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Insights into gene expression responses to infections in teleosts using microarray data: a systematic review
Reviews in Aquaculture ( IF 8.8 ) Pub Date : 2020-07-08 , DOI: 10.1111/raq.12462
Mario Caruffo 1, 2 , Dinka Mandakovic 1, 3, 4, 5 , Pablo Cabrera 1 , Igor Pacheco 1 , Liliana Montt 3, 4 , Ignacio Chávez‐Báez 3, 4 , Madelaine Mejías 3, 4 , Francisca Vera‐Tamargo 3, 4 , Javiera Perez‐Valenzuela 3, 4 , Alonso Carrasco‐Labra 6, 7 , Rodrigo Pulgar 1, 3, 4
Affiliation  

The rapid growth of production in aquaculture in the last decades has brought unwanted consequences affecting fish health and increasing the susceptibility to different infections. This systematic review aimed to analyse and summarize the current knowledge of gene expression responses to infectious diseases in teleosts using viruses, bacteria, fungi and parasites as agents through published microarray data. We conducted searches in electronic databases, including PubMed, Web of Science and SCOPUS until 1 May 2019. We identified 862 citations across databases and manual searches. After removing duplicates, we screened 455 unique references using titles and abstracts, of which 262 proved potentially eligible and evaluated using full text. A total of 79 articles proved eligible for this review. From the articles retrieved, we examined 261 different experiments (or ‘studies’) and more than a hundred thousand differentially expressed genes (DEGs). This systematic review represents the first catalogue of genes (and their associated processes) that differentially transcribe in different teleost species (13 species) due to infections generated by a large variety of pathogens (38 types). Although the obtained gene expression results are in considerable measure associated with expected immune response, other genes showed surprising significant transcriptional outcomes that may unravel unknown functions related to fish infections. This type of investigations facilitates the visualization of existing gaps in researches that may inspire future analysis in non‐traditional but relevant host or pathogen species.

中文翻译:

利用微阵列数据洞悉硬骨鱼感染的基因表达反应:系统综述

最近几十年来,水产养殖产量的快速增长给鱼类健康带来了不良后果,并增加了对不同感染的敏感性。本系统综述旨在通过发表的微阵列数据,分析和总结对以病毒,细菌,真菌和寄生虫为媒介的硬骨鱼中传染病基因表达反应的当前知识。我们对电子数据库(包括PubMed,Web of Science和SCOPUS)进行了搜索,直到2019年5月1日。我们在数据库和人工搜索中确定了862条引用文献。删除重复项后,我们使用标题和摘要筛选了455个唯一引用,其中262个被证明可能具有资格并使用全文进行了评估。共有79篇文章被证明符合该评价的条件。从检索到的文章中,我们检查了261个不同的实验(或“研究”)和十万多个差异表达基因(DEG)。这项系统的综述代表了由于多种病原体(38种)引起的感染而在不同硬骨鱼种(13种)中差异转录的基因(及其相关过程)的第一类目录。尽管获得的基因表达结果在很大程度上与预期的免疫反应有关,但其他基因显示出令人惊讶的显着转录结果,可能揭示与鱼类感染有关的未知功能。这种类型的调查有助于可视化研究中的现有差距,这可能会激发对非传统但相关的宿主或病原体物种的未来分析。
更新日期:2020-07-08
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