Spermatogonial Stem Cell Transplantation: Insights and Outlook for Domestic Animals

Spermatogonial Stem Cell Transplantation: Insights and Outlook for Domestic Animals
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DOI:
10.1146/annurev-animal-020518-115239
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发表时间:
2019-01-01
期刊:
ANNUAL REVIEW OF ANIMAL BIOSCIENCES, VOL 7
影响因子:
--
通讯作者:
Oatley, Jon M.
Oatley, Jon M.
中科院分区:
其他
文献类型:
--
作者:
Giassetti, Mariana I.;Ciccarelli, Michela;Oatley, Jon M.

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由于人口增长,未来30年对粮食的需求将增加到前所未有的水平,因此必须进行改进,以提高牲畜生产的效率。通过选择性地使用来自被认为是精英动物的配子,最有效地实现了提高家畜种群生产性状的遗传增益,这一原则已经被人类采用了数千年的选择性育种策略的基础。在现代动物农业中,人工授精(AI)一直是选择性育种计划的主要内容,但它在肉牛和猪生产系统中的应用具有固有的局限性。在这篇综述中,我们讨论了作为下一代畜牧生产育种工具的代畜概念的潜力和发展现状。该方案利用精原干细胞从供体睾丸组织分离后再生精子的能力,并将其转移到缺乏内源性生殖系的受体男性的睾丸中,从而允许替代男性通过自然交配与供体单倍型生育后代。这一概念为实现遗传增益提供了一种有效的选择性育种工具,有利于人工智能难以实施的畜牧生产系统。
The demand for food will increase to an unprecedented level over the next 30 years owing to human population expansion, thus necessitating an evolution that improves the efficiency of livestock production. Genetic gain to improve production traits of domestic animal populations is most effectively achieved via selective use of gametes from animals deemed to be elite, and this principle has been the basis of selective breeding strategies employed by humans for thousands of years. In modern-day animal agriculture, artificial insemination (AI) has been the staple of selective breeding programs, but it has inherent limitations for applications in beef cattle and pig production systems. In this review, we discuss the potential and current state of development for a concept termed Surrogate Sires as a next-generation breeding tool in livestock production. The scheme capitalizes on the capacity of spermatogonial stem cells to regenerate sperm production after isolation from donor testicular tissue and transfer into the testes of a recipient male that lacks endogenous germline, thereby allowing the surrogate male to produce offspring with the donor haplotype via natural mating. This concept provides an effective selective breeding tool to achieve genetic gain that is conducive for livestock production systems in which AI is difficult to implement.