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Ducks are the reservoir host of influenza, and are permissive for replication of most strains, yet can elicit robust innate immune responses to highly pathogenic strains. Tissue tropism and viral amino acid differences affect virulence, but we have limited knowledge about how viral differences influence the host innate immune response. Here we compare the innate immune response in Pekin ducks to a recombinant highly-pathogenic avian influenza (HPAI) H5N1 virus and a naturally arising attenuated variant of this strain that differs at one amino acid in polymerase A (T515A), as well as ducks infected with two different H5 strains of low pathogenic avian influenza (LPAI). Using qPCR we examined the relative abundance of transcripts for RIG-I and interferon-beta (IFNβ), and downstream interferon stimulated genes (ISGs). The polymerase PA (T515A) mutation did not significantly affect replication in vivo but greatly attenuated host interferon responses. ISG induction was robust for both H5N1 strains, but was three times lower for the PA mutant strain. Low pathogenic viruses elicited detectable induction of RIG-I, IFNβ and ISGs in lung and intestine tissues that correlated with the recovery of viruses from tracheal or cloacal swabs. Several genes in the MAVS signaling pathway were also upregulated by H5N1, which contributed to further amplification of the signal. We also examined hematoxylin-eosin stained tissue sections and observe evidence of lung pathology and splenocyte depletion with both H5N1 viruses at 3 dpi, and recovery by 6 dpi. However, for both H5N1 strains we observed inflammation around neurons in brain, with increased cytokine expression in some individuals. Our findings reveal HPAI H5N1 viruses induced stronger innate immune responses to the infection, while LPAI viruses elicit a milder response.

Recent developments in next-generation sequencing technologies have greatly facilitated the study of whole transcriptomes in model and non-model species. Studying the transcriptome and how it changes across a variety of biological conditions has had major implications for our understanding of how the genome is regulated in different contexts, and how to interpret adaptations and the phenotype of an organism. The aim of this review is to highlight the potential of these new technologies for the study of avian transcriptomics, and to summarise how transcriptomics has been applied in ornithology. A total of 81 peer-reviewed scientific articles that used transcriptomics to answer questions within a broad range of study areas in birds are used as examples throughout the review. We further provide a quick guide to highlight the most important points which need to be take into account when planning a transcriptomic study in birds, and discuss how researchers with little background in molecular biology can avoid potential pitfalls. Suggestions for further reading are supplied throughout. We also discuss possible future developments in the technology platforms used for ribonucleic acid sequencing. By summarising how these novel technologies can be used to answer questions that have long been asked by ornithologists, we hope to bridge the gap between traditional ornithology and genomics, and to stimulate more interdisciplinary research.

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