scholarly journals Genetic diversity and assessment of 23 microsatellite markers for parentage testing of Santa Inês hair sheep in Brazil

2012 ◽  
Vol 11 (2) ◽  
pp. 1217-1229 ◽  
Author(s):  
C.A. Souza ◽  
S.R. Paiva ◽  
C.M. McManus ◽  
H.C. Azevedo ◽  
A.S. Mariante ◽  
...  
2020 ◽  
Vol 70 (2) ◽  
pp. 170-181
Author(s):  
Dimitrijević Vladimir ◽  
Ristanić Marko ◽  
Stanisić Ljubodrag ◽  
Drobnjak Darko ◽  
Urosević Milivoje ◽  
...  

AbstractThe Kangal Shepherd Dog is considered the most common dog breed of Turkish origin. This study investigated variations in ten autosomal microsatellite markers (PEZ01, PEZ03, PEZ05, PEZ06, PEZ08, PEZ12, PEZ20, FHC2010, FHC2054 and FHC2079) for the purposes of genetic diversity assessment of the Kangal breed. In addition, the use of markers was assessed in parentage testing and individual identification within the Kangal breed. The microsatellite markers were typed in 51 Kangal dogs. The total number of alleles in the study population was 69. The mean number of alleles per locus was 6.9, and varied from four (FHC2079) to 12 (PEZ12). The polymorphic information content (PIC) ranged from 0.52 (FHC2079) to 0.87 (PEZ12), with the mean value for all loci of 0.717. Power of exclusion (PE) in 10 microsatellites investigated varied between 0.143 (FHC2054) and 0.472 (PEZ08) per locus. In order to determine the efficiency of using microsatellites for individual identification in the Kangal breed, power of discrimination (PD) and matching probability (MP) were calculated for each microsatellite marker. The panel achieved high combined MP (6.77 × 10-10) and high combined PD value of 99.99999%. The obtained results may contribute to further recognition of the Kangal breed, and confirm that the investigated microsatellites enable a reliable parentage testing and individual identification of the breed.


2019 ◽  
Author(s):  
Tiago do Prado Paim ◽  
Samuel Rezende Paiva ◽  
Natália Martins de Toledo ◽  
Michel Beleza Yamaghishi ◽  
Paulo Luiz Souza Carneiro ◽  
...  

AbstractBrazilian hair sheep constitute a genetic diversity hotspot of sheep breeds. These locally adapted genetic resources developed in harsh environments of the Brazilian Northwest (semi-arid) and maintained important traits for this region, such as parasite resistance, heat tolerance and high pelt quality. Genotypes (50K SNP chip) from seven Brazilian sheep breeds (5 hair and 2 coarse wool types) and 87 worldwide breeds were used to verify population structure, admixture and genetic diversity, using PCA and ADMIXTURE analyses. We constructed a phylogenetic tree and evaluated migration events between genetic groups using TREEMIX software. Brazilian Somali, a fat-tailed breed, was the unique breed with high relationship with East African breeds and formed a distinct cluster from other Brazilian breeds. This breed seems to contribute to formation of Santa Inês, Morada Nova and Brazilian Fat-tail breeds. Brazilian Blackbelly had a clear relationship with Barbados Blackbelly, which appeared as another group. Other Brazilian breeds seem to form a further genetic group with some recent admixtures. Morada Nova remained as a separate group, not showing a strong relationship with European or African breeds, only revealing a migration event from Sidaoun, an Algerian hair breed. Brazilian Fat-tail and Morada Nova share a common ancestor, but the first received introgressions from Brazilian Somali and Afrikaner breeds, explaining the fat-tail phenotype. Santa Inês received strong contribution from Bergamasca and had an admixed origin with recent introgressions from other breeds, mainly from Suffolk animals. In conclusion, Brazilian Somali and Brazilian Fat-tail are the most endangered sheep genetic resources in Brazil.


2009 ◽  
Vol 17 (1) ◽  
pp. 82 ◽  
Author(s):  
Liang Hongwei ◽  
Li Zhong ◽  
Luo Xiangzhong ◽  
Wang Changzhong ◽  
Hu Guangfu ◽  
...  

2021 ◽  
Vol 92 (1) ◽  
Author(s):  
Roberto Costa ◽  
Juscelino Silva ◽  
Ariovaldo Medeiros ◽  
Francisco Carvalho ◽  
Maria Andrade ◽  
...  
Keyword(s):  

2021 ◽  
pp. 106441
Author(s):  
Monique de Albuquerque Lagares ◽  
Fabiana Cristina Varago ◽  
Valéria Spyridion Moustacas ◽  
Valentim Arabicano Gheller ◽  
Rafael Romero Nicolino ◽  
...  

Heredity ◽  
2001 ◽  
Vol 86 (4) ◽  
pp. 469-479 ◽  
Author(s):  
Stéphanie Mariette ◽  
David Chagné ◽  
Céline Lézier ◽  
Patrick Pastuszka ◽  
Annie Raffin ◽  
...  

Author(s):  
Workia Ahmed ◽  
Tileye Feyissa ◽  
Kassahun Tesfaye ◽  
Sumaira Farrakh

Abstract Background Date palm tree (Phoenix dactylifera L.) is a perennial monocotyledonous plant belonging to the Arecaceae family, a special plant with extraordinary nature that gives eminent contributions in agricultural sustainability and huge socio-economic value in many countries of the world including Ethiopia. Evaluation of genetic diversity across date palms at DNA level is very important for breeding and conservation. The result of this study could help to design for genetic improvement and develop germplasm introduction programmes of date palms mainly in Ethiopia. Results In this study, 124 date palm genotypes were collected, and 10 polymorphic microsatellite markers were used. Among 10 microsatellites, MPdCIR085 and MPdCIR093 loci showed the highest value of observed and expected heterozygosity, maximum number of alleles, and highest polymorphic information content values. A total of 112 number of alleles were found, and the mean number of major allele frequency was 0.26, with numbers ranging from 0.155 (MPdCIR085) to 0.374 (MPdCIR016); effective number of alleles with a mean value of 6.61, private alleles ranged from 0.0 to 0.65; observed heterozygosity ranged from 0.355 to 0.726; expected heterozygosity varied from 0.669 to 0.906, polymorphic information content with a mean value of 0.809; fixation index individuals relative to subpopulations ranged from 0.028 for locus MPdCIR032 to 0.548 for locus MPdCIR025, while subpopulations relative to total population value ranged from − 0.007 (MPdCIR070) to 0.891 (MPdCIR015). All nine accesstions, neighbour-joining clustering analysis, based on dissimilarity coefficient values were grouped into five major categories; in population STRUCTURE analysis at highest K value, three groups were formed, whereas DAPC separated date palm genotypes into eight clusters using the first two linear discriminants. Principal coordinate analysis was explained, with a 17.33% total of variation in all populations. Generally, the result of this study revealed the presence of allele variations and high heterozygosity (> 0.7) in date palm genotypes. Conclusions Microsatellites (SSR) are one of the most preferable molecular markers for the study of genetic diversity and population structure of plants. In this study, we found the presence of genetic variations of date palm genotypes in Ethiopia; therefore, these genetic variations of date palms is important for crop improvement and conservation programmes; also, it will be used as sources of information to national and international genbanks.


2020 ◽  
Vol 37 (1) ◽  
pp. 38-45
Author(s):  
O.A. Okukenu ◽  
A.A. Olajide ◽  
P.A. Dele ◽  
M. Wheto ◽  
B.T. Akinyemi ◽  
...  

This study was carried out to characterise Pennisetum purpureum harvested from some selected locations in S outh-W estern Nigeria using microsatellite markers. Leaf parts of growing young elephant grass (Pennisetum purpureum) were harvested and immediately preserved in ethanol solution before DNA extraction. Two (2) SSR primers (CTM59 and Xtxp278) were used to assess genetic diversity in Pennisetum purpureum. The result shows that 72% of the molecular variations in the elephant grass exists within the population with 28% among the population; there were no unique characteristics among the Nine (9) populations. Nei genetic index ranged from 0.067 (lowest) observed between Isokan and Odeda populations to 0.158 (highest), between Ifedore and Ikoyi Populations. Morphological characterization showed moderate diversity with two major clusters and one minor cluster. Keyword: Elephant grass; cultivars; locations; markers


2020 ◽  
Vol 27 (7) ◽  
pp. 1699-1709
Author(s):  
Rekha Sharma ◽  
Sonika Ahlawat ◽  
Himani Sharma ◽  
Ved Prakash ◽  
Shilpa ◽  
...  

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