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The mutational structure of metabolism in Caenorhabditis elegans

机译:秀丽隐杆线虫的代谢突变结构

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A properly functioning organism must maintain metabolic homeostasis. Deleterious mutations degrade organismal function, presumably at least in part via effects on metabolic function. Here we present an initial investigation into the mutational structure of the Caenorhabditis elegans metabolome by means of a mutation accumulation experiment. We find that pool sizes of 29 metabolites vary greatly in their vulnerability to mutation, both in terms of the rate of accumulation of genetic variance (the mutational variance, VM) and the rate of change of the trait mean (the mutational bias, Delta M). Strikingly, some metabolites are much more vulnerable to mutation than any other trait previously studied in the same way. Although we cannot statistically assess the strength of mutational correlations between individual metabolites, principal component analysis provides strong evidence that some metabolite pools are genetically correlated, but also that there is substantial scope for independent evolution of different groups of metabolites. Averaged over mutation accumulation lines, PC3 is positively correlated with relative fitness, but a model in which metabolites are uncorrelated with fitness is nearly as good by Akaike's Information Criterion.
机译:机能正常的生物必须维持代谢稳态。有害的突变可能至少部分地通过对代谢功能的影响来降低机体功能。在这里,我们通过突变积累实验对秀丽隐杆线虫代谢组的突变结构进行了初步研究。我们发现29种代谢物的库大小在其对突变的脆弱性方面差异很大,无论是遗传方差的累积速率(突变方差,VM)还是特征均值的变化速率(突变偏倚,Delta M )。令人惊讶的是,某些代谢物比以前以相同方式研究过的其他任何性状都更容易发生突变。尽管我们无法从统计学上评估各个代谢物之间突变相关性的强度,但主成分分析提供了有力的证据,表明某些代谢物库具有遗传相关性,而且不同代谢物组的独立进化存在很大的空间。在突变累积谱线上平均,PC3与相对适应度呈正相关,但是根据Akaike的信息标准,代谢产物与适应度不相关的模型几乎一样。

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