Research Article

Association of PRL/XbaI Polymorphisms with Reproductive Performances in Vietnamese BT and TB Duck Lines

Tan Loi Le1, Thi Tuong Vi Trang2, Tuan Thanh Hoang3, Pin-Chi Tang1,4*, Ngoc Tan Nguyen2*

1Department of Animal Science, National Chung Hsing University, Taichung 40227, Taiwan; 2Faculty of Biological Sciences, Nong Lam University in Ho Chi Minh City - Linh Trung Ward, Thu Duc City, Ho Chi Minh City, Vietnam; 3Vigova Poultry Research and Development Center - 496/101 Duong Quang Ham Street, Ward 6, Go Vap District, Ho Chi Minh City, Vietnam; 4The iEGG and Animal Biotechnology Center, National Chung Hsing University, Taichung 40227, Taiwan.

Received | October 10, 2024; Accepted | November 21, 2024; Published | February 17, 2025

*Correspondence | Pin-Chi Tang, Department of Animal Science, National Chung Hsing University, Taichung 40227, Taiwan; Email: [email protected], Ngoc Tan Nguyen, Faculty of Biological Sciences, Nong Lam University in Ho Chi Minh City - Linh Trung Ward, Thu Duc City, Ho Chi Minh City, Vietnam; Email: [email protected]

Citation | Le TL, Trang TTV, Hoang TT, Tang PC, Nguyen NT (2025). Association of PRL/XbaI polymorphisms with reproductive performances in Vietnamese BT and TB duck lines. Adv. Anim. Vet. Sci. 13(3): 608-617.

DOI | https://dx.doi.org/10.17582/journal.aavs/2025/13.3.608.617

ISSN (Online) | 2307-8316; ISSN (Print) | 2309-3331

Copyright: 2025 by the authors. Licensee ResearchersLinks Ltd, England, UK.

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

INTRODUCTION

The production of duck meat is expanding globally, while in Vietnam, traditional practices like wet rice cultivation and duck farming hold significant importance in the Agri-economy. The country is ranked second behind China, with over 83.7 million ducks as 7% of the global total (FAOSTAT, 2022). Poultry provide vital human nutrition, with duck meat and egg products offering superior nutritional values compared to chicken (Biswas et al., 2019; Weng et al., 2022). Vietnam has successfully created numerous high egg-yield duck lines, notably the TC duck strain, a hybrid between the Chinese super-egg-laying duck (Zhejiang/Triet Giang) and the Vietnamese native duck (Co) breed. The TC duck line has a high egg yield, averaging 280.65 to 282.68 eggs/duck over a 52-week laying period, with egg weight of 68 to 70 grams and a feed conversion ratio of 2.04 to 2.10 kg per 10 eggs (Nguyen et al., 2011). The Bien duck, domesticated by Vietnamese scientists at the National Institute of Animal Science, is the first duck line in Vietnam that can live and lay eggs in the marine environment. These ducks drink seawater and eating many kinds of forages in coastal areas, producing around 240 eggs per year (Henning et al., 2013; Vuong et al., 2019). Crossbreeding the Bien salt-tolerant and high egg-yielding TC duck lines by reciprocal crosses shows promise for improving adaptability to face the growing challenges of climate change and salt-water intrusion. These environmental shifts present significant challenges for duck farming in Vietnam’s coastal areas, where developing salt-tolerant, high-yield TB and BT crossbred is essential for maintaining stable egg production and ensuring resilience against these evolving conditions.

Marker-assisted selection (MAS) can significantly decrease the time and cost involved in the selection process by eliminating the need for elaborate large-scale experiments, thereby reducing the risks and enhancing overall efficiency (Wakchaure et al., 2015). MAS has numerous advantages compared to the conventional Best Linear Unbiased Prediction (BLUP) method by the targeted selection of specific genetic traits, providing flexibility in integrating diverse genetic data. MAS reduces the time and financial resources required for selection (Fritsche-Neto et al., 2021; Zhang et al., 2022) as a crucial and efficient tool for enhancing the quality and productivity of crops and livestock (Gutierrez-Reinoso et al., 2021).

Prolactin (PRL), a hormone produced by the anterior pituitary gland, plays various biological roles across all vertebrates (Yurnalis et al., 2019). In ducks, PRL is composed of 229 amino acids, encoded by the prolactin gene (Kansaku et al., 2008). Studies have shown that polymorphisms in intron 1 of the duck prolactin gene are associated with egg weight (Li et al., 2009; Bagheri et al., 2013; Bai et al., 2019), while polymorphisms in exon 5 are linked to annual egg production (Wang et al., 2011; Osman et al., 2017; Nguyen et al., 2023). Haplotype analysis revealed that each mutation correlated with egg production and reproductive traits. Studies on various Chinese local duck breeds have identified a C→A mutation at position 381 in intron 1, detected using the XbaI enzyme (Wang et al., 2011). In Mulard ducks, the PRL/XbaI polymorphism significantly influences body weight at 10 and 12 weeks of age (Mazurowski et al., 2016). Variation at the PRL/XbaI locus within intron 1 significantly influences egg production in Khaki Campbell ducks, particularly benefiting individuals with the GT genotype, which exhibit the highest egg yield (Chuekwon and Boonlum, 2017).

This study firstly assessed prolactin gene polymorphism in intron 1 region using the PCR-RFLP technique in two reciprocal crossbred duck lines, known for their high egg yield and salt tolerance (referred to as TC×B or the TB line, and B×TC or the BT line). The impact of gene polymorphism on several egg productivity traits of these crossbred duck lines was analyzed to serve as a molecular database to support future selection for enhancing egg production and shortening the time for breeding selection compared to traditional methods, which are crucial for enhancing egg productivity in hybrid duck lines that are created for adaptability in salt tolerance condition.

 

MATERIALS AND METHODS

Birds

A total of 225 ducks comprised 111 from the TB line and 114 from the BT line (Figure 1) was used. The ducks were raised at the VIGOVA Poultry Research and Development Center. They were kept based on created family units (one male with eight females) with 25 families for one duck line was designed, identified by a wing tag number, and fed according to the standard diet for egg-laying ducks. Commercial feed was provided based on individual family accordingly stages of development: 20-22% crude protein (CP) and 2,850-2,900 kcal metabolizable energy (ME) ad libitum for the starter phase (0 to 8 weeks), 15.5-16.5% CP and 2,700-2,750 kcal ME with restricted feeding for the growing phase (9 to 15 weeks), and 18% CP and 2,700 kcal ME ad libitum for the laying phase (18 to 70 weeks). Clean water was also freely available.

Reproductive parameters recorded included the age at first egg (AFE; in days), the total number of eggs (TNE; eggs) calculated as the number of eggs laid up to 38 weeks of age by the female ducks using individual trap nests, the mean weight of eggs (MEW; in grams) measured by weighing each egg on a digital scale accurate to ±0.01 g, and the total egg weight collected during weeks 37 and 38 (Ibrahim et al., 2018; Nguyen et al., 2023).

Sample Collection and Genomic DNA Extraction Procedures

Blood samples were collected from the ducks at the age of 8 weeks. The management procedures followed best practices to ensure minimal discomfort for the animals, following the guidelines for the best practice of using animals in research based on EU directive 2010/63. A professional technician drew 1 mL of fresh blood from the wing vein of each duck, then placed in EDTA-treated tubes and stored at 4°C on ice. The samples were transported to the laboratory within 12 hours and stored in a refrigerator at 4°C until extraction, which occurred within one week (Huang et al., 2017). Total DNA was extracted using a TopPURE® blood DNA extraction kit (ABT-Vietnam), following the supplier’s guidelines. Total extracted DNA was quantified using two methods: 1% agarose gel electrophoresis and optical density (OD) measurement at wavelengths 260 nm and 280 nm with a NanoBioDrop (BioDrop, UK) spectrophotometer and then preserved at -80°C for further use.

PCR Amplification, PCR-RFLP Assay and Electrophoresis

The PCR amplification of the intron 1 PRL gene region was performed using a Thermo Scientific™ DreamTaq Green PCR Master Mix (2X) (Thermo Scientific, USA), nuclease-free water (Thermo Scientific, USA), agarose (Bioline, UK), a 100-bp ladder (Thermo Scientific, USA), and 0.5X TAE buffer (Vietnam). The PCR reaction was carried out in a total volume of 12.5 µL of chemical components as 0.4 µL of each primer (10 pmol/µL), 3.45 µL of nuclease-free water (Thermo Scientific), 2 µL of DNA template (50 ng/µL) and 6.25 µL of Master Mix (a ready-to-use mixture of Taq DNA polymerase, PCR buffer, MgCl2, and dNTPs). The primer design tool on the NCBI website (https://www.ncbi.nlm.nih.gov/) was used to design a primer based on the sequence identified by accession number AB158611.1. The designed primers had sequences of 5’- ATCGAGGTAAACTCCACGAC -3’ (forward primer) and 5’- TTCAGTGACACTGCTCAGTG-3’ (reverse primer) with a 441 bp fragment length. The thermal cycling program of the PCR reaction included pre-denaturation at 95°C for 3 minutes, followed by 35 cycles of denaturation at 95°C for 30 seconds, annealing at 59°C for 30 seconds, extension at 72°C for 30 seconds and a post-extension at 72°C for 7 minutes (Nguyen et al., 2023). The negative control for PCR involved running a reaction without adding any template DNA. After electrophoresis, the PCR products were visualized using 1% agarose gel stained with GelRed. A 100 bp DNA ladder was run alongside the samples, and the gel was visualized using a GelDoc It2 system (UVP, USA).

Each digestion reaction had a total volume of 11 µL comprising 5 µL of nuclease-free water, 2 µL of PCR products, 3 µL of 10X CutSmart® Buffer, and 1 µL of XbaI restriction enzyme (25 units/µL). A negative control with all components except the XbaI enzyme was not included. The reaction mixture was incubated at 37°C overnight. The restriction enzyme was then deactivated by adding 4 µL of 2X Gel Loading Dye, Purple (New England Biolabs) to each reaction and incubating at room temperature for 15 minutes following the manufacturer’s instructions. The results were verified by electrophoresis using a 2% agarose gel for 30 minutes. The expected outcomes after the digestion of the three genotypes were TT yield two fragments as 274/167 bp (both alleles are digested), TG yield three fragments of 441/274/167 bp (one allele is digested and other one is undigested), and a GG yield one fragment of 441 bp (none digested by enzyme).

Data Analysis

The restriction enzymes were identified using the NebCutter program version 3.0 (https://nc3.neb.com/NEBcutter/). Allele and genotypic frequencies were calculated following the method described by Abdolhay et al. (2012). Observed heterozygosity (Ho) and expected heterozygosity (He) were determined using the formulas from Cui et al. (2023). A Chi-square (χ2) test was conducted to assess whether the population was in Hardy-Weinberg equilibrium, as described by Rosalinda et al. (2024). The polymorphic information content (PIC) was assessed according to the method described by Serrote et al. (2020). The effective number of alleles (Ne) is a crucial metric for genetic diversity. This value represents the number of effective alleles in a population, equivalent to the number of alleles that, if they had equal frequencies, would produce the same level of genetic diversity observed in the population (Ahmadi et al., 2007). The Ne was calculated using the formula:

Where; pi is the frequency of the ith allele and k is the total number of alleles in the population (Nei, 1978).

A one-way analysis of variance (ANOVA) was conducted to evaluate the impact of prolactin gene polymorphism on reproductive traits, followed by Tukey’s test for post-hoc comparisons. A significance level of P<0.05 was used for statistical tests conducted with Minitab software version 22.0.

RESULTS AND DISCUSSION

DNA Amplification and Genotyping of the Prolactin Gene

A 441-base pair (bp) fragment from intron 1 of the prolactin gene was successfully amplified across all the duck samples, with the representative electrophoresis image shown in Figure 2. This successful amplification across all the samples demonstrated the consistency and reliability of the procedure. At the negative control position, the absence of a band indicated no contamination during the PCR process.

 

The next step in the PCR-RFLP technique involved digesting all the PCR products with the restriction enzyme XbaI. The resulting electrophoresis image is presented in Figure 3.

 

As showed in the Figure 3, the G and T alleles and three genotypic (TT, GT, GG) were detected across all the TB and BT crossbred duck groups. The XbaI restriction enzyme was used to identify three genotypes within the studied duck populations: 441 bp for the GG genotype, 441/274/167 bp for the TG genotype, and 274/167 bp for the TT genotype. This research focused on the SNP 376 C>A (accession number AB158611) to identify genetic polymorphisms in the two studied duck populations following that suggested by several studies (Wang et al., 2011; Mazurowski et al., 2016; Chuekwon and Boonlum, 2017; Yurnalis et al., 2019).

In TB hybrid ducks, three genotypes TT, TG, and GG were observed with the T allele frequency reaching 0.914 and the G allele frequency 0.086 in females (Table 1). In males, only the TT and TG genotypes were detected, with T and G allele frequencies of 0.875 and 0.125, respectively. For the BT crossbred duck line, the T allele frequency in females was 0.876 and the G allele frequency was 0.124, while the T allele frequency was 0.84 and the G allele frequency was 0.16 in males. Females from the TB line exhibited higher T allele frequency (0.914) than females from the BT line (0.876). Similarly, males from the TB line had a higher T allele frequency (0.875) than those from the BT line (0.84). These data indicated that the T allele was dominant in TB and BT hybrid ducks, aligning with trends reported in various duck breeds in China (Wang et al., 2011). By contrast, Chuekwon and Boonlum (2017) reported that the frequency of TT, TG, and GG genotype was 0.07, 0.37, and 0.56, respectively, with a predominance of the G allele at a frequency of 0.74 on Khaki Campbell ducks that showed a markedly different pattern with current study. Whole, monomorphism at the SNP position 376 C>A (accession number AB158611) was observed in certain duck breeds including Muscovy (Mazurowski et al., 2016) and Perkin (Sabry et al., 2020). The controversial data among studies could be due to the different of breed sources examined. In current study, the dominant of T allele frequency in TB and BT hybrid ducks could be due to high selection pressure that applied to select the birds in advance for increasing of egg production leading to inbreeding aimed at increasing homozygosity with imbalance allele frequency, it is a necessary step in developing these hybrid lines (Qin et al., 2024).

The newly created duck population exhibited an effective number of alleles (Ne) of approximately 1.2 across both lines. Such a low Ne (Ne<5) signifies very limited genetic diversity, primarily resulting from extensive inbreeding (Debnath et al., 2023) carried out over multiple generations to develop specific parental lines for hybridization, leading to reduced allelic diversity (Trakovická et al., 2014; Zhang et al., 2016). The polymorphic information content (PIC) values in the BT and TB duck lines were less than 0.25,

 

Table 1: Analysis of prolactin gene polymorphism at the PRL/XbaI locus.

Line	Parameter		Genotype frequency			Allelic frequencies		He	Ne	PIC	χ2
			TT	TG	GG	T	G
BT	M	N	18	6	1	0.84	0.16	0.269	1.368	0.233	0.14
		Observed frequency	0.72	0.24	0.04
		Expected frequency	0.706	0.269	0.025
	F	N	68	20	1	0.876	0.124	0.217	1.278	0.194	0.05
		Observed frequency	0.764	0.225	0.011
		Expected frequency	0.767	0.217	0.016
	Total	N	86	26	2	0.868	0.132	0.229	1.297	0.203	0.0005
		Observed frequency	0.754	0.228	0.018
		Expected frequency	0.753	0.229	0.018
TB	M	N	18	6	0	0.875	0.125	0.218	1.28	0.195	-
		Observed frequency	0.75	0.25	0
		Expected frequency	0.766	0.218	0.016
	F	N	73	13	1	0.914	0.086	0.157	1.187	0.145	0.07
		Observed frequency	0.839	0.149	0.012
		Expected frequency	0.835	0.157	0.008
	Total	N	91	19	1	0.906	0.094	0.17	1.205	0.156	0.0001
		Observed frequency	0.82	0.171	0.009
		Expected frequency	0.821	0.17	0.009

 

Note: M: male; F: female; χ 2 tabulated (0.05, 1) = 3.841; He: Expected heterozygosity; Ho: Observed frequency.

 

indicating low polymorphism levels. A low PIC value reflects the selective breeding process, where individuals were predominantly chosen for high egg production, leading to diminished molecular diversity (Abdalhag et al., 2015; Chesnokov and Artemyeva, 2015; Nguyen et al., 2023). These factors underscore the risks associated with reduced genetic diversity and inbreeding within these newly established lines.

To test whether a population follows Hardy-Weinberg equilibrium (HWE), the chi-square test (χ2) is based on allele frequencies in the population. Since this population has 2 alleles, the degrees of freedom (df) will be 1 (Debnath et al., 2023). The computed χ² value in Table 1 was less than the critical χ² value at the 0.05 significance level for df = 1, suggesting that the genotype distribution adhered to Hardy-Weinberg equilibrium (Basumatary et al., 2019; Sari et al., 2022; Sanni et al., 2024). The adherence to HWE may be attributed to factors such as a sufficiently large population size and the process of creating the TB and BT hybrid lines being random mating. This result suggested that the BT and TB populations were in genetic equilibrium and less influenced by selection, mutation, migration, or genetic drift affecting allele frequencies, it could be due to randomly and rotational male used for creating the new line applied, although the imbalance of allele was found as above.

Comparative Analysis of Reproductive Parameters and Association of PRL/XbaI Genotypes with Egg Production in Reciprocal Hybrid Duck Lines (BT and TB)

Comparison of the reproductive parameters of duck lines: The reproductive parameters of the two reciprocal hybrid duck lines (BT and TB) demonstrated statistically significant differences in key egg production (Table 2). The age at first egg (AFE) was earlier in the TB line (148.08 days) compared to the BT line (150.91 days) but no statistical significance was found (P > 0.05). Egg yield (EY) up to 38 weeks of age was significantly higher in the BT line than in the TB line (102.16 vs. 96.63 eggs; P < 0.01). Furthermore, the average egg weight (EW) at 38 weeks was substantially greater in the BT line, averaging 75.95 grams, with the TB line exhibiting a significantly lower average of 72 grams (P < 0.01). These findings highlighted the superior performance of the BT line in terms of egg yield and egg weight, with differences between the lines showing strong statistical significance.

 

Table 2: Reproductive parameters within the examined duck populations.

Reproductive traits	BT N (Mean ± SE)	TB N (Mean ± SE)	P-value
AFE (days)	88 (150.91b±1.15)	86 (148.08a±1.33)	0.1081*
EY (eggs)	88 (102.16a±1.00)	86 (96.63b±1.25)	0.0007***
EW (grams)	88 (75.95a±0.38)	86 (72,00b±0.39)	0.0001***

 

Note: AFE: Age at first egg; EY: egg yields up to 38 weeks of age; EW: egg weight at week 38; N: number of individuals; a, b: Values in the same row without common superscripts differ significantly; *: P < 0.05; ***: P < 0.01.

 

Table 3: Association of PRL/XbaI genotypes on reproductive parameters.

Parameter	Duck line	Genotypes of PRL/XbaI locus		P- value
		TT N (Mean ± SE)	TG N (Mean ± SE)
AFE (days)	BT	68 (150.7B±1.38)	20 (151.6B±2.03)	0.7497
	TB	73 (147.9A±1.51)	13 (149.3A±2.37)	0.6997
	P-value	0.1758	0.4846
EY (eggs)	BT	68 (101.9A±1.21)	20 (103.3A±1,76)	0.5877
	TB	73 (97.1B±1.37)	13 (94.75B±2.94)	0.3765
	P-value	0.0086***	0.0069***
EW (gam)	BT	68 (76.4a, A±0.43)	20 (74.3b, A±0.74)	0.0183*
	TB	73 (72.4a, B±0.42)	13 (69.9b, B±0.88)	0.0245*
	P-value	0.0001***	0.0007***

 

Note: AFE: Age at first egg; EY: egg yields up to 38 weeks of age; EW: egg weight at week 38; N: number of individuals; a, b: Values in the same row without common superscripts differ significantly; A, B: Values in the same column of each parameter without common superscripts differ significantly; *: P < 0.05; ***: P < 0.01.

 

Association of PRL/XbaI genotypes with egg production in reciprocal hybrid duck lines:Statistical data from analyzing the association of PRL/XbaI genotypes with reproductive traits are presented in Table 3. There were no statistically significant differences (P>0.05) between TT/XbaI and TG/XbaI genotypes for age at first egg and egg yield in BT and TB lines (Table 3). In the BT line, the age at first egg was 150.7 days for TT/XbaI and 151.6 days for TG/XbaI, with an egg yield of 101.9 and 103.3 eggs, respectively. In the TB line, the age at first egg was 147.9 days for TT/XbaI and 149.3 days for TG/XbaI, with an egg yield of 97.1 and 94.75 eggs, respectively. Several published studies reported that the PRL/XbaI polymorphism in intron 1 of Khaki Campbell ducks showed a significant impact on egg production. For egg yield, ducks with the GT/XbaI genotype (53.32 eggs) exhibited significantly higher egg production compared to those with GG/XbaI (37.50 eggs) and TT/XbaI (36.67 eggs) genotypes (Chuekwon and Boonlum, 2017). The controversial results could be come from the different source of duck breeds, previously selection pressure of duck population examined, further study is required.

In the BT line, the average egg weight was 76.4 ± 0.43 grams for the TT genotype and 74.3 ± 0.74 grams for the TG genotype. In the TB line, the average egg weight was 72.4 ± 0.42 grams for the TT genotype and 69.9 ± 0.88 grams for the TG genotype. These differences were statistically significant (P<0.05), suggesting that the PRL/XbaI locus may influence egg weight in both duck lines. These polymorphisms in the PRL gene within intron 1 that affect duck egg weight were consistent with findings from various previous studies (Li et al., 2009; Bai et al., 2019). Investigation on the Gaoyou duck breed in China revealed that polymorphisms in intron 1 influenced egg weight at the PRL/DraI locus, with the AB/DraI genotype (74.51 g) exhibiting the lowest egg weight compared to the AA/DraI (76.8 g) and BB/DraI (76.72 g) genotypes (Li et al., 2009). Similarly, Bai et al. (2019) reported that polymorphisms in intron 1 of the PRL gene affected egg weight in two Chinese domestic duck lines, Jinding and Youxian, using single-strand conformation polymorphism (PCR-SSCP) analysis. In general, intron 1 does not directly code for proteins but several hypotheses have been proposed to explain its influence, ex: Li et al., (2009) indicated that some introns contain nucleotide sequences that can be translated into novel peptides, which may interact with peptides from the N-terminal exons. Furthermore, the A/C mutation in the non-coding region can also impact gene expression by affecting regulatory elements. Certain intronic SNPs may also activate hidden splice sites, leading to alternative splicing (Chang et al., 2012; Chuekwon and Boonlum, 2017). Therefore, while introns are not involved in protein synthesis, variations within intron 1 could potentially affect translation through mechanisms that warrant further investigation. Many studies have shown that gene sequences in intron regions influence the protein expression of these genes (Gallegos and Rose, 2019; Li et al., 2022; Lin et al., 2024). Intron sequences, once excised during the splicing process, can play a significant role in the formation of microRNAs (miRNAs) (MacFarlane and Murphy, 2010). These miRNAs are small RNA molecules, derived from intronic regions of pre-mRNA. The miRNAs are involved in post-transcriptional regulation by binding to complementary sequences in target mRNAs, leading to their degradation or inhibition of translation (Dong et al., 2023). This regulatory mechanism allows miRNAs to modulate gene expression and influence protein function (Huang et al., 2024). We hypothesized that the influence of the intron 1 region on egg weight differences could be explained by the formation of miRNAs during transcription, where introns are excised. These intron-derived miRNAs are associated with the prolactin gene expression regulation in ducks, thereby affecting egg weight, however, further research is needed to elucidate this hypothesis.

In the same genotype, the BT duck line exhibited higher egg yield and egg weight values compared to the TB duck line (Table 3). Specifically, for the TT genotype, the egg yield in the BT line was 101.9 ± 1.21, whereas in the TB line, it was 97.1 ± 1.37 (P < 0.01). Similarly, for the TG genotype, the BT line demonstrated an egg yield of 103.3 ± 1.76, compared to 94.75 ± 2.94 in the TB line (P < 0.01). When comparing the egg weight of the two duck lines with the same TT/XbaI genotype (Figure 4), the BT duck line showed a significantly higher egg weight compared to the TB duck line (76.4 ± 0.43 grams v.s 72.4 ± 0.42 grams; P<0.01) and this difference was statistically significant at P < 0.01, indicating that the BT duck line produced notably heavier eggs than the TB duck line, resulting in an increase in the total egg yield in terms of quantity. Furthermore, TB line originated from TC male with high egg number in reproductive cycle, meanwhile, BT line originated from Bien breed with less egg number but high egg weight.

 

Egg weight in ducks is known to influence various aspects of egg quality, including the yolk-to-albumen ratio, shell weight, shell thickness, and hatchability of ducklings (Kokoszyński et al., 2007; Abd El-Hack et al., 2019; Jalaludeen and Churchil, 2022). Heavier duck eggs tend to have a higher yolk proportion compared to lighter eggs (Applegate et al., 1998; Onbasilar et al., 2011; Kuru et al., 2023). Consequently, eggs with larger yolks offer greater nutritional value, as yolks are primarily composed of proteins and lipids (Ahn et al., 1997; Liu et al., 2022). Pekin ducks in China showed an inverse relationship between egg weight and shell thickness (Ipek and Sozcu, 2017; Nasri et al., 2020), implying that as egg weight increased, the eggshell became thinner, making it harder for the ducklings to hatch (Galić et al., 2019). The mortality rate of early stage of embryonic development and hatchability rate are higher in heavier eggs compared to lighter ones (Onbaşılar et al., 2011; Kuru et al., 2023). Therefore, depending on the production goals, ducks with the TT/XbaI genotype can be selected from either the BT or TB line. For breeding purposes, the association of PRL/XbaI polymorphism with the yolk egg rate and hatchability rate require further study in both lines.

CONCLUSIONS AND RECOMMENDATIONS

This study identified prolactin gene polymorphisms in intron 1 for the first time across two reciprocal crossbred duck lines, BT and TB, with three genotypes and two alleles (SNP 376 C>A). Results revealed the impact of the polymorphism at PRL/XbaI locus on egg weight, with the TT/XbaI genotype producing a heavier egg weight. Our findings suggested that this marker can be utilized in selective breeding to improve egg yield through egg weight component. Additionally, maintaining the T allele and TT genotype in the practical condition should be considered and further studies are required to explore these associations as clear comprehensively.

ACKNOWLEDGMENTS

We are deeply grateful to all the VIGOVA staffs for collecting of duck blood samples for testing and diligent recording of duck phenotype data during this study.

NOVELTY STATEMENT

This study is the first to investigate the polymorphism of the prolactin gene in intron 1 within reciprocal crosses (BT, TB), demonstrating the positive association of PRL/XbaI in intron 1 on egg production in the new created crossbred ducks with high adaptability to climate change conditions in Vietnam.

AUTHOR’S CONTRIBUTIONS

Tan Loi Le, designed the primers, conducted the genotyping, analyzed the genotype data, and drafted the manuscript. Thi Tuong Vi Trang, analyzed the association of genotype with phenotype data. Tuan Thanh Hoang, handled the collection of phenotypic data. Ngoc Tan Nguyen and Pin-Chi Tang supervised the study, reviewed the manuscript, and ensured that the text was free from plagiarism. All authors have reviewed and approved the final version of the manuscript.

Conflict of Interest

The authors confirm that they have no conflicts of interest.

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