The Use of Microsatellite Markers to Study Genetic Diversity in Indonesian Sheep

Jakaria, Md.; Zein, Sharif Hussein Sharif; Sulandari, Sri; Subandriyo,; Muladno,

doi:10.14710/jitaa.37.1.1-9

Cited by 14 publications

(18 citation statements)

References 11 publications

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“…However, a higher number of alleles for each locus showed that all the markers used were appropriate to analyze diversity in studied breeds. The level of variation depicted by number of alleles at each locus was similar to earlier reports on sheep breeds (Arora and Bhatia, 2006;Jakaria et al, 2012;Hepsibha et al, 2013;Crispim et al, 2014). Among the types, the mean of PIC ranged from 0.72 in LRB-PAK to 0.88 in ARB, and Shannon information index ranged from 1.58 in KER-PAK to 2.27 in ARB.…”

Section: Discussionsupporting

confidence: 88%

“…This can be attributed to the excess of heterozygote individuals than homozygote individuals, migration, high mutation rate in microsatellite, artificial selection in all breeds and population subdivision owing to genetic drift (Aminafshar et al, 2008). Deviation from HWE at microsatellite loci has also been reported in various studies (Esmaeilkhanian and Banabazi, 2006;Banabazi et al, 2007;Nanekarani et al, 2010;Jakaria et al, 2012;Hepsibha et al, 2013;Crispim et al, 2014). It is known that a population is considered to be in HWE only when it is able to maintain its relative allelic frequencies.…”

Section: Discussionsupporting

confidence: 58%

“…Advantages of microsatellites are a high degree of polymorphism due to existence of several alleles at each locus, their large number, distribution throughout the genome, a high level of polymorphism, neutrality with respect to selection, codominant inheritance and easy automation of analytical procedures (Canon et al, 2006;Mohammadifar et al, 2009;Mohammadabadi et al, 2010). Several studies have investigated the genetic diversity in sheep using microsatellites (Buchanan and Thue, 1998;Esmaeilkhanian and Banabazi, 2006;Bhatia and Arora, 2007;Nanekarani et al, 2010;Sun et al, 2010;Jakaria et al, 2012;Musthafa Muneeb et al, 2012;Hepsibha et al, 2013;Crispim et al, 2014), but a study of all Iranian sheep together has not been performed until now. Hence, the aim of the present study was to evaluate the genetic diversity within and between 14 sheep types in Iran (Kermani, Pakistani, Lori, Arabi, Dalagh, Baluchi, Iran-Black, Gharegol, Arman, Lori-Bakhtiari, Kermani-Pakistani, KermaniRomanov, Lori-Bakhtiari-Romanov and Lori-BakhtiariPakistani) using five microsatellite markers and to measure the distance among these breeds.…”

Section: Introductionmentioning

confidence: 99%

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Using microsatellite markers to analyze genetic diversity in 14 sheep types in Iran

2017

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Abstract. Investigation of genetic relationship among populations has been traditionally based on the analysis of allele frequencies at different loci. The prime objective of this research was to measure the genetic polymorphism of five microsatellite markers (McMA2, BM6444, McMA26, HSC, and OarHH35) and study genetic diversity of 14 sheep types in Iran. Genomic DNA was extracted from blood samples of 565 individuals using an optimized salting-out DNA extraction procedure. The polymerase chain reaction (PCR) was successfully performed with the specific primers. Some locus-population combinations were not at Hardy-Weinberg equilibrium (P < 0.05). The microsatellite analysis revealed high allelic and gene diversity in all 14 breeds. Pakistani and Arabi breeds showed the highest mean number of alleles (11.8 and 11 respectively), while the highest value for polymorphic information content was observed for the Arabi breed (0.88). A UPGMA (unweighted pair group method with arithmetic mean) dendrogram based on the Nei's standard genetic distance among studied breeds showed a separate cluster for Arabi and Pakistani breeds and another cluster for other breeds. The Shannon index (H0) for McMA2, BM6444, McMA26, HSC, and OarHH35 was 2.31, 2.17, 2.27, 2.04 and 2.18, respectively, and polymorphic information content (PIC) values were 0.88, 0.92, 0.87, 0.84, and 0.86 for McMA2, BM6444, McMA26, HSC, and OarHH35, respectively. The high degree of variability demonstrated within the studied sheep types implies that these populations are rich reservoirs of genetic diversity that must be preserved.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionsupporting

confidence: 58%

Section: Introductionmentioning

confidence: 99%

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Using microsatellite markers to analyze genetic diversity in 14 sheep types in Iran

2017

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“…The number of alleles per locus for the three breeds studied ranged from 7 to18, indicating of genetic polymorphism within the tested Mahmoud et al 175 sheep populations. This range was comparable with that observed (6-18) in four Romanian sheep populations (Kevorkian et al, 2010;Jakaria et al, 2012). It was higher than that observed by Pramod et al (2009) in Vembur sheep population of South India (2-9) and by Radha et al (2011) in Kilakarsal sheep population (3-12).…”

Section: Discussionsupporting

confidence: 88%

“…The mean observed heterozygosity values in the present study were 0.895, 0.938 and 0.719 for SW, BR and NJ sheep breeds, respectively, with a grand mean of 0.851. This value is higher than that reported by other studies of Indonesian sheep (0.574), Coimbatore sheep in India (0.625) Turkish sheep (0.66) and Colombian sheep (0.680) (Jakaria et al, 2012;Hepsibha et al, 2014;Yilmaz et al, 2015;Ricardo et al, 2016, respectively). On the other hand, the expected heterozygosity (He), the best estimator of genetic diversity in a population (Kim et al, 2002), was 0.782, 0.741 and 0.716 for SW, BR and NJ sheep, respectively, with a grand mean of 0.746.…”

Section: Discussionmentioning

confidence: 51%

Genetic diversity among Sawakni, Berberi and Najdi sheep breeds in Saudi Arabia using microsatellites markers

Mahmoud¹,

Swelum²,

Farah³

et al. 2017

Afr. J. Biotechnol.

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The present study was conducted to assess the genetic diversity and population genetic structure of three sheep populations namely; Sawakni (SW), Berberi (BR) and Najdi (NJ), in Saudi Arabia, utilizing 45, 18 and 31 individual blood DNA extractions, respectively. Seventeen microsatellite markers were used to genotype these 94 sheep individuals. There were 195 alleles generated employing the 17 microsatellites loci with a mean of 11.47 alleles per locus, with a range of observed and expected heterozygosity from 0.651 to 0.989 and 0.590 to 0.816, respectively. The total number of alleles of 169, 127 and 111, and their means of effective number of alleles of 4.983, 4.192 and 3.781 were observed in SW, BR and NJ populations, respectively. Thirteen of the microsatellites loci studied in SW, seven loci in BR and five loci in NJ were found to be deviated from Hardy-Weinberg Equilibrium. The fixation genetic indices (F ST ) among the three populations were very low, ranging from 0.029 (between SW and BR) to 0.038 (between NJ and BR), indicating low population differentiation among the three sheep populations. The present study showed that the microsatellite markers are powerful tools in breeding programs, however more microsatellites may be needed for a broad judgment on the genetic status of the sheep populations in Saudi Arabia.

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Wool characteristics of Batur sheep in Banjarnegara District, Central Java

Tiesnamurti¹,

Teresia²,

Zuratih³

2021

E3S Web Conf.

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The study's objective was to investigate the different types of coat cover from Batur sheep of Banjarnegara district in Central Java using 113 sheep belongs to 13 people member of Mulya Jaya farmers group. Sheep were raised at the centre of horticulture at the Batur-Dieng plateau. The main vegetable type planted in the area were carrot, potato and cabbage. The variables observed in the study were wool cover (score 1-9), the length of wool (cm), breed, sex, age and sheep body weight (kg). The data were analyzed using a general linear model, with the dependent variable were body weight and wool length whereas the independent variable were sex, location of the study, farmers, breed, sex and age. The result showed that 77.9% of sheep has wool distribution (score =0), most of the sheep (98.2%) has white color and only very small percentage has black, brown color. The average body weight and wool length of Batur sheep was 41.4 kg (range 15-97 kg) and 6.97 cm (range 4-17 cm), respectively, and there was a significant (P<0.05) influence of farmers, breed, sex and age. The Batur sheep is a wool type sheep and still maintain the characteristic of merino sheep.

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The Use of Microsatellite Markers to Study Genetic Diversity in Indonesian Sheep

Cited by 14 publications

References 11 publications

Using microsatellite markers to analyze genetic diversity in 14 sheep types in Iran

Using microsatellite markers to analyze genetic diversity in 14 sheep types in Iran

Genetic diversity among Sawakni, Berberi and Najdi sheep breeds in Saudi Arabia using microsatellites markers

Wool characteristics of Batur sheep in Banjarnegara District, Central Java

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