| Literature DB >> 26477480 |
Motoshige Yasuike1, Atushi Fujiwara2, Yoji Nakamura2, Yuki Iwasaki2, Issei Nishiki2, Takuma Sugaya2, Akio Shimizu2, Motohiko Sano2, Takanori Kobayashi2, Mitsuru Ototake2.
Abstract
Bluefin tunas are one of the most important fishery resources worldwide. Because of high market values, bluefin tuna farming has been rapidly growing during recent years. At present, the most common form of the tuna farming is based on the stocking of wild-caught fish. Therefore, concerns have been raised about the negative impact of the tuna farming on wild stocks. Recently, the Pacific bluefin tuna (PBT), Thunnus orientalis, has succeeded in completing the reproduction cycle under aquaculture conditions, but production bottlenecks remain to be solved because of very little biological information on bluefin tunas. Functional genomics approaches promise to rapidly increase our knowledge on biological processes in the bluefin tuna. Here, we describe the development of the first 44K PBT oligonucleotide microarray (oligo-array), based on whole-genome shotgun (WGS) sequencing and large-scale expressed sequence tags (ESTs) data. In addition, we also introduce an initial 44K PBT oligo-array experiment using in vitro grown peripheral blood leukocytes (PBLs) stimulated with immunostimulants such as lipopolysaccharide (LPS: a cell wall component of Gram-negative bacteria) or polyinosinic:polycytidylic acid (poly I:C: a synthetic mimic of viral infection). This pilot 44K PBT oligo-array analysis successfully addressed distinct immune processes between LPS- and poly I:C- stimulated PBLs. Thus, we expect that this oligo-array will provide an excellent opportunity to analyze global gene expression profiles for a better understanding of diseases and stress, as well as for reproduction, development and influence of nutrition on tuna aquaculture production.Entities:
Keywords: Aquaculture; Bluefin tuna; Gene prediction; Immune system; Oligonucleotide microarray; Thunnus orientalis; Transcriptome
Mesh:
Year: 2015 PMID: 26477480 DOI: 10.1016/j.gene.2015.10.023
Source DB: PubMed Journal: Gene ISSN: 0378-1119 Impact factor: 3.688