Asian-Australasian Journal of Animal Sciences

  • 제25권10호
  • /
  • Pages.1481-1492
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  • 2012
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  • 1011-2367(pISSN)
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  • 1976-5517(eISSN)
아세아태평양축산학회 (Asian Australasian Association of Animal Production Societies)
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Paradigm of Time-sequence Development of the Intestine of Suckling Piglets with Microarray

  • Sun, Yunzi (School of Life Science, Guizhou Normal University) ;
  • Yu, Bing (Animal Nutrition Institute, Sichuan Agricultural University) ;
  • Zhang, Keying (Animal Nutrition Institute, Sichuan Agricultural University) ;
  • Chen, Xijian (Genminix Informatics Ltd. Co.) ;
  • Chen, Daiwen (Animal Nutrition Institute, Sichuan Agricultural University)
  • 투고 : 2011.12.26
  • 심사 : 2012.04.15
  • 발행 : 2012.10.01
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초록

The interaction of the genes involved in intestinal development is the molecular basis of the regulatory mechanisms of intestinal development. The objective of this study was to identify the significant pathways and key genes that regulate intestinal development in Landrace piglets, and elucidate their rules of operation. The differential expression of genes related to intestinal development during suckling time was investigated using a porcine genome array. Time sequence profiles were analyzed for the differentially expressed genes to obtain significant expression profiles. Subsequently, the most significant profiles were assayed using Gene Ontology categories, pathway analysis, network analysis, and analysis of gene co-expression to unveil the main biological processes, the significant pathways, and the effective genes, respectively. In addition, quantitative real-time PCR was carried out to verify the reliability of the results of the analysis of the array. The results showed that more than 8000 differential expression transcripts were identified using microarray technology. Among the 30 significant obtained model profiles, profiles 66 and 13 were the most significant. Analysis of profiles 66 and 13 indicated that they were mainly involved in immunity, metabolism, and cell division or proliferation. Among the most effective genes in these two profiles, CN161469, which is similar to methylcrotonoyl-Coenzyme A carboxylase 2 (beta), and U89949.1, which encodes a folate binding protein, had a crucial influence on the co-expression network.

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