Application of microsatellite markers for breeding and genetic conservation of herds of Pantaneiro sheep

Crispim, Bruno do Amaral; Seno, Leonardo de Oliveira; Egito, A. A. do; Vargas, Fernando Miranda de; Barufatti, Alexéia

doi:10.1016/j.ejbt.2014.09.007

Cited by 16 publications

(23 citation statements)

References 20 publications

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“…Of the different types of molecular markers, STRs are suitable for studying genetic diversity because of their abundancethe large amount of allelic variation at each locus is highly polymorphic, their distribution throughout the genome is random, and inheritance is codominant (Rekha et al, 2016;Barcaccia et al, 2013;Putman et al, 2014). In addition, STRs are able to generate information for the planning of crossings and further selection of genotypes in genetic breeding programs (Faleiro et al, 2007;Crispim et al, 2014). The objective of the current research was to investigate 12 STR loci based on genetic diversity in sheep herds as well as the differentiation and relationship among the number of alleles and genetic links between Kazakh sheep breeds.…”

Section: Introductionmentioning

confidence: 99%

Genetic diversity of different breeds of Kazakh sheep using microsatellite analysis

et al. 2019

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A total of 75 individuals from five sheep populations in Kazakhstan were investigated based on 12 STR (short tandem repeat, also known as microsatellite) markers in order to study their genetic structure and phylogenetic relationship based on genetic distances. These sheep had a high level of genetic diversity. In total, 163 alleles were found in all the populations using 12 microsatellite loci. The mean number of alleles, effective number of alleles, and polymorphism information content (PIC) values per loci were 13.4, 5.9, and 0.78, respectively. Comparing the allelic diversity between the populations, the highest genetic diversity was observed in the Edilbay-1 sheep breed (8.333±0.644), and the lowest parameter was for Kazakh Arkhar-Merino (7.083±0.633). In all populations, there is a deficiency of heterozygosity. The largest genetic diversity was found in loci INRA023 and CSRD247 with 16 alleles, and the smallest polymorphism was noted for the locus D5S2 with 8 alleles. The level of observed heterozygosity was in the range 0.678±0.051 for Kazakh Arkhar-Merino and 0.767±0.047 for Kazakh fat-tailed coarse wool. The expected heterozygosity level range was from 0.702±0.033 for Kazakh Arkhar-Merino to 0.777±0.023 for Edilbay-1. When 12 microsatellite loci are compared, the OarFCB20 locus showed the highest level of genetic variability. Excess of heterozygosity was observed at three loci; MAF065, McM042, and OarFCB20. The highest genetic distance was observed between Kazakh Arkhar-Merino and Edilbay-1, whereas the genetic distance between Edilbay-1 and Edilbay-2 is the smallest using Nei's standard genetic distance. The Edilbay-1 sheep breed possesses the largest genetic diversity among these five populations.

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Section: Introductionmentioning

confidence: 99%

Genetic diversity of different breeds of Kazakh sheep using microsatellite analysis

et al. 2019

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“…The results showed that average unbiased heterozygosity (Hz) of microsatellite markers studied in fat-rumped breeds, composite breeds, indigenous fat-tailed breeds, Karakul breeds and the wool breeds was 0.466, 0.555, 0.598, 0.659 and 0.662 respectively. Crispim et al (2014) reported that the population of Pantaneiro sheep from the UFGD exhibited a high average number of alleles (11.13) and allelic richness (10.66). The polymorphic information content was highly informative in the locus studied, resulting in a mean value of 0.71.…”

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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“…A total number of 100 alleles were estimated in the studies conducted on Pantaneiro sheep using eight microsatellite loci. The mean number of alleles per locus was 12.5 with a range of alleles from seven (SPS113) to 21 (OarCP49) (Crispim et al, 2014). Kunene et al (2014)…”

Section: Genetic Diversity Analysis Of Threementioning

confidence: 99%

“…The expected heterozygosity ranged from 0.5149 (MM12) to 0.8405 (MAF33). Crispim et al (2014) analysed Pantaneiro sheep and estimated the mean observed and expected heterozygosity values as 0.62 ± 0.13 and 0.71 ± 0.09, respectively. Kunene et al (2014) reported that the mean values for observed (H o ) and expected (H e ) heterozygosity were 0.57 and 0.61, respectively in studies conducted on four populations of Nguni (Zulu) sheep.…”

Section: Genetic Variation Studies On Barki Ossimi and Rahmani Sheepmentioning

confidence: 99%

Studies on Genetic Variability in Nellore Brown Sheep Using Microsatellite Markers

Jonnakutti¹,

Bhupathi²,

Ekambaram³

et al. 2018

Int. J. Livest. Res.

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Nellore sheep is the tallest mutton breed of India and its home tract is Nellore and Prakasam districts of Andhra Pradesh, but widely distributed throughout the state of Andhra Pradesh and parts of Telangana. Three varieties are distinguished phenotypically based on coat colour as Palla (completely white), Jodipi (white with black patches) and Dora/Brown (completely brown). Nellore Brown sheep are predominantly present in Rayalseema region (Kadapa, Kurnool, Anantapur districts) of Andhra Pradesh. This breed is well known for its disease resistance and thrives well in harsh climatic conditions of Rayalseema. The assessment of genetic variability is important to monitor the gene flow in populations, for conservation of breed and also to determine the level of inbreeding in the population. The present study was undertaken to evaluate the genetic variability present in Nellore Brown sheep population by using twenty four microsatellite markers from the panel of markers recommended by ISAG-FAO for the genetic diversity studies in sheep. A total of fifty blood samples were collected at random from unrelated Nellore Brown animals maintained by farmers in its breeding tract. Phenol-chloroform method was used for isolation of DNA from blood samples. The quality and quantity of isolated DNA was checked using gel electrophoresis and Nanodrop spectrophotometer, respectively. The PCR products were resolved using agarose gel electrophoresis. The allele size for each locus was scored manually from the electrophoresed gels. The allele frequencies, observed number of alleles (N a), effective number of alleles (N e), observed (H o) and expected (H e) heterozygosity, within population inbreeding estimates (F IS) were computed using POPGENE version 1.32 software. A total of 216 alleles were identified across all the twenty four microsatellite loci studied. The number of alleles at each locus varied from a minimum of four (HUJ616) to a maximum of thirteen (OarCP49) with a mean of 9.0 alleles across all loci. Allele size ranged from a minimum of 75 bp (OarCP49) to a maximum of 297 bp (HSC), while allele frequencies ranged from 0.0102 to 0.3980. The most frequent allele number was nine. The number of effective alleles ranged from 3.8757 (HUJ616) to 9.6232 (OarCP49). The mean number of effective alleles with an overall mean of 6.78 ± 1.79 alleles. The observed heterozygosity ranged from 0.0408 (BM1314) to 0.1429 (OarHH35, OarHH41) with a mean value of 0.0985 ± 0.025, whereas, the expected heterozygosity ranged from 0.7420 (HUJ616) to 0.8961(OarCP49) with a mean value of 0.8409 ± 0.046. All the twenty four microsatellite loci (100 percent) were found to be highly polymorphic and the PIC values ranged from 0.6945 (HUJ616) to 0.8961 (OarCP49) with a mean PIC value of 0.8240 ± 0.061. The inbreeding estimates obtained in this study were all positive and varied from 0.8318 (OarHH35) to 0.9534 (BM1314). The mean F IS value of 0.8825 ± 0.03 indicated the deficiency of heterozygotes. The Chi-square test revealed that all the twenty four loci were...

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Application of microsatellite markers for breeding and genetic conservation of herds of Pantaneiro sheep

Cited by 16 publications

References 20 publications

Genetic diversity of different breeds of Kazakh sheep using microsatellite analysis

Genetic diversity of different breeds of Kazakh sheep using microsatellite analysis

Polymorphism analysis of three Chinese indigenous sheep breeds by microsatellite markers

Studies on Genetic Variability in Nellore Brown Sheep Using Microsatellite Markers

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