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首页> 外文会议>RECOMB 2004 International Workshop on Comparative Genomics(RCG 2004); 20041016-19; Bertinoro(IT) >The Distribution of Inversion Lengths in Bacteria
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The Distribution of Inversion Lengths in Bacteria

机译：细菌倒位长度的分布

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摘要

The distribution of the lengths of genomic segments inverted during the evolutionary divergence of two species cannot be inferred directly from the output of genome rearrangement algorithms, due to the rapid loss of signal from all but the shortest inversions. The number of short inversions produced by these algorithms, however, particularly those involving a single gene, is relatively reliable. To gain some insight into the shape of the inversion-length distribution we first apply a genome rearrangement algorithm to each of 32 pairs of bacterial genomes. For each pair we then simulate their divergence using a test distribution to generate the inversions and use the simulated genomes as input to the reconstruction algorithm. It is the comparison between the algorithm output for the real pair of genomes and the simulated pair which is used to assess the test distribution. We find that simulations based on the exponential distribution cannot provide a good fit, but that simulations based on a gamma distribution can account for both single-gene inversions and short inversions involving at most 20 genes, and we conclude that the shape of latter distribution corresponds well to the true distribution at least for small inversion lengths.
机译：由于除了最短反转外所有信号的快速丢失，无法从基因组重排算法的输出中直接推断出在两个物种进化趋异过程中反转的基因组片段长度的分布。这些算法产生的短反转的数量相对可靠，尤其是涉及单个基因的短反转。为了对反转长度分布的形状有一些了解，我们首先将基因组重排算法应用于32对细菌基因组中的每对。然后，对于每一对，我们使用测试分布来模拟它们的发散，以生成反演，并使用模拟的基因组作为重建算法的输入。这是真实基因组对与模拟对的算法输出之间的比较，用于评估测试分布。我们发现基于指数分布的模拟不能提供良好的拟合度，但是基于伽马分布的模拟可以解释涉及最多20个基因的单基因反转和短反转，并且我们得出结论，后者分布的形状与至少对于较小的反演长度而言，其分布与真实分布完全一致。

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