scholarly journals Determination of morphometric, biochemical and genetic variation in Sclerotium delphinii isolates

2014 ◽  
Vol 8 (16) ◽  
pp. 1696-1703
Author(s):  
P. Gawande S. ◽  
G. Borkar S. ◽  
T. Nagrale D. ◽  
K. Sharma A.
2021 ◽  
Vol 40 (6) ◽  
pp. 41-49
Author(s):  
Binbin Shan ◽  
Yan Liu ◽  
Na Song ◽  
Changping Yang ◽  
Shengnan Liu ◽  
...  

CYTOLOGIA ◽  
2016 ◽  
Vol 81 (1) ◽  
pp. 95-102 ◽  
Author(s):  
Hidenori Tanaka ◽  
Awatsaya Chotekajorn ◽  
Sayumi Kai ◽  
Genki Ishigaki ◽  
Masatsugu Hashiguchi ◽  
...  

Blood ◽  
1981 ◽  
Vol 57 (2) ◽  
pp. 209-217 ◽  
Author(s):  
L Lenzerini ◽  
U Benatti ◽  
A Morelli ◽  
S Pontremoli ◽  
A De Flora ◽  
...  

Abstract FX is a red cell NADP(H)-binding protein that has been well defined biochemically and immunologically but whose function is still unknown. Preliminary data indicated that the levels of this protein are significantly increased in hemizygotes, heterozygotes, and homozygotes for the G6PD Mediterranean mutant, thus raising the question of whether or not the individual variation in FX levels is more or less directly influenced by X-linked genes. The present study, based on a large series of population and family data collected in Sardinia, confirms unequivocally the above mentioned interaction, but shows at the same time that the variances in FX levels “between sibships” are 2–3 times larger than those “within sibships,” when the analysis is done separately for the G6PD-normal or the G6PD-deficient sibs. From the comparison of the interclass and intraclass correlation coefficients, it appears that about 60% of the total variation of FX is of genetic origin. Moreover, the FX levels of children, analyzed in a pairwise manner, were found to be more positively correlated with those of their fathers (r = 0.39) than with those of their maternal grandfathers (0.20). This latter finding obviously favors the conclusion that “autosomal”; rather than “X-linked” genes are involved in the determination of the FX levels.


2015 ◽  
Vol 15 (4) ◽  
pp. 889-901 ◽  
Author(s):  
Kornel Kasperek ◽  
Beata Horecka ◽  
Andrzej Jakubczak ◽  
Brygida Ślaska ◽  
Magdalena Gryzińska ◽  
...  

Abstract The aim of this study was to detect possible differences between farmed and wild-living raccoon dogs. Analysis of polymorphism in 15 microsatellite sequences led to the conclusion that raccoon dogs raised on Polish farms and wild raccoon dogs living in Poland are two genetically distinct groups of animals. Wild Polish raccoon dogs are genetically more similar to the population of wild animals from the Kaliningrad Region than to farmed animals. The analysis of microsatellite loci showed clear genetic differences between farmed and wild-living populations of raccoon dog, despite only 50 years of isolation of the two groups of animals. The farmed population was characterized by higher genetic variation than the wild-living population. On the basis of the analyses three microsatellite loci (INU014, Ren13J22 and Ren41D20) were proposed for determination of the origin of animals that have escaped from farms.


CYTOLOGIA ◽  
2007 ◽  
Vol 72 (3) ◽  
pp. 243-249 ◽  
Author(s):  
Budiguppe K. Chikkaswamy ◽  
Rabin C. Paramanik ◽  
Nagaraja Varadaraj ◽  
Achinto Paramanik ◽  
Hyadala L. Ramesh ◽  
...  

Genetika ◽  
2011 ◽  
Vol 43 (3) ◽  
pp. 575-582 ◽  
Author(s):  
Nevena Nagl ◽  
Ksenija Taski-Ajdukovic ◽  
Andrea Popovic ◽  
Zivko Curcic ◽  
Dario Danojevic ◽  
...  

In marker assisted breeding programs, determination of genome polymorphism and development of suitable molecular markers is of the greatest importance. The aim of this research was development of RAPD markers, which will enable quick and cost efficient DNA polymorphism analysis among closely related sugar beet genotypes. The research was conducted on twelve sugar beet genotypes from population of closely related genotypes. Reactions with eight RAPD primers and five primer mixtures resulted in stable and reproducible bands in all samples, with 44 polymorphic and 14 monomorphic loci, and average of 6.13 bands per primer. In two-primer reactions nine new polymorphic bands were detected. Polymorphism information content (PIC) for each primer was calculated, while genetic variation was estimated by calculation of the number of polymorphic loci and their percentage, observed number of alleles, effective number of alleles, and Nei?s gene diversity. An unweighted pair group arithmetic mean method (UPGMA) cluster analysis showed that samples were divided in two groups with relatively high coefficient of similarity. The presented results showed that RAPD markers can be suitable for genetic diversity analysis in breeding material with high levels of homology and homozygosity.


Author(s):  
José A. Peña ◽  
Luis Gómez-Pérez ◽  
Miguel A. Alfonso-Sánchez

AbstractThe accurate determination of the spatial trends on the variability of a species’ gene pool is essential to elucidate the underlying demographic-evolutionary events, thus helping to unravel the microevolutionary history of the population under study. Herein we present a new software called GenoCline, mainly addressed to detect genetic clines from allele, haplotype, and genome-wide data. This program package allows identifying the geographic orientation of clinal genetic variation through a system of iterative rotation of a virtual coordinate axis. Besides, GenoCline can perform complementary analyses to explore the potential origin of the genetic clines observed, including spatial autocorrelation, isolation by distance, centroid method, multidimensional scaling and Sammon projection. Among the advantages of this software is the ease in data entry and potential interconnection with other programs. Genetic and geographic data can be entered in spreadsheet table formatting (.xls), whereas genome-wide data can be imported in Eigensoft format. Genetic frequencies can also be exported in a format compatible with other programs dealing with population genetic and evolutionary biology analyses. All illustrations of results are saved in.svg format so that there will be high quality and easily editable vectorial graphs available for the researcher. Being implemented in Java, GenoCline is highly portable, thus working in different operating systems.


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