Microsatellite Analysis of Genetic Diversity in Indian Chicken Populations

Pirany, N.; Romanov, Michael N; Ganpule, Suhash P.; Devegowda, Govindaiah; Prasad, D.

doi:10.2141/jpsa.44.19

Cited by 29 publications

(33 citation statements)

References 20 publications

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“…Takahashi and Nakamura (2007) reported a total of 83 alleles in four strains (NG1-4) of the Nagoya breed of chicken of Japan, with a range of mean number of alleles per microsatellite locus of 2.58-3.13, which is in agreement with the present study (mean alleles per locus of 3.21), though they used different sets of microsatellites and populations. The number of alleles observed in the present study, however, was lower than the number of alleles observed by earlier workers in other chicken populations (Cheng et al 1995;Yu et al 2006;Pirany et al 2007;Pandey et al 2005;Rajkumar et al 2008). The low polymorphism in this study could be due to long-term selection in the pure-line white leghorn populations, from which the crossbred populations were generated.…”

Section: Discussioncontrasting

confidence: 85%

“…The low polymorphism in this study could be due to long-term selection in the pure-line white leghorn populations, from which the crossbred populations were generated. Pirany et al (2007) also observed low polymorphism in a commercial layer population. The genotype frequencies were distributed from low to moderate for most of the microsatellites, except for MCW0014, which varied from low to very high ( Table 2).…”

Section: Discussionmentioning

confidence: 74%

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Assessment of Genetic Relatedness of Crossbred Chicken Populations Using Microsatellite Markers

et al. 2010

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To measure genetic relatedness between populations, for breeding purposes, we analyzed 170 birds from six crossbred populations of three pure lines of White Leghorn chickens, using 14 microsatellite markers. All the microsatellites were polymorphic, with 2-6 alleles. The mean number of alleles per locus was 3.21. The effective number of alleles varied from 1.14 to 3.94. The observed heterozygosity varied from 0.133 to 1.00, with a mean of 0.748. The F (IS) values were mostly negative, with an average of -0.345. The mean F (ST) value was 0.056. The Nm values ranged from 1.91 to 42.17. The highest genetic identity was observed between IWI x IWK and IWK x IWI. The relation between any two groups of crosses was more than 85%. The results suggest that the crossbred populations were very closely related.

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Section: Discussioncontrasting

confidence: 85%

Section: Discussionmentioning

confidence: 74%

Assessment of Genetic Relatedness of Crossbred Chicken Populations Using Microsatellite Markers

et al. 2010

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“…The mean effective number of alleles was 2.4, the lowest value (2.0) was found in B and L2 strains while the highest value was 2.7 in Classical chicken. This averaged value was equal to the one found in red jungle fowl population (2.4) but lower compared to the value of 3.7 found in Indian chickens using 9 microsatellite markers (Pirany et al, 2007). Among 13 populations, two populations, Hakka chicken and White broiler had no private alleles.…”

Section: Genetic Diversity Within Chicken Breedscontrasting

confidence: 53%

“…The observed number of private alleles averaged 2.6 for overall Pham et al: Genetic Diversity of Taiwan Chicken Breeds 10 TCOM populations. This value is lower than 10 alleles in red jungle fowl (Table 1) and 9.8 alleles in Indian chickens (Pirany et al, 2007). Allelic richness, based on minimum sample size of nine diploid individuals, averaged 3.3 which varied from 2.7 in B strain to 3.8 in Classical chicken, respectively.…”

Section: Genetic Diversity Within Chicken Breedsmentioning

confidence: 70%

Genetic Characterization of Taiwan Commercial Native Chickens Ascertained by Microsatellite Markers

et al. 2013

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Taiwan commercial native chickens have played a vital role in the domestic market due to Taiwanese traditional cooking style and culture. This study investigated the genetic characterization and population structure of 10 Taiwan commercial native chicken populations, together with two exotic breeds and one population of red jungle fowl, using 22 microsatellites. The results showed that Taiwan commercial native chickens generally harbored high genetic diversity but lower than that of red jungle fowl population in terms of number of alleles and gene diversity. The neighbor-joining tree revealed a poor resolution with only two branches showing bootstrap values above 70%. Based on Bayesian clustering approach, thirteen populations were inferred into eight distinct clusters namely Game bird, B strain, L2 strain, White Broiler and White Leghorn with an average proportion of membership higher than 0.90 and the values higher than 0.85 for red jungle fowl, Hakka chicken and Hakka strain while four remaining breeds were closely related together. The population structure showed Taiwan commercial native chickens are more admixed, in contrast to occidental highly productive breeds. The high genetic variation within breed as shown in the results of the analysis of molecular variance, facilitated by gene exchanges, did not allow discriminating in an efficient way. This suggests that the genetic pool of Taiwan commercial native chickens is well distributed among breeds and therefore there is a good potential for adaptation to new environmental conditions or markets. Some populations, namely L2 strain and B strain showed very high inbreeding coefficient and thus could be considered at risks. Therefore, management needs to be taken into account for the populations, to prevent inbreeding depression and maintain genetic diversity.Key words: Bayesian clustering approach, genetic diversity, microsatellite, population structure, Taiwan J. Poult. Sci., 50: 290-299, 2013 Introduction Chicken meat and egg play an important role in Chinese traditional cuisine in Taiwan. There was 40 to 50% chicken meat from imported exotic White broiler (USDA, 2006) while the remaining meat production comes from Taiwan commercial native chickens (TCOM). For instance, Red feathered and Black feathered chickens produce about 80% of TCOM and the remaining 20% comes from commercial slow-growing local breeds such as Silkies, Naked Neck, Game bird, Hakka chicken, Golden chicken and Classical chicken (Lee, 2006). Taiwan native chickens were frequently crossed with imported exotic breeds (broiler-type rooster) to produce TCOM and selected by local farmers for high body weight, feed efficiency and their ability to adapt to local conditions since 1960s (Lee, 2006).Genetic diversity of chicken genetic resources provides the basis for genetic improvement in order to increase productivity but also to adapt domestic populations to changes in production environments as well as in markets, management practices, and disease challenges Boettcher et al., 2010). Moreove...

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“…Polymorphism of the region was in- (Weigend et al, 2010). Analysis of sequences of mtDNA control regions revealed that the variability of genetic diversity of native chicken breeds, which is high in Sri Lankan chickens (Silva et al, 2009), medium level in Zimbabwean and Indian chickens (Muchadeyi et al, 2008;Pirany et al, 2007) and low in Chinese, Japanese and several native African chickens (Niu et al, 2002;Oka et al, 2007;Muchadeyi et al, 2008). However, D-loop region in mtDNA may play a vital role in measurement of diversity and in describing and evaluating the population structure.…”

Section: D-loop Regionmentioning

confidence: 99%

DNA markers in chicken for breed discrimination

Hoque¹,

Lee²,

Lee

2012

CNU Journal of Agricultural Science

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:There is an emerging interest in using DNA markers for breed identification in animals. This article reviews the breed identification markers in chicken, mainly developed in Chungnam National University, with particular emphasis on the mitochondrial DNA markers and the nuclear DNA markers including the SNPs in MHC region and the plumage color related MC1R markers. This information would be very useful for an appropriate conservation breeding program as well as for the establishment of molecular markers for chicken breed identifications.

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Microsatellite Analysis of Genetic Diversity in Indian Chicken Populations

Cited by 29 publications

References 20 publications

Assessment of Genetic Relatedness of Crossbred Chicken Populations Using Microsatellite Markers

Assessment of Genetic Relatedness of Crossbred Chicken Populations Using Microsatellite Markers

Genetic Characterization of Taiwan Commercial Native Chickens Ascertained by Microsatellite Markers

DNA markers in chicken for breed discrimination

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