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KMID : 0381120170390121407
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Genes and Genomics
2017 Volume.39 No. 12 p.1407 ~ p.1417
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Bioinformatic prediction and analysis of glucolipid metabolic regulation by miR-34a in Megalobrama amblycephala
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Miao Ling-Hong
Pan Wen-Jing
Lin Yan
Ge Xian-Ping
Liu Bo
Ren Ming-Chun
Zhou Qun-Lan
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Abstract
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The objective of this study was to analyze the target genes and regulatory function of miR-34a in Megalobrama amblycephala using second-generation high-throughput sequencing and bioinformatic tools. Functional enrichment analysis was performed by gene ontology. MiR-34a and target gene expression levels were measured in M. amblycephala fed normal and high-carbohydrate diets. The results revealed that miR-34a was highly conserved in several species, and miR-34a of M. amblycephala has a close evolutionary relationship to that of zebrafish and common carp. miRanda, TargetScan, RNAhybrid predicted 5,185, 6,282 and 2,168 target genes, respectively, and 645 target genes were in common. According to annotation information, the target genes were enriched in phosphate metabolism, glycerophospholipid metabolism, Golgi vesicle transport, cell division, and other biological processes (P?
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KEYWORD
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Megalobrama amblycephala, MiR-34a, Bioinformatics analysis, Target genes, Glucolipid metabolism
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