JWPR  
Poultry Research  
J. World Poult. Res. 10(2S): 125-132, June 14, 2020  
Journal of World’s  
Research Paper, PII: S2322455X2000017-10  
License: CC BY 4.0  
Assessment of Genetic Variability and Population Structure of Five  
Rabbit Breeds by Microsatellites Markers Associated with Genes  
Tarik S.K.M. Rabie  
Department of Animal Production, Faculty of Agriculture, Suez Canal University. Ismailia, 41522. Egypt.  
*Corresponding author’s e-mail: Tarik.rabie@agr.suez.edu.eg; ORCID: 0000-0001-9678-2323  
Received: 22 Feb. 2020  
Accepted: 26 Mar. 2020  
ABSTRACT  
The present study was intended to estimate the specific genetic variants by using nine genetic markers among five  
rabbit breeds (New Zealand White, California, Chinchilla, Flander, and Babion) in Egypt. A total of 128 animals  
were used (19-35 rabbits per breed). A total of 97 alleles were detected across the breeds and the average number of  
alleles per locus was 2.16±0.11. Five private alleles were present in Babion breed, where the locus  
INRACCDDV0023 had two private alleles of 293 and 297 base pairs with allele frequencies of 0.4 and 0.1,  
respectively. The INRACCDDV0036, INRACCDDV0304, and INRACCDDV0241 loci had private allele for each  
(185bp (freq: 0.24), 197 (freq: 0.47), and 137bp (freq: 0.26), respectively). The mean of He values ranged from  
0.35±0.06 to 0.49±0.07. The average of the polymorphic information content was 0.41 (ranged from 0.298 at  
INRACCDDV0211 to 0.599 at INRACCDDV0036 locus). To estimate the genetic deviation of the five rabbit breeds,  
two parameters were evaluated: genetic differentiation (FST), and genetic distance. The FST values varied from 0.029  
(INRACCDDV0036) to 0.785 (INRACCDDV0022). The similarity matrix showed that the Chinchilla breed was  
distinct from other breeds. In addition, among the nine loci, the Hardy-Weinberg equilibrium was highly significant  
for five loci. Therefore, the rabbit breeds are good reservoirs of allelic diversity that is the major basis for genetic  
improvement. Consequently, the breeders need a formal conservation plan for such breeds that are in danger of  
extinction in near future.  
Key words: Genetic diversity, Microsatellite marker, Production performance, Rabbits  
INTRODUCTION  
may be related to the rapid evolution of proteins (Huntley  
and Golding, 2000; Katti et al., 2000). In this way, the aim  
of the current study was to utilize the microsatellite  
markers to estimate the genetic variations among five  
rabbit breeds in Egypt.  
Rabbits are phylogenetically closer to humans than to  
rodents. The rabbits’ genetic map is still very limited to  
only one partial map (Korstanje et al., 2001, 2003). During  
the last 20 years, only markers detectable by conventional  
biochemical, immunological, and morphological methods  
have been used for linkage studies in the rabbit (Korstanje,  
2000). Moreover, information about genetic variation help  
to design successful methodologies for the protection and  
restoration of natural populations. Previously, few efforts  
were initiated to conserve the available superior  
germplasm of the rabbits in Egypt (Grimal et al., 2012;  
The discovery of microsatellites in transcripts and  
regulatory districts of the genome empowered logic  
scientific enthusiasm for finding their conceivable  
MATERIALS AND METHODS  
Ethical approval  
The experiment was carried out according to the  
National Regulations on Animal Welfare and Institutional  
Animal Ethics Committee.  
Animals  
The present experiment was conducted at the  
laboratory of biotechnology, Animal Production & fish  
resources Department, Faculty of Agriculture, and the  
biotechnology research institute, Suez Canal University to  
identify the genetic variant between five rabbits’ breeds in  
terms of detection of genetic diversity between New  
Zealand White (NZW, n=35), California (Cal, n=35),  
Flander (F, n=19), Chinchilla (Ch, n=19), and Babion (B,  
n=20), with a total number of 128 animals ranged between  
19-35 animals per breed.  
biological functions. microsatellite markers play  
a
significant role in the guideline of transcription regulation,  
association of chromatin, the cell cycle and genome size  
(Li et al., 2004; Gao et al., 2013). Also, several reports  
indicated that microsatellites are common in various  
proteins and the frameworks engaged with their genesis  
To cite this paper: Rabie TSKM (2020). Assessment of Genetic Variability and Population Structure of Five Rabbit Breeds by Microsatellites Markers Associated with Genes. J.  
125  
Rabie, 2020  
Therefore, genotyping of the microsatellite markers was  
Blood samples and DNA extraction  
A total of 128 individual blood samples representing  
the five rabbit’s breeds were randomly collected according  
to the institutional ethical norms of the Faculty of  
Agriculture, Suez Canal University, Egypt. About 1ml of  
blood from the marginal ear vein was individually  
collected in a tube treated with K3-EDTA (FL medical,  
Italy) and stored at -20°C until DNA extraction. Genomic  
DNA was extracted using Quick-gDNA MiniPrep (Zymo  
Research, USA) to provide superior performance and high  
purity and yield of extracted DNA. The quality of  
extracted DNA was examined by NanoDrop® ND-1000  
UV-Vis Spectrophotometer enabling highly accurate  
analyses with remarkable reproducibility.  
done using QIAxcel advanced system.  
Statistical analysis  
From the data observed from codominant markers,  
genetic diversity was assessed by calculating the observed  
(No), effective number of alleles (Ne), the observed (Ho)  
and the expected (He) heterozygosity using GenAlEx 6.5  
package (Peakall and Smouse, 2012). The Cervus 3.0.7  
program (Kalinowski et al., 2007) was used to assess the  
polymorphism information content (PIC) according to the  
formula:  
where Pi and Pj  
are the frequencies of the ith and jth alleles at a locus with l  
alleles in a population, respectively and n was the number  
of alleles.  
Selection of markers and genotyping  
Nine microsatellite markers within genes were  
selected (Table 1) according to Chantry-Darmon et al.  
(2005). To facilitate, all markers obtained were first tested  
on the rabbit’s genomic DNA for polymorphism, then the  
PCR reactions were performed in a 25µl final volume  
containing 6µl of 100 ng of DNA, 6 µl of the PCR Super  
Mix contained 1.1x buffer (Invitrogen, 10572-014),  
forward and reverse primers (0.2 1uM each), and  
nuclease-free dH2O to final volume of 25 ul. An  
Eppendorf thermal cycler was used along with the  
following P CR profile settings: 5 min at 95oC followed by  
35 cycles for 30 sec at 95oC, 45 sec at 53oC, 55oC, 57oC or  
59oC annealing temperature, and 60 sec at 72oC, followed  
by an elongation step at 72oC for 10 min, and finally stop  
step at 4oC. Subsequently, PCR products were  
electrophoresed on 1.5% agarose gel containing 0.5%  
ethidium bromide which viewed under UV light.  
The F-statistics of pairwise genetic differentiation  
among the breeds (FST), reduction in heterozygosity due to  
inbreeding for each locus (FIT) and the reduction in  
heterozygosity due to inbreeding within each breed (FIS)  
were obtained using AMOVA approach as implemented in  
GenAlEx 6.5. (Peakall & Smouse, 2012). Additionally,  
deviation from Hardy-Weinberg equilibrium (HW) at each  
locus in each breed was tested was examined using  
GENEPOP program (Raymond and Rousset, 1995). To  
minimize the consequences of genotyping errors, those  
alleles found in only one type in at least two individuals  
were private ones. Genetic distances between breeds were  
calculated based on allelic frequencies (Nei, 1987) and a  
phylogenetic was constructed with the advantage of the  
Table 1. Characteristics of microsatellite markers used in the present study  
PCR  
Temp1  
(°C)  
Accession  
number  
Associated  
gene symbol  
Locus  
OCU  
Gene description  
Map position  
INRACCDDV0248  
INRACCDDV0036  
INRACCDDV0022  
INRACCDDV0211  
INRACCDDV0221  
INRACCDDV0304  
INRACCDDV0241  
INRACCDDV0031  
INRACCDDV0023  
1
3
AJ874579  
AJ874398  
AJ874385  
AJ874545  
AJ874555  
AJ874626  
AJ874574  
AJ874394  
AJ874386  
PMCH  
CD14  
Pro-melanin concentrating hormone  
Cyclin-dependent kinase inhibitor in the CIP/KIP family  
Epidermal growth factor receptor3  
Hyaluronan synthase 3  
57  
59  
59  
59  
57  
53  
55  
57  
57  
1ql5.1-ql5.2  
3p21prox  
4q11  
4
ERBB3  
HAS3  
GPR37  
EGFR  
TIAM1  
CAI2  
5
5q14  
7
G protein-coupled receptor 37  
7p21-p12  
10ql6ter  
14q25  
10  
14  
17  
18  
Epidermal growth factor receptor  
T cell lymphoma invasion and metastasis 1  
Carbonic anhydrase 12  
17q11  
CYP2C18 Cytochrome P450 family 2 subfamily C member 18  
18q31  
OCU: Rabbit chromosomes, 1The optimal annealing temperature in the PCR reaction.  
126  
J. World Poult. Res., 10(2S): 125-132, 2020  
on biochemical markers. In order to evaluate the genetic  
RESULTS AND DISCUSSION  
variation within breeds, total number of alleles, number of  
alleles per locus, private alleles, expected heterozygosity  
(He, estimated by Nei, 1978) and observed heterozygosity  
(Ho) have calculated.  
Genetic markers polymorphism  
All microsatellite loci typed were polymorphic. The  
number of alleles per locus, polymorphic information  
content, expected and observed heterozygosity across all  
the breeds used are presented in table 2. A total of 97  
alleles were detected across the breeds. The typical range  
of alleles per locus discovered over loci and breeds was  
2.16 ±0.11 alleles. The highest number was four alleles  
and was detected in INRACCDDV0023 and  
INRACCDDV0036 loci. However, the lowest number was  
two alleles and was detected in INRACCDDV0022 and  
INRACCDDV0221 loci. These findings were consistent  
with Tian-Wen et al. (2010) who reported the average  
number of alleles was 6.63 and ranged from 2.86 to 9.92.  
Moreover, Xin-Sheng et al. (2008) found that the average  
number of alleles was 4.5 (ranged from 3 to 6 alleles) in  
Wan line Angora rabbits.  
Interestingly, Grimal et al. (2012) found an average  
number of 5.41, ranged from 2 to 12 alleles, with the  
highest number for INRACCDDV0087 and the lowest for  
INRACCDDV0105. Also, El-Aksher et al. (2016) reported  
the average number of alleles for Moshtohor line rabbits  
was 6.75. Allele frequencies across microsatellite loci  
were different (Figure 5) that it was due to the differences  
in the distribution of the allele frequency for each allele  
size among the breeds. The highest allele frequency was  
0.846 for the INRACCDDV0023 with the allele sizes of  
211 bp in Chinchilla. The highest allele frequency in NZW  
and Flander rabbits was 0.842 and 0.763 for  
INRACCDDV0211 marker with the allele size of 206 bp,  
respectively. Moreover, the highest allele frequency in  
California breed was 0.757 for the INRACCDDV0304  
marker with allele size of 304 bp (Figure 1).  
Observed and expected heterozygosity across  
breeds  
The observed (Ho) and expected (He) heterozygosity  
and the polymorphic information content (PIC) for each  
marker over the examined breeds are displayed in table 2.  
The wide parameters used to measure the genetic diversity  
across and within the populations is He or the gene  
diversity as defined by Nei (1973). The Ho in all  
microsatellite markers was higher than He at all rabbits’  
breeds. The means of He values were ranged from  
0.35±0.06 to 0.49±0.07. The Ho for different markers  
averaged  
0.58±0.05  
and  
ranged  
from  
0.06  
(INRACCDDV0022) to 0.99 (INRACCDDV0036). The  
overall mean of He was 0.422±0.03 and ranged from 0.37  
at INRACCDDV0211 to 0.66 at INRACCDDV0036.  
These results in full agreement with Ben Larbi et al.  
(2014) who realized that Ho ranged from 0.3 to 0.53  
across 36 loci used in twelve rabbit populations. The  
distinguished results might be due to the number of  
markers and/or the number of populations that used.  
Similarly, to the obtained results, Xin-Sheng et al. (2008)  
found that the highest heterozygosity was 0.721 at locus  
SOL33, and the lowest level of heterozygosity was 0.63  
when different markers were used.  
From this point, it was clear that although the  
microsatellites used were different from other studies, the  
obtained heterozygosity values were closed. The PIC  
might be used to ascertain the heterozygosity and the  
alleles’ numeral in the population. The PIC average is 0.41  
with the values ranging from 0.298 at locus  
INRACCDDV0211 to 0.599 at locus INRACCDDV0036.  
These values were dissimilar with those of Schwartz et al.  
(2007) who found the lowest PIC was 0.27 at locus  
SOL33 and the highest PIC value was 0.70 at locus  
SAT16.  
Finally, the Babion rabbits have the highest allele  
frequency as 0.50 for the markers INRACCDDV0221 and  
INRACCDDV0241 with allele sizes of 117 bp and 150 bp,  
0.98 to 0.412 for SOL44 marker, and from 0.049 to 0.48  
for SAT13 marker.  
Similarly, Xin-Sheng et al. (2008) found the PIC  
average was 0.642 (ranged from 0.559 to 0.705).  
Moreover, another range of PIC (0.60 - 0.86) was obtained  
by El-Aksher et al. (2016). Accordingly, the microsatellite  
markers that utilized could propose their adequacy in the  
linkage mapping programs and genetic polymorphism  
Genetic relationships among rabbit genotypes  
The results indicated that the Chinchilla breed is  
distinctive from other breeds (Figure 2). Interestingly, the  
equality of both California and NZW is presented (Table  
3). Galal et al. (2013) concluded that there was a low  
genetic variation within each of the four rabbit genotypes  
(APRI line, NZW, Baladi Black, and Gabali breeds) based  
127  
Table 2. Variability parameters for the microsatellite markers  
Locus  
Na  
0.80  
Ne  
0.79  
I
0.27  
Ho  
He  
Nm  
F
FST  
FIS  
FIT  
PIC  
0.02  
0.88  
0.53  
0.64  
0.99  
0.56  
0.41  
0.58  
0.58  
0.20  
0.61  
0.40  
0.42  
0.65  
0.38  
0.32  
0.42  
0.42  
0.068  
7.469  
0.737  
5.096  
8.508  
3.431  
0.712  
1.440  
4.402  
0.92  
0.785  
0.032  
0.253  
0.047  
0.029  
0.068  
0.260  
0.148  
0.054  
0.922  
0.983  
-0.401  
0.008  
-0.474  
-0.493  
-0.390  
0.069  
-0.195  
-0.331  
0.372  
0.560  
0.421  
0.319  
0.599  
0.298  
0.335  
0.406  
0.364  
INRACCDDV0022  
INRACCDDV0248  
INRACCDDV0023  
INRACCDDV0221  
INRACCDDV0036  
INRACCDDV0211  
INRACCDDV0031  
INRACCDDV0304  
INRACCDDV0241  
Overall mean ± SE  
2.80  
2.58  
0.98  
-0.47  
-0.32  
-0.51  
-0.54  
-0.44  
-0.26  
-0.37  
-0.37  
-0.448  
-0.329  
-0.546  
-0.536  
-0.491  
-0.258  
-0.402  
-0.407  
2.20  
1.75  
0.63  
2.00  
1.73  
0.61  
3.20  
2.90  
1.10  
2.00  
1.63  
0.56  
2.00  
1.48  
0.51  
2.20  
1.80  
0.65  
2.20  
1.79  
0.65  
2.16±0.11  
1.83±0.11  
0.66±0.04  
0.58±0.05 0.42±0.03 3.541±1.025 -0.35±0.05 0.186±0.081 -0.277±0.153 -0.136±0.155 0.408  
Na: Number of different alleles, Ne: Number of effective alleles, I: Shannon's information index, He: expected heterozygosity. Ho: observed heterozygosity, FIS: heterozygosis deficit, FST: population  
variation, FIT: heterozygosity due to inbreeding, Nm: Gene flow, F: Fixation index, PIC: Polymorphic information content, SE: Standard error.  
Figure 2. Cladogram developed by  
NJ cluster analysis showing the  
coefficient of genetic similarities  
among the rabbit breeds based on  
microsatellite markers within gene  
analysis. NZW: New Zealand  
White  
Figure 1. The allelic size and allele frequency per locus for each rabbit breed. *Private allele; NZW: New Zealand White  
To cite this paper: Rabie TSKM (2020). Assessment of Genetic Variability and Population Structure of Five Rabbit Breeds by Microsatellites Markers Associated with Genes. J. World Poult. Res., 10 (2S): 125-132. DOI:  
128  
Table 3. Genetic distances among the different rabbit  
values. Contradictory, El-Aksher et al. (2016) attained the  
FIS with positive values but were closed to zero which  
indicated low inbreeding within the population. In  
addition, the negative FIS values would reflect random  
sampling error or the individual has fewer homozygotes  
than one would expect by chance at the genome-wide  
level. The values of FST for the nine loci are shown in table  
breeds  
New Zealand  
Rabbit breeds Chinchilla  
Babion  
0.5  
Flander California  
White  
Chinchilla  
New Zealand  
White  
Babion  
Flander  
0
0.235  
0.529  
0.353  
0.235  
0
0
0.382  
0
0.265  
0
0.382  
0.353  
0
California  
2.  
The  
FST  
values  
fluctuated  
from  
0.029  
(INRACCDDV0036) to 0.785 (INRACCDDV0022).  
Hardy-Weinberg Equilibrium and private alleles  
over the studied breeds  
Other reports showed that the emphatically low FST  
(0.0137 and 0.099) (Grimal et al., 2012; Tian-Wen et al.,  
2010). Additionally, FST comparisons from entirely  
unexpected components of the genome will offer bits of  
knowledge into the demographic history of populations  
(Holsinger and Weir, 2009). Shannon’s Information index  
(I) averaged 0.66 and ranged between 0.27  
(INRACCDDV0022) to 1.1 (INRACCDDV0036). This  
record is a proportion of strength and it is the likelihood  
that two individuals randomly represented from an  
infinitely population will be different species. In addition,  
Simpson's Index is usually expressed as the reciprocal, so  
the higher values represent higher diversity which was  
indorsed by the patterns of the neighbor-joining  
phylogenetic tree (Figure 4). Moreover, the genetic  
diversity within individuals (78%) and among breeds  
(22%) was highly significant (Table 5). In addition, gene  
flow (Nm) ranged from 0.068 at INRACCDDV0022 to  
8.508 at INRACCDDV0036 and averaged 3.541. Slatkin  
(1985) counted that if the value of Nm >1, the quality  
trade among populace can avert the effect of genetic drift  
and diminish the genetic divergence among populaces. In  
the current study, the obtained Nm was indicating that the  
gene flow was one of the significant variables impacting  
the genetic construction of rabbits' populations. The  
moderately high gene flow likely averts genetic  
distinctions, which is the purpose behind the watched low  
genetic differences. That is the motivation behind why the  
difference within individuals was higher than that among  
breeds. Along these, the absence of differentiation  
between many breeds such as NZW and California is  
credited to gene flow.  
It can be expected that gene flow would be  
constrained, and that reasonable level of genetic structure  
would be obvious among test from individuals selected  
from the area isolated by obstructions and separations  
more than a few kilometers. Be that as it may,  
investigations dependent on 9 microsatellite loci from 128  
rabbits uncovered all chromosomes, therefore this study  
assumed to be in low to adequate level of genetic diversity  
as demonstrated by Estes-Zumpf et al. (2010). A past  
report brief that microsatellite markers utilized in  
investigations of genetic variation and distances should  
don't have any less than four alleles in order to curtail the  
standard errors of estimated distances (Barker, 1994) and  
that such microsatellite markers should have a Ho of  
somewhere in the range of 0.3 and 0.8 inside the  
Among the nine loci, the Hardy-Weinberg  
equilibrium (HW) was highly significant differentiated  
(P≥0.001) for five loci, but not significant with four loci  
(Table 4). Although, INRACCDDV0241 locus was highly  
significant for Babion, it was not significant for NZW,  
Flander, and Chinchilla. Instead, the INRACCDDV0022  
locus was highly significant in NZW, it was significant in  
Chinchilla, California, and Babion breeds (Table 4).  
Moreover, all the microsatellite loci in this examination  
were polymorphic, showing that the loci were appropriate  
for the genetic investigation of lab rabbits in Egypt.  
Private alleles were likewise present in five alleles and  
were realized in Babion breed (Figure 3). The locus  
INRACCDDV0023 had two private alleles at 293 and 297  
bp with allele frequency 0.4 (freq: 0.4), and 0.1  
respectively.  
The  
locus  
INRACCDDV0036,  
INRACCDDV0304, and INRACCDDV0241 had private  
allele for each (185 bp (freq: 0.24), 197 (freq: 0.47), and  
137 bp (freq: 0.26), respectively (Figures 1 and 3). In  
contrast, Grimal et al. (2012) did not reach any private  
allele for the locus INRACCDDV0241 with four Egyptian  
breeds and Spanish New Zealand White breed. Increasing  
the numbers of individuals sampled has two effects, one is  
to increase the integer of private alleles in the samples,  
thereby increasing the accuracy of the evaluations of gene  
3.000  
2.500  
2.000  
1.500  
1.000  
0.500  
0.000  
0.600  
0.500  
0.400  
0.300  
0.200  
0.100  
0.000  
NZW  
Na  
Flander ChinchillaCalifornia Babion  
Ne No. Private Alleles  
He  
Figure 3. Allelic patterns across five rabbit breeds. Na:  
number of different alleles, Ne: number of effective alleles, No: number  
of private alleles, and He: Expected heterozygosity. NZW: New Zealand  
White  
Genetic Variation and breeds diversity  
To estimate the genetic variation of the five rabbit’  
breeds, genetic differentiation (FST), and genetic distance  
were evaluated. The negative FIS values observed for all  
studied locus except the INRACCDDV0022 locus (Table  
2) as Tian-Wen et al. (2010) when observed negative FIS  
To cite this paper: Rabie TSKM (2020). Assessment of Genetic Variability and Population Structure of Five Rabbit Breeds by Microsatellites Markers Associated with Genes. J.  
129  
Table 4. Results of Chi-Square test for Hardy-Weinberg equilibrium  
Hardy-Weinberg  
Equilibrium for  
locus over breed  
New Zealand White  
Flander  
Chinchilla  
California  
Babion  
Locus  
df  
ChiSq  
Prob  
Sig ChiSq Prob Sig ChiSq Prob Sig ChiSq Prob Sig ChiSq Prob Sig  
1
3
1
1
3
1
1
1
1
18.45  
0.00  
***  
**  
8.00  
5.58  
3.48  
5.14  
12.00  
1.83  
1.61  
3.15  
1.83  
0.00  
0.13  
0.06  
0.02  
0.01  
0.18  
0.20  
0.08  
0.18  
**  
NS  
NS  
*
M
-
-
M
-
-
*
M
M
-
-
-
***  
***  
NS  
**  
INRACCDDV0022  
INRACCDDV0248  
INRACCDDV0023  
INRACCDDV0221  
INRACCDDV0036  
INRACCDDV0211  
INRACCDDV0031  
INRACCDDV0304  
INRACCDDV0241  
12.07  
2.29  
7.35  
21.69  
0.67  
1.88  
3.60  
3.60  
0.01  
0.13  
0.01  
0.00  
0.41  
0.17  
0.06  
0.06  
4.71  
0.43  
1.83  
17.00  
1.47  
0.85  
0.97  
1.05  
0.19  
0.51  
0.18  
0.00  
0.23  
0.36  
0.32  
0.31  
NS  
NS  
NS  
***  
NS  
NS  
NS  
NS  
9.90  
4.86  
2.60  
31.00  
5.60  
1.99  
3.60  
5.60  
0.02  
0.03  
0.11  
0.00  
0.02  
0.16  
0.06  
0.02  
-
NS  
**  
*
3.00  
M
0.01  
-
*
NS  
***  
*
-
***  
NS  
NS  
NS  
NS  
**  
6.00  
M
0.00  
-
**  
-
***  
NS  
NS  
NS  
***  
NS  
NS  
NS  
NS  
NS  
NS  
*
1.25  
20.00  
19.00  
0.26  
0.00  
0.00  
NS  
***  
***  
Prob: Probability, ChiSq: Chi-Square, M: Monomorphic, NS: Not significant, df: Degree of freedom, Sig: Significant (* p≤0.05, ** p≤0.01, *** p≤0.001)  
Table 5. Analysis of molecular variance in studied generations  
Source  
df  
4
SS  
MS  
31.855  
1.946  
2.156  
--  
Est. Var.  
0.598  
%
22  
0
F-statistic  
0.226  
-0.051  
0.186  
--  
p-value  
0.001  
0.960  
0.001  
--  
127.420  
239.299  
276.000  
642.719  
Among breeds  
Among individuals  
Within individuals  
Total  
123  
128  
255  
0.000  
2.156  
78  
100  
2.754  
df: degrees of freedom, SS: sum of squares, MS: mean square, Est. Var: Estimated variance.  
To cite this paper: Rabie TSKM (2020). Assessment of Genetic Variability and Population Structure of Five Rabbit Breeds by Microsatellites Markers Associated with Genes. J. World Poult. Res., 10 (2S): 125-132. DOI:  
130  
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Acknowledgments  
The support of the Department of Animal Production  
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There is no conflict of interest.  
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