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将基因组学和精液微生物组结合起来,可以提高预测公牛繁殖率的准确性
Pâmela A Alexandre1,2, Silvia T Rodríguez-Ramilo3, Núria Mach4
1CSIRO MOSH-Future Science Platform, St Lucia, Queensland, Australia.
概括
将精液微生物组数据与基因组信息相结合,可以显著改善牛的生育特征 (如精子质量和繁殖率) 的预测,提高牲畜的生产力和可持续性.
科学领域:
- 动物基因组学 动物基因组学
- 生殖生物学 生殖生物学
- 微生物组研究 微生物组研究
背景情况:
- 畜牧业生产者在健康和效率方面的遗传进步面临挑战,原因是多种系统中的血统数据有限.
- 男性生育特征是复杂的,受遗传学,环境和近亲繁殖的影响,影响着牲畜的整体生产力和可持续性.
- 基因组选择至关重要,但需要准确的预测,特别是受直接遗传学之外的因素影响的特征.
研究的目的:
- 研究将精子微生物组数据与基因组信息相结合的潜力,以便更好地预测牛中的男性生育特征.
- 评估组合基因组和微生物组数据对预测正常精子 (PNS) 百分比和 sire繁殖率的影响.
- 探索精液微生物组在解决近亲繁殖抑郁影响生育能力方面的作用.
主要方法:
- 利用大型Angus澳大利亚数据集 (78,555只动物) 进行基因型和血统,模拟PNS和繁殖能力.
- 结合了45头公牛的模拟精液微生物组数据,用于最终数据集中的713只公母.
- 开发了整合基因组和微生物组信息的基因组模型,将其预测能力与仅基因组模型进行比较.
主要成果:
- 结合基因组和微生物组数据的模型解释了与仅基因组模型 (0.36和0.41) 相比,PNS (0.94) 和繁殖率 (0.56) 的表型变异比例更高.
- 组合模型显示了顶部和底部四分位数之间的较大表型差异,表明选择潜力得到改善.
- 证实近亲繁殖抑郁影响生育特征,突出了微生物组数据在预测中的可操作潜力.
结论:
- 精液微生物组在被整合到基因组预测模型中时,具有显著的潜力来改善牛的生育特征.
- 这种方法可以通过提高生育选择的准确性来提高牲畜生产率和可持续性.
- 这些发现为有针对性的微生物干预措施铺平了道路,以提高畜牧业的生殖性能.
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