Gruber T M, Bryant D A
Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park 16802, USA.
J Bacteriol. 1997 Mar;179(5):1734-47. doi: 10.1128/jb.179.5.1734-1747.1997.
Sigma factors of the sigma70 family were used as a phylogenetic tool to compare evolutionary relationships among eubacteria. Several new sigma factor genes were cloned and sequenced to increase the variety of available sequences. Forty-two group 1 sigma factor sequences of various species were analyzed with the help of a distance matrix method to establish a phylogenetic tree. The tree derived by using sigma factors yielded subdivisions, including low-G+C and high-G+C gram-positive bacteria, cyanobacteria, and the alpha, beta, gamma, and delta subdivisions of proteobacteria, consistent with major bacterial groups found in trees derived from analyses with other molecules. However, some groupings (e.g., the chlamydiae, mycoplasmas, and green sulfur bacteria) are found in different positions than for trees obtained by using other molecular markers. A direct comparison to the most extensively used molecule in systematic studies, small-subunit rRNA, was made by deriving trees from essentially the same species set and using similar phylogenetic methods. Differences and similarities based on the two markers are discussed. Additionally, 31 group 2 sigma factors were analyzed in combination with the group 1 proteins in order to detect functional groupings of these alternative sigma factors. The data suggest that promoters recognized by the major vegetative sigma factors of eubacteria will contain sequence motifs and spacing very similar to those for the sigma70 sigma factors of Escherichia coli.
sigma70家族的sigma因子被用作一种系统发育工具,以比较真细菌之间的进化关系。克隆并测序了几个新的sigma因子基因,以增加可用序列的多样性。借助距离矩阵法分析了42种不同物种的第1组sigma因子序列,以建立系统发育树。使用sigma因子得出的树产生了细分,包括低G+C和高G+C革兰氏阳性菌、蓝细菌以及变形菌门的α、β、γ和δ亚群,这与使用其他分子分析得出的树中发现的主要细菌类群一致。然而,一些分类群(如衣原体、支原体和绿硫细菌)在树中的位置与使用其他分子标记获得的树不同。通过从基本相同的物种组中得出树并使用类似的系统发育方法,与系统研究中使用最广泛的分子小亚基rRNA进行了直接比较。讨论了基于这两种标记的差异和相似性。此外,将31个第2组sigma因子与第1组蛋白质结合进行分析,以检测这些替代sigma因子的功能分组。数据表明,真细菌主要营养sigma因子识别的启动子将包含与大肠杆菌sigma70 sigma因子非常相似的序列基序和间隔。