scholarly journals Erratum to “Genetic Diversity and Population Differentiation ofGuignardia mangiferaefrom “Tahiti” Acid Lime”

2012 ◽  
Vol 2012 ◽  
pp. 1-1
Author(s):  
Ester Wickert ◽  
Eliana Gertrudes de Macedo Lemos ◽  
Luciano Takeshi Kishi ◽  
Andressa de Souza ◽  
Antonio de Goes
Keyword(s):  
Genetic Diversity ◽  
Population Differentiation ◽  
Acid Lime

scholarly journals Genetic Diversity and Population Differentiation ofGuignardia mangiferaefrom “Tahiti” Acid Lime

2012 ◽  
Vol 2012 ◽  
pp. 1-11 ◽  
Author(s):  
Ester Wickert ◽  
Eliana Gertrudes de Macedo Lemos ◽  
Luciano Takeshi Kishi ◽  
Andressa de Souza ◽  
Antonio de Goes
Keyword(s):  
Genetic Diversity ◽  
Gene Flow ◽  
Population Differentiation ◽  
Black Spot ◽  
The Other ◽  
Presenting Symptoms ◽  
Citrus Black Spot ◽  
Panmictic Population ◽  
Acid Lime

Among the citrus plants, “Tahiti” acid lime is known as a host ofG. mangiferaefungi. This species is considered endophytic for citrus plants and is easily isolated from asymptomatic fruits and leaves.G. mangiferaeis genetically related and sometimes confused withG. citricarpawhich causes Citrus Black Spot (CBS). “Tahiti” acid lime is one of the few species that means to be resistant to this disease because it does not present symptoms. Despite the fact that it is commonly found in citric plants, little is known about the populations ofG. mangiferaeassociated with these plants. Hence, the objective of this work was to gain insights about the genetic diversity of theG. mangiferaepopulations that colonize “Tahiti” acid limes by sequencing cistron ITS1-5.8S-ITS2. It was verified that “Tahiti” acid lime plants are hosts ofG. mangiferaeand also ofG. citricarpa, without presenting symptoms of CBS. Populations ofG. mangiferaepresent low-to-moderate genetic diversity and show little-to-moderate levels of population differentiation. As gene flow was detected among the studied populations and they share haplotypes, it is possible that all populations, from citrus plants and also from the other known hosts of this fungus, belong to one great panmictic population.

scholarly journals Spatial pattern and genetic diversity estimates are linked in stochastic models of population differentiation

2000 ◽  
Vol 23 (3) ◽  
pp. 541-544 ◽  
Author(s):  
José Alexandre Felizola Diniz-Filho ◽  
Mariana Pires de Campos Telles
Keyword(s):  
Genetic Diversity ◽  
Spatial Pattern ◽  
Stochastic Models ◽  
Population Differentiation ◽  
Real Data ◽  
Population Heterogeneity ◽  
Data Set ◽  
Mantel’S Test ◽  
The Relationship ◽  
Diversity Estimates

In the present study, we used both simulations and real data set analyses to show that, under stochastic processes of population differentiation, the concepts of spatial heterogeneity and spatial pattern overlap. In these processes, the proportion of variation among and within a population (measured by G ST and 1 - G ST, respectively) is correlated with the slope and intercept of a Mantel's test relating genetic and geographic distances. Beyond the conceptual interest, the inspection of the relationship between population heterogeneity and spatial pattern can be used to test departures from stochasticity in the study of population differentiation.

scholarly journals Genome-wide genetic diversity, population structure and admixture analysis in Eritrean Indigenous Cattle

2020 ◽  
Vol 49 (6) ◽  
pp. 1083-1092
Author(s):  
S Goitom ◽  
M.G. Gicheha ◽  
F.K. Njonge ◽  
N Kiplangat
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Genetic Variability ◽  
Population Differentiation ◽  
Principal Component ◽  
Vital Role ◽  
Group Method ◽  
Indigenous Cattle ◽  
Ecological Zones ◽  
Genome Wide

Indigenous cattle play a vital role in subsistence and livelihood of pastoral producers in Eritrea. In order to optimally utilize and conserve these valuable indigenous cattle genetic resources, the need to carry out an inventory of their genetic diversity was recognized. This study assessed the genetic variability, population structure and admixture of the indigenous cattle populations (ICPs) of Eritrea using a genotype by sequencing (GBS) approach. The authors genotyped 188 animals, which were sampled from 27 cattle populations in three diverse agro-ecological zones (western lowlands, highlands and eastern lowlands). The genome-wide analysis results from this study revealed genetic diversity, population structure and admixture among the ICPs. Averages of the minor allele frequency (AF), observed heterozygosity (HO), expected heterozygosity (HE), and inbreeding coefficient (FIS) were 0.157, 0.255, 0.218, and -0.089, respectively. Nei’s genetic distance (Ds) between populations ranged from 0.24 to 0.27. Mean population differentiation (FST) ranged from 0.01 to 0.30. Analysis of molecular variance revealed high genetic variation between the populations. Principal component analysis and the distance-based unweighted pair group method and arithmetic mean analyses revealed weak substructure among the populations, separating them into three genetic clusters. However, multi-locus clustering had the lowest cross-validation error when two genetically distinct groups were modelled. This information about genetic diversity and population structure of Eritrean ICPs provided a basis for establishing their conservation and genetic improvement programmes. Keywords: genetic variability, molecular characterization, population differentiation

scholarly journals Study of genetic differences among Slovak Tsigai populations using microsatellite markers

2009 ◽  
Vol 54 (No. 10) ◽  
pp. 468-474 ◽  
Author(s):  
S. Kusza ◽  
E. Gyarmathy ◽  
J. Dubravska ◽  
I. Nagy ◽  
A. Jávor ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Genetic Distance ◽  
Microsatellite Markers ◽  
Mating System ◽  
Population Differentiation ◽  
Genetic Relationships ◽  
The Other ◽  
Potential Risks ◽  
Substantial Degree

In this study genetic diversity, population structure and genetic relationships of Tsigai populations in Slovakia were investigated using microsatellite markers. Altogether 195 animals from 12 populations were genotyped for 16 microsatellites. 212 alleles were detected on the loci. The number of identified alleles per locus ranged from 11 to 35. In the majority of the populations heterozygosity deficiency and potential risks of inbreeding could be determined. High values of <I>F</I><sub>ST</sub> (0.133) across all the loci revealed a substantial degree of population differentiation. The estimation of genetic distance value showed that the Slovak Vojin population was the most different from the other populations. The 12 examined populations were able to group into 4 clusters. With this result our aim is to help the Slovak sheep breeders to establish their own mating system, to avoid genetic loss and to prevent diversity of Tsigai breed in Slovakia.

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