Genetic variability in three native Iranian chicken populations of the Khorasan province based on microsatellite markers

Mohammadabadi, Mohammadreza; Nikbakhti, M; Mirzaee, Hossein; Shandi, A; Saghi, Davoud Ali; Romanov, Michael N; Moiseyeva, Irina G

doi:10.1134/s1022795410040198

Cited by 45 publications

(28 citation statements)

References 10 publications

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“…The PIC values found in this study exceeded those (0.29-080) of Cameroon’s IC [21], and (0.31-0.49) of Chinese IC [21,22], but lower than those obtained by Tang for black-bone IC breeds (0.67) [24]. The mean frequency of alleles per marker found in this study (10.89) exceeded those recorded in previous reports in Cameroon (9.04) [21], in Ghana (7.8) [25], in Iran (5.4) [26], in China (3.8) [27], in Egypt (7.3) [28], in Pakistan (9.1) [29] and in Vietnam (6.41) [30]. The values obtained in this study were, however, lower than those from Brazilian (13.3) [31] and in the same range as from Ethiopian chicken ecotypes (10.6) [32].…”

Section: Discussioncontrasting

confidence: 74%

Genetic diversity and population structure of indigenous chicken in Rwanda using microsatellite markers

Habimana

Okeno

Ngeno

et al. 2019

Preprint

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AbstractRwanda has about 4.5 million of indigenous chicken (IC) that are very low in productivity. To initiate any genetic improvement programme, IC needs to be accurately characterized. The key purpose of this study was to ascertain the genetic diversity of IC in Rwanda using microsatellite markers. Blood samples of IC sampled from 5 agro-ecological zones were collected from which DNA was extracted, amplified by PCR and genotyped using 28 microsatellite markers. A total of 325 (313 indigenous and 12 exotic) chicken were genotyped and revealed a total number of 305 alleles varying between 2 and 22 with a mean of 10.89 per locus. 186 distinct alleles and 60 private alleles were also observed. The frequency of private alleles was highest in samples from the Eastern region, whereas those from the North West had the lowest. The influx of genes was lower in the Eastern agro-ecological zone than the North West. The mean observed heterozygosity was 0.6155, whereas the average expected heterozygosity was 0.688. The overall inbreeding coefficient among the population was 0.040. Divergence from the Hardy-Weinberg equilibrium was significant in 90% of loci in all the populations. The analysis of molecular variance revealed that about 92% of the total variation originated from variation within populations. Additionally, the study demonstrated that IC in Rwanda could be clustered into four gene groups. In conclusion, there was considerable genetic diversity in IC in Rwanda, which represents a crucial genetic resource that can be conserved or optimized through genetic improvement.

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Section: Discussioncontrasting

confidence: 74%

Genetic diversity and population structure of indigenous chicken in Rwanda using microsatellite markers

Habimana

Okeno

Ngeno

et al. 2019

Preprint

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“…In recent decades, breeding programs has an important effect on the genetic composition of commercial chickens (JASOURI et al, 2012). Furthermore, as rearing of native chicken is reasonable in some rural areas (MOHAMMADABADI et al, 2010), breeding them becomes important in small farms to earn more income as well as the importance of conserving the genetic variation of native breeds (EMAMGHOLIBEGLI et al, 2010). Rearing of the domestic fowl in Iran and its dissemination throughout this country has an old history.…”

Section: Introductionmentioning

confidence: 99%

Determination of the best model for estimation of genetic parameters on the Fars native chicken traits using Bayesian and REML methods

et al. 2018

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This study was conducted to determine the best model for genetic parameter estimation on the Fars native chicken traits using Bayesian and REML Methods. Studied traits were body weight at first day (BW1), body weight at eighth weeks (BW8), body weight at 12th weeks (BW12), age at sexual maturity (ASM), egg number production (EGP) and mean egg weight during 28 th ,30 th and 32 nd week ages (EGW) involving three generations 17, 18 and 19 during the years 2010 to 2012. Genetic parameters were estimated with REML method using WOMBAT software and with Bayesian approach using MTGSAM software. Based on AIC and DIC criteria, the most appropriate model was determined. Estimations of direct additive heritabilities for BW1, BW8, BW12, ASM, EGP and EGW by the best models using REML method were 0.31, 0.32, 0.29, 0.45, 0.24 and 0.22 and by Bayesian method were 0.36, 0.33, 0.30, 0.48, 0.26 and 0.25, respectively. The genetic correlation coefficients ranged from-0.709 between EGP and ASM to 0.844 between BW8 and BW12 (by Bayesian method) and ranged from-0.724 between ASM and EGP to 0.894 between BW12 and BW8 (by REML method). Generally, based on the employed criteria, the 1 st and 2 nd models can be suggested for analysis of body weight traits (BW1, BW8 and BW12), whereas for other traits (ASM, EGP and EGW), 1 st , 5 th , 4 th and 6 th models seems to be suitable for estimation of genetic parameters of the Fars Native fowls traits using Bayesian and REML Methods. The Bayesian approach recommended for estimation of genetic parameters on the Fars 432

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“…Short tandem repeats known as microsatellites are widely used as molecular markers of choice for genetic studies. 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.…”

Section: Introductionmentioning

confidence: 99%

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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Genetic variability in three native Iranian chicken populations of the Khorasan province based on microsatellite markers

Abstract: Микросателлиты из групп сцепления E26C13 и E50C23 локализованы на микрохромосомах 20 и 21 Gallus gallus domesticus

Cited by 45 publications

References 10 publications

Genetic diversity and population structure of indigenous chicken in Rwanda using microsatellite markers

Genetic diversity and population structure of indigenous chicken in Rwanda using microsatellite markers

Determination of the best model for estimation of genetic parameters on the Fars native chicken traits using Bayesian and REML methods

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

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