Genome scale transcriptomics of baculovirus-insect interactions

Nguyen,Quan, Nielsen, Lars K. and Reid, Steven (2013) Genome scale transcriptomics of baculovirus-insect interactions. Viruses, 5 11: 2721-2747. doi:10.3390/v5112721

Author Nguyen,Quan
Nielsen, Lars K.
Reid, Steven
Title Genome scale transcriptomics of baculovirus-insect interactions
Journal name Viruses   Check publisher's open access policy
ISSN 1999-4915
Publication date 2013-11-12
Year available 2013
Sub-type Critical review of research, literature review, critical commentary
DOI 10.3390/v5112721
Open Access Status DOI
Volume 5
Issue 11
Start page 2721
End page 2747
Total pages 27
Place of publication Basel Switzerland
Publisher M D P I AG
Language eng
Formatted abstract
Baculovirus-insect cell technologies are applied in the production of complex proteins, veterinary and human vaccines, gene delivery vectors' and biopesticides. Better understanding of how baculoviruses and insect cells interact would facilitate baculovirus-based production. While complete genomic sequences are available for over 58 baculovirus species, little insect genomic information is known. The release of the Bombyx mori and Plutella xylostella genomes, the accumulation of EST sequences for several Lepidopteran species, and especially the availability of two genome-scale analysis tools, namely oligonucleotide microarrays and next generation sequencing (NGS), have facilitated expression studies to generate a rich picture of insect gene responses to baculovirus infections. This review presents current knowledge on the interaction dynamics of the baculovirus-insect system' which is relatively well studied in relation to nucleocapsid transportation, apoptosis, and heat shock responses, but is still poorly understood regarding responses involved in pro-survival pathways, DNA damage pathways, protein degradation, translation, signaling pathways, RNAi pathways, and importantly metabolic pathways for energy, nucleotide and amino acid production. We discuss how the two genome-scale transcriptomic tools can be applied for studying such pathways and suggest that proteomics and metabolomics can produce complementary findings to transcriptomic studies.
Keyword Baculovirus
Expression profile
Genome scale
Insect virus
Q-Index Code C1
Q-Index Status Confirmed Code
Grant ID LP0989824
Institutional Status UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: Official 2014 Collection
Australian Institute for Bioengineering and Nanotechnology Publications
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Citation counts: TR Web of Science Citation Count  Cited 14 times in Thomson Reuters Web of Science Article | Citations
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