鱼类转录组学:应用于我们对水产养殖的理解

J. Heras
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引用次数: 0

摘要

全球气候变化影响到地球上的每一个生态系统,包括水生系统,在全球气候变化面前出现了新的挑战。这一点在对世界海洋的观测中很明显,这些观测显示了海洋表面温度、海平面和海洋酸度的逐渐变化趋势。这些环境变化影响到渔业和水产养殖等人力资源。此外,根据世界银行的数据,人口的增长还将需要更多的粮食和营养品生产,其中包括水产养殖等行业。随着对水产养殖和渔业的需求不断增加,我们必须开发有效和富有成效的方法来经营这些行业。我们可以使用遗传方法,特别是转录组信息来更好地了解我们营养来源的生物学。随着RNASeq技术的出现,我们可以更好地了解生长发育、免疫功能和应激以及适应。使用群体遗传学或(基因组学)来检测群体或密切相关物种之间的单核苷酸多态性(snp),可以从种群结构到渔业诱导的进化提供更深入的了解。此外,候选基因座可以进一步研究,以更好地理解进化过程,为生理适应和基因表达模式提供线索,有助于阐明这些生物如何对当前环境做出反应。此外,转录组学分析(如差异基因表达)的使用可用于确定在各种环境条件下的恢复能力,如污染、缺氧/缺氧条件、盐度波动和极端温度。对许多水产养殖物种的转录组学研究有所增加,其目的是提高我们对生长、发育和代谢的理解,为渔业和水产养殖业提供重要信息,以适应环境条件,如氧气有效性、营养和盐度。所有这些方面都为提高我们对水产养殖、渔业和养护管理的认识提供了有见地的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fish Transcriptomics: Applied to Our Understanding of Aquaculture
New challenges arise in the face of global climate change which impact every ecosystem on earth, including aquatic systems. This is evident in observations made in regard to the world’s oceans, which show trends of incremental changes in ocean surface temperatures, sea levels, and ocean acidity. These environmental shifts impact human resources such as fisheries and aquaculture. In addition, according to the World Bank, the increase in human population will also require more food and nutrient production, which include industries such as aquaculture. With this increasing demand in aquaculture and fisheries, we must develop efficient and productive methods to operate these industries. We can use genetic methods, specifically transcriptomic information to better understand the biology of our source of nutrition. With the advent of RNASeq techniques, we can provide a better understanding about growth and development, immune function and stress, and adaptations. The use of population genetics or (genomics) to detect Single Nucleotide Polymorphisms (SNPs) between populations or closely related species can provide greater insight from stock structure to fishery-induced evolution. In addition, candidate loci can be investigated further to better understanding evolutionary processes, which provide clues on physiological adaptations and gene expression patterns that can help elucidate how these organisms respond to their current environment. In addition, the use of transcriptomic analyses such as differential gene expression can be used to determine resilience in various environmental conditions such as pollution, hypoxic/anoxic conditions, fluctuations in salinity, and temperature extremes. There has been an increase in transcriptomic studies for many aquaculture species, which has aimed at improving our understanding of growth, development, and metabolism, providing vital information for fisheries and aquaculture industries to make adjustments to environmental conditions such as oxygen availability, nutrition, and salinity. All of these aspects provide insightful information for advancing our knowledge of aquaculture, fisheries and conservation management.
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