Dataset Information

Identification and differential expression of microRNAs in the testis of chicken with high and low sperm motility

ABSTRACT: Sperm motility is one of the most important indicator for evaluating roosters’ fecundity. However, the molecular regulation underlying chicken sperm motility is not yet clear. MicroRNA (miRNA) plays epigenetic roles in reproduction. In this study, we compared the testicular miRNAs of Beijing-you roosters with high (HS) and low (LS) sperm motility using Solexa sequencing. Length distribution analysis showed that the dominant size of the small RNAs detected in the testis was 24~28 nt. In total, 518 known and 106 novel miRNAs were identified. A number of 23 miRNAs were found differentially expressed (P < 0.05, |log2fold change| ≥ 1) between the HS and LS, including 18 known and five novel miRNAs. Function enrichment of predicted target genes of the differential miRNAs indicated that the differentially expressed miRNAs were involved in the pathways of GnRH signaling, MAPK signaling, and Wnt signaling. The miRNA-gene interaction network revealed two key candidate miRNA-gene pairs that may affect chicken sperm motility viz gga-miR-155/KCNA1 and gga-miR-7480-5p/AHI1. qRCR was also used to further validate their expression. The results here provide deep insight into the expression of miRNA in the testis of chicken and suggest their roles in sperm motility regulation.

ORGANISM(S): Gallus gallus

PROVIDER: GSE109141 | GEO | 2018/01/13

SECONDARY ACCESSION(S): PRJNA429756

REPOSITORIES: GEO

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Project description:Avian pathogenic Escherichia coli (APEC) is considered one of the most common infectious bacterial diseases resulting in significant economic losses in poultry industry worldwide. In order to investigate the association between host immune resistance and miRNA expression in the pathogenic process induced by APEC, miRNA expression profiles in broilers spleen were performed by Solexa deep sequencing from three different treatment groups including non-challenged (NC), challenged-mild pathology (MD), and challenged-severe pathology (SV).In total, 3 462 706, 3 586 689, and 3 591 027 clean reads were obtained for NC, MD, and SV, respectively. After comparing the miRNA expression patterns, 27 differentially expressed miRNAs were identified among the three response groups, which included 13 miRNAs between NC and MD, 17 between NC and SV, and 14 between MD and SV. For these miRNAs, different expression in MD and SV suggested they may have resistance activity in APEC infection. Through integrated analysis of miRNA and mRNA expression patterns, 43 negative pairs between miRNA and mRNA (r < -0.80) were obtained. 4 miRNAs were validated to be significant negatively correlated to targets by quantitative real time PCR: gga-miR-21 (CLEC3B and GGTLA1), gga-miR-429 (TMEFF2, CDC20, SHISA2 and NOX4), gga-miR-146b (LAT2 and WNK1), and gga-miR-215 (C7 and ASL2). Additionally, the expression of gga-miR-21 and gga-miR-146b was significantly up-regulated by LPS induced in HD11 macrophage cell. In contrast, gga-miR-429 has no significant change. In summary, we present the first report that characterized the miRNA profiles of chicken spleen in response to APEC infection, and identified several candidate miRNAs which might accelerate host immune response through down-regulating their specific target genes. Through the intra-air sac route into the left thoracic air sac, 240 non-vaccinated males at 4 weeks of age were challenged with 0.1 ml APEC O1 (10^8 colony forming units) and another 120 non-vaccinated males were non-challenged but treated with 0.1 ml PBS. Detailed information on the APEC O1 strain and challenge process was described by previously described study. Necropsy was performed at 1 day post challenge, and a summarized lesion ranging from 0 to 7 was determined for each APEC-challenged bird. Birds with lesions scoring 0-2 were regarded as mild infection, and those scoring 4-7 were designated as severe infection. The mild and severe pathology meant that birds were resistant and susceptible to APEC infection, respectively. Then, spleens from three groups, consisting of non-challenged, challenged-mild pathology and challenged-severe pathology were subjected to Solexa deep sequencing to investigate the dynamics of chicken miRNA expression.

Dataset Information

Identification and differential expression of microRNAs in the testis of chicken with high and low sperm motility

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