MicroRNAs-1614-3p gene seed region polymorphisms and association analysis with chicken production traits

In the present study, a total of 860 chickens from a Gushi–Anka F₂ resource population were used to evaluate the genetic effect of the gga-miR-1614-3p gene. A novel, silent, single nucleotide polymorphism (SNP, +5 C>T) was detected in the gga-miR-1614-3p gene seed region through AvaII polymerase chain reaction–restriction fragment length polymorphism (PCR-RFLP) and PCR products sequencing methods. Associations between the SNP and chicken growth, meat quality and carcass traits were performed by association analysis. The results showed that the SNP was significantly associated with breast muscle shear force and leg muscle water loss rate, wing weight, liver weight and heart weight (p?<?0.05), and highly significantly associated with the weight of the abdominal fat (p?<?0.01). The secondary structure of gga-miR-1614 and the free energy were altered due to the variation predicted by the M-fold program.     

Novel SNPs in the <Emphasis Type="Italic">PRDM16</Emphasis> gene and their associations with performance traits in chickens

The PR domain containing 16 (PRDM16) is a member of the Prdm family, and is known to regulate cell differentiation. In the present study, DNA pool sequencing methods were employed to screen genetic variations in the chicken PRDM16 gene. The results revealed four novel single nucleotide polymorphisms (SNPs): NC_006108.2: g.92188G>A, XM_417551: c.1161C>T (Ala/Ala, 387aa), c.1233C>T (Ser/Ser, 411aa) and c.1433G>A (Ser/Asn, 478aa). The BglI polymerase chain reaction–restriction fragment length polymorphism (PCR-RFLP) was used to detect c.1161C>T, while HhaI Forced PCR-RFLP methods were used to detect 1233C>T and c.1433G>A in 964 chickens. The chickens comprised 38 grandparents, 66 F₁ parents and 860 F₂ birds derived from an F₂ resource population of Gushi chickens crossed with Anka broilers. The associations of the polymorphisms in the chicken PRDM16 gene with performance traits were analyzed in the 860 F₂ chickens. The results indicated that the three SNPs were significantly associated with growth, fatness and meat quality traits in the chickens. In particular, the polymorphisms of the missense SNP (c.1433G>A) had positive effects on chicken body weight and body size at different stages. It affected also fatness traits significantly. Comparison of the different genotypes of c.1433G>A showed that the GG genotype favored chicken growth and fatness traits.     

Polymorphisms of Flanking Region of the ASB15 Gene and Their Associations with Performance Traits in Chicken

Research on the identity of genes and their relationship with traits of economic importance in chickens could assist in the selection of poultry. In this study, an F₂ resource population of Gushi chickens crossed with Anka broilers was used to detect single-nucleotide polymorphisms (SNPs) in the flanking region of the ASB15 gene by DNA sequencing and polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). One SNP of ?1271 C>T in 5′ flanking region of the chicken ASB15 gene and two SNPs of the 10618 A>G and 10716 G>A in 3′ flanking region were identified. Furthermore, the 10618 A>G and 10716 G>A in 3′ flanking region were in complete linkage. Association analysis results showed that ?1271 C>T was not associated with performance traits, while the 10618 A>G and 10716 G>A were significantly associated with BW2, 4, 6, 8, 10, 12, SL12, CD8, CW4, 8, 12, BSL4, 8, 12, and SEW, EW, WW, BMW, LW, CW, SFT. Our results suggest that the ASB15 gene profoundly affects chicken performance traits.     

Cloning of TPO gene and associations of polymorphisms with chicken growth and carcass traits

Thyroid peroxidase (TPO), which located on the apical membrane surface of thyrocytes, is the key enzyme involved in thyroid hormone synthesis, mainly catalyses the iodination of tyrosine residues and the coupling of iodotyrosines on thyroglobulin to form thyroxine and triiodothyronine. The objectives of this study were to identify genetic polymorphisms of the chicken TPO gene and to analyze potential association between single nucleotide polymorphisms (SNPs) and growth and carcass traits in chicken. Partial sequences of TPO gene were cloned firstly. The nucleotide sequence was found to have 72 % identity with that of humans. The chicken TPO amino acid sequence was 71 %. Through polymerase chain reaction-restriction fragment length polymorphism and DNA sequencing methods, three novel mutations of the chicken TPO gene were detected in the F₂ resource population from Gushi chickens and Anka broilers. The association analysis indicated that all of the three SNPs showed association with chicken growth at different periods. The g.29996C>T polymorphisms was significantly associated with body weight, breast bone length, pectoral angle at 12 weeks, claw weight and leg muscle weight (P < 0.05). In addition, individuals with the TT genotype had higher value for almost all the traits than CC and CT genotype. Meanwhile for CLW, the additive effects were significant (P < 0.05). Hence, we suggest that genotype TT can be regarded as a potential molecular marker for later growth and carcass traits in chicken.     

Polymorphisms of the interleukin-15 gene and their associations with fatness and muscle fiber traits in chickens

Interleukin-15 (IL-15) is a cytokine that has been proposed to modulate skeletal muscle and adipose tissue mass. In the present study, an F₂ resource population of Gushi chickens crossed with Anka broilers was used to investigate the genetic effects of the chicken IL-15 gene. Two single nucleotide polymorphisms (SNPs) (g.31224G>A and g.31266T>G) were identified in exon 5 of the IL-15 gene by means of polymerase chain reaction?Crestriction fragment length polymorphism (PCR-RFLP) and DNA sequencing. Associations between the two SNPs and chicken fatness and muscle fiber traits were determined using linkage disequilibrium, haplotype construction, and association analysis. Both of the SNPs were associated with abdominal fat weight, leg muscle fiber diameter, and leg muscle fiber density (p?<?0.05). Haplotypes of the two linked SNPs were associated with abdominal fat weight, fat thickness under the skin, and leg muscle fiber diameter (p?<?0.05). The results suggested that the IL-15 gene might be associated with the causative mutation or the quantitative trait locus (QTL) controlling the fatness traits and muscle fiber traits in chickens.     

Caecal microbiota could effectively increase chicken growth performance by regulating fat metabolism

It has been established that gut microbiota influences chicken growth performance and fat metabolism. However, whether gut microbiota affects chicken growth performance by regulating fat metabolism remains unclear. Therefore, seven-week-old chickens with high or low body weight were used in the present study. There were significant differences in body weight, breast and leg muscle indices, and cross-sectional area of muscle cells, suggesting different growth performance. The relative abundance of gut microbiota in the caecal contents at the genus level was compared by 16S rRNA gene sequencing. The results of LEfSe indicated that high body weight chickens contained Microbacterium and Sphingomonas more abundantly (P < 0.05). In contrast, low body weight chickens contained Slackia more abundantly (P < 0.05). The results of H & E, qPCR, IHC, WB and blood analysis suggested significantly different fat metabolism level in serum, liver, abdominal adipose, breast and leg muscles between high and low body weight chickens. Spearman correlation analysis revealed that fat metabolism positively correlated with the relative abundance of Microbacterium and Sphingomonas while negatively correlated with the abundance of Slackia. Furthermore, faecal microbiota transplantation was performed, which verified that transferring faecal microbiota from adult chickens with high body weight into one-day-old chickens improved growth performance and fat metabolism in liver by remodelling the gut microbiota. Overall, these results suggested that gut microbiota could affect chicken growth performance by regulating fat metabolism.     

A novel single-nucleotide polymorphism of thevisfatin gene and its associations with performance traits in the chicken

Visfatin is a peptide that is predominantly expressed in visceral adipose tissue and is hypothesized to be related to obesity and insulin resistance. In this study, a novel silent single-nucleotide polymorphism (SNP) was found in exon 7 of the chickenvisfatin gene (also known asPBEF1) by single-stranded conformation polymorphism (SSCP) and DNA sequencing. In total, 836 chickens forming an F₂ resource population of Gushi chicken crossed with Anka broiler were genotyped by XbaI forced RFLP, and the associations of this polymorphism with chicken growth, carcass characteristics, and meat quality were analyzed. Significant associations were found between the polymorphism and 4-week body weight (BW4), 6-week body weight (BW6), 4-week body slanting length (BSL4), fat bandwidth (FBW), breast muscle water loss rate (BWLR) and breast muscle fiber density (BFD) (P < 0.05), as well as 4-week breastbone length (BBL4) (P < 0.01). These observations suggested that the polymorphism in exon7 of thevisfatin gene had significant effects on the early growth traits of chicken.     

Identification and association of novel lncRNA <Emphasis Type="BoldItalic">pouMU1</Emphasis> gene mutations with chicken performance traits

The biological functions of long noncoding RNAs (lncRNAs), which play an important role in regulating development and gene expression, may be affected by variations in lncRNA gene loci or associated genomic sequences. However, the functions of many lncRNAs remain unknown. To analyse correlations between mutations in pouMU1 with chicken growth and carcass traits, 860 chickens from a Gushi \(\times \) Anka F2 resource population and 96 Lushi, Xichuan, Changshun and recessive white chickens were used to evaluate the genetic effect of the pouMU1 gene. We performed quantitative real-time polymerase chain reaction (qRT-PCR) to analyse the relative expression levels of pouMU1 in nine different tissues and stages of development. pouMU1 expression was highest in pectoralis and leg muscles, whereas no expression was observed in the heart, liver and abdominal fat. Using direct sequencing and polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) methods, two novel sequence mutations (g.1198A>G and g.1238-1239del/insGA) were detected in the pouMU1 gene. SPSS software was used for statistical analysis in association studies. Based on the association data, the presence of both variants was significantly associated with leg muscle fibre width and leg muscle fibre roundness (\(P < 0.05\)) and highly associated with leg muscle fibre girth and body weight at 0 week of age (\(P < 0.01\)). These data suggest that pouMU1 might participate in regulating chicken muscle development and growth, and the findings offer new insight into the functions of sequence mutations in lncRNAs.     

Genome‐wide copy number profiling using high‐density SNP array in chickens

Phenotypic diversity is a direct consequence resulting mainly from the impact of underlying genetic variation, and recent studies have shown that copy number variation (CNV) is emerging as an important contributor to both phenotypic variability and disease susceptibility. Herein, we performed a genome‐wide CNV scan in 96 chickens from 12 diversified breeds, benefiting from the high‐density Affymetrix 600 K SNP arrays. We identified a total of 231 autosomal CNV regions (CNVRs) encompassing 5.41 Mb of the chicken genome and corresponding to 0.59% of the autosomal sequence. The length of these CNVRs ranged from 2.6 to 586.2 kb with an average of 23.4 kb, including 130 gain, 93 loss and eight both gain and loss events. These CNVRs, especially deletions, had lower GC content and were located particularly in gene deserts. In particular, 102 CNVRs harbored 128 chicken genes, most of which were enriched in immune responses. We obtained 221 autosomal CNVRs after converting probe coordinates to Galgal3, and comparative analysis with previous studies illustrated that 153 of these CNVRs were regarded as novel events. Furthermore, qPCR assays were designed for 11 novel CNVRs, and eight (72.73%) were validated successfully. In this study, we demonstrated that the high‐density 600 K SNP array can capture CNVs with higher efficiency and accuracy and highlighted the necessity of integrating multiple technologies and algorithms. Our findings provide a pioneering exploration of chicken CNVs based on a high‐density SNP array, which contributes to a more comprehensive understanding of genetic variation in the chicken genome and is beneficial to unearthing potential CNVs underlying important traits of chickens.     

The effect of feed restriction on expression of hepatic lipogenic genes in broiler chickens and the function of SREBP1

To study the role of sterol regulatory element-binding proteins (SREBP) in lipogenesis and cholesterol synthesis in the chicken, two experiments were carried out. In the first study, seven-week-old broilers (n = 16) were allocated into 2 groups, fasted for 24 h or refed for 5 h after a 24 h fasting. The mRNA concentrations for SREBPs and other lipogenic genes in the liver were determined by quantitative real time PCR. The hepatic mRNA relative abundance of lipogenic genes and genes involved in cholesterol synthesis were significantly greater (p < 0.001) in the refed broilers. Similar results were demonstrated with Northern analysis. The data suggest that in the liver of fasted broilers, genes associated with lipogenesis and cholesterol biosynthesis were inhibited. Indeed, the mRNA concentrations for fatty acid synthase (FAS), malic enzyme, and stearoyl coenzyme A desaturase were almost undetectable after the 24 h fasting. The data also demonstrated that the expression of lipogenic genes coordinate well as a group during the refeeding period. Second, three small interfering RNA (siRNA) oligonucleotides against SREBP1 were designed to be used in transfecting a chicken hepatocarcinoma cell line LMH. One of the three siRNAs effectively reduced SREBP1 mRNA concentration (p < 0.01). The acetyl coenzyme A carboxylase_α (ACC_α) mRNA was also significantly reduced by the SREBP1 siRNA treatment, suggesting that SREBP1 can upregulate the expression of this lipogenic gene. This siRNA, however, did not affect the mRNA for FAS. Taken together, the RNA interference study showed that SREBP1 has the ability to regulate the expression of ACC_α. This study has helped us understand more about the function of SREBP1 and the physiology of the broiler chickens.     

Differences of Z chromosome and genomic expression between early- and late-feathering chickens

One duplicated segment on chicken Z chromosome is a causal mutation to the late-feathering phenotype. However, understanding biological process of the late-feathering formation is also of interest to chicken breeding and feather development theory. One hundred and thirty-seven valid single nucleotide polymorphisms (SNPs) from an SNP database were used to perform an association study of the Z chromosome in Xinghua chickens. Two SNPs, which were respectively on 9607480 bp and 10607757 bp, were significantly associated with feathering phenotypes. This result indicated the causal mutation of the late-feathering formation in Xinghua chickens was consistent with the previous report which showed the late-feathering locus ranged 9966364–10142688 bp on Z chromosome. Microarray expressions were implemented for six 1-day-old female Xinghua chicks. Compared to the early-feathering chicks, there were 249 and 83 upregulated and downregulated known genes in the late-feathering chicks. Forty-one genes were expressed in late-feathering chicks, but not in early-feathering ones. At least 14 significantly differentially expressed genes were directly related to keratin. In the region of the sex-linked feathering gene, only prolactin receptor (PRLR) gene was a significantly differentially expressed gene. Expression of PRLR in late-feathering chicks was 1.78-fold as that in early-feathering chicks. Late-feathering Wenchang chicks also had higher expression level of PRLR than early-feathering ones. This study suggested that increasing PRLR expression that resulted from the special variant on chicken Z chromosome caused the late-feathering phenotype.     

Associations of <Emphasis Type="Italic">GHSR</Emphasis> gene polymorphisms with chicken growth and carcass traits

Ghrelin receptor (GHSR), or growth hormone secretagogue receptor, modulates many physiological effects by binding to its ligand and therefore is a candidate gene for chicken production performance. In this study, five polymorphisms (four SNP and a ‘GGTACA’ indel) of GHSR gene were genotyped in a F₂ full sib chicken population to investigate their associations with production traits. Results showed that c.739 + 726T > C (M2) was significantly associated with body weight (BW) at 28 days (BW28), BW90, dressed weight, eviscerated weight, eviscerated weight with giblet, breast muscle weight and leg muscle weight (P < 0.05). Meanwhile, T allele rather than C was positive for chicken body weight gain as individuals with CC had the lowest value of all traits. Otherwise, no significant association of c.264G > A (M1), c.3211-196_3211-181delGGTACA (M3), c.3211 + 75C > T (M4), and c.3211 + 150C > T (M5) with any growth and carcass traits was found. Haplotypes based on five polymorphisms were significantly associated with hatch weight, BW7, BW14, BW21 and breast angle (P < 0.05), as well as BW28 (P < 0.01). Therefore, it was concluded that M2 of the GHSR gene and the analyzed haplotypes were associated with some chicken growth and carcass traits.     

A genome‐wide SNP scan reveals two loci associated with the chicken resistance to Marek's disease

Marek's disease (MD) is a neoplastic disease in chickens, caused by the Marek's disease virus (MDV). To investigate host genetic resistance to MD, we conducted a genome‐wide association study (GWAS) on 67 MDV‐infected chickens based on a case and control design, including 57 susceptible chickens in the case group and 10 resistant chickens as controls. After searching 38 655 valid genomic markers, two SNPs were found to be associated with host resistance to MD. One SNP, rs14527240, reaching chromosome‐wide significance level (P < 0.01) was located in the SPARC‐related modular calcium‐binding 1 (SMOC1) gene on GGA5. The other one, GGaluGA156129, reaching genome‐wide significance (P < 0.05), was located in the protein tyrosine phosphatase, non‐receptor type 3 (PTPN3) gene on GGA2. In addition, expression patterns of these two genes in spleens were detected by qPCR. The expression of SMOC1 was significantly up‐regulated (P < 0.05), whereas the expression of PTNP3 did not show significance when the case group was compared with the control group. Up‐regulation of SMOC1 in susceptible spleens suggests its important roles in MD tumorigenesis. This is the first study to investigate MD‐resistant loci, and it demonstrates the power of GWASs for mapping genes associated with MD resistance.     

Stable reference genes for expression studies in breast muscle of normal and white striping-affected chickens

The normalization with proper reference genes is a crucial step to obtain accurate mRNA expression levels in quantitative PCR (qPCR) studies. Therefore, in this study, 10 reference candidate genes were evaluated to determine their stability in normal pectoralis major muscle of broilers and those counterparts affected with White Striping (WS) myopathy at 42 days age. Four different tools were used for ranking the most stable genes: GeNorm, NormFinder, BestKeeper and Comparative Ct (ΔCt), and a general ranking was performed using the RankAggreg tool to select the best reference genes among all tools. From the 10 genes evaluated in the breast muscle of broilers, 8 were amplified. Most of the algorithms/tools indicated the same two genes, RPL30 and RPL5, as the most stable in the broilers breast muscle. In addition, there was agreement among the tools for the least stable genes: MRPS27, GAPDH and RPLP1 in the broilers breast muscle. Therefore, it is interesting to note that even with different tools for evaluating gene expression, there was consensus on the most and least stable genes. These results indicate that the Ribosomal protein L30 (RPL30) and Ribosomal protein L5 (RPL5) can be recommended for accurate normalization in qPCR studies with chicken pectoralis major muscle affected with White Striping and other myopathies.

     

Single nucleotide polymorphisms in chicken <Emphasis Type="Italic">lmbr1</Emphasis> gene were associated with chicken growth and carcass traits

Lmbr1 is the key candidate gene controlling vertebrate limb development, but its effects on animal growth and carcass traits have never been reported. In this experiment, lmbr1 was taken as the candidate gene affecting chicken growth and carcass traits. T/C and G/A mutations located in exon 16 and one A/C mutation located in intron 5 of chicken lmbr1 were detected from Silky, White Plymouth Rock broilers and their F₂ crossing chickens by PCR-SSCP and sequencing methods. The analysis of variance (ANOVA) results suggests that T/C polymorphism of exon 16 had significant association with eviscerated yield rate (EYR), gizzard rate (GR), shank and claw rate (SCR) and shank girth (SG); A/C polymorphism of intron 5 was significantly associated with SCR, liver rate and head-neck weight (HNW), while both sites had no significant association with other growth and carcass traits. These results demonstrate that lmbr1 gene could be a genetic locus or linked to a major gene significantly affecting these growth and carcass traits in chicken.