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Comparative antennal transcriptome of Apis cerana cerana from four developmental stages

文献类型: 外文期刊

作者: Zhao, Huiting 1 ; Peng, Zhu 1 ; Du, Yali 2 ; Xu, Kai 2 ; Guo, Lina 2 ; Yang, Shuang 2 ; Ma, Weihua 3 ; Jiang, Yusuo 2 ;

作者机构: 1.Shanxi Agr Univ, Coll Life Sci, Taigu, Shanxi, Peoples R China

2.Shanxi Agr Univ, Coll Anim Sci & Vet Med, Taigu, Shanxi, Peoples R China

3.Shanxi Acad Agr Sci, Inst Hort, Taiyuan 030031, Shanxi, Peoples R China

关键词: Apis cerana cerana; Antenna; Developmental stages; Transcriptome; Differentially expressed genes

期刊名称:GENE ( 影响因子:3.688; 五年影响因子:3.329 )

ISSN: 0378-1119

年卷期: 2018 年 660 卷

页码:

收录情况: SCI

摘要: Apis cerana cerana, an important endemic honey bee species in China, possesses valuable characteristics such as a sensitive olfactory system, good foraging ability, and strong resistance to parasitic mites. Here, we performed transcriptome sequencing of the antenna, the major chemosensory organ of the bee, using an Illumina sequencer, to identify typical differentially expressed genes (DEGs) in adult worker bees of different ages, namely, T1 (1 day); T2 (10 days); T3 (15 days); and T4 (25 days). Surprisingly, the expression levels of DEGs changed significantly between the Ti period and the other three periods. All the DEGs were classified into 26 expression profiles by trend analysis. Selected trend clusters were analyzed, and valuable information on gene expression patterns was obtained. We found that the expression levels of genes encoding cuticle proteins declined after eclosion, while those of immunity-related genes increased. In addition, genes encoding venom proteins and major royal jelly proteins were enriched at the T2 stage; small heat shock proteins showed significantly higher expression at the T3 stage; and some metabolism-related genes were more highly expressed at the T4 stage. The DEGs identified in this study may serve as a valuable resource for the characterization of expression patterns of antennal genes in A. cerana cerana. Furthermore, this study provides insights into the relationship between labor division in social bees and gene function.

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