title: Next-generation sequencing-based transcriptome analysis of Helicoverpa armigera Larvae immune-primed with Photorhabdus luminescens TT01.
abstract: Although invertebrates are incapable of adaptive immunity, immunal reactions which are functionally similar to the adaptive immunity of vertebrates have been described in many studies of invertebrates including insects. The phenomenon was termed immune priming. In order to understand the molecular mechanism of immune priming, we employed Illumina/Solexa platform to investigate the transcriptional changes of the hemocytes and fat body of Helicoverpa armigera larvae immune-primed with the pathogenic bacteria Photorhabdus luminescens TT01. A total of 43.6 and 65.1 million clean reads with 4.4 and 6.5 gigabase sequence data were obtained from the TT01 (the immune-primed) and PBS (non-primed) cDNA libraries and assembled into 35,707 all-unigenes (non-redundant transcripts), which has a length varied from 201 to 16,947 bp and a N50 length of 1,997 bp. For 35,707 all-unigenes, 20,438 were functionally annotated and 2,494 were differentially expressed after immune priming. The differentially expressed genes (DEGs) are mainly related to immunity, detoxification, development and metabolism of the host insect. Analysis on the annotated immune related DEGs supported a hypothesis that we proposed previously: the immune priming phenomenon observed in H. armigera larvae was achieved by regulation of key innate immune elements. The transcriptome profiling data sets (especially the sequences of 1,022 unannotated DEGs) and the clues (such as those on immune-related signal and regulatory pathways) obtained from this study will facilitate immune-related novel gene discovery and provide valuable information for further exploring the molecular mechanism of immune priming of invertebrates. All these will increase our understanding of invertebrate immunity which may provide new approaches to control insect pests or prevent epidemic of infectious diseases in economic invertebrates in the future.
authors.affiliation: State Key Laboratory of Biocontrol, Sun Yat-sen University, Guangzhou, China.
authors.forename: Zengyang
authors.initials: Z
authors.lastname: Zhao
authors.forename: Gongqing
authors.initials: G
authors.lastname: Wu
authors.forename: Jia
authors.initials: J
authors.lastname: Wang
authors.forename: Chunlin
authors.initials: C
authors.lastname: Liu
authors.forename: Lihong
authors.initials: L
authors.lastname: Qiu
mesh_terms: D000818:Animals; D016000:Cluster Analysis; D019295:Computational Biology; D020869:Gene Expression Profiling; D059014:High-Throughput Nucleotide Sequencing; D007814:Larva; D058977:Molecular Sequence Annotation; D009036:Moths / Q000235:genetics* / Q000382:microbiology*; D020637:Photorhabdus; D015203:Reproducibility of Results; D059467:Transcriptome