Sanglas Ariadna, Albarral Vicenta, Farfán Maribel, Lorén J G, Fusté M C
Departament de Biologia, Sanitat i Medi Ambient, Secció de Microbiologia, Facultat de Farmàcia i Ciències de l'Alimentació, Universitat de Barcelona Barcelona, Spain.
Departament de Biologia, Sanitat i Medi Ambient, Secció de Microbiologia, Facultat de Farmàcia i Ciències de l'Alimentació, Universitat de BarcelonaBarcelona, Spain; Institut de Recerca de la Biodiversitat, Universitat de BarcelonaBarcelona, Spain.
Front Microbiol. 2017 Feb 8;8:127. doi: 10.3389/fmicb.2017.00127. eCollection 2017.
Despite the importance of diversification rates in the study of prokaryote evolution, they have not been quantitatively assessed for the majority of microorganism taxa. The investigation of evolutionary patterns in prokaryotes constitutes a challenge due to a very scarce fossil record, limited morphological differentiation and frequently complex taxonomic relationships, which make even species recognition difficult. Although the speciation models and speciation rates in eukaryotes have traditionally been established by analyzing the fossil record data, this is frequently incomplete, and not always available. More recently, several methods based on molecular sequence data have been developed to estimate speciation and extinction rates from phylogenies reconstructed from contemporary taxa. In this work, we determined the divergence time and temporal diversification of the genus by applying these methods widely used with eukaryotic taxa. Our analysis involved 150 strains using the concatenated sequences of two housekeeping genes (approximately 2,000 bp). Dating and diversification model analyses were performed using two different approaches: obtaining the consensus sequence from the concatenated sequences corresponding to all the strains belonging to the same species, or generating the species tree from multiple alignments of each gene. We used BEAST to perform a Bayesian analysis to estimate both the phylogeny and the divergence times. A global molecular clock cannot be assumed for any gene. From the chronograms obtained, we carried out a diversification analysis using several approaches. The results suggest that the genus began to diverge approximately 250 millions of years (Ma) ago. All methods used to determine diversification gave similar results, suggesting that the speciation process in this bacterial genus followed a rate-constant (Yule) diversification model, although there is a small probability that a slight deceleration occurred in recent times. We also determined the constant of diversification (λ) values, which in all cases were very similar, about 0.01 species/Ma, a value clearly lower than those described for different eukaryotes.
尽管多样化速率在原核生物进化研究中很重要,但对于大多数微生物分类群而言,它们尚未得到定量评估。由于化石记录非常稀少、形态分化有限且分类关系常常复杂,这使得原核生物进化模式的研究颇具挑战,甚至物种识别都很困难。虽然传统上真核生物的物种形成模型和物种形成速率是通过分析化石记录数据来确定的,但这些数据常常不完整,且并非总是可得。最近,已经开发了几种基于分子序列数据的方法,用于从当代分类群重建的系统发育中估计物种形成和灭绝速率。在这项工作中,我们通过应用这些广泛用于真核生物分类群的方法,确定了该属的分歧时间和时间上的多样化情况。我们的分析涉及150个菌株,使用了两个管家基因的串联序列(约2000 bp)。使用两种不同的方法进行了年代测定和多样化模型分析:从属于同一物种的所有菌株对应的串联序列中获取一致序列,或者从每个基因的多序列比对中生成物种树。我们使用BEAST进行贝叶斯分析,以估计系统发育和分歧时间。不能假定任何基因都存在全局分子钟。从获得的时间树中,我们使用几种方法进行了多样化分析。结果表明,该属大约在2.5亿年前开始分化。所有用于确定多样化的方法都给出了相似的结果,这表明该细菌属的物种形成过程遵循速率恒定(尤尔)多样化模型,尽管最近有小概率出现轻微减速。我们还确定了多样化常数(λ)值,在所有情况下这些值都非常相似,约为0.01种/百万年,该值明显低于针对不同真核生物所描述的值。