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小鼠焦虑多种行为指标的数量性状基因座分析

QTL analysis of multiple behavioral measures of anxiety in mice.

作者信息

Henderson Norman D, Turri Maria Grazia, DeFries John C, Flint Jonathan

机构信息

Oberlin College, Oberlin, Ohio 44074, USA.

出版信息

Behav Genet. 2004 May;34(3):267-93. doi: 10.1023/B:BEGE.0000017872.25069.44.

DOI:10.1023/B:BEGE.0000017872.25069.44
PMID:14990867
Abstract

In a test battery consisting of an open-field arena, a light-dark box, a mirror-chamber box, an elevated plus maze, and an elevated square maze, 1,671 mice were tested, generating over 100 putative measures of anxiety in rodents. Quantitative trait loci (QTL) analysis was carried out on all measures, plus composite measures and phenotypic factor scores. Significant LOD scores were found for QTL on 17 chromosomes, with large and consistent QTL behavioral effects on chromosomes 1, 4, 7, 8, 14, 15, l8, and X. QTL on chromosomes 4 and 8 largely influence locomotor activity in both home cages and novel environments, whereas QTL on chromosomes 1, 15, and 18 influence anxiety-related behaviors. Five genetically separable, cross-test dimensions of anxiety could be identified: (i) the suppression of locomotor activity in low to moderately anxiogenic regions of the tests; (ii) a shift toward proportionally less time and activity spent in high-anxiogenic test areas; (iii) the suppression of rearing behavior; (iv) increased latency to enter novel areas; (v) increased autonomic responses, as assessed by defecation and urination. Patterns of QTL influence on cross-test composite scores were distinctive. For example, the QTL on chromosome 1 strongly influenced safe-area locomotor activity (LOD = 35) and autonomic responses (LOD = 16), whereas the QTL on chromosome 15 influenced the proportion of activity in high-anxiogenic areas (LOD = 16), latency to enter novel areas (LOD = 36) and rearing behavior (LOD = 57). Phenotypic factor analysis identified factors heavily loaded on single tests, rather than cross-test factors. The use of factor analysis or within-test principal components for data reduction before genetic analysis was less satisfactory than using genetic dissection methods on the original measures and logically derived composites.

摘要

在一个由旷场实验箱、明暗箱、镜像箱、高架十字迷宫和高架方迷宫组成的测试组中,对1671只小鼠进行了测试,生成了超过100种推测的啮齿动物焦虑测量指标。对所有测量指标、综合测量指标和表型因子得分进行了数量性状基因座(QTL)分析。在17条染色体上发现了QTL的显著LOD得分,在染色体1、4、7、8、14、15、18和X上有大且一致的QTL行为效应。染色体4和8上的QTL在很大程度上影响家笼和新环境中的运动活动,而染色体1、15和18上的QTL影响焦虑相关行为。可以识别出五个遗传上可分离的、跨测试的焦虑维度:(i)在测试的低至中度致焦虑区域中运动活动的抑制;(ii)向高焦虑测试区域中花费的时间和活动比例相对减少的转变;(iii)站立行为的抑制;(iv)进入新区域的潜伏期增加;(v)排便和排尿评估的自主反应增加。QTL对跨测试综合得分的影响模式是独特的。例如,染色体1上的QTL强烈影响安全区域的运动活动(LOD = 35)和自主反应(LOD = 16),而染色体15上的QTL影响高焦虑区域的活动比例(LOD = 16)、进入新区域的潜伏期(LOD = 36)和站立行为(LOD = 57)。表型因子分析识别出主要加载在单个测试上的因子,而不是跨测试因子。在遗传分析之前使用因子分析或测试内主成分进行数据降维,不如对原始测量指标和逻辑推导的综合指标使用遗传剖析方法那样令人满意。

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