Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2014 Jun 27;15(1):533.
doi: 10.1186/1471-2164-15-533.

Profile of whole blood gene expression following immune stimulation in a wild passerine

Affiliations

Profile of whole blood gene expression following immune stimulation in a wild passerine

Richard Meitern et al. BMC Genomics. .

Abstract

Background: Immunoecology aims to explain variation among hosts in the strength and efficacy of immunological defences in natural populations. This requires development of biomarkers of the activation of the immune system so that they can be collected non-lethally and sampled from small amounts of easily obtainable tissue. We used transcriptome profiling in wild greenfinches (Carduelis chloris) to detect whole blood transcripts that most profoundly indicate upregulation of antimicrobial defences during acute phase response. The more general aim of this study was to obtain a functional annotation of a substantial portion of the greenfinch transcriptome that would enable to gain access to more specific genomic tools in subsequent studies. The birds received either bacterial lipopolysaccharide or saline injections and RNA-seq transcriptional profiling was performed 12 h after treatment to provide initial functional annotation of the transcriptome and assess whole blood response to immune stimulation.

Results: A total of 66,084 transcripts were obtained from de novo Trinty assembly, out of which 23,153 could be functionally annotated. Only 1,911 of these were significantly upregulated or downregulated. The manipulation caused marked upregulation of several transcripts related to immune activation. These included avian-specific antimicrobial agents avidin and gallinacin, but also some more general host response genes, such as serum amyloid A protein, lymphocyte antigen 75 and copper-transporting ATPase 1. However, links with avian immunity for most differentially regulated transcripts remained rather hypothetical, as a large set of differentially expressed transcripts lacked functional annotation.

Conclusions: This appears to be the first large scale transcriptional profiling of immune function in passerine birds. The transcriptomic data obtained suggest novel markers for the assessment of the immunological state of wild passerines. Characterizing the function of those possible novel infection markers would assist future vertebrate genome annotation. The extensive sequence information collected enables to identify possible target and housekeeping genes needed to gain access to more specific genomic tools in future studies.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Summary of the bioinformatics workflow. After de novo assembly of sequencing data, individual reads were mapped to the obtained assembly i.e. transcript abundance data were calculated per individual. Subsequently expression difference analysis and BLAST searches against Uniprot-Swissprot and NCBI non-redundant database were preformed. BLAST searches were also run against both chicken and zebra finch coding DNA and genome sequences (retrieved from Ensembl).
Figure 2
Figure 2
Comparisons with zebra finch and chicken cDNA. Comparison of alignment of the 66 072 greenfinch contig sequences with the zebra finch and chicken coding DNA databases (cDNA of known, novel and pseudo gene predictions retrieved from Ensembl). Numbers represent the number of greenfinch contigs aligning to each database. Most of the aligned contigs had a match in both species.
Figure 3
Figure 3
Gene ontology classification of differentially regulated transcripts. Biological process gene ontology (GO) terms of the annotated transcripts with absolute fold change >2, Baggerley's test P-value <0.01 (420 genes). This high level summary was obtained using GOSlimViewer [48] with the Generic GO slim set of GO terms developed by the GO Consortium (http://www.geneontology.org). Terms that made up <2% were merged with their parent term. The distribution indicates increase in catabolic processes and biosynthesis.

Similar articles

Cited by

References

    1. Schmid-Hempel P. Evolutionary Parasitology. The Integrated Study of Infections, Immunology, Ecology, and Genetics. New York: Oxford University Press; 2011.
    1. Wilson K, Cotter SC. Host-parasite interactions and the evolution of immune defense. Adv Study Behav. 2013;45:81–174. doi: 10.1016/B978-0-12-407186-5.00003-3. - DOI
    1. Jackson JA, Begon M, Birtles R, Paterson S, Friberg IM, Hall A, Ralli C, Turner A, Zawadzka M, Bradley JE. The analysis of immunological profiles in wild animals: a case study on immunodynamics in the field vole, Microtus agrestis. Mol Ecol. 2011;20(5):893–909. doi: 10.1111/j.1365-294X.2010.04907.x. - DOI - PubMed
    1. Pedersen AB, Babayan SA. Wild immunology. Mol Ecol. 2011;20(5):872–880. doi: 10.1111/j.1365-294X.2010.04938.x. - DOI - PubMed
    1. Demas GE, Nelson RJ. Ecoimmunology. New York: Oxford University Press; 2011.

Publication types

LinkOut - more resources