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Genome size is not correlated with effective population size in the oryza species

机译:基因组大小与稻种中的有效种群大小无关

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Genome sizes vary widely across the tree of life and the evolutionary mechanism underlined remains largely unknown. Lynch and Conery (2003) proposed that evolution of genome complexity was driven mainly by nonadaptive stochastic forces and presented the observation that genome size was negatively correlated with effective population size (N _e) as a strong support for their hypothesis. Here, we analyzed the relation between N _e and genome size for 10 diploid Oryza species that showed about fourfold genome size variation. Using sequences of more than 20 nuclear genes, we estimated N e for each species after correction for the effects of demography and heterogeneity of mutation rates among loci and species. Pairwise comparisons and correlation analyses did not detect a negative relationship between N _e and genome size despite about 6.5-fold interspecies N _e variation. By calculating phylogenetically independent contrasts (PICs) for N _e, we repeated correlation analysis and did not find any correlation between N _e and genome size. These observations suggest that the genome size variation in the Oryza species cannot be explained simply by the effect of effective population size.
机译:基因组的大小在生命之树上差异很大,强调的进化机制仍然未知。 Lynch和Conery(2003)提出,基因组复杂性的演化主要是由非自适应随机力驱动的,并提出了这样的观察:基因组大小与有效种群大小(N _e)负相关,这为他们的假设提供了有力的支持。在这里,我们分析了10种二倍体稻的N_e与基因组大小之间的关系,这些物种显示出大约四倍的基因组大小变化。使用超过20个核基因的序列,我们校正了人口统计学的影响以及基因座和物种之间突变率的异质性,从而估计了每个物种的N e。尽管种间N _e变异约为6.5倍,但成对比较和相关分析并未发现N _e与基因组大小之间存在负相关关系。通过计算N_e的系统发育独立对比(PIC),我们重复了相关分析,但未发现N_e与基因组大小之间有任何相关性。这些观察结果表明,不能简单地通过有效种群大小的影响来解释稻属物种中基因组大小的变化。

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