Genetic features of Kazakh sheep breeds according to microsatellites

Ozerov, Mikhail; Марзанов, Н. С.; Tapio, Miika; Burabaev, A. A.; Marzanova, L. K.; Amerkhanov, Kh. A.; Kantanen, Yu.

doi:10.3103/s1068367408010175

Cited by 6 publications

(13 citation statements)

References 13 publications

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“…The product size (bp) varied from 71 for OARCP20 to 288 for ILSTS11 in both the breeds. From the literature studied, Arora and Bhatia (2004, Farid et al(2000), Girish et al (2007), Nanekarani et al (2010) and Prema et al (2008aPrema et al ( , 2008b reported a lower mean number of alleles while the authors Arora et al (2010), Chen et al (2009), Diez-Tascon et al (2000, Jyotsana et al (2010), Ozerov et al (2008), Radha et al (2011) andRodrigo et al (2010) reported higher number of alleles than the present findings. The differences in allele number and size may be attributable to the study of unrelated local populations spread over distant geographical area, which harboured high degree of genetic variation.…”

Section: Resultscontrasting

confidence: 53%

Molecular genetic studies on Nellore and Deccani sheep using microsatellite markers

Amareswari

Prakash

Ekambaram

et al. 2017

IJAR

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The study was undertaken to understand the genetic architecture of Deccani and Nellore sheep breeds and to assess the genetic distance between the breeds. Allele diversity, genetic variability and population structure in the two breeds were estimated using 30 microsatellite markers. A total of 100 sheep, 50 each from Deccani and Nellore breeds were genotyped. The total number of alleles observed was 254 and 260 in Deccani and Nellore, respectively. The mean expected heterozygosity among the breeds ranged from 0.79 (Deccani) to 0.80 (Nellore) whereas the mean observed heterozygosity levels ranged from 0.77 in Deccani to 0.78 in Nellore sheep. The overall mean inbreeding coefficient was 0.029 in Deccani and 0.031 in Nellore sheep and of the 30 loci studied, 14 loci in Deccani and 16 loci in Nellore sheep showed negative inbreeding coefficient indicating the presence of outbreeding. However, eight loci (BM1314, BM6506, BM8125, ILSTS28, MAF70, MCM140, OarCB226 and OarFCB128) showed positive, mild to moderate inbreeding ranging from 0.007 to 0.25 in Deccani and 0.066 to 0.37 in Nellore sheep studied. The F IS values ranged from -0.372 to 0.74, F ST values ranged from 0.001 to 0.172 and F IT values ranged from -0.370 to 0.728 between the Deccani and Nellore sheep breeds studied. The PIC values ranged from 0.498 to 0.886 with a mean of 0.773 in Deccani and from 0.574 to 0.894 with a mean of 0.777 in Nellore breed. The information generated from the present study will be valuable for setting conservation priority of these two breeds.

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Section: Resultscontrasting

confidence: 53%

Molecular genetic studies on Nellore and Deccani sheep using microsatellite markers

Amareswari

Prakash

Ekambaram

et al. 2017

IJAR

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“…With the advantages of high PIC, uniform distribution in genome, and easy location, the microsatellite markers have been widely used in genetic map construction, gene location, relative relationship identification, population genetic structure analysis and marker assisted selection, etc. The polymorphic analysis of microsatellite markers played an important role in assessment of sheep genetic diversity and classification, conservation and utilization of breeds, and has been widely applied to study the genetic variation of different sheep breeds (Gizaw et al, 2007;Ozerov et al, 2008;Glowatzki-Mullis et al, 2009;Maria et al, 2010;Arora et al, 2011;Zhao et al, 2011;Sun et al, 2011;Al-Barzinji et al, 2011;Tolonea et al, 2012;Ghazy et al, 2013). Recently, Soma et al (2012) analyzed population genetic structure of the South African sheep breeds by microsatellite markers.…”

Section: Introductionmentioning

confidence: 99%

Polymorphism analysis of three Chinese indigenous sheep breeds by microsatellite markers

Bai

Yang

Wang

et al. 2015

IJAR

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In this study, six microsatellite markers were adopted to detect the genetic diversity and analyze the genetic distance of three Chinese indigenous sheep breeds. The results showed that 161 alleles were detected in the three breeds of sheep populations, and the average effective number of alleles, the average polymorphism information content (PIC) of six microsatellite markers in fat-tailed sheep, small tailed han-sheep, Yuxi fat-tailed sheep were 5.8844, 6.3103, 4.8017 and 0.7463, 0.7790, 0.7140 respectively. Five markers were highly polymorphic except marker ILSTS011 which gave moderate polymorphic. Except markers OarFCB48, OarFCB304 and BL1038, the other three microsatellite markers deviated significantly from the Hardy-Weinberg Equilibrium (P<0.01) in the three breeds of sheep populations. The genetic differentiation coefficient of each locus ranged from 0.0059 to 0.1159, with an average of 0.0482, indicating a 4.82% gene variation among different populations. So the degree of differentiation among populations was low. The small tailed han-sheep and fat-tailed sheep with minimum genetic distance (0.2163) were first clustered as a group, then they clustered with Yuxi fat-tailed sheep.

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“…According to our results all loci were polymorphic with the number of alleles per locus ranging from 5 at MAF35 to 26 at BM1314 (Figure 1). Ozerov et al (2008) The average number of alleles per locus varied between 3.9 (MAF35) and 8.5 (CSSM43) ( Table 2). Allele frequencies are available from the authors on request.…”

Section: Microsatellite Locimentioning

confidence: 99%

“…Microsatellites are excellent genetic markers because of their locus identity, high PIC value, widespread distribution in the genome, multi-allelism, co-dominant inheritance and PCR basis. In the last decades microsatellites have been used in many studies for determination of genetic difference and genetic variation among sheep breeds (Farid et al, 2000;Li et al, 2004;Gladyr et al, 2005;Gizaw et al, 2007;Ozerov et al, 2008;Glowatzki-Mullis et al, 2009).…”

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Study of genetic differences among Slovak Tsigai populations using microsatellite markers

Kusza¹,

Gyarmathy²,

Dubravska³

et al. 2009

CZECH J ANIM SCI

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ABSTRACT: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 F ST (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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Genetic features of Kazakh sheep breeds according to microsatellites

Cited by 6 publications

References 13 publications

Molecular genetic studies on Nellore and Deccani sheep using microsatellite markers

Molecular genetic studies on Nellore and Deccani sheep using microsatellite markers

Polymorphism analysis of three Chinese indigenous sheep breeds by microsatellite markers

Study of genetic differences among Slovak Tsigai populations using microsatellite markers

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