Abstract

BackgroundSince the domestication of chicken, various breeds have been developed for food production, entertainment, and so on. Compared to indigenous chicken breeds which generally do not show elite production performance, commercial breeds or lines are selected intensely for meat or egg production. In the present study, in order to understand the molecular mechanisms underlying the dramatic differences of egg number between commercial egg-type chickens and indigenous chickens, we performed a genome-wide association study (GWAS) in a mixed linear model.ResultsWe obtained 148 single nucleotide polymorphisms (SNPs) associated with egg number traits (57 significantly, 91 suggestively). Among them, 4 SNPs overlapped with previously reported quantitative trait loci (QTL), including 2 for egg production and 2 for reproductive traits. Furthermore, we identified 32 candidate genes based on the function of the screened genes. These genes were found to be mainly involved in regulating hormones, playing a role in the formation, growth, and development of follicles, and in the development of the reproductive system. Some genes such as NELL2 (neural EGFL like 2), KITLG (KIT ligand), GHRHR (Growth hormone releasing hormone receptor), NCOA1 (Nuclear receptor coactivator 1), ITPR1 (inositol 1, 4, 5-trisphosphate receptor type 1), GAMT (guanidinoacetate N-methyltransferase), and CAMK4 (calcium/calmodulin-dependent protein kinase IV) deserve our attention and further study since they have been reported to be closely related to egg production, egg number and reproductive traits. In addition, the most significant genomic region obtained in this study was located at 48.61–48.84 Mb on GGA5. In this region, we have repeatedly identified four genes, in which YY1 (YY1 transcription factor) and WDR25 (WD repeat domain 25) have been shown to be related to oocytes and reproductive tissues, respectively, which implies that this region may be a candidate region underlying egg number traits.ConclusionOur study utilized the genomic information from various chicken breeds or populations differed in the average annual egg number to understand the molecular genetic mechanisms involved in egg number traits. We identified a series of SNPs, candidate genes, or genomic regions that associated with egg number, which could help us in developing the egg production trait in chickens.

Highlights

  • Since the domestication of chicken, various breeds have been developed for food production, entertainment, and so on

  • We found a Tibetan chicken was mixed with White Leghorn, as shown by the red circle in Fig. 1 and

  • In genome-wide association study (GWAS), population stratification might lead to false-positive results

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Summary

Results

Population structure testing Principal component analysis (PCA) using the first two principal components showed that there was an obvious stratification phenomenon between Chinese indigenous chicken breeds (black circle) and commercial egg-type chickens. When K = 6–9, the high productivity layers from four populations (WL_CAU, WL_YQ, RIR, DW) were separated, indicating that the genetic backgrounds of these layers were different (Additional file 4: Figure S1). Using Ensembl to annotate related SNPs, we found a total of 68 genes around significant peaks, and identified 32 candidate genes associated with egg number according to their functions (Table 2) Some genes such as NELL2, KITLG, GHRHR, NCOA1, ITPR1, GAMT, and CAMK4, which have been proved to be related to egg number, egg. In addition, the most significant peak in this study was located at 48.61–48.84 Mb on chromosome 5. The remaining QTLs were related to reproductive traits, including 2 with ovary weight (Additional file 3: Table S3)

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