Sage Journals: Discover world-class research

Abstract

Reproductive traits are affected by many factors, including ovarian function, hormones, and genetics. Genetic polymorphisms of candidate genes are associated with reproductive traits. Several candidate genes are associated with economic traits, including the follistatin (FST) gene. Thus, this study aimed to evaluate whether the genetic variations in the FST gene are associated with the reproductive traits in Awassi ewes. The genomic DNA was extracted from 109 twin ewes and 123 single-progeny ewes. Therefore, 4 sequence fragments from the FST gene were amplified using polymerase chain reaction (PCR) (exon 2/240, exon 3/268, exon 4/254, and exon 5/266 bp, respectively). For a 254 bp amplicon, 3 genotypes were identified: CC, CG, and GG. Sequencing revealed a novel mutation in CG genotypes c.100C > G. The statistical analysis of c.100C > G showed an association with reproductive characteristics. Ewes carrying the c.100C > G had significantly (P ⩽ .01) lower litter sizes, twinning rates, lambing rates, and more days to lambing compared with CG and CC genotypes. Logistic regression analysis confirmed that the c.100C > G single-nucleotide polymorphism (SNP) is responsible for decreasing litter size. According to these results, the variant c.100C > G negatively affects the traits of interest and is associated with lower reproductive traits in Awassi sheep. As a result of this study, ewes carrying the c.100C > G SNP have lower litter size and are less prolific.

Keywords

Follistatin litter size polymorphism ovary sheep

Introduction

Reproductive traits play a significant role in sheep productivity.^1,2 Genetics and the environment influence reproductive traits. Sheep reproductive traits are regulated predominantly by genetic factors.^3-5 Among the candidate genes associated with reproduction in livestock, follistatin (FST) is located on chromosome 7 of caprine, chromosome 20 of cattle, and chromosome 16 of sheep, which is composed of 6 exons.^6,7 This gene encodes FST protein, is a monomeric glycoprotein (31-39 kD), that binds receptors on cysteine-rich cells and microenvironments.⁸ It is expressed widely in the ovary, skin, and skeletal muscle.⁶ The primary function of FST is to bind and neutralize activin through its binding properties.^9,10 Since FST binds to activin, it inhibits follicle-stimulating hormone (FSH) secretion by blocking its receptor (Act-RII) from combining with it.^8,11 Through suppressing FSH secretion from the anterior pituitary, FST controls granulosa cell differentiation, follicular growth, atresia, and luteinization processes.¹² In livestock species, FST variations affect sheep productivity.¹³ According to the findings of Ma et al,⁶ 2 single-nucleotide polymorphisms (SNPs) (Chr 16. 25 633 662 A > G; Chr 16. 25 633 569 T > C) are associated with traits associated with wool quality in Chinese Merino sheep. In White Leghorn and Aseel chickens, haplogroups KF921968.1, KF921969.1, MK455102, and MK45510 are associated significantly with growth traits (P < .05).¹⁰ Recently, a study by Zhu et al⁷ revealed that SNP_chr7-65652612, located at the 3′ untranslated regions (3′ UTR ) of FST-like-4, significantly relating to litter size in Dazu black goats of the first and second parity. However, the relationship between FST variants and reproductive traits in Awassi sheep has not been investigated.

The Awassi breed is dominant mainly in Middle Eastern countries.¹⁴ Despite their ability to cope with harsh conditions in unfavorable situations,¹⁵ Awassi sheep have been reported to be less prolific than Karakul and Assaf sheep in the Middle East.¹⁶ Most breeders in the Middle East are concerned about Awassi sheep’s low reproductive performance, which drives efforts to improve their reproductive quality. The FST gene may be useful in improving breeding efficiency in Awassi sheep. Therefore, this study examined possible associations between FST polymorphisms and reproductive traits in Awassi sheep by examining polymorphisms within its coding regions.

Materials and Methods

Animal

The study was conducted between July 2021 and April 2022 at Al-Qasim Green University according to international guidelines (Agri, No. 015,7, 20). The study included 232 ewes of 3 to 4 years of age that were sexually mature and multiparous. The ewes were classified as 123 singletons and 109 twins according to their reproductive history, weighing 40 to 60 kg. Therefore, 2 stations—Babylon and Karbala—were randomly selected for the ewes. In the studied flocks, 10 to 12 rams were randomly allocated to mate with about 20 to 25 ewes per ram, with male identification recorded. Veterinarians confirmed the rams’ health and demonstrated their fertile status, as they previously produced offspring. A record of lambing dates and litter sizes was kept from 160 to 200 days after the ram was introduced. All animals were fed individually and kept in similar nutrition conditions. The animals were fed daily a concentrated diet composed of 59% barley, 40% bran, and 1% salt in proportion to their body weight of 2.5%. However, 3 kg alfalfa and 1 kg of straw were also fed to each animal. All animals had access to fresh water at all times. Several reproductive traits were recorded at the breeding stations, including twinning rate, lambing rate, days to lambing, survival rate, and litter size.

DNA and polymerase chain reaction

Genetic analysis was performed by collecting blood from the sheep’s jugular vein. Rapid salting-out method was used for the extraction of genomic DNA.¹⁷ NCBI Primer-BLAST¹⁸ was used to amplify the FST genetic sequence for all 232 animals. Polymerase chain reaction (PCR) experiments were performed with Bioneer PreMix (50 μM deoxynucleotide triphosphates [dNTPs], 10, 30, and 1.5 mM Tris-HCl, KCl, and MgCl₂, respectively, and 1 U Top DNA polymerase). The optimal PCR amplification conditions were determined using a thermal gradient device (Eppendorf, Germany) (Table 1). The PCR reaction was performed at 94°C for 4 minutes, then 30 cycles (30 seconds each) of 94°C, annealing, and 72°C were conducted.¹⁹ A Chemidoc Gel Imager (Bio-Rad, USA) was used to image agarose gel images of PCR products electrophoresed on agarose gels (2%).²⁰

Table 1.

The oligonucleotide primer sets designed for the ampliﬁcation of the ovine FST gene. The symbols “F” and “R” refer to forward and reverse primers, respectively. The design was based on the ovine NCBI Reference Sequence NC_056069.1.

Primer code	Locus	Sequence (5'-3')	Binding coordinate in the genome		Amplicon length (bp)	Annealing temperature (°C)
Primer code	Locus	Sequence (5'-3')	Start	Stop	Amplicon length (bp)	Annealing temperature (°C)
FST,exo2-F	Exon 2	AGCCCTACCTTTACACGGGA	25761558	25761577	240	61.0
FST,exo2-R		CGGCTCACTTGCCTACCTC	25761797	25761779		61.0
FST,exo3-F	Exon 3	GGGTCTACCTCAAGCAGAAGG	25760867	25760887	268	61.0
FST,exo3-R		GAAACGTGTGAGAACGTGGAC	25761134	25761114		61.0
FST,exo4-F	Exon 4	TCCTTCCTCAATCCAGAATACCT	25760339	25760361	254	59.8
FST,exo4-R		TCAGAGACCTGTCGGGATGT	25760592	25760573
FST,exo5-F	Exon 5	ACGGCAGCAAGGTTAGAAGT	25759453	25759472	266	58.6
FST,exo5-R		TCCTAGAAGCAAAGTCCTGTGA	25759718	25759697		58.6

Abbreviation: NCBI, National Center for Biotechnology Information.

Single-strand conformation polymorphism

A genotype-based analysis was performed using the methodology described in Al-Thuwaini et al.²¹ Denaturing loading buffers were added equally to each PCR amplicons (95% formamide, 0.05% xylene cyanol, and 20 mM EDTA, pH 8). A PCR amplicon was denatured for 7 minutes, then placed on wet ice and stored for 10 minutes. Samples were loaded in a 0.5 TBE buffer in polyacrylamide gels with a neutral denaturant. Following this step, the gels were electrophoresed at room temperature for 4 hours with 200 mA and 100 V. According to Byun et al²² protocol, gels were stained using the rapid staining protocol.

DNA sequencing

Sequence laboratories (Macrogen, Geumcheon-gu, Korea) performed downstream reactions on all 232 animals once single-strand conformation polymorphism (SSCP) bands were detected on polyacrylamide gels. A sequence of the FST gene was obtained from the NCBI (https://www.ncbi.nlm.nih.gov). DNA polymorphisms within genotypes were visualized and edited with SnapGene Viewer 4.0.4 and BioEdit 7.1 (DNASTAR, Madison). To determine the novelty of observable variants, Ensembl genome browser 96 was used (https://asia.ensembl.org/index.html).

Statistical analysis

A genotype and allele frequency analysis was performed using PopGen32, version 1.31.²³ The Hardy–Weinberg equilibrium (HWE) was calculated, and the polymorphism information content (PIC) was determined according to Botstein et al.²⁴ Genotype associations were analyzed using IBM SPSS 23.0 (NY, USA) as follows

Y_{i j k} = μ + G_{ι} + P_{j} + e_{i j k}

where Y_ijk are phenotypic traits, μ is mean, G_i is the fixed effect of ith genotypes (i = CC, CG, GG), P_j is the fixed effect of jth parity (j = 1, 2, 3), and e_ijk is random residual error. Statistical significance was determined at .05 with the Tukey–Kramer test. A chi-square test was conducted on 2 reproductive traits: lambing rate and birth type. The FST polymorphisms and litter size were analyzed using logistic regression. Model results in the preliminary analysis did not show any effect on interactions, lambing season, and age, so these were excluded from the calculation.

Results

Genotyping of FST gene, sequencing analysis, and genetic diversity

Overall, 4 FST gene coding regions corresponding to 240, 268, 254, and 266 bp were screened with PCR designs (Figure 1A). Electrophoresis showed monomorphic migration of all PCR-SSCP patterns containing amplicons covering exons 2, 3, and 5. A 254-bp amplicon designed for exon 4 showed 3 different PCR-SSCP patterns (Figure 1B). Sequencing reactions showed that only one of the SSCP variants contained the c.100C > G SNP, confirming the exon 4 heterogeneity. As a result of this nucleic acid substitution, CC, CG, and GG were assigned to the detected SSCP variants with homozygous C/C and G/G patterns, and the heterozygous C/G patterns found in the PCR-amplified products (Figure 1C). According to SNP bioinformatics analysis, the silent SNP p.205Tyr= had negative influences on the FST protein (Figure 1D).

Figure 1.

A schematic diagram for the FST gene-based PCR-SSCP-sequencing strategy within Awassi ewes. (A) PCR design of 4 PCR specific primers pairs for the amplification of 240, 268, 254, and 266 bp in exons 2, 3, 4 and 5, respectively. (B) PCR-SSCP genotyping, in which only exon 4 showed 3 genotypes, homozygous and heterozygous. (C) DNA sequencing electropherograms of the detected genotypes, in which 1 SNP, c.100C > G, was detected in the exon 4 in the heterozygous CG genotype. (D) SNP bioinformatics analysis of the observed silent p.205Tyr= SNP in the FST gene.

Genetic diversity analysis of FST revealed that CC genotype dominated the study population with a frequency of 0.48 (n = 111). The frequency of GG genotype was 0.35 (n = 82), followed by 0.17 (n = 39) for CG genotype. Based on PIC results (0.25 < PIC < 0.50), this study showed moderate polymorphism levels at the c.100C > G locus. Compared with HWE, a chi-square test indicated distinct differences (P ⩽ .05) in the FST polymorphisms (Table 2).

Table 2.

Genetic diversity of the FST gene in Awassi ewes detected by PCR-SSCP.

Observed genotypes			Genotype frequencies			Allele frequencies		Ho	He	Ne	PIC	χ²
CC	CG	GG	CC	CG	GG	C	G	Ho	He	Ne	PIC	χ²
n = 111	n = 39	n = 82	0.48	0.17	0.35	0.56	0.44	0.16	0.49	1.96	0.37	101.26

All chi-square tests have 2 degrees of freedom and within the significance level P ⩽ .05.

Abbreviations: χ², chi-square; He, expected heterozygosity; Ho, observed heterozygosity; n, number of individuals; Ne, effective allele frequency; PCR, polymerase chain reaction; PIC, polymorphism information content; SSCP, single-strand conformation polymorphism.

Association analysis of FST gene with reproductive traits

In the association analysis between p.205Tyr= SNP locus and reproductive traits, CC genotype ewes, and CG and GG genotype ewes did not differ significantly (P ⩾ .05) concerning survival rate. Meanwhile, at the same p.205Tyr= SNP locus, individuals with CC genotype had statistically higher (P ⩽ .01) litter size, twinning ratio, lambing rate, and fewer days to lambing than individuals with CG and GG genotypes (Table 3). The logistic regression analysis provided further insight into the relationship between p.205Tyr= SNP and litter size. Ewes with the CC genotype had 1.65 lambs per animal compared with CG and GG genotypes. In this case, p.205Tyr= SNP adversely affected these traits.

Table 3.

The association between FST genetic polymorphism at locus c.100C > G and reproductive performance in Awassi ewes. (A) Reproductive performance for each genotype is shown. (B) Logistic regression analysis of FST genotypes and litter size in Awassi ewes is shown.

A/Genotypes	Progeny type (%)		Lambing rate (%)	Days to lambing (LSM ± SE)	Survival rate %
A/Genotypes	Singleton	Twin	Lambing rate (%)	Days to lambing (LSM ± SE)	Survival rate %
TT	28 (28.87)	69 (71.13)	94	159 ± 11.9^a	164 (98.79)
TC	34 (64.15)	19 (35.84)	86	170 ± 12.3^a,b	70 (97.22)
CC	61 (74.39)	21 (25.60)	82	178 ± 14.6^b	100 (97.08)
P-value	.001	.001	.02	.01	.23
B/Genotypes	Litter size(LSM ± SE)	Logistic regression analysis		P-value
B/Genotypes	Litter size(LSM ± SE)	β	Odds ratio (95% CI)	P-value
TT	1.71 ± 0.10^a	1.00	Reference	—
TC	1.35 ± 0.03^a,b	−1.48	1.77 (1.11-4.63)	.001
CC	1.26 ± 0.12^b	−1.96	2.15 (1.40-6.51)	.001

The P-value with statistical significance is indicated in bold numbers. Twinning rate (is the propensity to have more twin litters per 100 ewes at the same average lambing percentage). Number of days to lambing (number of days between the joining of rams until the subsequent lambing).

Survival rates of the lambs (the numbers of dead lambs were determined until weaning). Litter size (the number of lambs born per ewe lambing).

Abbreviations: CI, confidence interval; LSM ± SE, least square means ± standard error; β, regression coefficients.

a,b

Significant differences in means represent by differences in the same column within each classification.

Discussion

Polymorphism of FST gene and SNP bioinformatics

Molecular genotyping and genetic diversity analyses revealed polymorphisms in exon 4 of the FST gene in Awassi sheep. In livestock, FST gene variations have been investigated in several studies. According to Ma et al,⁶ sequencing analysis of Chinese Merino sheep (Junken type) identified 7 SNPs in the FST gene. Dushyanth et al¹⁰ reported polymorphisms in the FST gene coding region (exons 2 and 5) of native American (Aseel) and white leghorn chickens. The SNaPshot software is used by Zhu et al⁷ to detect 26 SNPs and 1 deletion in UTRs from 186 Dazu black goats. However, there is a lack of literature on FST polymorphism and Awassi sheep. Accordingly, this study will provide genotypic details and new associations applicable to selecting sheep for marker-assisted selection, enabling future programs to measure functional traits more effectively.

Concerning SNP bioinformatics, the results revealed that silent mutation p.205Tyr= SNP negatively affected reproductive traits. This situation could be explained by the fact that silent mutations have previously been shown to be involved in biological processes.²⁵ Although silent mutations do not change amino acids, they can interfere with RNA splicing, affecting protein production negatively. Furthermore, it can alter regulatory sequences and lower gene expression.²⁶ According to Manning and Cooper,²⁷ silent variants can influence RNA synthesis and translation initiation. Changes in RNA secondary structures can affect many functions of the genome, including protein folding, accessibility of RNA to functional sites, and alternative splicing.²⁸ However, silent SNPs have been rarely reported to affect phenotypic traits in the literature.

Association analysis of the FST genotypes with reproductive traits of Awassi ewes

There was a highly significant (P ⩽ .01) association between the SNP and reproductive traits in those ewes with the p.205Tyr= SNP had higher litter size, twinning ratio, lambing rate, and fewer days to lambing than ewes with CG and GG genotypes. Mammalian FST controls steroidogenesis, oocyte development, and follicular cell division and differentiation.²⁹ A previous study by Lee et al³⁰ suggested that FST derived from the oocyte is crucial for determining the competence of oocytes in cattle by speeding up their development into blastocysts. Based on O’Connell et al,³¹ activins and FST facilitate luteinization and conceptus implantation by interfering with multiple reproductive processes. Activin-FST influences the production of gonadotropin receptors and steroid hormones, which are responsible for the differentiation and growth of antral follicles.³² FST, activin, and inhibin interact with autocrine/paracrine to regulate anterior pituitary FSH secretion.³³ Activin internalization and degradation are inhibited by FST, decreasing their bioavailability and preventing FSH secretion.³⁴ High levels of FSH and luteinizing hormone (LH) affect ovarian follicle development and maturation, resulting in increased litter size.^35,36 In Dazu black goats, FST polymorphisms are associated with litter sizes.⁷ Despite this, there has been little study of the relationship between FST variants and reproductive traits in livestock, and little is known about FST polymorphisms and their impact on sheep reproduction. As a result of these results, FST appears to be a promising candidate gene for sheep marker selection.

Conclusions

There was an association between genotype variations of the FST gene and reproduction in Awassi sheep. Animals of the CC genotype had higher twinning rates, higher lambing rates, and shorter days to lambing than animals of the CG and GG genotypes. These traits are adversely affected by the silent variant p.205Tyr= SNP. Identifying genetic polymorphisms in the FST gene can be recommended to improve sheep reproductive performance using a marker-assisted selection program.

Footnotes

Acknowledgements

The authors express great appreciation for the ewes provided by sheep stations in Babylon and Karbala.

Author Contributions

All authors contributed equally.

Declaration Of Conflicting Interests:

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Funding:

The author(s) received no financial support for the research, authorship, and/or publication of this article.

References

Esmaeili-Fard

Gholizadeh

Hafezian

Abdollahi-Arpanahi

. Genome-wide association study and pathway analysis identify NTRK2 as a novel candidate gene for litter size in sheep. PLoS ONE. 2021;16:e0244408. doi:10.1371/journal.pone.0244408

Al-Thuwaini

Kareem

. Novel missense variant L46Q of fatty acid synthase gene and fatty acids content in Awassi sheep. Acta Sci Anim Sci. 2022;44:e56273. doi:10.4025/actascianimsci.v44i1.56273

Murphy

Keele

Freking

. Genetic and nongenetic factors influencing ewe prolificacy and lamb body weight in a closed Romanov flock. J Anim Sci. 2020;98:skaa283. doi:10.1093/jas/skaa283

AL-Thuwaini

. Adiponectin and its physiological function in ruminant livestock. Rev Agric Sci. 2022;10:115-122. doi:10.7831/ras.10.0_115

Al-Thuwaini

Al-Hadi

ABA

. Association of lamb sex with body measurements in single and twin on the Awassi ewes. Adv Anim Vet Sci. 2022;10:1849-1853. doi:10.17582/journal.aavs/2022/10.8.1849.1853

Chu

Zhang

, et al. Polymorphisms of FST gene and their association with wool quality traits in Chinese Merino sheep. PLoS ONE. 2017;12:e0174868. doi:10.1371/journal.pone.0174868

Zhu

Wang

Yang

. Single nucleotide polymorphisms in the 3′ UTR of follistatin-like 4 and scavenger receptor class B member 1 are associated with Dazu black goat litter size. Can J Anim Sci. 2022;102:473-479. doi:10.1139/cjas-2020-0170

Parfenova

Kukes

Grishin

. Follistatin-like proteins: structure, functions and biomedical importance. Biomedicines. 2021;9:999. doi:10.3390/biomedicines9080999

Walpurgis

Weigand

Knoop

, et al. Detection of follistatin-based inhibitors of the TGF-β signaling pathways in serum/plasma by means of LC-HRMS/MS and Western blotting. Drug Test Anal. 2020;12:1636-1648. doi:10.1002/dta.2925

10.

Dushyanth

Shukla

Chatterjee

Bhattacharya

. Expression and polymorphism of Follistatin (FST) gene and its association with growth traits in native and exotic chicken. Anim Biotechnol. 2022;33:824-834. doi:10.1080/10495398.2020.1838917

11.

Pang

Tong

Zhou

. Molecular cloning, expression pattern of follistatin gene and association analysis with growth traits in bighead carp (Hypophthalmichthys nobilis). Comp Biochem Physiol B Biochem Mol Biol. 2018;218:44-53. doi:10.1016/j.cbpb.2018.02.003

12.

Shen

Iskenderian

Lundberg

, et al. Protein engineering on human recombinant follistatin: enhancing pharmacokinetic characteristics for therapeutic application. J Pharmacol Exp Ther. 2018;366:291-302. doi:10.1124/jpet.118.248195

13.

Gebreselassie

Berihulay

Jiang

. Review on genomic regions and candidate genes associated with economically important production and reproduction traits in sheep (Ovies aries). Animals. 2019;10:33. doi:10.3390/ani10010033

14.

Imran

Al-Thuwaini

Al-Shuhaib

MBS

Lepretre

. A novel missense single nucleotide polymorphism in the GREM1 gene is highly associated with higher reproductive traits in Awassi sheep. Biochem Genet. 2021;59:422-436. doi:10.1007/s10528-020-10006-x

15.

Al-Thuwaini

. The relationship of hematological parameters with adaptation and reproduction in sheep; a review study. Iraqi J Vet Sci. 2021;35:575-580. doi:10.33899/ijvs.2020.127253.1490

16.

Mohammed

Al-Thuwaini

Al-Shuhaib

MBS

. A novel p. K116Q SNP in the OLR1 gene and its relation to fecundity in Awassi ewes. Theriogenology. 2022;184:185-190. doi:10.1016/j.theriogenology.2022.03.014

17.

Al-Shuhaib Mohammed Baqur

. A universal, rapid, and inexpensive method for genomic DNA isolation from the whole blood of mammals and birds. J Genet. 2017;96:171-176. doi:10.1007/s12041-017-0750-6

18.

Coulouris

Zaretskaya

Cutcutache

Rozen

Madden

. Primer-BLAST: a tool to design target-specific primers for polymerase chain reaction. BMC Bioinformatics. 2012;13:134. doi:10.1186/1471-2105-13-134

19.

Ajafar

Al-Thuwaini

Dakhel

. Association of OLR1 gene polymorphism with live body weight and body morphometric traits in Awassi ewes. Mol Biol Rep. 2022;49:4149-4153. doi:10.1007/s11033-022-07481-3

20.

Al-Thuwaini

. Association between polymorphism in BMP15 and GDF9 genes and impairing female fecundity in diabetes type 2. Middle East Fertil Soc J. 2020;25:1-10. doi:10.1186/s43043-020-00032-5

21.

Al-Thuwaini

Al-Shuhaib

MBS

Hussein

. A novel T177P missense variant in the HSPA8 gene associated with the low tolerance of Awassi sheep to heat stress. Trop Anim Health Prod. 2020;52:2405-2416. doi:10.1007/s11250-020-02267-w

22.

Byun

Fang

Zhou

Hickford

JGH

. An effective method for silver-staining DNA in large numbers of polyacrylamide gels. Anal Biochem. 2009;385:174-175. doi:10.1016/j.ab.2008.10.024

23.

Yeh

Yang

Boyle

. Microsoft Window-Based Freeware for Population Genetic Analysis (POPGENE) (Version 1.31). University of Alberta; 1999.

24.

Botstein

White

Skolnick

Davis

. Construction of a genetic linkage map in man using restriction fragment length polymorphisms. Am J Hum Genet. 1980;32:314-331.

25.

Alexander

Fang

Rozowsky

Snyder

Gerstein

. Annotating non-coding regions of the genome. Nat Rev Genet. 2010;11:559-571. doi:10.1038/nrg2814

26.

McIntosh

Mastaglia

Wilton

Aung-Htut

. Neurodegenerative diseases: a hotbed for splicing defects and the potential therapies. Transl Neurodegener. 2021;10:1-18. doi:10.1186/s40035-021-00240-7

27.

Manning

Cooper

. The roles of RNA processing in translating genotype to phenotype. Nat Rev Mol Cell Biol. 2017;18:102-114. doi:10.1038/nrm.2016.139

28.

Yan

Sham

Wang

. Exploring the function of genetic variants in the non-coding genomic regions: approaches for identifying human regulatory variants affecting gene expression. Brief Bioinform. 2015;16:393-412. doi:10.1093/bib/bbu018

29.

Stangaferro

Matiller

Díaz

, et al. Role of activin, inhibin, and follistatin in the pathogenesis of bovine cystic ovarian disease. Anim Reprod Sci. 2014;148:97-108. doi:10.1016/j.anireprosci.2014.06.005

30.

Lee

Bettegowda

Wee

Ireland

Smith

. Molecular determinants of oocyte competence: potential functional role for maternal (oocyte-derived) follistatin in promoting bovine early embryogenesis. Endocrinology. 2009;150:2463-2471. doi:10.1210/en.2008-1574

31.

O’Connell

McNatty

Hurst

, et al. Activin A and follistatin during the oestrous cycle and early pregnancy in ewes. J Endocrinol. 2016;228:193-203. doi:10.1530/joe-15-0367

32.

Tian

Ren

Liu

, et al. Transcriptomic comparison of ovarian granulosa cells between adult sheep and prepubertal lambs. BMC Genomics. 2022;23:1-17. doi:10.1186/s12864-022-08379-x

33.

Padmanabhan

Cardoso

. Neuroendocrine, autocrine, and paracrine control of follicle-stimulating hormone secretion. Mol Cell Endocrinol. 2020;500:110632. doi:10.1016/j.mce.2019.110632

34.

Cash

Rejon

McPherron

Bernard

Thompson

. The structure of myostatin: follistatin 288: insights into receptor utilization and heparin binding. EMBO J. 2009;28:2662-2676. doi:10.1038/emboj.2009.205

35.

Luo

Huang

, et al. Effect of prepregnancy obesity on litter size in primiparous minipigs. J Am Assoc Lab Anim Sci. 2018;57:115-123.

36.

Ajafar

Kadhim

AL-Thuwaini

. The reproductive traits of sheep and their influencing factors. Rev Agric Sci. 2022;10:82-89. doi:10.7831/ras.10.0_82

A Novel c.100C > G Mutation in the FST Gene and Its Relation With the Reproductive Traits of Awassi Ewes

Abstract

Keywords

Introduction

Materials and Methods

Animal

DNA and polymerase chain reaction

Single-strand conformation polymorphism

DNA sequencing

Statistical analysis

Results

Genotyping of FST gene, sequencing analysis, and genetic diversity

Association analysis of FST gene with reproductive traits

Discussion

Polymorphism of FST gene and SNP bioinformatics

Association analysis of the FST genotypes with reproductive traits of Awassi ewes

Conclusions

Footnotes

Acknowledgements

Author Contributions

Declaration Of Conflicting Interests:

Funding:

References