A search for quantitative trait loci controlling within-individual variation of physical activity traits in mice.
A search for quantitative trait loci controlling within-individual variation of physical activity traits in mice.
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DOI：
10.1186/1471-2156-11-83
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发表时间：
2010-09-21
期刊：
影响因子：
2.9
通讯作者：
Lightfoot JT
中科院分区：
文献类型：
--
作者：
Leamy LJ;Pomp D;Lightfoot JT
近年来，越来越明显的是，缺乏体育锻炼会使个人容易患上一系列健康问题。虽然许多研究分析了各种环境因素对运动的影响，但我们对体力活动的遗传控制知之甚少。在小鼠身上的一些研究已经发现了影响各种体力活动特征的数量性状基因座(QTL)，但大多数都是分析个体间的差异，而不是个体内活动随时间的变化。我们进行了基因组扫描，以在由两个在活动水平上存在很大差异(平均接近300%)的近交系(C57L/J和C3H/HeJ)杂交而成的F2群体中，在七个连续三天的间隔内识别控制老鼠跑的距离、持续时间和时间的QTL。我们的目标是(A)看看我们是否会发现在之前的一次调查中最初没有发现的QTL，该调查在整个21天的时间段内评估了这些特征，以及(B)看看这些发现的QTL中是否有一些可能只在早期或后期影响活动特征。这一分析发现了39个不同的QTL，其中一半以上是新的。有些QTL只在早期影响活动性状，表现出显着的显性效应，而另一些QTL只影响后期的活动，显性较小。我们还分析了这些区间内活动性状的回归斜率，发现了几个影响这些性状的QTL，这些QTL通常定位于独特的基因组位置。结论是，小鼠体力活动的遗传结构比以前认识到的要复杂得多，而且可能会根据评估各种活动措施的年龄而发生很大变化。
In recent years it has become increasingly apparent that physical inactivity can predispose individuals to a host of health problems. While many studies have analyzed the effect of various environmental factors on activity, we know much less about the genetic control of physical activity. Some studies in mice have discovered quantitative trait loci (QTL) influencing various physical activity traits, but mostly have analyzed inter-individual variation rather than variation in activity within individuals over time. We conducted a genome scan to identify QTLs controlling the distance, duration, and time run by mice over seven consecutive three-day intervals in an F2 population created by crossing two inbred strains (C57L/J and C3H/HeJ) that differed widely (average of nearly 300%) in their activity levels. Our objectives were (a) to see if we would find QTLs not originally discovered in a previous investigation that assessed these traits over the entire 21-day period and (b) to see if some of these QTLs discovered might affect the activity traits only in the early or in the late time intervals. This analysis uncovered 39 different QTLs, over half of which were new. Some QTLs affected the activity traits only in the early time intervals and typically exhibited significant dominance effects whereas others affected activity only in the later age intervals and exhibited less dominance. We also analyzed the regression slopes of the activity traits over the intervals, and found several QTLs affecting these traits that generally mapped to unique genomic locations. It was concluded that the genetic architecture of physical activity in mice is much more complicated than has previously been recognized, and may change considerably depending on the age at which various activity measures are assessed.
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影响因子：
3.8
作者：
HALEY, CS;KNOTT, SA
通讯作者：
KNOTT, SA
DOI：
10.1111/j.1600-0838.2007.00762.x
发表时间：
2009-02-01
影响因子：
4.1
作者：
Nilsson, A.;Anderssen, S. A.;Ekelund, U.
通讯作者：
Ekelund, U.
DOI：
10.1186/1297-9686-41-41
发表时间：
2009-09-23
期刊：
Genetics, selection, evolution : GSE
影响因子：
--
作者：
Leamy LJ;Pomp D;Lightfoot JT
通讯作者：
Lightfoot JT
影响因子：
2.5
作者：
Milner, L. C.;Crabbe, J. C.
通讯作者：
Crabbe, J. C.
影响因子：
2.6
作者：
Eriksson, M;Rasmussen, F;Tynelius, P
通讯作者：
Tynelius, P