Transcriptome sequencing analysis of the role of miR-499-5p and SOX6 in chicken skeletal myofiber specification.

MicroRNAs (miRNAs) might play critical roles in skeletal myofiber specification. In a previous study, we found that chicken miR-499-5p is specifically expressed in slow-twitch muscle and that its potential target gene is SOX6. In this study, we performed RNA sequencing to investigate the effects of SOX6 and miR-499-5p on the modulation and regulation of chicken muscle fiber type and its regulatory mechanism. The expression levels of miR-499-5p and SOX6 demonstrated opposing trends in different skeletal muscles and were associated with muscle fiber type composition. Differential expression analysis revealed that miR-499-5p overexpression led to significant changes in the expression of 297 genes in chicken primary myoblasts (CPMs). Myofiber type-related genes, including MYH7B and CSRP3, showed expression patterns similar to those in slow-twitch muscle. According to functional enrichment analysis, differentially expressed genes were mostly associated with muscle development and muscle fiber-related processes. SOX6 was identified as the target gene of miR-499-5p in CPM using target gene mining and luciferase reporter assays. SOX6 knockdown resulted in upregulation of the slow myosin genes and downregulation of fast myosin genes. Furthermore, protein-protein interaction network analysis revealed that MYH7B and RUNX2 may be the direct targets of SOX6. These results indicated that chicken miR-499-5p may promote slow-twitch muscle fiber formation by repressing SOX6 expression. Our study provides a dataset that can be used as a reference for animal meat quality and human muscle disease studies.

A gene co-expression network analysis of the candidate genes and molecular pathways associated with feather follicle traits of chicken skin.

Back and thigh skin of chickens showed significant differences in the thickness and the feather follicle density and size, which are important traits for slaughtered chickens' appearance. In the present study, global gene expression profiling was conducted in the back and thigh skin of chickens using Microarray technology. The results showed that 676 genes were differentially expressed between back and thigh skin. The expression of the differentially expressed genes (DEGs), including PPP1R3C, IGF1, PTCHD1, HOXB6, FGF9, CAMK4, SHH, BMP8B, FOXN1 and PTGER2, was validated by real-time quantitative polymerase chain reaction (RT-qPCR), and the results were consistent with microarray results. Functional analysis revealed that the DEGs were significantly involved in cell proliferation, differentiation, apoptosis, adhesion and transport process, and the pathways were significantly mapped into the ECM-receptor interaction, peroxisome, focal adhesion, Hedgehog and PPAR signalling pathways. Protein-protein interaction network analysis suggested that signalling pathways related to feathers morphogenesis and development, such as Wnt, FGF, MAPK, SHH and BMP signalling pathways, occupied important positions in the network. Genes involved in these signalling pathways and adhesion molecules might play a vital role in skin and feather follicle development. Further single nucleotide polymorphism (SNP) association analysis of Wnt3A showed that the AC genotype of SNP g.255361 C>A significantly increased the feather follicle density of thigh skin. Our findings may provide new insights on candidate genes and pathways related to skin and feather follicle formation of chickens.

Analysis of the genetic effects of prolactin gene polymorphisms on chicken egg production.

Chicken prolactin (PRL) is a physiological candidate gene for egg production. Variations of T8052C and G8113C in exon 5 of PRL gene may associate with chicken egg production. The objective of the study was to investigate the association of these two single nucleotide polymorphisms in PRL gene with egg production of Recessive White chickens and Qingyuan Partridge chickens. Genotyping was performed by polymerase chain reaction-ligase detection reaction (PCR-LDR) method. The T8052C and G8113C of PRL were significantly associated with age at first egg (AFE) and total egg number at 300 days of age (EN 300). A significant association was also found between T8052C-G8113C haplotypes and AFE as well as EN300, the H2H3 was the most advantageous diplotype for egg production. We putatively drew the conclusion that these two SNPs in PRL gene as well as their haplotypes could be used as the potential molecular markers for egg production traits in chicken.

Origin and genetic diversity of Chinese domestic ducks.

China is particularly rich in duck genetic resources. In order to reveal the genetic diversity and origin of Chinese domestic duck, the 667 bp control region of mitochondrial DNA of 238 domestic ducks from 26 indigenous breeds, 25 wild mallards and nine spot-billed ducks were sequenced and analyzed them together with the published data for 12 mallards and nine spot-billed ducks. The haplotype diversity (Hd, 0.645) and average nucleotide diversity (Pi, 0.115%) indicate low genetic diversity of Chinese domestic ducks. The NJ phylogenetic tree and reduced median-joining network chart were constructed using a total of 72 haplotypes. The genetic contribution of mallard (Anas platyrhynchos) can be detected in most of Chinese indigenous duck breeds and that of spot-billed duck (Anas zonorhyncha) can also be detected in few Chinese indigenous duck breeds. The results indicated that the Chinese domestic ducks mainly derived from mallard (A. platyrhynchos) and few derived from spot-billed duck (A. zonorhyncha).

[Polymorphic analysis of intron 2 and 3 of growth hormone gene in duck].

The single nucleotide polymorphism (SNP) of growth hormone gene was investigated in various breeds of duck, including Beijing ducks, Xihu mallards, Jinding ducks, Shan Partridge ducks, Jingjiang ducks and Shaoxing ducks. The primers for intron 2 and 3 in GH gene were designed based on the database of duck genomic sequence and the SNPs were detected by PCR-SSCP method. Eight SNPs were found among individuals within a breed, which were 2593(C-T), 2770(G-A), 2813(T-A), 2829(C-A), 2894(C-T), 2896(T-C), and 3100(C-G) in intron 2 and 3270(A-G) in intron 3. The analytic results showed that the frequencies of genotypes in different breeds were significantly different. Based on these SNPs, Beijing ducks and Shaoxing ducks represented their own unique conservativeness, indicating that these SNPs may have relationship with some productive traits of duck.

[Genetic diversity of red jungle fowl in China (Gallus gallus spadiceus) and red jungle fowl (Gallus gallus gallus) in Thailand].

Genetic diversity of red jungle fowl in China (Gallus gallus spadiceus) and red jungle fowl in Thailand (Gallus gallus gallus) was evaluated with 29 microstaellite loci, the genetic variability within subspecies and genetic differentiation between subspecies were estimated. The results showed that the 168 alleles were amplified with the number of alleles per locus from 2 to 13. The average expected heterozygosity and polymorphism information content (PIC) of all loci were 0.5780 and 0.53, respectively. The mean numbers of effective alleles of red jungle fowl in China and red jungle fowl in Thailand were 5.55 and 6.38. The heterozygosity and the genetic diversity of the two subspecies were high. Genetic differentiation index (FST) of these populations was 0.194 (P<0.01). Reynolds' genetic distance and gene flow between the two populations were 0.157 and 1.040, respectively. Based on these results, genetic structure and significant genetic differentiation of red jungle fowl in China were different from red jungle fowl in Thailand. The results of this study did not support to identify these red jungle fowl subspecies as the same subspecies, but supported the theory that Chinese domestic fowls have independent origin.

[Correlation between adenylosuccinate lyase (ADSL) gene polymorphism and inosine monophosphate acid (IMP) content in domestic fowl and genetic relationship between red jungle fowl and domestic fowl].

This study investigates single nucleotide polymorphism (SNP) of the adenylosuccinate lyase(ADSL) gene in variety chicken breeds, including Recessive White chickens, Silkies chickens, Baier chickens, Tibetan chickens and two red jungle fowls. Primers for exon 2 in ADSL gene were designed based on the chicken genomic sequence and a SNP(C/T at 3484) was detected by PCR-SSCP and DNA sequencing. Three genotypes within all breeds were found and least square analysis showed that TT genotype birds had a significant higher inosine monophosphate acid (IMP) content than TC (P < 0.01) and CC (P < 0.05) genotype birds, TC genotype birds had a little higher IMP content than CC genotype birds, but the difference was not significant. We proposed this SNP site correlated with IMP content in chickens. A neighbour-joining dendrogram was constructed based on the Nei's genentic distance. The genetic relationship between Chinese red jungle fowl and Tibetan chickens was the nearest, whereas Baier chickens were more closer to Silkies chickens. The Chinese red jungle fowls were relatively closer to the domestic fowls, whereas Thailand red jungle fowls were relatively diverging to the Chinese native breeds. These results supported the theory concerning the independent origins of Chinese native fowl breeds.

[Screening of peafowl microsatellite primers and analysis of genetic diversity].

The applicability of chicken microsatellite primers to peafowl population was analyzed in the present paper, and the results showed 14 of 29 pairs of microsatellite primers from chicken could amplify peafowl DNA and produce specific allele patterns. A mean of 1.71 alleles was found for each locus. Seven pairs were highly polymorphic, and MCW0080 and MCW0098 were ideal markers for peafowl. Genetic diversity analysis within and between the green peafowl and the blue peafowl populations demonstrated that the expected heterozygosity of two peafowl populations were 0.2482 and 0.2744, respectively. The inbreeding index (FST), Reynolds' genetic distance and gene flow between the two populations were 0.078, 0.0603 and 3.896 respectively. These results indicate that the heterozygosity and the genetic diversity of these two peafowl populations were very low, and suggest a tendency towards intermixing.