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匈牙利本土的茨盖羊,是一个有望具备出色耐热性和免疫力的品种。

Hungarian indigenous Tsigai, a promising breed for excellent heat tolerance and immunity.

作者信息

Astuti Putri Kusuma, Bagi Zoltán, Bodrogi Lilla, Pintér Tímea, Skoda Gabriella, Fajardo Roland, Kusza Szilvia

机构信息

Centre for Agricultural Genomics and Biotechnology, University of Debrecen, Debrecen 4032, Hungary.

Doctoral School of Animal Science, University of Debrecen, Debrecen 4032, Hungary.

出版信息

Saudi J Biol Sci. 2023 Sep;30(9):103747. doi: 10.1016/j.sjbs.2023.103747. Epub 2023 Aug 2.

Abstract

The adverse effects of climate change on sheep farming have become more noticeable in recent decades. Extensive efforts have been made to untangle the complex relationship between heat tolerance, animal health, and productivity, also to identify a resilient and economically suitable breed for selection that can be resilient to future climate change conditions. Using quantitative real-time polymerase chain reaction (qRT-PCR), we observed the seasonal variations in the expression of several important genes related to heat stress and immunity ( and ) in three of the most widely kept sheep breeds in Hungary: The indigenous Tsigai, Hungarian Merino, and White Dorper. We found that the seasonal stressor affected the relative gene expression of all genes in this study. Notably, The Hungarian indigenous Tsigai was the most robust breed adapted to the Hungarian continental (hot summer, cold winter) environment, with excellent thermotolerance and immunity. Furthermore, despite suffering from heat stress in the summer, Hungarian Merino maintained their robust immune system well throughout the year.

摘要

近几十年来,气候变化对养羊业的不利影响愈发明显。人们已付出大量努力来理清耐热性、动物健康与生产力之间的复杂关系,同时也致力于识别出一种适应力强且经济上合适的品种以供选择,使其能够抵御未来的气候变化。我们运用定量实时聚合酶链反应(qRT-PCR),观察了匈牙利饲养最为广泛的三个绵羊品种中,与热应激和免疫相关的几个重要基因(和)表达的季节性变化:本土的齐盖羊、匈牙利美利奴羊和白多赛特羊。我们发现,季节性应激源影响了本研究中所有基因的相对基因表达。值得注意的是,匈牙利本土的齐盖羊是最能适应匈牙利大陆性(夏季炎热、冬季寒冷)环境的强健品种,具有出色的耐热性和免疫力。此外,尽管匈牙利美利奴羊在夏季遭受热应激,但它们一整年都能很好地维持强健的免疫系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/572f/10432802/632f7e5b63c7/gr1.jpg

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