Abstract
The water buffalo has a seasonal reproductive pattern with reduced sexual activity during the longer photoperiod. The goal of this study was to identify the single nucleotide polymorphism (SNP) of melatonin receptor 1A (MTNR1A) gene in Iraqi buffalo cows and 3D structure of its protein and phylogeny with other sequences around the world. The 824 bp fragment of exon II of the MTNR1 A gene was amplified from 190 buffalo cows (4-5 years old) genomic DNA belonging to local breeders in Al-Chibayish Marshes, Southern Iraq. Amplified PCR products underwent custom sequencing at the two ends (5′ and 3′ ends). Five separate polymorphism sites, the 1st included 52 animals with 19 mutations (12 missense), the 2nd included 39 animals with 18 mutations (11 missense), the 3rd included 35 animals with 18 mutations (12 missense), the 4th included 32 animals with 18 mutations (12 missense) and the 5th included 32 animals with 14 mutations (8 missense). These polymorphic sites with accession numbers LC565046, LC565047, LC565709, LC565710 and LC565711 respectively were registered in gene bank. The phylogenetic tree reveals that in some of the Iraqi buffalo, the sequences of MTNR1A gene has identical to the Italian buffalo (GU817415), and the Brazilian buffalo (JN689386). Data revealed a marked difference in the fifth polymorphism sites' 3D protein structure because of the mutations. In conclusion, as a result of mutations, the gene MTNR1A in Iraqi buffalo has polymorphisms; these polymorphisms may be linked to gene function, Therefore, further studies are needed to connect the polymorphisms of this gene with the productive and reproductive traits.
Main Subjects
Highlights
1- The MTNR1A gene in Iraqi buffalo has a polymorphisms.
2- The polymorphism of the MTNR1A gene in Iraqi buffaloes does not match (100%) with any other polymorphism.
3- The highest affinity was with the Italian and then the Brazilian polymorphism, respectively.
4- Some mutations occurred in more than one polymorphism, while some occurred in only on.
Full Text
Introduction
For many countries, particularly in Asia, buffalo is an essential part of the agricultural economy, as it is a very important source of milk and meat (1,2). Iraq is one of the largest buffalo countries in the region (3), as well as one of the world's top countries in the world (4). However, Iraqi buffalo production is rather low (especially milk production) compared to the rest of the producing countries for a number of reasons, including malnutrition or poor management (5,6,7), as well as the problems resulting from poor veterinary care (8), and the resulting diseases such as mastitis, which directly affects milk production (9), products, whether meat or milk, are also exposed to various bacterial contaminants (10), perhaps one of the most important problems faced by the buffalo breeding sector is the poor reproductive efficiency and low pregnancy rates, which cause great economic losses (11). Recently, evolution in molecular genetics has led to the discovery of molecular markers that are linked to genes that influence development characteristics, for which dominance in development is closely related to genetic selection (12), One of these markers is the gene responsible for the receptors for the hormone melatonin (13). Melatonin plays a significant role in buffalo reproduction (14), since it is capable of reducing oxidative stress (15), by stimulating antioxidant enzymes (16). Therefrom, it affects the ideal functions of cells and tissues, including the reproductive system, which explains what has hypothalamic neuron receptors that regulate the release of pituitary gonads (17), in the anterior pituitary gonads, and in the adnexal reproductive gonads in both male and female (18,19). Melatonin receptors are categorized into two groups, MTNR1A and MTNR1B (20,21), the first type being one that specifically affects reproduction (22), while previous studies indicated that the melatonin receptor gene polymorphisms are related to productivity and reproductive success in buffalo and sheep (23). Studies on the exon II and its polymorphisms have based mainly on the melatonin receptor gene in chromosome 1 buffalo (24), as it is promoter area size 824 bp (25,26). Due to the lack of knowledge on the melatonin receptor gene in the Iraqi buffalo, as no previous research has listed this gene, this study aimed to characterize the melatonin receptor gene (MTNR1A) polymorphisms in the Iraqi buffalo, the 3D structure of its protein and comparing the phylogenic tree of Iraqi buffalo with other sequences breeds around the world.
Materials and methods
Ethical approve
The study has been approved by the Animal Ethics committee of Department of Animal Production, College of Agriculture, University of Basrah, Basrah, Iraq.
Study location
This study was carried out in the Department of Animal Production, College of Agriculture, University of Basrah, from July 2019 to November 2019 on 190 buffalo cows (4-5 years old) belonging to local breeders in Al-Chibayish Marshes, southern Iraq (°31N47°E).
Sampling
Ten ml of blood was obtained from each animal's caudal vein by using a tube with EDTA, then the samples were kept frozen until the DNA extraction process was performed
The DNA Extraction
The DNA was extracted from blood by using a commercial genomic DNA kit (Pure-Link Genomic DNA mini-Package, Thermo Fisher Scientific, USA) as recommended by the manufacturer and stored at -20°C until for use (24), then the concentration and purity of DNA was calculated by using Nanodrop (Nano Drop thermo scientific 200/ USA), with 260 / 280 nm ratio (27).
Primer design and PCR amplification
Primer pairs were designed according to Gunwant et al. (24) for MTNR1A exon II, forward: GTGAGCCTGGCAGTTGCAGA and Reverse: GGAGAGGGTTTGCGTTTAATTC. The PCR was carried out according to Pandey et al. (26), in total volume 25 μl with 12.5 μl of Master mix, 2 μl of DNA template (100 ng/ml), 0.5 μl (10 μM) of each primer and 9.5 μl of water nuclease-free (WNF), the conditions of PCR were done with an initial denaturation at 98 °C for 5 min followed by 1 cycle, then next by 35 cycles of denaturation at 98 °C for 15 sec, Annealing at 55 °C for 30 sec, extension at 72 °C for 30 sec, and final extension at 72 °C for 5 min followed by 1 cycle, the PCR product has been detected by using 1.5% Ethidium Bromide (0.5 μg/ml) stained agarose gel, equivalent, with 3000 bp DNA ladder. Then PCR product has been purified using QIAquick®, Qiagen kit (Germany) following the manufacturer’s protocol.
Sequences analysis
The sequence analysis has been done in First BASE Laboratory in Malaysia, to determine the identity of the resulting sequences BLAST tool has been used, then perform Multiple Sequence Alignment (28), to compare the resulting sequences with Bubalus bubalis melatonin receptor type 1A (MTNR1A) gene in the GenBank accession number GU817415and JN689386 (Depending on the highest matching percentage in BLAST) to set the differences in the resulting polymorphisms.
Construction of phylogenetic tree
The construction of phylogenetic tree has been done by using Mega software (29), to show the convergence the resulting sequences in this study were compared with the sequences of melatonin receptor in buffalo for several different countries, obtained from the GenBank, it is as follows: GU817415 in Italy, JN689386 in Brazil and MF173047 in India.
Three-dimensional protein structure
The Swiss model (Swiss-PdbViewer/Switzerland) has been used to detected 3D protein structure (30).
Results
Amplifying PCR
The findings of NanoDrop's DNA analysis show that the ratio 260/280 was 1.75 – 1.85, The size of the PCR product in Bubalus bubalis was 824bp (Figure 1).
The Analysis of Sequences
Five separate polymorphisms were obtained by comparing the findings with the Bubalus bubalis accession numbers (GU817415 Italian polymorphism and JN689386 Brazilian polymorphism), all of which were registered at GenBank under the accession numbers LC565046, LC565047, LC565709, LC565710, and LC565711. The percent identification with the Bubalus bubalis reference gene (Italian polymorphism) was 97.69 percent, 97.82 percent, 97.82 percent, 97.82 percent, and 98.30 percent respectively, as for the Brazilian polymorphism, the matching ratio was 96.51, 96.87, 95.90, 96.02 and 96.39 respectively, 100 percent mismatch occurred due to various mutations occurring in each polymorphism. On the other hand, some mutations occurred in more than one polymorphism, not to mention that some of them corresponded to the Italian polymorphism, the other with the Brazilian polymorphism, and some matched with both (Figure 2), all mutations, their types and positions are listed in the tables (1, 2, 3, 4, 5), some mutations were silent (they did not code for a new amino acid), while others were missense (caused by the encoding of new amino acid).
Phylogenetic tree analysis
The phylogenetic tree diagram (Figure 3) shows that the sequences of the MTNR1A gene in some of the Iraqi buffalo are similar to the Italian buffalo (accession number GU817415), while the other sequences were similar to the Brazilian buffalo (accession number JN689386), the homogeneity rate was very high despite these variations resulting from mutations.
3D protein structure
Despite the similarity of the 3D protein structure for all the polymorphisms that resulted in the analysis, there are differences in the expected 3D structure between them (Figure 4, 5, 6, 7 and 8), as a result of the various mutations, this can be clearly seen in Figure 2, as there is no perfect match between all the polymorphisms.
Figure 1: Gel electrophoresis of PCR product for MTNR1A gene (L: 3kb, DNA marker; 1, 2, 3 and 4: PCR product).
Figure 2: The Multiple Sequence Alignment for each of the Italian and Brazilian polymorphisms, as well as the polymorphisms obtained in the study. 1, 2, 3, 4, and 5: Iraqi polymorphisms, LC565711, LC565710, LC565709, LC565047 and LC565046 respectively. 6: Italian polymorphism, GU817415. 7: Brazilian polymorphism, JN689386
Table 1: Polymorphisms of the studied gene (Polymorphism 1, LC565046, 52 animals).
No. |
GU817415 |
JN689386 |
Polymorphisms |
Position |
Mutation |
|
Type |
Amino acid |
|||||
1 |
C |
T |
T |
51 |
Silent |
|
2 |
A |
G |
G |
76 |
Missense |
Serine to Glycine |
3 |
C |
G |
A |
113 |
Missense |
Proline to Glutamine |
4 |
C |
C |
G |
128 |
Missense |
Proline to Arginine |
5 |
T |
T |
G |
156 |
Silent |
|
6 |
T |
A |
A |
194 |
Missense |
Glutamine to leucine |
7 |
A |
G |
G |
240 |
Silent |
|
8 |
G |
A |
A |
286 |
Missense |
Aspartic to Asparagine |
9 |
C |
C |
G |
349 |
Missense |
Histidine to Aspartic |
10 |
A |
A |
T |
472 |
Missense |
Serine to Cysteine |
11 |
G |
C |
A |
516 |
Silent |
|
12 |
G |
G |
C |
564 |
Silent |
|
13 |
C |
C |
T |
620 |
Missense |
Threonine to Isoleucine |
14 |
C |
C |
G |
682 |
Missense |
Glutamine to Glutamic |
15 |
A |
A |
G |
714 |
Silent |
|
16 |
T |
T |
A |
765 |
Missense |
Aspartic to Glutamic |
17 |
G |
A |
A |
775 |
Missense |
Glycine to Arginine |
18 |
A |
A |
T |
803 |
Missense |
Asparagine to Isoleucine |
19 |
C |
T |
T |
822 |
Silent |
|
Table 2: Polymorphisms of the studied gene (Polymorphism 2, LC565047, 39 animals)
No. |
GU817415 |
JN689386 |
Polymorphisms |
Position |
Mutation |
|
Type |
Amino acid |
|||||
1 |
T |
G |
C |
9 |
Silent |
|
2 |
G |
G |
T |
38 |
Missense |
Glycine to Valine |
3 |
G |
G |
C |
87 |
Missense |
Tryptophan to Cysteine |
4 |
G |
C |
T |
135 |
Silent |
|
5 |
C |
T |
T |
203 |
Missense |
Proline to Leucine |
6 |
A |
G |
G |
240 |
Silent |
|
7 |
T |
C |
C |
302 |
Missense |
Valine to Alanine |
8 |
T |
T |
A |
365 |
Missense |
Leucine to Histidine |
9 |
C |
G |
G |
442 |
Missense |
Leucine to Valine |
10 |
C |
A |
T |
491 |
Missense |
Threonine to Methionine |
11 |
T |
C |
C |
540 |
Silent |
|
12 |
C |
C |
T |
597 |
Silent |
|
13 |
C |
G |
G |
598 |
Missense |
Leucine to Valine |
14 |
C |
C |
G |
682 |
Missense |
Glutamine to Glutamic |
15 |
T |
A |
C |
693 |
Silent |
|
16 |
T |
T |
C |
744 |
Silent |
|
17 |
T |
T |
A |
765 |
Missense |
Aspartic to Glutamic |
18 |
G |
A |
A |
775 |
Missense |
Glycine to Arginine |
Table 3: Polymorphisms of the studied gene (Polymorphism 3, LC565709, 35 animals).
No. |
GU817415 |
JN689386 |
Polymorphisms |
Position |
Mutation |
|
Type |
Amino acid |
|||||
1 |
G |
T |
C |
91 |
Missense |
Glutamic to Glutamine |
2 |
T |
T |
G |
105 |
Silent |
|
3 |
C |
A |
A |
153 |
Silent |
|
4 |
A |
A |
G |
173 |
Missense |
Asparagine to Serine |
5 |
C |
T |
T |
224 |
Missense |
Alanine to Valine |
6 |
C |
C |
A |
285 |
Silent |
|
7 |
A |
T |
T |
329 |
Missense |
Glutamic to Valine |
8 |
T |
T |
A |
393 |
Silent |
|
9 |
T |
T |
C |
454 |
Missense |
Serine to Proline |
10 |
C |
C |
G |
487 |
Missense |
Glutamine to Glutamic |
11 |
G |
T |
C |
527 |
Missense |
Cysteine to Serine |
12 |
C |
C |
A |
663 |
Silent |
|
13 |
C |
C |
G |
682 |
Missense |
Glutamine to Glutamic |
14 |
G |
C |
C |
706 |
Missense |
Glutamic to Glutamine |
15 |
G |
G |
C |
751 |
Missense |
Valine to Glutamine |
16 |
T |
T |
A |
752 |
Missense |
Valine to Glutamine |
17 |
T |
T |
A |
765 |
Missense |
Aspartic to Glutamic |
18 |
A |
A |
G |
789 |
Silent |
|
Table 4: Polymorphisms of the studied gene (Polymorphism 4, LC565710, 32 animals).
No. |
GU817415 |
JN689386 |
Polymorphisms |
Position |
Mutation |
|
Type |
Amino acid |
|||||
1 |
G |
T |
T |
15 |
Missense |
Glutamic to Aspartic |
2 |
A |
G |
T |
30 |
Missense |
Arginine to Serine |
3 |
C |
C |
A |
42 |
Silent |
|
4 |
G |
A |
A |
70 |
Missense |
Valine to Isoleucine |
5 |
T |
T |
C |
129 |
Silent |
|
6 |
G |
G |
A |
176 |
Missense |
Cysteine to Tyrosine |
7 |
C |
G |
G |
244 |
Missense |
Proline to Alanine |
8 |
C |
C |
T |
312 |
Silent |
|
9 |
G |
G |
A |
363 |
Silent |
|
10 |
G |
A |
A |
416 |
Missense |
Arginine to Histidine |
11 |
A |
A |
T |
486 |
Missense |
Glutamine to Histidine |
12 |
T |
T |
C |
542 |
Missense |
Phenylalanine to Serine |
13 |
T |
C |
C |
594 |
Silent |
|
14 |
G |
G |
C |
636 |
Silent |
|
15 |
C |
C |
G |
682 |
Missense |
Glutamine to Glutamic |
16 |
T |
T |
A |
765 |
Missense |
Aspartic to Glutamic |
17 |
A |
A |
C |
802 |
Missense |
Asparagine to Histidine |
18 |
C |
C |
A |
817 |
Missense |
Leucine to Isoleucine |
Table 5: Polymorphisms of the studied gene (Polymorphism 5, LC565711, 32 animals).
No. |
GU817415 |
JN689386 |
Polymorphisms |
Position |
Mutation |
|
Type |
Amino acid |
|||||
1 |
T |
T |
C |
3 |
Silent |
|
2 |
G |
T |
T |
15 |
Missense |
Glutamic to Aspartic |
3 |
T |
T |
C |
53 |
Missense |
Valine to Alanine |
4 |
G |
T |
T |
86 |
Missense |
Tryptophan to Leucine |
5 |
G |
G |
C |
141 |
Missense |
Glutamic to Aspartic |
6 |
G |
C |
C |
186 |
Silent |
|
7 |
G |
T |
T |
254 |
Missense |
Arginine to Leucine |
8 |
G |
G |
A |
318 |
Silent |
|
9 |
A |
T |
G |
396 |
Silent |
|
10 |
T |
T |
A |
489 |
Silent |
|
11 |
A |
A |
C |
654 |
Missense |
Leucine to Phenylalanine |
12 |
C |
C |
G |
682 |
Missense |
Glutamine to Glutamic |
13 |
T |
T |
A |
765 |
Missense |
Aspartic to Glutamic |
14 |
C |
T |
A |
822 |
Silent |
|
Figure 3: Phylogenetic tree of MTNR1A gene in Iraqi buffalo with different buffalo (LC565046, LC565047, LC565709, LC565710, and LC565711: MTNR1A gene in Iraqi buffalo), (GU817415: MTNR1A gene in Italy buffalo). (JN689386: MTNR1A gene in Brazilian buffalo), (MF173047: MTNR1A gene in Indian buffalo).
Figure 4: 3D protein structure of MTNR1A gene in Iraqi buffalo, LC565046 polymorphism.
Figure 5: 3D protein structure of MTNR1A gene in Iraqi buffalo, LC565047 polymorphism.
Figure 6: 3D protein structure of MTNR1A gene in Iraqi buffalo, LC565709 polymorphism.
Figure 7: 3D protein structure of MTNR1A gene in Iraqi buffalo, LC565710 polymorphism.
Figure 8: 3D protein structure of MTNR1A gene in Iraqi buffalo, LC565711 polymorphism.
Discussion
The result of the size of PCR product was entirely equivalent to the main part of the exon II, this is consistent with what Miziara (19) pointed out. The resulting genetic polymorphisms in the study are consistent with other polymorphism studies of the melatonin receptor (MTNR1A) gene (31), and genetic polymorphism of Iraqi buffalo genes (32).
The occurrence of various silent mutations can contribute to a change in protein structure and function, as well as their effect on protein folding, missense mutations can cause instability in protein function and the effect on interaction with other biological molecules (33). The occurrence of a number of mutations in more than one polymorphism may be due to the fact that these animals are of the same origin (34), but it is important to note that both the Italian and Brazilian polymorphisms share the same mutations with the polymorphisms obtained in the current study.
The variations in the gene may account for the different development and reproductive success between animals. MTNR1A gene's polymorphisms can influence the protein through the impact on the amount of melatonin that affects the amount of prolactin (35). So, the MTNR1A gene's polymorphisms can be considered as a reproductive genetic marker (36,37), and therefor this genetic variation can effectively contribute to the reproductive performance of the Iraqi buffalo (38).
The analysis of the phylogenetic tree agrees with the results of the study, where we can note that the Iraqi buffalo was closer to the Italian polymorphism, despite the close convergence with the Brazilian and Indian polymorphisms, this may give another impression about the genetic diversity of the Iraqi buffalo (39).
On the other hand, the difference in the 3D structure of protein is due to the occurrence of silent and missense mutations, the 3D structure of the protein is an effective indicator for understanding the effect of mutations, this is due to its impact on the processes of fastening and dismantling as well as an assembly (40), so these structural changes may affect the function of the protein (41), either negatively or positively, which can contribute to a clear discrepancy in the productive performance of animals.
Conclusion
Based on the results of the present study MTNR1A gene in Iraqi buffalo has polymorphisms as a result of mutations, these polymorphisms may be related to gene function, therefore further studies are required to link this gene's polymorphisms to the productive and reproductive traits.
Acknowledgments
We extend our appreciation to the Associate Professor Dr. Wessam Monther Mohammed Saleh, College of Veterinary Medicine, university of Basra for his supporting, aiding, and direction in sampling process. Many gratitude and thanks to the farmers who cooperated with us to complete this work.
Conflict of interest
The authors of this manuscript stated there is no conflict of interest regarding the writing process or data analysis.