Literature DB >> 26477480

A functional genomics tool for the Pacific bluefin tuna: Development of a 44K oligonucleotide microarray from whole-genome sequencing data for global transcriptome analysis.

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.
Copyright © 2015 The Authors. Published by Elsevier B.V. All rights reserved.

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


  5 in total

1.  Evolutionary divergence of a Hoxa2b hindbrain enhancer in syngnathids mimics results of functional assays.

Authors:  Allison M Fuiten; William A Cresko
Journal:  Dev Genes Evol       Date:  2021-05-18       Impact factor: 0.900

2.  Improvement of the Pacific bluefin tuna (Thunnus orientalis) reference genome and development of male-specific DNA markers.

Authors:  Ayako Suda; Issei Nishiki; Yuki Iwasaki; Aiko Matsuura; Tetsuya Akita; Nobuaki Suzuki; Atushi Fujiwara
Journal:  Sci Rep       Date:  2019-10-08       Impact factor: 4.379

3.  De novo Transcriptome Sequencing and Development of Abscission Zone-Specific Microarray as a New Molecular Tool for Analysis of Tomato Organ Abscission.

Authors:  Srivignesh Sundaresan; Sonia Philosoph-Hadas; Joseph Riov; Raja Mugasimangalam; Nagesh A Kuravadi; Bettina Kochanek; Shoshana Salim; Mark L Tucker; Shimon Meir
Journal:  Front Plant Sci       Date:  2016-01-14       Impact factor: 5.753

4.  Substitutions in the Glycogenin-1 Gene Are Associated with the Evolution of Endothermy in Sharks and Tunas.

Authors:  Adam G Ciezarek; Luke T Dunning; Catherine S Jones; Leslie R Noble; Emily Humble; Sergio S Stefanni; Vincent Savolainen
Journal:  Genome Biol Evol       Date:  2016-10-05       Impact factor: 3.416

5.  Linking Pedigree Information to the Gene Expression Phenotype to Understand Differential Family Survival Mechanisms in Highly Fecund Fish: A Case Study in the Larviculture of Pacific Bluefin Tuna.

Authors:  Motoshige Yasuike; Kazunori Kumon; Yosuke Tanaka; Kenji Saitoh; Takuma Sugaya
Journal:  Curr Issues Mol Biol       Date:  2021-11-26       Impact factor: 2.976

  5 in total

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