Identification of Somatostatin Receptor Subtype 1 (SSTR1) Gene Polymorphism and Their Association with Growth Traits in Hulun Buir Sheep
by
, ,
Xue Li
1,2,3
,
Ning Ding
1,2,3,
Zhichao Zhang
1,2,3,
Dehong Tian
1,3,
Buying Han
1,2,3,
Sijia Liu
1,3,
Dehui Liu
1,2,3,
Fei Tian
1,3 and
Kai Zhao
1,3,* 1
Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810001, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
Qinghai Provincial Key Laboratory of Animal Ecological Genomics, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China
*
Author to whom correspondence should be addressed.
Genes 2022, 13(1), 77; https://doi.org/10.3390/genes13010077
Submission received: 30 November 2021
/
Revised: 22 December 2021
/
Accepted: 27 December 2021
/
Published: 28 December 2021
(This article belongs to the Special Issue Molecular Mechanism Analysis of Important Traits and Breeding of New Breeds of Sheep)
Abstract
:This study was conducted to evaluate SSTR1 gene polymorphisms and their association with growth traits in Hulun Buir sheep. We followed 233 Hulun Buir sheep from birth to 16 months of age, born in the same pasture and on the same year under a consistent grazing conditions. The body weight (BW), body height (BH), body length (BL), chest circumference (ChC), chest depth (ChD), chest width (ChW), hip width (HW), and cannon circumference (CaC) were measured and recorded at birth, 4 months, 9 months, and 16 months of age. The polymorphisms of the SSTR1 gene in Hulun Buir sheep were excavated using exon sequencing, and association analyses of between SNPs and growth traits at each growth stage were conducted. The results showed that there were four SNPs in Exon 2 of the SSTR1 gene, SNP1, SNP2, and SNP3 were low mutation sites, and SNP4 was a moderate mutation site. Four SNPs were consistent with Hardy–Weinberg equilibrium, and all of them were synonymous mutations. The association analyses found that the genotypes of SNP2 were significantly associated with WW and BH at 4 months of age, BW, BL, ChC, and HW at 9 months of age (p < 0.05), and extremely significantly associated with ChD at 4 and 9 months of age (p < 0.01). There were significant associations between SNP3 and BH at 9 months of age, between SNP4 and ChD, ChW, and CaC at 9 months of age, and BW and ChC at 16 months of age (p < 0.05). There were no detectable associations with growth traits among the seven haplotypes between the SNP1, 3, and 4 of a strong linkage disequilibrium (p > 0.05). These results indicated that SNP2, SNP3, and SNP4 may be used as molecular markers for growth traits of Hulun Buir sheep.
1. Introduction
The Hulun Buir sheep is a famous native breed in China, and is distributed in Hulun Buir city, Inner Mongolia. It has the advantages of outstanding stress resistance, strong adaptability, and a particularly high quality of meat with low fat and a variety of amino acids. As a traditional mutton sheep breed, Hulun Buir sheep has not been selected using advanced breeding methods, thus showing low productivity, a slow growth rate, and a low slaughter rate. Many candidate genes have been reported to regulate metabolism and control the growth rate of domestic animals [1,2,3]. Single-nucleotide variant in these genes were widely used as molecular markers, which accelerated the breeding process and improved productivity.
Somatostatin (SST), also known as growth hormone-inhibiting hormone or somatotropin release-inhibiting factor, is considered as a hypothalamic factor that inhibits the secretion of growth hormone (GH) [4]. In mammals, there are five somatostatin receptor subtypes (SSTR1-5) [5,6]; SST and SSTRs are widely distributed in the central nervous system, pancreas, intestines, stomach, kidney, liver, pancreas, lungs, and placenta, and are involved in diverse biological effects [7], but it only works when it binds to G-protein-coupled SSTRs [8]. The mechanisms by which SSTRs regulate growth and developments are complex and coordinated by many mechanisms [9]. Firstly, SSTRs represses the secretion of prolactin, thyroid-stimulating hormone (TSH) [10,11], the stomach secrete hormone, growth hormone releasing hormone (GHRH), secretin, glucagon, insulin, and SST itself in the pancreas [12]. Secondly, SSTRs decrease the nutrient absorption rate in the gastrointestinal tract by inhibiting the secretion of gastrointestinal hormones and digestive enzymes [13]. Besides, they control digestion and absorption rates by reducing gastrointestinal motility, gallbladder contraction, and blood flow, which also in turn affect feed conversion and growth characteristics [14].
The nucleotide sequence of the SSTR1 gene is highly conserved among species, and ovine SSTR1 shares 88% sequence homology with human, 84% homology with rat, and 87% homology with mouse [15]. SSTR1 plays a more important role in insulin and GH secretion than other receptors, particularly in maintaining basal levels of GH [16]. It has been reported that suppressed SSTR1 expression leads to weight loss and a decreased growth rate in mice [17,18]. In humans, SSTR1 has been revealed to be associated with cancers and tumors, and its selective agonists have been used as cancer therapies [19]. In domestic animals, genetic variants have been identified in the SSTR1 gene of goat and the 3’UTR region of New Zealand Romney sheep were associated with growth traits [20,21].
Considering the importance of SSTR1 in controlling the growth hormone axis, and the lack of research on the effect of the SSTR1 gene on growth performance in sheep, the genetic polymorphisms in this gene of Hulun Buir sheep were examined, the association between each genotype and its growth traits were analyzed in this study.
2. Materials and Methods
2.1. Sample Collection and DNA Isolation
The experimental population consisted of 233 purebred Hulun Buir sheep (124 females and 109 males), which were raised on one farm under the same feeding and management conditions of grazing. The growth traits of each sheep were recorded from birth to adulthood at 16 months of age, including birth weight (BRW), body weight (BW), body length (BL), body height (BH), chest circumference (ChC), chest depth (ChD), chest width (ChW), hip width (HW), and cannon circumference (CaC). All animal experiments were conducted following the procedures described in the “Guidelines for animal care and use” manual, and were approved by the Animal Care and Use Committee, Northwest Institute of Plateau Biology, Chinese Academy of Sciences.
2.2. Primer Design and Sequencing
Ear tissue was collected and preserved in 75% alcohol. DNA was purified using A DNA extraction kit (TIANGEN, Beijing, China). Primers were designed for all exons of SSTR1 gene using Primer3 v0.4.0(1) [22]. The SSTR1 gene transcript has three exons (ENSOART00020017811.1), and one primer pair was designed covering exons 1 to 2 and another one between exons 2 and 3. Information on the primers is presented in Table 1.
PCR amplifications were carried out in a 30-μL reaction consisting of 100 ng of DNA, 15 μL of 2 × Taq PCR Master Mix, 1 μL of each primer, and double-distilled water (dH2O) to make up the volume. Amplifications were performed using Bio-rad S1000 thermal cyclers (Bio-Rad, Hercules, CA, USA). The thermal profile was as follows: initial denaturation at 94 °C for 2 min, followed by 35 cycles 94 °C for 10 s (denaturation), 60 °C for 30 s (annealing), 72 °C for 60 s (elongation), with a final extension step at 72 °C for 5 min. The PCR products were visualized using 1.0% agarose gel electrophoresis to determine amplicon quality and quantity. The sequencing was performed to identify mutations using Sanger sequencing (Applied Biosystems, Foster City, CA, USA). DNAMAN (version 5.2.10, Lynnon Biosoft, Montreal, QC, Canada) was used to conduct sequence analyses.
2.3. Population Genetic Analyses
Population genetic indexes, including allele frequency, heterozygosity (He), observed heterozygosity (Ho), effective allele numbers (Ne), and the polymorphism information content (PIC) were analyzed according to Nei’s methods [23]. Hardy–Weinberg equilibrium (HWE) was tested for genotypes of SNPs using web-based software (http://scienceprimer.com/hardy-weinberg-equilibrium-calculator, accessed on 20 November 2021). Linkage didequilibrium (LD) analysis and haplotypes were assessed using HAPLOVIEW (v.4.2) [24].
2.4. Statistical Analysis
SPSS Statistics (version 19, IBM, Armonk, NY, USA) was used to perform all analyses and values were expressed as mean ± SE (standard error). General linear mixed models (GLMMs) were carried out to examine the associations between the genotypes and individual growth traits, and statistical significance was defined at p < 0.05. In this model, genotype and gender are fixed factors, the interaction between these two fixed factors was judged by the test of the intersubjective effect. If there is an interaction between genotype and gender, the follow statistical model was used:
where:
Y = μ + Genotype + Gender + Combination + ε
- Y is the trait measured on each animal (BW, BL, BH, ChW, ChD, ChW, HW, and CaC);
- μ is the mean for the trait;
- Genotype is the genotype effect;
- Gender is the gender effect;
- Combination is the combination effect of the gender and genotype;
- ε is the random error and is assumed to be independent, N (0, σ2) distribution.
If there is no interaction between genotype and gender, the following statistical model was used:
where:
Y = μ + Genotype + ε
- Y is the trait measured on each animal (BW, BL, BH, ChW, ChD, ChW, HW, and CaC);
- μ is the mean for the trait;
- Genotype is the genotype effect;
- ε is the random error and is assumed to be independent, N (0, σ2) distribution.
3. Results
3.1. Polymorphism in SSTR1 Gene
A total of four SNPs were identified in the SSTR1 gene of Hulun Buir sheep have been deposited in dbSNP database, which were defined as SNP1 (A345G, rs415509729), SNP2 (A285G, rs426187704), SNP3 (C309T, rs404696179), and SNP4 (G951C, rs405457403). These SNPs were synonymous mutations located on exon 2 of SSTR1. The sequenced peak maps for four SNPs are illustrated in Figure 1, Figure 2, Figure 3 and Figure 4.
3.2. Population Genetics and the Linkage Disequilibrium Analysis
Ne was calculated for each SNP, ranging from 1 to 2. The allele frequency of SNPs met the Hardy–Weinberg equilibrium balance (p > 0.05). The PIC indicated that SNP4 was a moderate polymorphism, and SNP1–3 were classified as having a low polymorphic locus (Table 2). Linkage disequilibrium analysis showed a strong linkage disequilibrium (D’ > 0.85) between SNP1, SNP3, and SNP4 (Figure 5), and a total of seven common seven haplotypes were identified in this linkage disequilibrium region.
3.3. Association Analysis of Genetic Variants and Haplotypes in SSTR1 with Growth Traits of Hulun Buir Sheep
The effect of genotypes on phenotypic value was considered in this study, and association studies were conducted in 233 sheep to assess the effects of SNPs on the growth traits at birth and at 4 months of age (Table 3), 9 months of age (Table 4), and 16 months of age (Table 5) of age. Table 6, Table 7 and Table 8 show the results of association analyses between the haplotypes and growth traits at birth and 4, 9, and 16 months of age, respectively.
3.3.1. Association Analysis of SSTR1 with Growth Traits at Birth and 4 Months of Age in Hulun Buir Sheep
The analyses found that the genotypes of SNP2 were significantly associated with WW and BH (p < 0.05) and extremely significantly associated with ChD at 4 months of age (p < 0.01). SNP1, SNP3, and SNP4 were not significantly correlated with all the phenotypes (p > 0.05; Table 3).
3.3.2. Association Analysis of SSTR1 with Growth Traits at 9 Months in Hulun Buir Sheep
Among the phenotypes at 9 months, we identified a significant association between SNP2 and BW, BL, ChC, and HW, between SNP3 and BH, as well as between SNP4 and ChD, ChW, and CaC (p < 0.05). Additionally, SNP2 was extremely significantly associated with ChD (p < 0.01; Table 4).
3.3.3. Association Analysis of SSTR1 with Growth Traits at 16 Months in Hulun Buir Sheep
Among the phenotypes at 16 months, SNP3 had a significant association with BW and ChC (p < 0.05), and had a highly significant association with BL and BH (p < 0.01). No significant differences were observed between the rest of the SNPs with other phenotypic data (p > 0.05; Table 5).
3.3.4. Haplotype Association Analysis with Growth Traits
4. Discussion
Growth is one of the most important economical traits monitored in domestic animals, and therefore is the main objective of most genetic-selection programs [25]. As the main measure of growth traits, body weight and body measurements have important impacts on the production of meat and wool [26]. In this study, we recorded these productive traits from birth to adulthood in Hulun Buir sheep, which included body weight and seven body size indicators at 4, 9, and 16 months. The phenotypic data contained the main growth traits of the sheep development, which provided a comprehensive understanding of growth trends in Hulun Buir sheep. Therefore, because our data were so comprehensive, and the experimental time so long, there are very few other studies that are comparable.
Single nucleotide polymorphisms (SNPs), defined as a substitution, insertion, or deletion of a single nucleotide, are important genetic sources for animal breeding, which regulate gene expression and protein functions, depending on the location of the SNP in regulatory sequences or coding regions [27]. Exons are protein-coding regions consisting of only 1–2% of the genome, and the mutation rate in exons is approximately 1/5 that of non-coding regions [28]; however, almost 85% of reported disease-causing genes harbored mutations in their exons, which is of great significance in the study of genetic diseases [29]. Exome sequencing, thus, is the most efficient approach to identify potentially functional mutations, which might be related to phenotypes in domestic animals [30]. Thus, exome sequencing is the most cost-efficient sequencing approaches for conducting genome research and animal phenotyping [31]. According to the above arguments, we used exon sequencing technology to identify SNPs associated with growth traits more effectively.
Linked loci are of particular concern as there is substantial linkage disequilibrium between causal SNPs [32]. Studies have shown that body size is maintained by the build-up of inter-population linkage disequilibrium between loci, caused by selection [32]. In our study, there was a linkage disequilibrium between SNP1, SNP3, and SNP4, seven haplotypes were formed from three linked SNPs, but there was no association between growth traits. This result may be due to the small sample size, or the SNPS in this gene may interact with other genes.
To discover the potential functional mutations related to the growth traits in Hulun Buir sheep, we conducted exon sequencing of the SSTR1 gene, The ovine SSTR1 gene transcript has three exons and two introns (ENSOART00020017811.1) located on chromosome 18 (GenBank, Gene ID: 443202), encoding 1089 bp base (47398442–47400840) and 362 amino acid residues [33]. As a receptor of somatostatin, the SSTR1 gene plays an important role in many physiological processes, such as cell anti-proliferation, and inhibition of gastrointestinal motility and regulates a variety of signal transduction pathways [34]. Four SNPs (A345G, A285G, C309T and G951C) were all in Hardy–Weinberg equilibrium, which indicated an adequate population size of Hulun Buir sheep under random mating (or without selection) in the experiment [35]. None of them caused a change in amino acid sequence, known as synonymous SNPs [36]. Several lines of evidence suggested that synonymous mutations can affect translation kinetics and protein folding, which lead to phenotypic changes [37,38]. Although all these SNPs in SSTR1 were synonymous mutations, our analyses suggested these SNPs had a significant association with the growth traits of Hulun Buir sheep at 4, 9, and 16 months of age.
SSTR1 is an important peptide hormone that regulates diverse functions, including cell proliferation, neurotransmission, and particularly, inhibiting the release of growth hormone [39]. Therefore, SSTR1 is a potential candidate gene for growth traits in livestock. Jin et al. identified the sequence variations in the PS2 locus of caprine SSTR1, which were associated with growth traits, including BL, BH, CaC, and, ChC [20]. The SNPs in the 3′-UTR of ovine SSTR1 were associated with BW, hot carcass weight, and VIAscan fat depth at the 12th rib [21]. In the current study, we discovered new mutations in the coding region of SSTR1 in Hulun Buir sheep, indicating the potential application of the SSTR1 gene in the sheep breeding.
In our results, SNP2 was found to be significantly correlated with WW, BH, and ChD at 4 months of age, and BW, BL, ChC, ChD, and HW at 9 months. SNP4 was significantly correlated with ChW, ChD, and CaC at 9 months. SNP3 was significantly associated with BW, BL, BH, and ChC at 16 months of age. These results suggest that SNP2 and SNP4 may mainly affect the growth traits of sheep in the early growth period (4 to 9 months of age), while SNP3 may affect the growth traits in the mature period (16 months of age). Therefore, we can infer that SNP2 and SNP4 may be used as molecular markers for early growth and development traits of Hulun Buir sheep, and SNP3 may be used for the late growth period. Although we found seven haplotypes from three linked SNPs, none of them were associated with growth traits in the experimental population. Further analyses, including increasing the population size and identifying more SNPs, are required to explore the associations between haplotypes and growth traits in Hulun Buir sheep.
5. Conclusions
In the current study, we applied exon sequencing technology to screen the SSTR1 gene and discovered four SNPs in Hulun Buir sheep for the first time. Despite synonymous mutations in all SNPs, SNP2, SNP3, and SNP4 were associated with the BW, BH, BL, ChC, ChW, HW, and CaC in 4-, 9-, and 16-month-old Hulun Buir sheep, which indicated that these SNPs could be used as molecular markers for the selection of growth traits in Hulun Buir sheep. Our analyses also suggested that local Chinese sheep breeds harbor important genetic resources, which have potential implications in animal breeding.
Author Contributions
F.T., D.T. and K.Z. designed the research and revised the manuscript. X.L. analyzed the data and prepared the manuscript. X.L. and N.D. performed experiments. Z.Z. assisted in data collection. B.H. and D.L. assisted in performing experiments. S.L. assisted in data analyses. All authors have read and agreed to the published version of the manuscript.
Funding
This work was supported by Strategic Priority Research Program of Chinese Academy of Sciences, Grant No. XDA (26040303-01); “Wang Kuancheng Leading Talents Program for Industrial and Research Talents support Project” of Chinese Academy of Sciences; Project of Ecological Grassland Animal Husbandry Engineering Laboratory, Chinese Academy of Sciences (KFJ-PTXM-007).
Institutional Review Board Statement
The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institutional Review Board of Northwest Institute of Plateau Biology, Chinese Academy of Sciences (NWIPB2020302, 13 April 2020).
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare that they have no conflict of interest.
References
- Wang, H.; Zhang, L.; Cao, J.; Wu, M.; Ma, X.; Liu, Z.; Liu, R.; Zhao, F.; Wei, C.; Du, L. Genome-Wide Specific Selection in Three Domestic Sheep Breeds. PLoS ONE 2015, 10, e0128688. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Al-Mamun, H.A.; Kwan, P.; Clark, S.A.; Ferdosi, M.H.; Tellam, R.; Gondro, C. Genome-wide association study of body weight in Australian Merino sheep reveals an orthologous region on OAR6 to human and bovine genomic regions affecting height and weight. Genet. Sel. Evol. 2015, 47, 66. [Google Scholar] [CrossRef] [Green Version]
- La, Y.; Zhang, X.; Li, F.; Zhang, D.; Li, C.; Mo, F.; Wang, W. Molecular Characterization and Expression of SPP1, LAP3 and LCORL and Their Association with Growth Traits in Sheep. Genes 2019, 10, 616. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Brazeau, P.; Vale, W.; Burgus, R.; Ling, N.; Butcher, M.; Rivier, J.; Guillemin, R. Hypothalamic Polypeptide That Inhibits the Secretion of Immunoreactive Pituitary Growth Hormone. Science 1973, 179, 77–79. [Google Scholar] [CrossRef] [PubMed]
- Quan, F.B.; Desban, L.; Mirat, O.; Kermarquer, M.; Roussel, J.; Koëth, F.; Marnas, H.; Djenoune, L.; Lejeune, F.-X.; Tostivint, H.; et al. Somatostatin 1.1 contributes to the innate exploration of zebrafish larva. Sci. Rep. 2020, 10, 15235. [Google Scholar] [CrossRef] [PubMed]
- Maecke, H.R.; Reubi, J.C. Somatostatin Receptors as Targets for Nuclear Medicine Imaging and Radionuclide Treatment. J. Nucl. Med. 2011, 52, 841–844. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Finley, J.C.W.; Maderdrut, J.L.; Roger, L.J.; Petrusz, P. The immunocytochemical localization of somatostatin-containing neu-rons in the rat central nervous system. Neuroscience 1981, 6, 2173–2192. [Google Scholar] [CrossRef]
- Anzola, L.K.; Rivera, J.N.; Dierckx, R.A.; Lauri, C.; Valabrega, S.; Galli, F.; Lopez, S.M.; Glaudemans, A.W.J.M.; Signore, A. Value of Somatostatin Receptor Scintigraphy with 99mTc-HYNIC-TOC in Patients with Primary Sjögren Syndrome. J. Clin. Med. 2019, 8, 763. [Google Scholar] [CrossRef] [Green Version]
- Weckbecker, G.; Lewis, I.; Albert, R.; Schmid, H.A.; Hoyer, D.; Bruns, C. Opportunities in somatostatin research: Biological, chemical and therapeutic aspects. Nat. Rev. Drug Discov. 2003, 2, 999–1017. [Google Scholar] [CrossRef]
- Luque, R.M.; Gahete, M.D.; Hochgeschwender, U.; Kineman, R.D. Evidence that endogenous SST inhibits ACTH and ghrelin expression by independent pathways. Am. J. Physiol. Metab. 2006, 291, E395–E403. [Google Scholar] [CrossRef] [PubMed]
- Colturi, T.J.; Unger, R.H.; Feldman, M. Role of circulating somatostatin in regulation of gastric acid secretion, gastrin release, and islet cell function. Studies in healthy subjects and duodenal ulcer patients. J. Clin. Investig. 1984, 74, 417–423. [Google Scholar] [CrossRef] [Green Version]
- Lloyd, K.C.; Amirmoazzami, S.; Friedik, F.; Chew, P.; Walsh, J.H. Somatostatin inhibits gastrin release and acid secretion by activating sst2 in dogs. Am. J. Physiol. Content 1997, 272, G1481–G1488. [Google Scholar] [CrossRef] [PubMed]
- Tulassay, Z. Somatostatin and the Gastrointestinal Tract. Scand. J. Gastroenterol. 1998, 33, 115–121. [Google Scholar] [CrossRef] [PubMed]
- Strowski, M.Z.; Parmar, R.M.; Blake, A.D.; Schaeffer, J.M. Somatostatin Inhibits Insulin and Glucagon Secretion via Two Receptor Subtypes: An in Vitro Study of Pancreatic Islets from Somatostatin Receptor 2 Knockout Mice. Endocrinology 2000, 141, 111–117. [Google Scholar] [CrossRef] [PubMed]
- Debus, N.; Dutour, A.; Vuaroqueaux, V.; Oliver, C.; Ouafik, L. The ovine somatostatin receptor subtype 1 (osst1): Partial cloning and tissue distribution. Domest. Anim. Endocrinol. 2001, 21, 73–84. [Google Scholar] [CrossRef]
- Kailey, B.; van de Bunt, M.; Cheley, S.; Johnson, P.R.; MacDonald, P.E.; Gloyn, A.L.; Rorsman, P.; Braun, M. SSTR2 is the functionally dominant somatostatin receptor in human pancreatic β- and α-cells. American journal of physiology. Endocrinol. Metab. 2012, 303, E1107–E1116. [Google Scholar] [CrossRef] [Green Version]
- Kreienkamp, H.-J.; Akgün, E.; Baumeister, H.; Meyerhof, W.; Richter, D. Somatostatin receptor subtype 1 modulates basal inhibition of growth hormone release in somatotrophs. FEBS Lett. 1999, 462, 464–466. [Google Scholar] [CrossRef] [Green Version]
- Nespeca, M.; Giorgetti, C.; Nobile, S.; Ferrini, I.; Simonato, M.; Verlato, G.; Cogo, P.; Carnielli, V.P. Does Whole-Body Hypothermia in Neonates with Hypoxic–Ischemic Encephalopathy Affect Surfactant Disaturated-Phosphatidylcholine Kinetics? PLoS ONE 2016, 11, e0153328. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Wang, X.; Norman, M.; Yang, J.; Magnusson, J.; Kreienkamp, H.-J.; Richter, D.; DeMayo, F.; Brunicardi, F. Alterations in glucose homeostasis in SSTR1 gene-ablated mice. Mol. Cell. Endocrinol. 2006, 247, 82–90. [Google Scholar] [CrossRef]
- Jin, Q.J.; Sun, J.J.; Fang, X.T.; Zhang, C.L.; Yang, L.; Chen, D.X.; Shi, X.Y.; Du, Y.; Lan, X.Y.; Chen, H. Molecular characterization and polymorphisms of the caprine Somatostatin (SST) and SST Receptor 1 (SSTR1) genes that are linked with growth traits. Mol. Biol. Rep. 2010, 38, 3129–3135. [Google Scholar] [CrossRef] [PubMed]
- Zhao, F.; Zhou, H.; Li, S.; Fang, Q.; Luo, Y.; Hickford, J.G.H. Growth and carcass trait association with variation in the somatostatin receptor 1 (SSTR1) gene in New Zealand Romney sheep. N. Z. J. Agric. Res. 2017, 61, 477–486. [Google Scholar] [CrossRef]
- Koressaar, T.; Remm, M. Enhancements and modifications of primer design program Primer3. Bioinformatics 2007, 23, 1289–1291. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Nei, M.; Roychoudhury, A.K. Sampling variances of heterozygosity and genetic distance. Genetics 1974, 76, 379–390. [Google Scholar] [CrossRef] [PubMed]
- Barrett, J.; Fry, B.; Maller, J.; Daly, M.J. Haploview: Analysis and visualization of LD and haplotype maps. Bioinformatics 2004, 21, 263–265. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Koller, D.; Rodríguez, M.S.; Zubiaur, P.; Ochoa, D.; Almenara, S.; Román, M.; Romero-Palacián, D.; De Miguel-Cáceres, A.; Martín, S.; Gómez, M.N.; et al. The effects of aripiprazole and olanzapine on pupillary light reflex and its relationship with pharmacogenetics in a randomized multiple-dose trial. Br. J. Clin. Pharmacol. 2020, 86, 2051–2062. [Google Scholar] [CrossRef] [PubMed]
- Luo, W.; Zhou, Y.; Wang, J.; Yu, X.; Tong, J. Identifying Candidate Genes Involved in the Regulation of Early Growth Using Full-Length Transcriptome and RNA-Seq Analyses of Frontal and Parietal Bones and Vertebral Bones in Bighead Carp (Hypophthalmichthys nobilis). Front. Genet. 2021, 11, 603454. [Google Scholar] [CrossRef] [PubMed]
- Stevenson, K. Genetic diversity of Mycobacterium avium subspecies paratuberculosis and the influence of strain type on infection and pathogenesis: A review. Vet. Res. 2015, 46, 64. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Single Nucleotide Polymorphisms. In Advanced Structural Safety Studies; Springer: Berlin/Heidelberg, Germany, 2009. [CrossRef] [Green Version]
- Li, H.; Yang, H.; Lv, N.; Ma, C.; Li, J.; Shang, Q. Whole exome sequencing and methylation specific multiplex liga-tion dependent probe amplification applied to identify Angelman syndrome due to paternal uniparental disomy in two unre-lated patients. Mol. Med. Rep. 2019, 20, 1178–1186. [Google Scholar] [CrossRef] [PubMed]
- Li, X.; Luo, R.; Mo, X.; Jiang, R.; Kong, H.; Hua, W.; Wu, X. Polymorphism of ZBTB17 gene is associated with idiopathic dilated cardiomyopathy: A case control study in a Han Chinese population. Eur. J. Med Res. 2013, 18, 10. [Google Scholar] [CrossRef] [Green Version]
- Koch, E.M. The Effects of Demography and Genetics on the Neutral Distribution of Quantitative Traits. Genetics 2019, 211, 1371–1394. [Google Scholar] [CrossRef] [PubMed]
- Routtu, J.; Hall, M.D.; Albere, B.; Beisel, C.; Bergeron, R.D.; Chaturvedi, A.; Choi, J.-H.; Colbourne, J.; De Meester, L.; Stephens, M.T.; et al. An SNP-based second-generation genetic map of Daphnia magna and its application to QTL analysis of phenotypic traits. BMC Genom. 2014, 15, 1033. [Google Scholar] [CrossRef] [Green Version]
- Guo, Y.; Zhao, S.; Lehmann, B.D.; Sheng, Q.; Shaver, T.M.; Stricker, T.P.; Pietenpol, J.A.; Shyr, Y. Detection of internal exon deletion with exon Del. BMC Bioinform. 2014, 15, 332. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Radojevic, V.; Bodmer, D. Expression and localization of somatostatin receptor types 3, 4 and 5 in the wild-type, sstr1 and sstr1/sstr2 knockout mouse cochlea. Cell Tissue Res. 2014, 358, 717–727. [Google Scholar] [CrossRef] [Green Version]
- Liu, X.; Lu, R.; Xia, Y.; Sun, J. Global analysis of the eukaryotic pathways and networks regulated by Salmonella typhimurium in mouse intestinal infection in vivo. BMC Genom. 2010, 11, 722. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Liu, B.; An, T.; Li, M.; Yi, Z.; Li, C.; Sun, X.; Guan, X.; Li, L.; Wang, Y.; Zhang, Y.; et al. The association between early-onset cardiac events caused by neoadjuvant or adjuvant chemotherapy in triple-negative breast cancer patients and some novel autophagy-related polymorphisms in their genomic DNA: A real-world study. Cancer Commun. 2018, 38, 71. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Keller, T.E.; Mis, S.D.; Jia, K.E.; Wilke, C.O. Reduced mRNA Secondary-Structure Stability Near the Start Codon Indicates Functional Genes in Prokaryotes. Genome Biol. Evol. 2012, 4, 80–88. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Chu, D.; Wei, L. Nonsynonymous, synonymous and nonsense mutations in human cancer-related genes undergo stronger purifying selections than expectation. BMC Cancer 2019, 19, 359. [Google Scholar] [CrossRef] [PubMed]
- Taboada, G.F.; Luque, R.M.; Bastos, W.; Guimaraes, R.; Marcondes, J.B.; Chimlii, L.M.C.; Fontes, R.; Mata, P.J.P.; Filho, P.N.; Carvalho, D.P.; et al. Quantitative analysis of soma-tostatin receptor subtype (sstr 1-5) gene expression levels in somatotropinomas and non-function pituitary adenomas. Eur. J. Endocrinol. 2007, 156, 65. [Google Scholar] [CrossRef]
Figure 1.
The sequencing peak map of the SSTR1 and the mutated SNP1 site of Hulun Buir sheep. The sites marked by the red arrow was the SNP1 mutation, which was found and identified in exon 2 of SSTR1, A345G (rs415509729). The sequences were analyzed using DNAMAN software.
Figure 1.
The sequencing peak map of the SSTR1 and the mutated SNP1 site of Hulun Buir sheep. The sites marked by the red arrow was the SNP1 mutation, which was found and identified in exon 2 of SSTR1, A345G (rs415509729). The sequences were analyzed using DNAMAN software.
Figure 2.
The sequencing peak map of the SSTR1 and the mutated SNP2 site of Hulun Buir sheep. The sequencing peak map of the SSTR1 and the mutated SNP2 site of Hulun Buir sheep. The sites marked by the red arrow was the SNP2 mutation, which was found and identified in exon 2 of SSTR1, A285G (rs426187704). The sequences were analyzed using DNAMAN software.
Figure 2.
The sequencing peak map of the SSTR1 and the mutated SNP2 site of Hulun Buir sheep. The sequencing peak map of the SSTR1 and the mutated SNP2 site of Hulun Buir sheep. The sites marked by the red arrow was the SNP2 mutation, which was found and identified in exon 2 of SSTR1, A285G (rs426187704). The sequences were analyzed using DNAMAN software.
Figure 3.
The sequencing peak map of the SSTR1 and the mutated SNP3 site of Hulun Buir sheep. The sites marked by the red arrow was the SNP3 mutation, which was found and identified in exon 2 of SSTR1, C309T (rs404696179). The sequences were analyzed using DNAMAN software.
Figure 3.
The sequencing peak map of the SSTR1 and the mutated SNP3 site of Hulun Buir sheep. The sites marked by the red arrow was the SNP3 mutation, which was found and identified in exon 2 of SSTR1, C309T (rs404696179). The sequences were analyzed using DNAMAN software.
Figure 4.
The sequencing peak map of the SSTR1 and the mutated SNP4 site of Hulun Buir sheep. The sites marked by the red arrow was the SNP4 mutation, which was found and identified in exon 2 of SSTR1, G951C (rs405457403). The sequences were analyzed using DNAMAN software.
Figure 4.
The sequencing peak map of the SSTR1 and the mutated SNP4 site of Hulun Buir sheep. The sites marked by the red arrow was the SNP4 mutation, which was found and identified in exon 2 of SSTR1, G951C (rs405457403). The sequences were analyzed using DNAMAN software.
Figure 5.
The linkage disequilibrium plot of SNPs in SSTR1 of in Hulun Buir sheep. Linkage disequilibrium (LD) estimated among SSTR1 variations in Hulun Buir sheep. The R2 values indicated the group of SNP1, SNP3, and SNP4.
Figure 5.
The linkage disequilibrium plot of SNPs in SSTR1 of in Hulun Buir sheep. Linkage disequilibrium (LD) estimated among SSTR1 variations in Hulun Buir sheep. The R2 values indicated the group of SNP1, SNP3, and SNP4.
Table 1.
Primer information of SSTR1 of Hulun Buir sheep.
| Primer Names | Primer Sequences (5′–3′) | Size (bp) | Tm (°C) |
|---|---|---|---|
| E1-2 | F:ACATCCTCAACCTGGCCATC | 589 | 60 |
| R:AGCTGCACCACATAGAAGGG | |||
| E1-3 | F:CATGGGCTTCCTGCTGC | 558 | 60 |
Table 2.
Population genetics analyses of SSTR1 of in Hulun Buir sheep 1.
| SNP | Allele Frequency | Ho | He | PIC | Ne | HWE | ||
|---|---|---|---|---|---|---|---|---|
| AA | AB | BB | ||||||
| SNP1(A/G) | 0.8233 | 0.1767 | 0 | 0.1612 | 0.1767 | 0.1482 | 1.2146 | 0.2988 |
| SNP2(A/G) | 0.9485 | 0.0515 | 0 | 0.0472 | 0.0503 | 0.0490 | 1.0530 | 0.1198 |
| SNP3(C/T) | 0.8534 | 0.1466 | 0 | 0.1466 | 0.1359 | 0.1266 | 1.1573 | 0.2621 |
| SNP4(G/C) | 0.5193 | 0.4034 | 0.0773 | 0.4034 | 0.4023 | 0.3207 | 1.6731 | 0.5920 |
He = Heterozygosity; Ho = observed heterozygosity; PIC = polymorphism information content; Ne = effective allele numbers; HWE = Hardy–Weinberg equilibrium. 1 A group size of Population genetics analyses was n = 233.
Table 3.
Association analyses of SNPs and genotypes in SSTR1 with growth traits of Hulun Buir sheep at birth and weaning 1.
Table 3.
Association analyses of SNPs and genotypes in SSTR1 with growth traits of Hulun Buir sheep at birth and weaning 1.
| SNP | Genotype Frequency | BRW/kg | BW/kg | BL/cm | BH/cm | ChC/cm | ChD/cm | ChW/cm | HW/cm | CaC/cm |
|---|---|---|---|---|---|---|---|---|---|---|
| SNP1 | AA (n = 191) | 4.20 ± 0.05 | 23.47 ± 0.51 | 57.26 ± 0.50 | 55.98 ± 0.39 | 68.44 ± 0.54 | 28.07 ± 0.22 | 15.83 ± 0.17 | 12.48 ± 0.11 | 7.47 ± 0.04 |
| AG (n = 41) | 4.24 ± 0.11 | 22.99 ± 1.11 | 56.95 ± 1.10 | 56.17 ± 0.86 | 68.35 ± 1.18 | 28.24 ± 0.48 | 15.54 ± 0.36 | 12.31 ± 0.23 | 7.49 ± 0.09 | |
| GG (n = 0) | / | / | / | / | / | / | / | / | / | |
| SNP2 | AA (n = 221) | 4.21 ± 0.05 | 23.65 ± 0.47 a | 57.39 ± 0.47 | 56.21 ± 0.36 a | 68.64 ± 0.50 | 28.24 ± 0.20 A | 15.74 ± 0.15 | 12.42 ± 0.10 | 7.49 ± 0.04 |
| AG (n = 12) | 4.18 ± 0.20 | 19.28 ± 2.03 b | 53.87 ± 2.01 | 52.81 ± 1.56 b | 65.31 ± 2.16 | 25.88 ± 0.87 B | 16.68 ± 0.67 | 13.13 ± 0.43 | 7.27 ± 0.17 | |
| GG (n = 0) | / | / | / | / | / | / | / | / | / | |
| SNP3 | CC (n = 198) | 4.23 ± 0.05 | 23.68 ± 0.50 | 57.41 ± 0.49 | 56.20 ± 0.38 | 68.79 ± 0.53 | 28.18 ± 0.21 | 15.91 ± 0.16 | 12.52 ± 0.10 | 7.49 ± 0.04 |
| CT (n = 34) | 4.10 ± 0.12 | 21.96 ± 1.20 | 55.86 ± 1.19 | 55.16 ± 0.92 | 66.68 ± 1.27 | 27.70 ± 0.52 | 15.17 ± 0.39 | 12.07 ± 0.25 | 7.41 ± 0.10 | |
| TT (n = 0) | / | / | / | / | / | / | / | / | / | |
| SNP4 | CC (n = 121) | 4.16 ± 0.06 | 22.93 ± 0.64 | 56.56 ± 0.63 | 55.60 ± 0.49 | 67.86 ± 0.67 | 27.94 ± 0.27 | 15.66 ± 0.21 | 12.45 ± 0.13 | 7.44 ± 0.05 |
| CG (n = 94) | 4.27 ± 0.07 | 23.91 ± 0.73 | 57.81 ± 0.72 | 56.66 ± 0.56 | 69.00 ± 0.77 | 28.20 ± 0.31 | 15.99 ± 0.24 | 12.46 ± 0.15 | 7.53 ± 0.06 | |
| GG (n = 18) | 4.18 ± 0.16 | 24.06 ± 1.66 | 58.39 ± 1.63 | 55.73 ± 1.27 | 69.72 ± 1.75 | 28.89 ± 0.71 | 15.69 ± 0.54 | 12.46 ± 0.35 | 7.41 ± 0.14 |
BRW = birth weight; BW = body weight; BL = body length; BH = body height; ChC = chest circumference; ChD = chest depth; ChW = chest width, HW = hip width; CaC = cannon circumference. a,b Within a row, means with different superscript letters are significantly different (p < 0.05). A,B Within a row, means with different superscript letters are very significantly different (p < 0.01). 1 Data represent means ± SEM (n = 233).
Table 4.
Association analyses of SNPs and genotypes in SSTR1 with growth traits of Hulun Buir sheep at 9 months of age 1.
Table 4.
Association analyses of SNPs and genotypes in SSTR1 with growth traits of Hulun Buir sheep at 9 months of age 1.
| SNP | Genotype Frequency | BW/kg | BL/cm | BH/cm | ChC/cm | ChD/cm | ChW/cm | HW/cm | CaC/cm |
|---|---|---|---|---|---|---|---|---|---|
| SNP1 | AA (n = 191) | 32.33 ± 0.55 | 66.51 ± 0.37 | 63.59 ± 0.31 | 83.11 ± 0.57 | 32.64 ± 0.22 | 21.55 ± 0.19 | 14.69 ± 0.12 | 7.56 ± 0.04 |
| AG (n = 41) | 31.77 ± 1.24 | 67.32 ± 0.84 | 64.32 ± 0.70 | 84.07 ± 1.29 | 32.55 ± 0.49 | 21.99 ± 0.42 | 14.42 ± 0.26 | 7.59 ± 0.10 | |
| GG (n = 0) | / | / | / | / | / | / | / | / | |
| SNP2 | AA (n = 221) | 32.52 ± 0.51 a | 66.83 ± 0.35 a | 63.84 ± 0.29 | 83.52 ± 0.53 a | 32.81 ± 0.20 A | 21.58 ± 0.18 | 14.70 ± 0.11 a | 7.58 ± 0.04 |
| AG (n = 12) | 27.84 ± 2.18 b | 63.84 ± 1.47 b | 61.68 ± 1.23 | 78.90 ± 2.26 b | 29.70 ± 0.85 B | 22.46 ± 0.75 | 13.74 ± 0.46 b | 7.31 ± 0.17 | |
| GG (n = 0) | / | / | / | / | / | / | / | / | |
| SNP3 | CC (n = 198) | 32.50 ± 0.54 | 66.87 ± 0.37 | 63.96 ± 0.30 a | 83.44 ± 0.57 | 32.74 ± 0.22 | 21.72 ± 0.19 | 14.67 ± 0.11 | 7.59 ± 0.04 |
| CT (n = 34) | 31.07 ± 1.29 | 65.64 ± 0.87 | 62.41 ± 0.72 b | 82.39 ± 1.36 | 32.07 ± 0.52 | 21.17 ± 0.44 | 14.50 ± 0.27 | 7.48 ± 0.10 | |
| TT (n = 0) | / | / | / | / | / | / | / | / | |
| SNP4 | CC (n = 121) | 31.87 ± 0.69 | 66.43 ± 0.47 | 63.07 ± 0.38 | 82.57 ± 0.72 | 32.34 ± 0.27 b | 21.34 ± 0.23 b | 14.56 ± 0.15 | 7.57 ± 0.05 b |
| CG (n = 94) | 32.59 ± 0.80 | 66.84 ± 0.54 | 64.33 ± 0.45 | 83.92 ± 0.83 | 32.76 ± 0.32 b | 21.77 ± 0.27 b | 14.73 ± 0.17 | 7.49 ± 0.06 b | |
| GG (n = 18) | 33.03 ± 1.78 | 67.36 ± 1.20 | 65.03 ± 0.99 | 84.65 ± 1.84 | 34.03 ± 0.70 a | 22.88 ± 0.60 a | 14.78 ± 0.37 | 7.94 ± 0.14 a |
BW = body weight; BL = body length; BH = body height; ChC = chest circumference; ChD = chest depth; ChW = chest width, HW = hip width; CaC = cannon circumference. a,b Within a row, means with different superscript letters are significantly different (p < 0.05). A,B Within a row, means with different superscript letters are very significantly different (p < 0.01). 1 Data represent means ± SEM (n = 233).
Table 5.
Association analyses of SNPs and genotypes in SSTR1 with growth traits of Hulun Buir sheep at 16 months of age 1.
Table 5.
Association analyses of SNPs and genotypes in SSTR1 with growth traits of Hulun Buir sheep at 16 months of age 1.
| SNP | Genotype Frequency | BW/kg | BL/cm | BH/cm | ChC/cm | ChD/cm | ChW/cm | HW/cm | CaC/cm |
|---|---|---|---|---|---|---|---|---|---|
| SNP1 | AA (n = 191) | 38.01 ± 0.48 | 72.61 ± 0.53 | 67.35 ± 0.37 | 81.78 ± 0.40 | 33.60 ± 0.34 | 19.44 ± 0.25 | 18.01 ± 0.16 | 8.18 ± 0.03 |
| AG (n = 41) | 39.19 ± 1.03 | 73.87 ± 1.14 | 67.22 ± 0.79 | 82.36 ± 0.85 | 34.10 ± 0.42 | 19.25 ± 0.50 | 18.42 ± 0.33 | 8.13 ± 0.06 | |
| GG (n = 0) | / | / | / | / | / | / | / | / | |
| SNP2 | AA (n = 221) | 38.48 ± 0.45 | 72.83 ± 0.50 | 67.42 ± 0.34 | 82.06 ± 0.37 | 32.77 ± 0.18 | 19.41 ± 0.22 | 18.13 ± 0.15 | 8.19 ± 0.03 |
| AG (n = 12) | 35.00 ± 1.81 | 72.85 ± 2.00 | 66.11 ± 1.38 | 79.57 ± 1.49 | 32.48 ± 0.74 | 19.07 ± 0.87 | 17.43 ± 0.59 | 7.99 ± 0.11 | |
| GG (n = 0) | / | / | / | / | / | / | / | / | |
| SNP3 | CC (n = 198) | 38.63 ± 0.47 a | 73.32 ± 0.51 A | 67.81 ± 0.35 A | 82.23 ± 0.38 a | 33.80 ± 0.19 | 19.44 ± 0.22 | 18.14 ± 0.15 | 8.18 ± 0.03 |
| CT (n = 34) | 35.94 ± 1.21 b | 69.77 ± 1.32 B | 64.39 ± 0.90 B | 79.85 ± 1.00 b | 33.00 ± 0.50 | 19.14 ± 0.58 | 17.79 ± 0.39 | 8.14 ± 0.07 | |
| TT (n = 0) | / | / | / | / | / | / | / | / | |
| SNP4 | CC (n = 121) | 38.36 ± 0.60 | 72.35 ± 0.66 | 67.06 ± 0.46 | 81.73 ± 0.50 | 33.71 ± 0.24 | 19.34 ± 0.29 | 18.08 ± 0.19 | 8.18 ± 0.04 |
| CG (n = 94) | 38.13 ± 0.70 | 73.66 ± 0.76 | 67.69 ± 0.53 | 82.13 ± 0.57 | 33.83 ± 0.28 | 19.57 ± 0.33 | 18.22 ± 0.23 | 8.17 ± 0.04 | |
| GG (n = 18) | 38.38 ± 1.62 | 71.74 ± 1.76 | 67.55 ± 1.22 | 82.07 ± 1.33 | 32.87 ± 0.65 | 18.77 ± 0.77 | 17.41 ± 0.52 | 8.14 ± 0.10 |
BW = body weight; BL = body length; BH = body height; ChC = chest circumference; ChD = chest depth; ChW = chest width, HW = hip width; and CaC = cannon circumference. a,b Within a row, means with different superscript letters are significantly different (p < 0.05). A,B Within a row, means with different superscript letters are very significantly different (p < 0.01). 1 Data represent means ± SEM (n = 233).
Table 6.
Association analysis of haplotypes in SSTR1 with growth traits of Hulun Buir sheep at birth and weaning 1.
Table 6.
Association analysis of haplotypes in SSTR1 with growth traits of Hulun Buir sheep at birth and weaning 1.
| Genotypes | BRW/kg | BW/kg | BL/cm | BH/cm | ChC/cm | ChD/cm | ChW/cm | HW/cm | CaC/cm |
|---|---|---|---|---|---|---|---|---|---|
| ACC (n = 176) | 4.23 ± 0.05 | 23.13 ± 0.53 | 57.01 ± 0.57 | 56.04 ± 0.42 | 68.12 ± 0.56 | 27.97 ± 0.23 | 15.72 ± 0.16 | 12.49 ± 0.11 | 7.48 ± 0.04 |
| ACG (n = 88) | 4.25 ± 0.07 | 23.74 ± 0.75 | 57.93 ± 0.80 | 56.33 ± 0.60 | 68.88 ± 0.79 | 28.21 ± 0.33 | 15.86 ± 0.23 | 12.50 ± 0.16 | 7.50 ± 0.06 |
| ATC (n = 25) | 4.13 ± 0.14 | 20.48 ± 1.40 | 55.02 ± 1.50 | 54.30 ± 1.12 | 65.22 ± 1.49 | 27.74 ± 0.62 | 14.54 ± 0.77 | 12.06 ± 0.29 | 7.30 ± 0.11 |
| ATG (n = 8) | 4.30 ± 0.25 | 23.16 ± 2.47 | 58.81 ± 2.65 | 55.69 ± 1.98 | 67.19 ± 3.68 | 28.38 ± 1.10 | 14.94 ± 0.77 | 12.00 ± 0.51 | 7.50 ± 0.20 |
| GCC (n = 36) | 4.25 ± 0.12 | 23.17 ± 1.17 | 57.60 ± 1.25 | 56.39 ± 0.93 | 68.33 ± 1.24 | 28.46 ± 0.52 | 15.44 ± 0.36 | 12.26 ± 0.24 | 7.45 ± 0.10 |
| GCG (n = 11) | 4.22 ± 0.21 | 26.10 ± 2.11 | 60.96 ± 2.26 | 58.73 ± 1.69 | 72.00 ± 2.24 | 29.23 ± 0.94 | 16.36 ± 0.65 | 12.55 ± 0.44 | 7.62 ± 0.17 |
| GTC (n = 3) | 4.06 ± 0.40 | 17.40 ± 4.04 | 51.83 ± 4.33 | 52.33 ± 3.24 | 64.83 ± 4.29 | 27.17 ± 1.79 | 15.17 ± 1.25 | 12.50 ± 0.84 | 7.00 ± 0.33 |
| p | 0.987 | 0.223 | 0.258 | 0.357 | 0.211 | 0.805 | 0.123 | 0.753 | 0.512 |
BRW = birth weight; BW = body weight; BL = body length; BH = body height; ChC = chest circumference; ChD = chest depth; ChW = chest width, HW = hip width; CaC = cannon circumference. 1 Data represent means ± SEM (n = 233).
Table 7.
Association analysis of haplotypes in SSTR1 with growth traits of Hulun Buir sheep at 9 months of age 1.
Table 7.
Association analysis of haplotypes in SSTR1 with growth traits of Hulun Buir sheep at 9 months of age 1.
| Genotypes | BW/kg | BL/cm | BH/cm | ChC/cm | ChD/cm | ChW/cm | HW/cm | CaC/cm |
|---|---|---|---|---|---|---|---|---|
| ACC (n = 176) | 31.98 ± 0.57 | 66.58 ± 0.39 | 63.66 ± 0.33 | 82.90 ± 0.63 | 32.48 ± 0.23 | 21.45 ± 0.20 | 14.56 ± 0.12 | 7.53 ± 0.05 |
| ACG (n = 88) | 32.60 ± 0.81 | 67.10 ± 0.55 | 64.42 ± 0.47 | 84.07 ± 0.89 | 32.98 ± 0.32 | 22.10 ± 0.28 | 14.66 ± 0.16 | 7.56 ± 0.06 |
| ATC (n = 25) | 29.92 ± 1.51 | 64.54 ± 1.02 | 62.20 ± 0.88 | 80.88 ± 1.67 | 31.65 ± 0.59 | 20.96 ± 0.53 | 14.23 ± 0.31 | 7.48 ± 0.12 |
| ATG (n = 8) | 32.16 ± 2.67 | 66.63 ± 1.81 | 64.00 ± 1.56 | 83.94 ± 2.95 | 32.50 ± 1.07 | 21.13 ± 0.94 | 14.81 ± 0.55 | 7.25 ± 0.21 |
| GCC (n = 36) | 32.12 ± 1.26 | 67.57 ± 0.85 | 63.85 ± 0.74 | 84.40 ± 1.39 | 32.75 ± 0.51 | 22.25 ± 0.44 | 14.33 ± 0.26 | 7.67 ± 0.10 |
| GCG (n = 11) | 34.70 ± 2.28 | 69.86 ± 1.54 | 65.55 ± 1.33 | 87.96 ± 2.52 | 34.41 ± 0.91 | 22.82 ± 0.80 | 14.73 ± 0.47 | 7.64 ± 0.28 |
| GTC (n = 3) | 26.67 ± 4.36 | 64.00 ± 2.95 | 63.00 ± 2.55 | 76.33 ± 4.82 | 31.00 ± 1.75 | 22.00 ± 1.53 | 13.00 ± 0.90 | 7.50 ± 0.35 |
| p | 0.502 | 0.087 | 0.325 | 0.154 | 0.225 | 0.152 | 0.416 | 0.585 |
BW = body weight; BL = body length; BH = body height; ChC = chest circumference; ChD = chest depth; ChW = chest width, HW = hip width; CaC = cannon circumference. 1 Data represent means ± SEM (n = 234).
Table 8.
Association analysis of haplotypes in SSTR1 with growth traits of Hulun Buir sheep at 16 months of age 1.
Table 8.
Association analysis of haplotypes in SSTR1 with growth traits of Hulun Buir sheep at 16 months of age 1.
| Genotypes | BW/kg | BL/cm | BH/cm | ChD/cm | HW/cm | CaC/cm |
|---|---|---|---|---|---|---|
| ACC (n = 176) | 38.21 ± 0.46 | 72.44 ± 0.60 | 67.34 ± 0.34 | 33.97 ± 0.34 | 18.10 ± 0.16 | 8.23 ± 0.06 |
| ACG (n = 88) | 38.13 ± 0.64 | 73.24 ± 0.84 | 66.64 ± 0.49 | 33.53 ± 0.47 | 18.06 ± 0.22 | 8.16 ± 0.09 |
| ATC (n = 25) | 35.73 ± 1.19 | 69.19 ± 1.57 | 64.12 ± 0.90 | 32.92 ± 0.88 | 17.67 ± 0.41 | 8.14 ± 0.16 |
| ATG (n = 8) | 36.26 ± 2.15 | 70.38 ± 2.82 | 65.63 ± 1.63 | 33.38 ± 1.59 | 17.69 ± 0.73 | 8.13 ± 0.29 |
| GCC (n = 36) | 39.09 ± 1.01 | 72.01 ± 1.33 | 67.11 ± 0.77 | 35.25 ± 0.75 | 18.04 ± 0.35 | 8.38 ± 0.14 |
| GCG (n = 11) | 39.69 ± 1.84 | 75.09 ± 2.41 | 68.09 ± 1.39 | 34.18 ± 1.35 | 18.27 ± 0.63 | 8.18 ± 0.25 |
| GTC (n = 3) | 35.73 ± 3.51 | 74.00 ± 4.61 | 64.67 ± 2.65 | 33.33 ± 2.59 | 18.67 ± 1.20 | 8.00 ± 0.48 |
| p | 0.291 | 0.312 | 0.395 | 0.498 | 0.970 | 0.869 |
BW = body weight; BL = body length; BH = body height; ChD = chest depth; HW = hip width; and CaC = cannon circumference. 1 Data represent means ± SEM (n = 234).
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Li, X.; Ding, N.; Zhang, Z.; Tian, D.; Han, B.; Liu, S.; Liu, D.; Tian, F.; Zhao, K. Identification of Somatostatin Receptor Subtype 1 (SSTR1) Gene Polymorphism and Their Association with Growth Traits in Hulun Buir Sheep. Genes 2022, 13, 77. https://doi.org/10.3390/genes13010077
AMA Style
Li X, Ding N, Zhang Z, Tian D, Han B, Liu S, Liu D, Tian F, Zhao K. Identification of Somatostatin Receptor Subtype 1 (SSTR1) Gene Polymorphism and Their Association with Growth Traits in Hulun Buir Sheep. Genes. 2022; 13(1):77. https://doi.org/10.3390/genes13010077
Chicago/Turabian StyleLi, Xue, Ning Ding, Zhichao Zhang, Dehong Tian, Buying Han, Sijia Liu, Dehui Liu, Fei Tian, and Kai Zhao. 2022. "Identification of Somatostatin Receptor Subtype 1 (SSTR1) Gene Polymorphism and Their Association with Growth Traits in Hulun Buir Sheep" Genes 13, no. 1: 77. https://doi.org/10.3390/genes13010077
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