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Blood transcriptome resources of chinstrap (Pygoscelis antarcticus) and gentoo (Pygoscelis papua) penguins from the South Shetland Islands, Antarctica.

Authors :
Kim BM
Jeong J
Jo E
Ahn DH
Kim JH
Rhee JS
Park H
Source :
Genomics & informatics [Genomics Inform] 2019 Mar; Vol. 17 (1), pp. e5. Date of Electronic Publication: 2019 Mar 31.
Publication Year :
2019

Abstract

The Chinstrap (Pygoscelis antarcticus) and Gentoo (P. papua) penguins are distributed throughout Antarctica and the sub-Antarctic islands. In this study, high-quality de novo assemblies of blood transcriptomes from these penguins were generated using the Illumina MiSeq platform. A total of 22.2 and 21.8 raw reads were obtained from Chinstrap and Gentoo penguins, respectively. These reads were assembled using the Oases assembly platform and resulted in 26,036 and 21,854 contigs with N50 values of 929 and 933 base pairs, respectively. Functional gene annotations through pathway analyses of the Gene Ontology, EuKaryotic Orthologous Groups, and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases were performed for each blood transcriptome, resulting in a similar compositional order between the two transcriptomes. Ortholog comparisons with previously published transcriptomes from the Adélie (P. adeliae) and Emperor (Aptenodytes forsteri) penguins revealed that a high proportion of the four penguins' transcriptomes had significant sequence homology. Because blood and tissues of penguins have been used to monitor pollution in Antarctica, immune parameters in blood could be important indicators for understanding the health status of penguins and other Antarctic animals. In the blood transcriptomes, KEGG analyses detected many essential genes involved in the major innate immunity pathways, which are key metabolic pathways for maintaining homeostasis against exogenous infections or toxins. Blood transcriptome studies such as this may be useful for checking the immune and health status of penguins without sacrifice.

Details

Language :
English
ISSN :
1598-866X
Volume :
17
Issue :
1
Database :
MEDLINE
Journal :
Genomics & informatics
Publication Type :
Academic Journal
Accession number :
30929406
Full Text :
https://doi.org/10.5808/GI.2019.17.1.e5