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两个经 divergent 选择的近交系小鼠品系中自愿饮水的遗传基础 。 注:这里“divergent”不太明确准确意思,可能是“差异的”之类意思,具体还需结合文献背景进一步确定准确译法 。

Genetic basis of voluntary water consumption in two divergently selected strains of inbred mice.

作者信息

Haag Maria, Wells Kevin, Lamberson William

机构信息

Division of Animal Sciences, University of Missouri, Columbia, Missouri.

出版信息

Vet Med Sci. 2019 Nov;5(4):569-573. doi: 10.1002/vms3.192. Epub 2019 Aug 2.

DOI:10.1002/vms3.192
PMID:31373779
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6868448/
Abstract

BACKGROUND

Inbred mouse strains with normal renal function show a substantial difference in daily water consumption across strains. This study uses two strains of inbred mice C57BR/CDJ (BR), which are high consumers, and C57BL/10J (BL), which are low consumers, their reciprocal F crosses, inter se bred F s and backcrosses produced by breeding high consuming F animals to the low consumer parent strain and low consuming F animals to the high consuming parent strain. Consumption was corrected for body weight prior to analysis.

METHODS

The effective number of genes controlling water consumption was estimated using the Castle-Wright estimator. Additive and dominance genotypic values as well as the degree of dominance were calculated using estimated strain means.

RESULTS

According to Castle-Wright, a minimum of 10 factors were estimated to affect the difference in consumption across the two strains. Between seven and eight are expected to be high effect factors. Using the Zeng adjustment, it was determined that 30-40 factors potentially affect the difference in consumption.

CONCLUSIONS

These numbers were surprising but may be related to several sources of variation present in the BR strain. A negative degree of dominance indicated the BL strain has more dominant factors.

摘要

背景

具有正常肾功能的近交系小鼠品系在每日饮水量上存在显著差异。本研究使用了两种近交系小鼠,高饮水量的C57BR/CDJ(BR)品系和低饮水量的C57BL/10J(BL)品系,以及它们的正反交F1代、相互杂交的F2代,还有通过将高饮水量的F1代动物与低饮水量的亲本品系杂交以及将低饮水量的F1代动物与高饮水量的亲本品系杂交产生的回交后代。在分析前对饮水量进行了体重校正。

方法

使用Castle-Wright估计器估计控制饮水量的有效基因数量。使用估计的品系均值计算加性和显性基因型值以及显性程度。

结果

根据Castle-Wright估计,至少有10个因素影响两个品系之间的饮水量差异。预计其中7到8个是高影响因素。使用曾氏调整法确定,有30 - 40个因素可能影响饮水量差异。

结论

这些数字令人惊讶,但可能与BR品系中存在的几种变异来源有关。负显性程度表明BL品系有更多的显性因素。

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