Flandrois Jean-Pierre, Perrière Guy, Gouy Manolo
Laboratoire de Biométrie et Biologie Evolutive, UMR CNRS 5558, Université Claude Bernard - Lyon 1, 43 bd. du 11 Novembre 1918, Villeurbanne, 69622, France.
BMC Bioinformatics. 2015 Aug 12;16(1):251. doi: 10.1186/s12859-015-0692-z.
Estimating the phylogenetic position of bacterial and archaeal organisms by genetic sequence comparisons is considered as the gold-standard in taxonomy. This is also a way to identify the species of origin of the sequence. The quality of the reference database used in such analyses is crucial: the database must reflect the up-to-date bacterial nomenclature and accurately indicate the species of origin of its sequences.
leBIBI(QBPP) is a web tool taking as input a series of nucleotide sequences belonging to one of a set of reference markers (e.g., SSU rRNA, rpoB, groEL2) and automatically retrieving closely related sequences, aligning them, and performing phylogenetic reconstruction using an approximate maximum likelihood approach. The system returns a set of quality parameters and, if possible, a suggested taxonomic assigment for the input sequences. The reference databases are extracted from GenBank and present four degrees of stringency, from the "superstringent" degree (one type strain per species) to the loosely parsed degree ("lax" database). A set of one hundred to more than a thousand sequences may be analyzed at a time. The speed of the process has been optimized through careful hardware selection and database design.
leBIBI(QBPP) is a powerful tool helping biologists to position bacterial or archaeal sequence commonly used markers in a phylogeny. It is a diagnostic tool for clinical, industrial and environmental microbiology laboratory, as well as an exploratory tool for more specialized laboratories. Its main advantages, relatively to comparable systems are: i) the use of a broad set of databases covering diverse markers with various degrees of stringency; ii) the use of an approximate Maximum Likelihood approach for phylogenetic reconstruction; iii) a speed compatible with on-line usage; and iv) providing fully documented results to help the user in decision making.
通过基因序列比较来估计细菌和古菌生物的系统发育位置被视为分类学中的黄金标准。这也是识别序列起源物种的一种方法。此类分析中使用的参考数据库的质量至关重要:该数据库必须反映最新的细菌命名法,并准确指出其序列的起源物种。
leBIBI(QBPP)是一个网络工具,它以属于一组参考标记(如小亚基核糖体RNA、rpoB、groEL2)之一的一系列核苷酸序列作为输入,并自动检索密切相关的序列,将它们进行比对,并使用近似最大似然法进行系统发育重建。该系统返回一组质量参数,并在可能的情况下为输入序列提供建议的分类学归属。参考数据库是从GenBank中提取的,呈现出从“超严格”程度(每个物种一个模式菌株)到宽松解析程度(“宽松”数据库)的四个严格程度级别。一次可以分析一组一百到一千多个序列。通过精心的硬件选择和数据库设计,该过程的速度已得到优化。
leBIBI(QBPP)是一个强大的工具,可帮助生物学家在系统发育中定位细菌或古菌序列常用的标记。它是临床、工业和环境微生物学实验室的诊断工具,也是更专业实验室的探索工具。相对于同类系统而言其主要优点是:i)使用了广泛的数据库,涵盖具有不同严格程度的各种标记;ii)使用近似最大似然法进行系统发育重建;iii)速度与在线使用兼容;iv)提供充分记录的结果以帮助用户进行决策。