean number of effective alleles (nae), and the mean value of genetic diversity (He) were 2.00, 1.26, and 0.19 respectively. According to Pearson’s correlation, multiple regression and principal component analyses, eco-geographical conditions in combination had significant effect on genetic indices of commercial B. napus L. varieties were discussed.

scholarly journals Investigation of genetic diversity and population structure of common wheat cultivars in northern China using DArT markers

BMC Genetics ◽  
2011 ◽  
Vol 12 (1) ◽  
pp. 42 ◽  
Author(s):  
LiYi Zhang ◽  
DongCheng Liu ◽  
XiaoLi Guo ◽  
WenLong Yang ◽  
JiaZhu Sun ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Common Wheat ◽  
Northern China ◽  
Dart Markers ◽  
Wheat Cultivars

scholarly journals Improved Method for Reliable HMW-GS Identification by RP-HPLC and SDS-PAGE in Common Wheat Cultivars

Molecules ◽  
2017 ◽  
Vol 22 (7) ◽  
pp. 1055 ◽  
Author(s):  
You-Ran Jang ◽  
Hye-Rang Beom ◽  
Susan Altenbach ◽  
Min-Ki Lee ◽  
Sun-Hyung Lim ◽  
...  
Keyword(s):  
Common Wheat ◽  
Wheat Cultivars ◽  
Improved Method ◽  
Rp Hplc ◽  
Sds Page

scholarly journals Pedigree Data Analysis of a Wheat Population

Proceedings ◽  
2020 ◽  
Vol 36 (1) ◽  
pp. 148
Author(s):  
Sepideh Rouholamin ◽  
Vivi Arief ◽  
Ian Delacy ◽  
Kaye Basford
Keyword(s):  
Genetic Diversity ◽  
Graphical Representation ◽  
Principal Component ◽  
Wheat Cultivars ◽  
Pedigree Data ◽  
Coefficient Of Parentage ◽  
Breeding Technique ◽  
Wheat Population ◽  
Crop Development ◽  
Inbred Populations

Genetic diversity is an essential part of successful crop development and can be evaluated by different methods, e.g. the Coefficient of Parentage (COP). This coefficient is established on pedigree data. This method can determine the variation among genotypes without the influence of environment effects as would be the case for field data. This study measured genetic diversity among 317 wheat cultivars from a population generated by the speed breeding technique. Using pedigree data, we determined the associations between parents and individuals, and then used the pattern analysis techniques of principal component analysis and clustering. The results enabled an appropriate graphical representation of wheat cultivars. This information is useful for selecting future parents in breeding programs. This demonstrates that using COP is a viable way to evaluate diversity among genotypes, especially in inbred populations.

scholarly journals Evaluation of protein fractions as biochemical markers for identification of spelt wheat cultivars (Triticum spelta L.)

2011 ◽  
Vol 49 (No. 3) ◽  
pp. 99-105 ◽  
Author(s):  
V. Dvořáček ◽  
V. Čurn
Keyword(s):  
Common Wheat ◽  
Biochemical Markers ◽  
Digital Image Analysis ◽  
Wheat Cultivar ◽  
Protein Fractions ◽  
Wheat Cultivars ◽  
Triticum Spelta ◽  
Spelt Wheat ◽  
Sds Page ◽  
Polymorphism Level

Four protein fractions: 1 &ndash; albumins and globulins, 2 &ndash; gliadins, 3 &ndash; glutenins (extracted in NaOH), 4 &ndash; glutenins (extracted in SDS) separated by SDS-PAGE were used as biochemical markers for evaluation of polymorphism level in three spelt wheat cultivars &ndash; Hercule, Altgold and&nbsp;Rouquin, three new&ndash;breeders&rsquo; spelt lines &ndash; H92.27, H92.28 and&nbsp;M92.20 (originated from hybridisation between spelt and common wheat) and reference common wheat cultivar Brea. Electrophoretic phenotypes and zymograms were evaluated by means of digital image analysis and Nei and Li coefficient of similarity was used to evaluate the relation of analysed genotypes. Entire evaluation of all four-marker systems showed differences between common wheat cultivarBreaand spelt cultivars and spelt breeders&rsquo; lines. Also significant differences between old spelt cultivars (Hercule, Altgold and Rouquin) and new spelt breeders&rsquo; lines were found. The reality of the mutual passing of protein fractions (gliadins and glutenins), based on Osborne extraction was confirmed. In this sense it is necessary to see both fractions as dynamic overlapping structures.

scholarly journals Protein polimorphism of cross components at development of common wheat lines with introgression from Triticum migushovae Zhir.

2018 ◽  
Vol 22 ◽  
pp. 62-67
Author(s):  
T. V. Pasichnyk ◽  
M. Z. Antonyuk ◽  
T. K. Ternovska
Keyword(s):  
Common Wheat ◽  
Storage Proteins ◽  
Protein Electrophoresis ◽  
Wheat Cultivars ◽  
Protein Markers ◽  
Head Blight ◽  
Wheat Proteins ◽  
Electrophoretic Spectra ◽  
Wheat Lines ◽  
Introgressive Lines

Aim. Determine presence/absence of polymorphism at genes coding wheat proteins with known chromosome localization in order to determine cross components for development of introgressive lines T. aestivum/T. miguschovae, which are optimal for screening progeny for studied proteins. Methods. Protein electrophoresis in PAAG, visualization and comparison of spectra. Results. Electrophoretic spectra components which could be used as markers of chromosomes of Ab, G, D genomes of Migushova wheat, and A, B and D genomes of four cultivars of common wheat were identified for 1-st (gliadins, glutenins), 3-rd (leaf and seed esterase, peroxidase), 4-th (beta-amylase, acid phosphatase), 6-th (gliadins, alfa-amylase), 7-th (alfa-amylase) groups of homeological chromosomes. Conclusions. Progeny from any of the four common wheat cultivars can be studied for the presence of Migushova wheat chromosomes that substituted common wheat chromosomes of 1-st, 3-rd, 4-th, 6-th, and 7-th homeological groups, however, effectiveness of studied protein markers varied for different cultivars.Keywords: wheat introgression, Fusarium head blight, Triticum miguschovae, storage proteins, isoenzymes.

Studies on genetic diversity in chickpea utilizing morphological and total seed protein markers

2015 ◽  
Author(s):  
V. Jayalakshmi ◽  
C. Kiran Kumar Reddy ◽  
G. Jyothirmayi ◽  
A. Trivikrama Reddy
Keyword(s):  
Genetic Diversity ◽  
Dna Markers ◽  
Seed Protein ◽  
Storage Proteins ◽  
Protein Profile ◽  
Similarity Index ◽  
Morphological Characters ◽  
Morphological Markers ◽  
Protein Markers ◽  
Total Seed

Genetic diversity among seventeen chickpea varieties was investigated utilizing agro morphological traits and total seed protein markers. Morphological markers grouped all the desi genotypes (9) except ICCV 10 under Cluster I, whereas kabuli genotypes (7) were grouped in three clusters. Dendogram developed based on total seed protein profile revealed that the seventeen genotypes could be grouped into two clusters broadly at a distance of 25. Similarity index between all possible pairs of seventeen genotypes showed a range of 0.074 (Vishal and ICCV-10) to 0.579 (JAKI-9218 and ICCC 37). The correspondence between different methods might be improved by analyzing more morphological characters, storage proteins and DNA markers.

scholarly journals Gene flow and genetic structure between populations of Hesperis L. (Brassicaceae) species using molecular markers

Genetika ◽  
2021 ◽  
Vol 53 (2) ◽  
pp. 769-782
Author(s):  
Kuanhong Meng ◽  
Jia Yao ◽  
Cong He ◽  
Heravi Morabbi
Keyword(s):  
Genetic Diversity ◽  
Genetic Difference ◽  
Random Amplified Polymorphic Dna ◽  
Principal Component ◽  
Shannon Index ◽  
The Other ◽  
Brassicaceae Species ◽  
Close Relationship ◽  
Geographical Populations ◽  
Dna Primers

Genetic variability and populations, structure were studied in seven geographical populations of Hesperis L. Genetic diversity parameters were determined in these populations. 5 of 10 random amplified polymorphic DNA primers produced 62 reproducible bands with average of 7.1 bands per primer and 55% of polymorphism. Hesperis hyrcana showed the highest number of effective allele (Ne), Shannon index (I) and genetic diversity (H). The highest values of genetic diversity were obtained in Hesperis hyrcana. NJ trees grouped the populations in two different clusters/groups, indicating their genetic difference which is discussed in details. The results of this study showed that the level of genetic variation in Hesperis is relatively high. NJ-based dendrogram showed a close relationship between members of Hesperis straussii and Hesperis hyrcana while the Hesperis luristanica protected population differ the most from the other populations. Principal component analysis, however, showed some minor differences with NJ-based dendrograms.

scholarly journals Genetic Diversity in Local and Exotic Avena sativa L. (Oat) Germplasm Using Multivariate Analysis

Agronomy ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 1713
Author(s):  
Mohammad Ihsan ◽  
Nausheen Nazir ◽  
Abdul Ghafoor ◽  
Atif Khalil ◽  
Muhammad Zahoor ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Avena Sativa ◽  
Morphological Characteristics ◽  
Principal Component ◽  
Human Consumption ◽  
Local Conditions ◽  
Yield Production ◽  
Sds Page ◽  
Poaceae Family ◽  
Elite Germplasm

Avena sativa L., also known as Oat belongs to the Poaceae family, is one of the most significant crops that is grown for its seeds, fodder as well as for human consumption as oatmeal. In the current study, 236 genotypes of A. sativa were analysed for genetic diversity through agro-morphological and SDS-PAGE analysis. Cluster analysis based on agro-morphological characteristics grouped all the genotypes into nine clusters, whereas genotype numbers 537 and 728 were highly different from others. The seed yield production of cluster 9 genotypes was the highest per plant (38.2 ± 0.20 g), while cluster 2 genotypes produced maximum biomass per plant (122.5 ± 9.55 g) as compared to other clusters. In a principal component analysis where four variables were studied, and the observed total variations were 57.60%. Among the genotypes, a maximum grain yield of 38.2 g (each) was recorded for genotypes 22,350 and 728, followed by genotypes 737 and 22,390 (with 36.4 g and 35.6 g of seed productions, respectively). The SDS-PAGE analysis resulted in 13 bands and all the genotypes were grouped into seventeen clusters. At the extreme periphery of the dendrogram, genotype 537 and 22,332 were considered to be the most diverse genotypes. Our findings have implications for both understanding the diversity and relationships among these diverse genotypes of A. sativa and will provide a basis for obtaining the elite germplasm optimally adapted to local conditions. The selected genotypes based on agronomic performance may be potential breeding material to raise successful future cultivars.

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