Martinez-Gutierrez Carolina A, Aylward Frank O
Department of Biological Sciences, Virginia Tech, Blacksburg, Virginia, United States of America.
Center for Emerging, Zoonotic, and Arthropod-borne Pathogens, Virginia Tech, Blacksburg, Virginia, United States of America.
PLoS Genet. 2022 May 23;18(5):e1010220. doi: 10.1371/journal.pgen.1010220. eCollection 2022 May.
The evolutionary forces that determine genome size in bacteria and archaea have been the subject of intense debate over the last few decades. Although the preferential loss of genes observed in prokaryotes is explained through the deletional bias, factors promoting and preventing the fixation of such gene losses often remain unclear. Importantly, statistical analyses on this topic typically do not consider the potential bias introduced by the shared ancestry of many lineages, which is critical when using species as data points because of the potential dependence on residuals. In this study, we investigated the genome size distributions across a broad diversity of bacteria and archaea to evaluate if this trait is phylogenetically conserved at broad phylogenetic scales. After model fit, Pagel's lambda indicated a strong phylogenetic signal in genome size data, suggesting that the diversification of this trait is influenced by shared evolutionary histories. We used a phylogenetic generalized least-squares analysis (PGLS) to test whether phylogeny influences the predictability of genome size from dN/dS ratios and 16S copy number, two variables that have been previously linked to genome size. These results confirm that failure to account for evolutionary history can lead to biased interpretations of genome size predictors. Overall, our results indicate that although bacteria and archaea can rapidly gain and lose genetic material through gene transfers and deletions, respectively, phylogenetic signal for genome size distributions can still be recovered at broad phylogenetic scales that should be taken into account when inferring the drivers of genome size evolution.
在过去几十年里,决定细菌和古菌基因组大小的进化力量一直是激烈争论的主题。尽管原核生物中观察到的基因优先丢失现象可以通过缺失偏向来解释,但促进和阻止此类基因丢失固定的因素往往仍不明确。重要的是,关于这个主题的统计分析通常没有考虑到许多谱系共同祖先所引入的潜在偏差,当将物种用作数据点时,由于可能依赖残差,这一点至关重要。在本研究中,我们调查了广泛多样的细菌和古菌的基因组大小分布,以评估该性状在广泛的系统发育尺度上是否在系统发育上保守。在模型拟合后,佩格尔的λ值表明基因组大小数据中存在强烈的系统发育信号,这表明该性状的多样化受到共同进化历史的影响。我们使用系统发育广义最小二乘法分析(PGLS)来测试系统发育是否会影响从非同义/同义替换率(dN/dS)和16S拷贝数这两个先前与基因组大小相关的变量来预测基因组大小的能力。这些结果证实,不考虑进化历史会导致对基因组大小预测因子的偏差解释。总体而言,我们的结果表明,尽管细菌和古菌可以分别通过基因转移和缺失快速获得和丢失遗传物质,但在广泛的系统发育尺度上仍可恢复基因组大小分布的系统发育信号,在推断基因组大小进化的驱动因素时应考虑这一点。