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白来航蛋鸡盲肠微小RNA组对肠炎沙门氏菌感染的反应

Cecal MicroRNAome response to Salmonella enterica serovar Enteritidis infection in White Leghorn Layer.

作者信息

Wu Guixian, Qi Yukai, Liu Xiaoyi, Yang Ning, Xu Guiyun, Liu Liying, Li Xianyao

机构信息

College of Animal Science and Technology, Shandong Agricultural University, Tai'an, Shandong, 271018, China.

College of Animal Science and Technology, China Agricultural University, Beijing, 100193, China.

出版信息

BMC Genomics. 2017 Jan 13;18(1):77. doi: 10.1186/s12864-016-3413-8.

DOI:10.1186/s12864-016-3413-8
PMID:28086873
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5237128/
Abstract

BACKGROUND

Salmonella enterica serovar Enteritidis (SE) is a food-borne pathogen and of great threat to human health through consuming the contaminated poultry products. MicroRNAs (miRNAs) play an important role in different biological activities and have been shown to regulate the innate immunity in the bacterial infection. The objective of this study is to identify miRNAs associated with SE infection in laying chicken cecum.

RESULTS

Average number of reads of three libraries constructed from infected and non-infected chickens was 12,476,156 and 10,866,976, respectively. There were 598 miRNAs including 194 potential novel miRNAs identified in which 37 miRNAs were significantly differentially expressed between infected and non-infected chickens. In total, 2897 unique target genes regulated by differentially expressed miRNAs were predicted, in which, 841 genes were uniquely regulated by up-regulated miRNAs (G1), 636 genes were uniquely regulated by down-regulated miRNAs (G2), and 1420 were co-regulated by both up and down- regulated miRNAs (G3). There were 118, 73 and 178 GO (Gene ontology) BP (Biological process) terms significantly enriched in G1, G2 and G3 groups, respectively. More immune-related GO BP terms than metabolism-related terms were found in G1. Expression of 12 immune-related genes of four differentially expressed miRNAs was detected through qRT-PCR. The regulatory direction of gga-miR-1416-5p, gga-miR-1662, and gga-miR-34a-5p were opposite with the target genes of TLR21, BCL10, TLR1LA, NOTCH2 and THBS1, respectively.

CONCLUSION

The miRNAs contribute to the response to SE infection at the onset of egg laying through regulating the homeostasis between metabolism and immunity. The gga-miR-125b-5p, gga-miR-34a-5p, gga-miR-1416-5p and gga-miR-1662 could play an important role in SE infection through regulating their target genes. The finding herein will pave the foundation for the studies of microRNA regulation in SE infection in laying hens.

摘要

背景

肠炎沙门氏菌肠炎血清型(SE)是一种食源性病原体,通过食用受污染的家禽产品对人类健康构成重大威胁。微小RNA(miRNA)在不同的生物学活动中发挥重要作用,并且已被证明在细菌感染中调节先天免疫。本研究的目的是鉴定与蛋鸡盲肠中SE感染相关的miRNA。

结果

从感染和未感染鸡构建的三个文库的平均读数分别为12,476,156和10,866,976。共鉴定出598个miRNA,包括194个潜在的新miRNA,其中37个miRNA在感染和未感染鸡之间有显著差异表达。总共预测了2897个由差异表达的miRNA调控的独特靶基因,其中841个基因由上调的miRNA(G1)独特调控,636个基因由下调的miRNA(G2)独特调控,1420个基因由上调和下调的miRNA共同调控(G3)。G1、G2和G3组分别有118、73和178个GO(基因本体论)BP(生物学过程)术语显著富集。在G1中发现的免疫相关GO BP术语比代谢相关术语更多。通过qRT-PCR检测了四个差异表达的miRNA的12个免疫相关基因的表达。gga-miR-1416-5p、gga-miR-1662和gga-miR-34a-5p的调控方向分别与TLR21、BCL10、TLR1LA、NOTCH2和THBS1的靶基因相反。

结论

miRNA通过调节代谢和免疫之间的稳态,有助于蛋鸡产蛋初期对SE感染的反应。gga-miR-125b-5p、gga-miR-34a-5p、gga-miR-1416-5p和gga-miR-1662可能通过调节其靶基因在SE感染中发挥重要作用。本研究结果将为蛋鸡SE感染中微小RNA调控的研究奠定基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9359/5237128/5d7c9d7d4632/12864_2016_3413_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9359/5237128/25d660f6ec9c/12864_2016_3413_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9359/5237128/becc2bb616b0/12864_2016_3413_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9359/5237128/6debf0f0c03f/12864_2016_3413_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9359/5237128/a269fffef2a3/12864_2016_3413_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9359/5237128/054246f2edab/12864_2016_3413_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9359/5237128/5d7c9d7d4632/12864_2016_3413_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9359/5237128/25d660f6ec9c/12864_2016_3413_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9359/5237128/becc2bb616b0/12864_2016_3413_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9359/5237128/6debf0f0c03f/12864_2016_3413_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9359/5237128/a269fffef2a3/12864_2016_3413_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9359/5237128/054246f2edab/12864_2016_3413_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9359/5237128/5d7c9d7d4632/12864_2016_3413_Fig6_HTML.jpg

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