scholarly journals Genetic Diversity and Population Structure of Moroccan Isolates Belong to Alternaria spp. Causing Black Rot and Brown Spot in Citrus

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Lamyaa Zelmat ◽  
Joseph Mbasani Mansi ◽  
Sarra Aouzal ◽  
Fatima Gaboun ◽  
Slimane Khayi ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Cluster Analysis ◽  
Population Structure ◽  
Geographical Origin ◽  
Brown Spot ◽  
Black Rot ◽  
Jaccard Coefficient ◽  
Citrus Fruits ◽  
Alternaria Brown Spot ◽  
And Cluster Analysis

Alternaria alternata is one of the most important fungi causing various diseases on citrus worldwide. In Morocco, Alternaria black rot (ABR) and Alternaria brown spot (ABS) are two major diseases causing serious losses in commercial cultivars of citrus. The aim of the present work was to study the genetic diversity and the population structure of isolates belonging to sect. Alternaria obtained from infected citrus fruits, collected from seven provinces at different locations in Morocco (markets, packinghouses, and orchards). Forty-five isolates were analyzed by sequence-related amplified polymorphism (SRAP) markers, and cluster analysis of DNA fragments was performed using UPGMA method and Jaccard coefficient. Cluster analysis revealed that isolates were classified in four distinct groups. AMOVA revealed also a large extent of variation within sect. Alternaria isolates (99%). The results demonstrate that no correlation was found among SRAP pattern, host, and geographical origin of these isolates. Population structure analyses showed that the Alternaria isolates from the same collection origin had almost a similar level of admixture.

scholarly journals Genetic Diversity in Muscadine and Bunch Grapes Based on RAPD Analysis

HortScience ◽  
1995 ◽  
Vol 30 (4) ◽  
pp. 877A-877
Author(s):  
Jiang Lu ◽  
Xianping Qu ◽  
Olusola Lamikanra
Keyword(s):  
United States ◽  
Genetic Diversity ◽  
Cluster Analysis ◽  
Dna Analysis ◽  
Rapd Analysis ◽  
The United States ◽  
Separate Study ◽  
Random Primers ◽  
And Cluster Analysis ◽  
Grape Cultivars

Two morphologically very distinct grapevines belonging to the subgenera Euvitis and Muscadinia of the genus Vitis are cultivated in the United States. The former is commonly called “bunch” grape, while the latter is usually called “muscadine.” Genetic diversity among these grapes was investigated based on random amplified polymorphic DNAs (RAPDs). Sixteen grape cultivars, with their parentage including V. rotundifolia, V. vinifera, and several American Vitis species, were used for the RAPD analysis. More than 200 RAPDs were produced from 20 random primers. More than 90% of which were polymorphic between the muscadine and the bunch grapes, while polymorphism was considerably low within the muscadine and the bunch grapes. The relationships of grapes between these two subgenera were estimated based on bandsharing and cluster analysis. The result based on the DNA analysis agrees with the isozyme data obtained from a separate study, which demonstrated that the muscadine grape shares very low common alleles with the American bunch grapes and the European grapes.

scholarly journals Cluster Analysis Of Triticum L. Samples Of Different Ecological And Geographical Origin

2021 ◽  
Vol 24 (2) ◽  
pp. 84-92
Author(s):  
Yulia Chuprina
Keyword(s):  
Cluster Analysis ◽  
Spring Wheat ◽  
Geographical Origin ◽  
Morphological Features ◽  
Experimental Production ◽  
Homogeneous Groups ◽  
Economically Valuable Traits ◽  
And Cluster Analysis ◽  
Purposeful Selection ◽  
Optimal Set

This research paper is devoted to the application of cluster analysis for evaluating samples of soft spring wheat by elements of crop structure. The purpose of the study is to analyse the intraspecific and interspecific variability of morphological features of samples of spring wheat of various ecological and geographical origin according to 8 morphological features. Observations were carried out in 2018-2020 in the training and experimental production centre “Doslidne pole” of the Kharkiv National Agrarian University named after V.V. Dokuchaev. The cluster analysis of the collection of spring wheat samples, which included 76 samples of various ecological and geographical origin, allowed the study to assess the following features: the presence of awns, the colour of awns, the colour of ear scales, the pubescence of leaves, the pubescence of the subcrown internode, the pubescence of the ear internode, the colour of caryopsis, the colour of straw. The results of analysis of the phylogeny of various types of spring wheat by cluster analysis using morphological markers to determine homogeneous groups are presented, and the affected tree of systematic formation of clustering groups is established. Based on the cluster analysis, two separate groups of soft spring wheat samples were identified according to the complex of plant productivity elements. Samples are grouped into each cluster depending on the quantitative characteristics of the crop structure and their interaction with each other. In general, all samples over the years of study showed good results, namely based on “colour of awns”, of particular note are the samples of the Tr. persicumspecies. According to the results obtained, all samples have good indicators, and cluster analysis of soft spring wheat samples allowed identifying groups of plants that exceed the parent forms in the optimal set of economically valuable traits, which would allow for a more purposeful selection of valuable forms based on certain traits

scholarly journals Genetic Variability of 21 Tea Genotypes [Camellia sinensis (L.) O. Kuntze] Based on RAPD Markers

2018 ◽  
Vol 5 (2) ◽  
pp. 77
Author(s):  
Budi Martono ◽  
Syafaruddin Syafaruddin
Keyword(s):  
Genetic Diversity ◽  
Cluster Analysis ◽  
Genetic Similarity ◽  
Binary Data ◽  
Rapd Markers ◽  
Group Method ◽  
Breeding Programs ◽  
Pair Group ◽  
Monomorphic Band ◽  
And Cluster Analysis

<em>Knowing the genetic diversity in the tea germplasms collection is one of important conditions for assembling new superior varieties. Information of genetic diversity can be obtained through analysis using RAPD molecular markers. The study aimed to determine the genetic diversity of 21 tea genotypes based on RAPD markers. The research was conducted in Integrated Laboratory, Seameo Biotrop, Bogor, from July to September 2013. Genomic DNA was isolated from 21 tea genotypes leaf samples, then amplified with primer OPA 03, OPA 05, OPB 04, OPB 06, OPC 06, and OPD 08. Electrophoresis result was converted into binary data. The genetic similarity and cluster analysis calculation was done using NTSYS-pc version 2.10. In this research, 50 polymorphic bands (94,34%) and 3 monomorphic band (5,66%) were obtained. Cluster analysis based on Nei's genetic distance using the unweighted pair-group method with arithmatic (UPGMA) divided 21 tea genotypes into two groups at a genetic similarity value of 0,48. Group 1 consisted of 20 tea genotypes, while the second group comprised only a one genotype (Sin 27). The range of genetic similarity matrix was between 28%–92%, the lowest genetic similarity (28%) was found between GMB 4 and Sin 27 genotypes, while the highest (92%) was found between AS 2 and AS 1 genotypes. The information obtained can be utilized in breeding programs with the support of agronomic characters as well as in the conservation of tea germplasm.</em>

scholarly journals Genetic Diversity and Population Structure of Job’s Tears(Coix lacryma-jobi L.) Germplasm Based on ISSR Marker

2021 ◽  
Author(s):  
Gang Shen ◽  
Lingling Yang ◽  
Teerayoot Girdthai ◽  
Fanzhi Liu ◽  
Yuhua Fu ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Cluster Analysis ◽  
Population Structure ◽  
Genetic Distance ◽  
Genetic Relationship ◽  
Germplasm Collection ◽  
Issr Markers ◽  
Issr Primer ◽  
Upgma Cluster ◽  
Job’S Tears

Abstract Background: Job's tears（Coix lachryma-jobi L.）is a minor cereal and an important food item in some parts of Asia. It has also been used in the traditional Chinese medicine for relieving various ailments, therefore, it plays an important role in our lives. Lack of excellent new varieties hinders the development of coix as a sustainable crop, and it is urgent to provide new cultivars with excellent trait in Chinese Coix industry. Results: ISSR markers were used to assess the genetic diversity and population structure of 8 populations of Job’s tears in China. A genotyping analysis that utilized ten ISSR primer pairs resulted in the production of 116 bands, of which 98 were polymorphic. The Guizhou population (PPB = 81.90%, h = 0.3113, I = 0.4589) was the most genetically diverse, while the lowest was observed in the Hebei population (PPB = 46.55%, h = 0.1842, I = 0.2701). Genetic differentiation analyses including GST and AMOVA illustrated that genetic variation was most prevalent within populations while only minor variations were observed among populations. Genetic distance coefficients ranged from 0.0095 to 0.0948 for the 8 populations; the genetic relationship between the Guizhou and Chongqing populations was the closest, while the most distant genetic relationship occurred between the Hubei and Hunan populations. The results of an UPGMA cluster analysis that investigated genetic diversity among the populations were consistent with the genetic distance results. The results of a STRUCTURE analysis suggested that 94 Job’s tears accessions could be grouped into two subpopulations. Moreover, according to a cluster analysis based on the UPGMA for individuals of Job’s tears, accessions were divided into two major clusters. The results of the Bayesian cluster and UPGMA cluster analyses were largely consistent despite minor differences. There was no significant correlation between genetic distance and geographic distance (r = 0.055, p = 0.782). Conclusions: Our study was undertaken to systematically analyze genetic diversity and population structure in 94 Job’s tears accessions using ISSR markers. And this study provides us with valuable information pertaining to germplasm collection, genetic improvement, and systematic utilization of Job’s tears.

scholarly journals Genetic diversity of Albanian pea (Pisum sativum L.) landraces assessed by morphological traits and molecular markers

2014 ◽  
Vol 50 (No. 2) ◽  
pp. 177-184 ◽  
Author(s):  
B. Gixhari ◽  
M. Pavelková ◽  
H. Ismaili ◽  
H. Vrapi ◽  
A. Jaupi ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Cluster Analysis ◽  
Molecular Markers ◽  
Morphological Traits ◽  
Principal Component ◽  
Morphological Characters ◽  
Insertion Polymorphism ◽  
Growing Seasons ◽  
And Cluster Analysis

In order to investigate the genetic diversity present in the pea germplasm stored in the Albanian genebank, we analyzed 28 local pea genotypes of Albanian origins for 23 quantitative morphological traits, as well as 14 retrotransposon-based insertion polymorphism (RBIP) molecular markers. The study of morphological characters carried out during three growing seasons (2010, 2011 and 2012) had the objective of characterization of traits useful in breeding programs. RBIP marker analysis revealed the genetic similarity in range from 0.06 to 0.45. ANOVA, principal component analysis (PCA) and cluster analysis was used to visualize the association among different traits. Most of the quantitative morphological traits showed significant differences. PCA and cluster analysis (Ward&rsquo;s method) carried out for morphological traits divided the local pea genotypes into three clusters. Finally, the study identified the agronomicaly important traits which will facilitate the maintenance and agronomic evaluation of the collections.

Population structure, genetic diversity, and sexual state of the rice brown spot pathogenBipolaris oryzaefrom three Asian countries

2017 ◽  
Vol 67 (1) ◽  
pp. 181-192 ◽  
Author(s):  
A. Ahmadpour ◽  
C. Castell-Miller ◽  
M. Javan-Nikkhah ◽  
M. R. Naghavi ◽  
F. P. Dehkaei ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Brown Spot ◽  
Asian Countries ◽  
Sexual State

scholarly journals Genetic divergence in eggplant (Solanum melongena L.) genotypes

2016 ◽  
Vol 41 (3) ◽  
pp. 433-439
Author(s):  
MR Karim ◽  
MM Rahman ◽  
AKM Quamruzzaman
Keyword(s):  
Genetic Diversity ◽  
Cluster Analysis ◽  
Multivariate Analysis ◽  
Genetic Distance ◽  
Genetic Divergence ◽  
Solanum Melongena ◽  
The Other ◽  
Agronomic Performance ◽  
Cluster Distance ◽  
And Cluster Analysis

Multivariate analysis of twenty six genotypes of eggplant were done to estimate the genetic diversity and to select the potential parents for a successful hybridization program. As per PCA, D2 and cluster analysis, the genotypes were grouped into five clusters. The highest inter-cluster distance was between Cluster II and Cluster III (37.82) and the lowest between Cluster I and Cluster III (4.39). Cluster III showed the maximum intra-cluster distance (1.58), whereas Cluster II showed the lowest intra-cluster distance (0.48). Considering the magnitude of genetic distance and agronomic performance, the genotypes SM 208 and SM 209 from Cluster II and SM 201, SM 218 and SM 227 from Cluster III might be suitable for efficient hybridization program. On the other hand the genotypes of Cluster I (SM 206, SM 210, SM 211, SM 212, SM 213, SM 215, SM 216, SM 217, SM 221, SM 224, SM 225 and SM 226) possess all the superior characters in respect of yield and yield related component. Thus the genotypes SM 206, SM 216, SM 217, SM 224 and SM 225 from this Cluster could be selected to develop high yielding eggplant varieties.Bangladesh J. Agril. Res. 41(3): 433-439, September 2016

Sign in / Sign up

Export Citation Format

Share Document