Suppr超能文献

全基因组 QTL 分析鉴定了尼罗罗非鱼缺氧耐受性与 GPR132 和 ABCG4 基因突变之间的显著关联。

Genome-Wide QTL Analysis Identified Significant Associations Between Hypoxia Tolerance and Mutations in the GPR132 and ABCG4 Genes in Nile Tilapia.

机构信息

State Key Laboratory of Biocontrol, Institute of Aquatic Economic Animals and Guangdong Provincial Key Laboratory for Aquatic Economic Animals, College of Life Sciences, Sun Yat-Sen University, Guangzhou, 510275, People's Republic of China.

出版信息

Mar Biotechnol (NY). 2017 Oct;19(5):441-453. doi: 10.1007/s10126-017-9762-8. Epub 2017 Jul 11.

Abstract

Exposure to hypoxia induces both acute and chronic stress responses, which plays an important role in health of cultured organisms including growth, reproduction, immunity, and other energy demanding activities. Application of advanced genomic technologies allows rapid identification of hypoxia trait-associated genes and precise selection of superior brood stocks with high tolerance in tilapia. By applying QTL-seq and double-digest restriction-site associated DNA sequencing (ddRAD-seq) techniques, we identified four genome-wide significant quantitative trait loci (QTLs) for hypoxia tolerance and many suggestive QTLs in Nile tilapia. These QTLs explained 6.6-14.7% of the phenotypic variance. Further analysis revealed that single nucleotide polymorphisms (SNPs) in exons of both GPR132 and ABCG4 genes located in genome-wide QTL intervals were significantly associated with hypoxia-tolerant traits. Expression analysis of both genes suggested that they were strong candidate genes involved into hypoxia tolerance in tilapia. Our findings suggest that both QTL-seq and ddRAD-seq techniques can be effectively utilized in QTL mapping of hypoxia traits in fish. Our data supply a basis for further marker-assisted selection of super lines with a high level of tolerance against low oxygen stress in the tilapia.

摘要

缺氧暴露会引发急性和慢性应激反应,这在包括生长、繁殖、免疫和其他需要能量的活动在内的养殖生物的健康中起着重要作用。先进的基因组技术的应用可以快速识别与缺氧特性相关的基因,并精确选择对罗非鱼具有高耐受性的优良亲鱼。通过应用 QTL-seq 和双酶切限制位点相关 DNA 测序(ddRAD-seq)技术,我们在尼罗罗非鱼中鉴定出了四个与耐缺氧性相关的全基因组显著数量性状位点(QTLs)和许多有意义的 QTLs。这些 QTLs解释了 6.6-14.7%的表型方差。进一步的分析表明,位于全基因组 QTL 区间内的 GPR132 和 ABCG4 基因外显子中的单核苷酸多态性(SNPs)与耐缺氧特性显著相关。这两个基因的表达分析表明,它们是参与罗非鱼耐缺氧性的强候选基因。我们的研究结果表明,QTL-seq 和 ddRAD-seq 技术可有效地应用于鱼类耐缺氧特性的 QTL 定位。我们的数据为进一步标记辅助选择具有高耐低氧应激水平的超级系提供了基础。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验