Variability of Microsatellites and their Association with Egg Production Traits in Chicken

Chatterjee, R. N.; Sharma, Rupam; Mishra, Aditi; Dange, M.; Bhattacharya, T. K.

doi:10.3923/ijps.2008.77.80

Cited by 18 publications

(18 citation statements)

References 7 publications

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“…Having assessed the quality of DNA using 0.7% horizontal Agarose gel electrophoresis, and its purity and quantity by NanoDrop spectrophotometer (NanoDrop Technologies, USA), the DNA samples with an intact band and optical density ratio (260/280nm) within the normal range, 1.7-1.9, were subjected to PCR analysis. A panel of ten informative microsatellite markers (Table 1) with a known association with egg production traits in various chicken breed (CHATTERJEE et al, 2008;CHATTERJEE et al, 2010a;ARYA, 2012) were selected, having been synthesized from M/s Xcelris Genomics Labs Ltd., Ahmedabad (India), and screened for use in the present study.…”

Section: Methodsmentioning

confidence: 99%

Genetic variability determination in a long-term selected Rhode Island Red chicken strain using microsatellite markers

Rahim¹,

Kumar²,

Yadav³

et al. 2017

Vet. arhiv

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variability determination in a long-term selected Rhode Island Red chicken strain using microsatellite markers. Vet. arhiv 87, 511-522, 2017. ABSTRACTGenetic improvement needs the existence and precise estimation of genetic variability, and microsatellites are a molecular marker of choice for its assessment. Rhode Island Red (RIR) is a brown-egger chicken breed. A RIR population, selected on the basis of 40-week part-period egg production for 30 generations, maintained as a closed flock to develop multi-colored strains for backyard farming, were studied to determine genetic variability and heterozygosity using microsatellite markers. Genomic DNA from 76 randomly selected birds was analyzed at 10 microsatellite loci, alleles were separated on 3.4% MetaPhor Agarose, sized using Quantity-One software and analyzed by POPGENE v1.32. Nine loci demonstrated polymorphism resolving 30 alleles, the average number of alleles/ locus being 3.00 ± 1.41. Allele numbers varied from two to six and size ranged from 102 to 320bp. The average polymorphic information content and Nei's heterozygosity were 0.3134 ± 0.064 and 0.4119 ± 0.2575, respectively, suggesting these loci to be moderately polymorphic and informative. The observed (N a ) and effective number (N e ) of alleles and Shannon's index averaged 3.0000 ± 1.4142, 2.0324 ± 0.9416 and 0.7342 ± 0.4649, respectively. N e was less than N a at most loci, indicating the prevalence of heterozygosity at these loci. Mean expected heterozygosity was higher than mean observed heterozygosity at most loci, indicating that the population was not in Hardy-Weinberg equilibrium but was under the influence of some forces such as selection, etc. The same was also demonstrated by Chi-square and G-square tests. It may be inferred that long-term selection for 40-week part-period egg production has resulted in Hardy-Weinberg disequilibrium at the studied microsatellite loci, thereby suggesting a probable association between these microsatellite loci and layer economic traits in RIR chicken, and this might be useful in marker assisted selection for egg production in future.

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Section: Methodsmentioning

confidence: 99%

Genetic variability determination in a long-term selected Rhode Island Red chicken strain using microsatellite markers

Rahim¹,

Kumar²,

Yadav³

et al. 2017

Vet. arhiv

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“…TuiskulaHaavisto et al (2002) reported that the QTL affecting egg number was found in the middle of the Z chromosome; the same group also reported that MCW0041, in the middle of chromosome 2 (218 cM), was not found to be associated with egg production or egg quality traits, which might be due to their use of a different crossbred population (RIR 9 WL). In our earlier study, we found association of egg production (up to 64 and 72 weeks of age) with the ADL0023 microsatellite marker (Chatterjee et al 2008a). Other association studies of microsatellite markers with egg production traits are limited (Tuiskula-Haavisto et al 2002;Sasaki et al 2004;Wardecka et al 2002;Chatterjee et al 2008a;Zhou et al 2008).…”

Section: Discussionmentioning

confidence: 87%

“…In our earlier study, we found association of egg production (up to 64 and 72 weeks of age) with the ADL0023 microsatellite marker (Chatterjee et al 2008a). Other association studies of microsatellite markers with egg production traits are limited (Tuiskula-Haavisto et al 2002;Sasaki et al 2004;Wardecka et al 2002;Chatterjee et al 2008a;Zhou et al 2008). Abasht et al (2006) reviewed QTLs in chickens and observed that some QTLs for egg number and egg weight are located on different chromosomes.…”

Section: Discussionmentioning

confidence: 88%

“…QTLs affecting egg number and egg weight were found in chromosomes 1, 2, 5, 6, 7, 8, 14, and Z (Abasht et al 2006;Chatterjee et al 2008a;Tuiskula-Haavisto et al 2002). One-to-one correspondence, in the form of significance, between microsatellites and phenotypes like growth, egg production, and immunocompetence traits may be the informative indicator for elucidating QTL and microsatellite relationships.…”

Section: Discussionmentioning

confidence: 97%

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Microsatellite Variability and Its Relationship with Growth, Egg Production, and Immunocompetence Traits in Chickens

et al. 2009

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Variability of microsatellites and a possible relationship with growth, egg production, and immunocompetence traits were estimated for six crossbred chicken populations of White Leghorn. Nine microsatellite markers were explored; an association study used the least square maximum-likelihood method on 170 birds of six genetic groups. Seven microsatellites were polymorphic, with two to four alleles. The polymorphism information content (PIC) of five markers was more than 52%. Microsatellites MCW0041, ADL0210, and MCW0110 were significantly (P < 0.05) associated with egg production traits. Genotype 33 of MCW0041 had the highest egg production, up to 64 and 72 weeks of age. Genotypes 11 and 13 of this marker produced the lowest number of eggs. The heterozygous genotype 34 of ADL0210 had the highest egg production, up to 52, 64, and 72 weeks of age. Homozygote 11 of MCW0110 produced the highest number of eggs, up to 28 weeks of age. MCW0041 was significantly (P < 0.05) associated with body weight at 28 and 40 weeks of age. No microsatellite was significantly associated with egg weight at any age, with age at sexual maturity, or with immune response to sheep RBC.

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“…Microsatellite markers were originally utilized for genetic mapping (Tuiskula et al, 2002;Ambady et al, 2002) and were extensively used for linkage analyses in the association with disease susceptibility genes (McElroy et al, 2005;Wardecka et al, 2004).Microsatellite markers have been used for quantitative trait locus (QTL) detection in several programs involving chicken, turkeys, ducks and quails in various parts of the world (Hocking, 2005). Estimation of association between microsatellites and economic traits was undertaken (Pandey et al, 2005;Chatterjee et al, 2008Chatterjee et al, , 2010Rajkumar et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Association between microsatellite regions and reproduction related traits in indigenous chicken ecotypes

Rudresh¹,

Murthy²,

Kotresh³

et al. 2016

IJAR

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The present study was carried out in six indigenous ecotypes of two divisions of Karnataka to assess association of twenty microsatellite regions of thirteen chicken autosomes with age, body weight and egg weight at sexual maturity and Forty week egg production. The general molecular technique protocols were adopted wherever required in PCR, electrophoresis, gel staining and reading. The analysis revealed significant difference (p<0.05) among genotypes combined across ecotypes for nineteen microsatellite loci for body weight at sexual maturity. The analysis revealed significant difference (P<0.05) among genotypes combined across ecotypes for eighteen microsatellite loci for EWSM. The posthoc dunnet's test conducted in one of the microsatellite region ADL0020 genotypes after excluding genotypes with only one bird at 0.05 level of significance revealed that a particular genotype A was significantly different from two of the genotypes C and D, indicating the important role of the corresponding alleles of these genotypes in influencing the Body weight at sexual maturity. The validity of using thus identified markers or alleles need further authentication by research in other populations and further proof by expression studies.

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Variability of Microsatellites and their Association with Egg Production Traits in Chicken

Cited by 18 publications

References 7 publications

Genetic variability determination in a long-term selected Rhode Island Red chicken strain using microsatellite markers

Genetic variability determination in a long-term selected Rhode Island Red chicken strain using microsatellite markers

Microsatellite Variability and Its Relationship with Growth, Egg Production, and Immunocompetence Traits in Chickens

Association between microsatellite regions and reproduction related traits in indigenous chicken ecotypes

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