Scientia Agricultura Sinica ›› 2018, Vol. 51 ›› Issue (18): 3600-3613.doi: 10.3864/j.issn.0578-1752.2018.18.016

• ANIMAL SCIENCE·VETERINARY SCIENCE·RESOURCE INSECT • Previous Articles     Next Articles

Differential Expression Analysis of Long Non-Coding RNAs During the Developmental Process of Apis mellifera ligustica Worker’s Midgut

Rui GUO1(), SiHai GENG1(), CuiLing XIONG1, YanZhen ZHENG1, ZhongMin FU1, HaiPeng WANG1, Yu DU1, XinYu TONG1, HongXia ZHAO2, DaFu CHEN1()   

  1. 1College of Bee Science, Fujian Agriculture and Forestry University, Fuzhou 350002
    2Guangdong Institute of Applied Biological Resources, Guangzhou 510260
  • Received:2018-03-17 Accepted:2018-05-08 Online:2018-09-16 Published:2018-09-16

Abstract:

【Objective】Long non-coding RNA (lncRNA) plays an important role in regulation of gene expression, epigenetics and cell cycle in eukaryotes. The objective of this study is to investigate the expression profile and role of lncRNAs in the developmental process of Apis mellifera ligustica worker’s midgut. 【Method】In this study, 7- and 10-day-old worker’s midguts of A. m. ligustica (Am7, Am10) were sequenced using RNA-seq technology and strand-specific library construction method. Using Perl script, raw reads were filtered to obtain clean reads with high-quality. Bowtie tool was used to compare clean reads to the ribosome database, and TopHat2 software was employed to compare unmapped clean reads to the reference genome. CPC and CNCI softwares were utilized to predict coding capacity of the transcripts. RT-PCR was performed to identify partial lncRNAs. Investigation of differentially expressed lncRNAs (DElncRNAs) was carried out with edgeR, followed by prediction of upstream and downstream genes, for which GO and KEGG pathway enrichment analyses were performed. RNAhybrid, Miranda and TargetScan softwares were utilized together to predict target miRNAs of DElncRNAs and target genes of miRNAs, and DElncRNAs-miRNAs-mRNAs regulation networks were visualized via Cytoscape. Finally, RT-qPCR was conducted to verify reliability of the sequencing data.【Result】134 802 058 and 147 051 470 raw reads were gained from deep sequencing of Am7 and Am10, respectively, and after stringent filtration, 134 166 157 and 146 293 288 were obtained. In total, 6 353 lncRNAs were predicted, and 3 890 DElncRNAs were obtained based on expression calculation, including 2 005 up-regulated lncRNAs and 1 885 down-regulated lncRNAs. The result of RT-PCR suggested the expected signal bands could be amplified from 8 lncRNAs, implying their true existence. There were 1 793 upstream and downstream genes of DElncRNAs, which were involved in 42 GO terms, including metabolic processes, developmental processes, cellular processes, stress responses, immune system processes and so forth. They were also associated with 251 KEGG pathways, including material metabolism pathways such as carbon metabolism, purine metabolism and fatty acid biosynthesis; energy metabolism pathways such as sulfur metabolism, methane metabolism and oxidative phosphorylation; signaling pathways such as Hippo, Wnt and Notch signaling pathways; cellular immune pathways such as lysosome, endocytosis and ubiquitin mediated proteolysis; humoral immune pathways such as MAPK, Jak-STAT and NF-kappa B pathways, these results demonstrated the DElncRNAs were involved in the material and energy metabolism, cell life activity and immunity regulation in the developmental process of A. m. ligustica worker’s midgut. Further analysis showed TCONS_00020918 might play a regulatory part in the nutrient absorption and caste differentiation in the worker’s midgut. Analysis of regulation networks demonstrated that complex networks existed between DElncRNAs and target miRNAs and mRNAs, partial DElncRNAs lie in the central of the networks and link many miRNAs, and partial miRNAs could be bound by many DElncRNAs, which indicated that these DElncRNAs might play an important role during the developmental process of the worker’s midgut. Finally, 5 DElncRNAs were randomly selected for RT-qPCR assay, and the result proved the reliability of sequencing data in this study.【Conclusion】DElncRNA is widely involved in the metabolism, cellular activity and immune regulation of A. m. ligustica worker’s midgut, and plays a role as a competitive endogenous RNA (ceRNA). The results provide the necessary data support for the screening and functional study of key lncRNA.

Key words: Apis mellifera ligustica, midgut, development, long non-coding RNA, upstream and downstream genes

Fig. 1

Artificial rearing of A. m. ligustica worker"

Table 1

Overview of RNA-seq datasets"

样品 Sample 原始读段 Raw reads 有效读段 Clean reads 99.9%的碱基正确率 Q20 (%) 99.99%的碱基正确率 Q30 (%)
Am7-1 160844082 160049106 (99.51%) 97.41 94.00
Am7-2 129878194 129283918 (99.54%) 97.56 94.19
Am7-3 113683898 113165446 (99.54%) 97.52 94.03
Am10-1 160537248 159765346 (99.52%) 97.27 93.84
Am10-2 149230808 148494716 (99.51%) 97.28 93.77
Am10-3 131386354 130619802 (99.42%) 96.98 93.34

Fig. 2

Pearson correlation between every two biological repeats within each A. m. ligustica midgut sample The horizontal and vertical coordinates represent gene expression level (FPKM)"

Fig. 3

RT-PCR validation of RNA-seq data M: DNA marker; 1: TCONS_00020918; 2: TCONS_00021005; 3: TCONS_00019675; 4: TCONS_00019678; 5: TCONS_00025221; 6: TCONS_00025232; 7: TCONS_00025235; 8: TCONS_00025236"

Table 2

Information of primers for RT-PCR and RT-qPCR"

引物名称
Primer name
引物序列
Primer sequence (5′-3′)
1-F GGCTGAAGATTTCGGATTC
1-R AGAAGGAGGCAAGGAGGAT
2-F GCAAAGACGGAAAGATGG
2-R CCGATGAGTGTGTTCAGTTT
3-F GCCTGTTAGCCATAGTAAGACG
3-R AGAGTGTTGAGCAGCGTTG
4-F CGAGGATGAGCAACTGACA
4-R GCTACGAGCCAGAAGTCTTT
5-F CGCAGTAATGAAAGCATAGG
5-R CGCATCGTGTAACCATAAGA
6-F CCTCTTGGAGATTCCGATACAG
6-R CGTTACCACCATTCAACACG
7-F CCTCTTGGAGATTCCGATACAG
7-R ACCATTCAACACGAGCACC
8-F CCTCTTGGAGATTCCGATACAG
8-R ACCACCATTCAACACGAGC
RE1-F GTTGCTCAAACATCCGAGT
RE1-R CGTTCCATCTTCCTCCAAG
RE2-F TCGTATTCTACAGGGCTTGG
RE2-R TCGCTTCCTTCGTTTAGG
RE3-F GGTTTACTATGCTCCGACGA
RE3-R GGTGATACCGATGGACTCA
RE4-F AGCCAACAGGTGAAATGTG
RE4-R AGGTGTCAGACTGCGGTAA
RE5-F CGTTTCTCGTGCTGCTCTCT
RE5-R AGATGCCACACTTGGATGG
Actin-F CACTCCTGCTATGTATGTCGC
Actin-R GGCAAAGCGTATCCTTCA

Fig. 4

GO classification of DElncRNAs’ upstream and downstream genes"

Fig. 5

KEGG pathway enrichment analysis of DElncRNA’s upstream and downstream genes Enrichment analysis;General picture of Hippo signaling pathway"

Fig. 6

Regulation network of DElncRNAs during the developmental process of A. m. ligustica worker’s midgut"

Fig. 7

RT-qPCR validation of transcriptome data"

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