The All-Species Living Tree project: a 16S rRNA-based phylogenetic tree of all sequenced type strains

The signing authors together with the journal Systematic and Applied Microbiology (SAM) have started an ambitious project that has been conceived to provide a useful tool especially for the scientific microbial taxonomist community. The aim of what we have called "The All-Species Living Tree" is to reconstruct a single 16S rRNA tree harboring all sequenced type strains of the hitherto classified species of Archaea and Bacteria. This tree is to be regularly updated by adding the species with validly published names that appear monthly in the Validation and Notification lists of the International Journal of Systematic and Evolutionary Microbiology. For this purpose, the SAM executive editors, together with the responsible teams of the ARB, SILVA, and LPSN projects (www.arb-home.de, www.arb-silva.de, and www.bacterio.cict.fr, respectively), have prepared a 16S rRNA database containing over 6700 sequences, each of which represents a single type strain of a classified species up to 31 December 2007. The selection of sequences had to be undertaken manually due to a high error rate in the names and information fields provided for the publicly deposited entries. In addition, from among the often occurring multiple entries for a single type strain, the best-quality sequence was selected for the project. The living tree database that SAM now provides contains corrected entries and the best-quality sequences with a manually checked alignment. The tree reconstruction has been performed by using the maximum likelihood algorithm RAxML. The tree provided in the first release is a result of the calculation of a single dataset containing 9975 single entries, 6728 corresponding to type strain gene sequences, as well as 3247 additional high-fquality sequences to give robustness to the reconstruction. Trees are dynamic structures that change on the basis of the quality and availability of the data used for their calculation. Therefore, the addition of new type strain sequences in further subsequent releases may help to resolve certain branching orders that appear ambiguous in this first release. On the web sites: www.elsevier.de/syapm and www.arb-silva.de/living-tree, the All-Species Living Tree team will release a regularly updated database compatible with the ARB software environment containing the whole 16S rRNA dataset used to reconstruct "The All-Species Living Tree". As a result, the latest reconstructed phylogeny will be provided. In addition to the ARB file, a readable multi-FASTA universal sequence editor file with the complete alignment will be provided for those not using ARB. There is also a complete set of supplementary tables and figures illustrating the selection procedure and its outcome. It is expected that the All-Species Living Tree will help to improve future classification efforts by simplifying the selection of the correct type strain sequences. For queries, information updates, remarks on the dataset or tree reconstructions shown, a contact email address has been created (living-tree@arb-silva.de). This provides an entry point for anyone from the scientific community to provide additional input for the construction and improvement of the first tree compiling all sequenced type strains of all prokaryotic species for which names had been validly published.     

16S rRNA gene and 16S-23S rRNA gene internal transcribed spacer sequences analysis of the genus Myxococcus.

Phylogenetic relationships of the species belonging to the genus Myxococcus were elucidated based on the sequences of 16S rRNA genes and 16S-23S rRNA gene internal transcribed spacer (ITS) regions. The Myxococcus species were consequently classified into four distinct groups. The type strain of Myxococcus coralloides occupied an independent position (Group 1); it has been recently reclassified as Corallococcus coralloides. Group 2 comprised the type strains of both Myxococcus virescens and Myxococcus xanthus, and some strains assigned to Myxococcus flavescens. The type strain of M. flavescens was contained in Group 3 along with the strains of Myxococcus fulvus. Group 4 included the strains belonging to C. coralloides, M. fulvus, and M. stipitatus. The type strain of M. fulvus that was allocated outside Group 4 in the 16S rRNA gene tree belonged to Group 3 in the ITS tree. These results strongly suggest that the morphological characteristics of Myxococcus species are not consistent with the phylogenetic relationships. The Myxococcus species must therefore be redefined according to the phylogenetic relationships revealed in this study.     

metaxa2: improved identification and taxonomic classification of small and large subunit rRNA in metagenomic data

The ribosomal rRNA genes are widely used as genetic markers for taxonomic identification of microbes. Particularly the small subunit (SSU; 16S/18S) rRNA gene is frequently used for species‐ or genus‐level identification, but also the large subunit (LSU; 23S/28S) rRNA gene is employed in taxonomic assignment. The metaxa software tool is a popular utility for extracting partial rRNA sequences from large sequencing data sets and assigning them to an archaeal, bacterial, nuclear eukaryote, mitochondrial or chloroplast origin. This study describes a comprehensive update to metaxa – metaxa 2 – that extends the capabilities of the tool, introducing support for the LSU rRNA gene, a greatly improved classifier allowing classification down to genus or species level, as well as enhanced support for short‐read (100 bp) and paired‐end sequences, among other changes. The performance of metaxa 2 was compared to other commonly used taxonomic classifiers, showing that metaxa 2 often outperforms previous methods in terms of making correct predictions while maintaining a low misclassification rate. metaxa 2 is freely available from http://microbiology.se/software/metaxa2/ .     

基于ITS序列的栓菌属部分种的分子分类初步研究

栓菌属 Trametes 的一些近缘种宏观和微观形态学非常相近,传统分类学方法难于对其进行准确分类定位。测定了 34 个分类单元的 ITS(包括 5.8SrDNA)序列,并对得到的 43 个分类单元的 ITS 序列进行系统发生分析,构建了聚类分析树状图。该树状图显示,栓菌属类群与其他属类群明显分开,Trametes versicolor 聚类到一个高支持率的独立分支。形态学上定名为 T. hirsuta 和 T. pubescens 物种聚类到同一高支持率的独立分支,试验分析表明这两个种应视为同一物种。     

RNA polymerase beta subunit (rpoB) gene and the 16S-23S rRNA intergenic transcribed spacer region (ITS) as complementary molecular markers in addition to the 16S rRNA gene for phylogenetic analysis and identification of the species of the family Mycoplasmataceae

Conventional classification of the species in the family Mycoplasmataceae is mainly based on phenotypic criteria, which are complicated, can be difficult to measure, and have the potential to be hampered by phenotypic deviations among the isolates. The number of biochemical reactions suitable for phenotypic characterization of the Mycoplasmataceae is also very limited and therefore the strategy for the final identification of the Mycoplasmataceae species is based on comparative serological results. However, serological testing of the Mycoplasmataceae species requires a performance panel of hyperimmune sera which contains anti-serum to each known species of the family, a high level of technical expertise, and can only be properly performed by mycoplasma-reference laboratories. In addition, the existence of uncultivated and fastidious Mycoplasmataceae species/isolates in clinical materials significantly complicates, or even makes impossible, the application of conventional bacteriological tests. The analysis of available genetic markers is an additional approach for the primary identification and phylogenetic classification of cultivable species and uncultivable or fastidious organisms in standard microbiological laboratories. The partial nucleotide sequences of the RNA polymerase β-subunit gene (rpoB) and the 16S-23S rRNA intergenic transcribed spacer (ITS) were determined for all known type strains and the available non-type strains of the Mycoplasmataceae species. In addition to the available 16S rRNA gene data, the ITS and rpoB sequences were used to infer phylogenetic relationships among these species and to enable identification of the Mycoplasmataceae isolates to the species level. The comparison of the ITS and rpoB phylogenetic trees with the 16S rRNA reference phylogenetic tree revealed a similar clustering patterns for the Mycoplasmataceae species, with minor discrepancies for a few species that demonstrated higher divergence of their ITS and rpoB in comparison to their neighbor species. Overall, our results demonstrated that the ITS and rpoB gene could be useful complementary phylogenetic markers to infer phylogenetic relationships among the Mycoplasmataceae species and provide useful background information for the choice of appropriate metabolic and serological tests for the final classification of isolates. In summary, three-target sequence analysis, which includes the ITS, rpoB, and 16S rRNA genes, was demonstrated to be a reliable and useful taxonomic tool for the species differentiation within the family Mycoplasmataceae based on their phylogenetic relatedness and pairwise sequence similarities. We believe that this approach might also become a valuable tool for routine analysis and primary identification of new isolates in medical and veterinary microbiological laboratories.     

ITS2 database IV: interactive taxon sampling for internal transcribed spacer 2 based phylogenies

The first step of any molecular phylogenetic analysis is the selection of the species and sequences to be included, the taxon sampling. Already here different pitfalls exist. Sequences can contain errors, annotations in databases can be inaccurate and even the taxonomic classification of a species can be wrong. Usually, these artefacts become evident only after calculation of the phylogenetic tree. Following, the taxon sampling has to be corrected iteratively. This can become tedious and time consuming, as in most cases the taxon sampling is de-coupled from the further steps of the phylogenetic analysis. Here, we present the ITS2 Workbench (http://its2.bioapps.biozentrum.uni-wuerzburg.de/), which eliminates this problem by a tight integration of taxon sampling, secondary structure prediction, multiple alignment and phylogenetic tree calculation. The ITS2 Workbench has access to more than 280,000 ITS2 sequences and their structures provided by the ITS2 database enabling sequence-structure based alignment and tree reconstruction. This allows the interactive improvement of the taxon sampling throughout the whole phylogenetic tree reconstruction process. Thus, the ITS2 Workbench enables a fast, interactive and iterative taxon sampling leading to more accurate ITS2 based phylogenies.     

Candida dajiaensis sp. nov., Candida yuanshanicus sp. nov., Candida jianshihensis sp. nov., and Candida sanyiensis sp. nov., four anamorphic, ascomycetous yeast species isolated from soil in Taiwan

Nine anamorphic, ascomycetous yeast strains belonging to the Pichia anomala clade were recovered from forest soil in 2006 in Taiwan. The nine yeast strains represent four novel yeast species based on the sequences of their D1/D2 domain of the large subunit (LSU) rRNA gene and their physiological characteristics. The scientific names of Candida dajiaensis sp. nov., Candida yuanshanicus sp. nov., Candida jianshihensis sp. nov., and Candida sanyiensis sp. nov. are proposed for these novel yeast species. The type strains are C. dajiaensis SM11S03(T) (=CBS 10590(T)=BCRC 23099(T)), C. yuanshanicus SY3S02(T) (=CBS 10589(T)=BCRC 23100(T)), C. jianshihensis SM8S04(T) (=CBS 10591(T)=BCRC 23096(T)), and C. sanyiensis SA1S06(T) (=CBS 10592(T)=BCRC 23094(T)). Sequence analysis of the D1/D2 of the LSU rRNA gene revealed that the three species, C. dajiaensis, C. yuanshanicus and Pichia onychis, shared a separate branch in the phylogenetic tree, C. jianshihensis is phylogenetically related to Candida ulmi and Pichia alni, and the phylogenetically closest relative of C. sanyiensis is Pichia populi.     

Secondary structure prediction for complete rDNA sequences (18S, 5.8S,and 28S rDNA) of Demodex folliculorum, and comparison of divergent domains structures across Acari

According to base pairing, the rRNA folds into corresponding secondary structures, which contain additional phylogenetic information. On the basis of sequencing for complete rDNA sequences (18S, ITS1, 5.8S, ITS2 and 28S rDNA) of Demodex, we predicted the secondary structure of the complete rDNA sequence (18S, 5.8S, and 28S rDNA) of Demodex folliculorum, which was in concordance with that of the main arthropod lineages in past studies. And together with the sequence data from GenBank, we also predicted the secondary structures of divergent domains in SSU rRNA of 51 species and in LSU rRNA of 43 species from four superfamilies in Acari (Cheyletoidea, Tetranychoidea, Analgoidea and Ixodoidea). The multiple alignment among the four superfamilies in Acari showed that, insertions from Tetranychoidea SSU rRNA formed two newly proposed helixes, and helix c3-2b of LSU rRNA was absent in Demodex (Cheyletoidea) taxa. Generally speaking, LSU rRNA presented more remarkable differences than SSU rRNA did, mainly in D2, D3, D5, D7a, D7b, D8 and D10.     

Chimerical nature of the ribosomal RNA gene of a Nosema species

Taxonomic resolution of the Nosema/Vairimorpha clade has been augmented with DNA sequences of the small subunit (SSU) and large subunit (LSU) ribosomal RNA (rRNA) and the arrangement of SSU and LSU. Based on the two characteristics, the clade is largely divided into two, i.e. ‘true’ Nosema sub-group and non-‘true’ Nosema sub-group within the clade. Our study shows that a novel Nosema species isolated from Pieris rapae has mixed characteristics of the ‘true’ and non-‘true’ Nosema sub-group based on the topology of SSU and LSU sequences. To our knowledge, this may be the first case of the incongruent phylogenetic placement of SSU and LSU in the Nosema/Vairimorpha clade. Additionally, the length of internal transcribed spacer (ITS) can be a diagnostic tool to distinguish ‘true’ Nosema from non-’true’ Nosema in the Nosema/Vairimorpha clade based on its nucleotide length as reported before.     

ITS2, 18S, 16S or any other RNA — simply aligning sequences and their individual secondary structures simultaneously by an automatic approach

Secondary structures of RNA sequences are increasingly being used as additional information in reconstructing phylogenies and/or in distinguishing species by compensatory base change (CBC) analyses. However, in most cases just one secondary structure is used in manually correcting an automatically generated multiple sequence alignment and/or just one secondary structure is used in guiding a sequence alignment still completely generated by hand. With the advent of databases and tools offering individual RNA secondary structures, here we re-introduce a twelve letter code already implemented in 4SALE – a tool for synchronous sequence and secondary structure alignment and editing – that enables one to align RNA sequences and their individual secondary structures synchronously and fully automatic, while dramatically increasing the phylogenetic information content. We further introduce a scaled down non-GUI version of 4SALE particularly designed for big data analysis, and available at: http://4sale.bioapps.biozentrum.uni-wuerzburg.de.     

A further phylogenetic study of the heterotrophic dinoflagellate genus, Protoperidinium (Dinophyceae) based on small and large subunit ribosomal RNA gene sequences

The heterotrophic marine dinoflagellate genus Protoperidinium is the largest genus in the Dinophyceae. Previously, we reported on the intrageneric and intergeneric phylogenetic relationships of 10 species of Protoperidinium, from four sections, based on small subunit (SSU) rDNA sequences. The present paper reports on the impact of data from an additional 5 species and, therefore, an additional two sections, using the SSU rDNA data, but now also incorporating sequence data from the large subunit (LSU) rDNA. These sequences, in isolation and in combination, were used to reconstruct the evolutionary history of the genus. The LSU rDNA trees support a monophyletic genus, but the phylogenetic position within the Dinophyceae remains ambiguous. The SSU, LSU and SSU + LSU rDNA phylogenies support monophyly in the sections Avellana, Divergentia, Oceanica and Protoperidinium, but the section Conica is paraphyletic. Therefore, the concept of discrete taxonomic sections based on the shape of 1′ plate and 2a plate is upheld by molecular phylogeny. Furthermore, the section Oceanica is indicated as having an early divergence from other groups within the genus. The sections Avellana and Excentrica and a clade combining the sections Divergentia/Protoperidinium derived from Conica‐type dinoflagellates independently. Analysis of the LSU rDNA data resulted in the same phylogeny as that obtained using SSU rDNA data and, with increased taxon sampling, including members of new sections, a clearer idea of the evolution of morphological features within the genus Protoperidinium was obtained. Intraspecific variation was found in Protoperidinium conicum (Gran) Balech, Protoperidinium excentricum (Paulsen) Balech and Protoperidinium pellucidum Bergh based on SSU rDNA data and also in Protoperidinium claudicans (Paulsen) Balech, P. conicum and Protoperidinium denticulatum (Gran et Braarud) Balech based on LSU rDNA sequences. The common occurrence of base pair substitutions in P. conicum is indicative of the presence of cryptic species.     

MALDI-TOF MS与16S rDNA方法对弧菌科微生物的鉴定与系统分类学分析

目的 比较基质辅助激光解吸电离飞行时间质谱（MALDI-TOF MS）与16S rDNA方法对弧菌科微生物的鉴定及系统分类学分析能力。方法 对19株弧菌科微生物,采用MALDI-TOF MS进行蛋白质图谱采集,通过对特征峰的分析,实现对微生物的鉴定和系统分类学分析;同时对19株微生物进行16S rDNA测序,用邻接法对16S rDNA序列进行鉴定和系统分类学分析,比较两种方法在弧菌科微生物鉴定和系统分类学分析中的异同。结果 两种方法对19株弧菌科微生物的种属鉴定结果一致。系统分类学分析中,多株同种属的弧菌的两种方法分析结果一致,但对拟态弧菌和霍乱弧菌在树状图中的位置和亲缘关系,两种方法差异较大。结论 MALDI-TOF MS与16S rDNA均能够快速准确地鉴定弧菌科微生物,但利用MALDI-TOF MS进行系统分类学分析还有待数据库的扩大及算法的优化。     

Cyanoseq: A database of cyanobacterial 16S rRNA gene sequences with curated taxonomy

Cyanobacteria are photosynthetic bacteria that occupy various habitats across the globe, playing critical roles in many of Earth's biogeochemical cycles both in both aquatic and terrestrial systems. Despite their well-known significance, their taxonomy remains problematic and is the subject of much research. Taxonomic issues of Cyanobacteria have consequently led to inaccurate curation within known reference databases, ultimately leading to problematic taxonomic assignment during diversity studies. Recent advances in sequencing technologies have increased our ability to characterize and understand microbial communities, leading to the generation of thousands of sequences that require taxonomic assignment. We herein propose CyanoSeq ( https://zenodo.org/record/7569105 ), a database of cyanobacterial 16S rRNA gene sequences with curated taxonomy. The taxonomy of CyanoSeq is based on the current state of cyanobacterial taxonomy, with ranks from the domain to genus level. Files are provided for use with common naive Bayes taxonomic classifiers, such as those included in DADA2 or the QIIME2 platform. Additionally, FASTA files are provided for creation of de novo phylogenetic trees with (near) full-length 16S rRNA gene sequences to determine the phylogenetic relationship of cyanobacterial strains and/or ASV/OTUs. The database currently consists of 5410 cyanobacterial 16S rRNA gene sequences along with 123 Chloroplast, Bacterial, and Vampirovibrionia (formally Melainabacteria) sequences.     

Medicago species affect the community composition of arbuscular mycorrhizal fungi associated with roots

Sequencing of the 5' end of the large ribosomal subunit (LSU rDNA) and quantitative polymerase chain reaction (qPCR) were combined to assess the impact of four annual Medicago species (Medicago laciniata, Medicago murex, Medicago polymorpha and Medicago truncatula) on the genetic diversity of arbuscular mycorrhizal (AM) fungi, and on the relative abundance of representative AM fungal genotypes, in a silty-thin clay soil (Mas d'Imbert, France). Two hundred and forty-six Glomeromycete LSU rDNA sequences from the four plant species and the bulk soil were analysed. The high bootstrap values of the phylogenetic tree obtained allowed the delineation of 12 operational taxonomic units (OTUs), all belonging to Glomus. Specific primers targeting Glomeromycetes and major OTUs were applied to quantify their abundance by qPCR. Glomeromycetes and targeted OTUs were significantly more abundant in the root tissues than in the bulk soil, and the frequencies of three of them differed significantly in the root tissues of the different plant species. These differences indicate that, despite the absence of strict host specificity in mycorrhizal symbiosis, there was a preferential association between some AM fungal and plant genotypes.     

Implications of complete nuclear large subunit ribosomal RNA molecules from the harmful unarmored dinoflagellate Cochlodinium polykrikoides (Dinophyceae) and relatives

The D1/D2 domains of large subunit (LSU) rDNA have commonly been used for phylogenetic analyses of dinoflagellates; however, their properties have not been evaluated in relation to other D domains due to a deficiency of complete sequences. This study reports the complete LSU rRNA gene sequence in the causative unarmored dinoflagellate Cochlodinium polykrikoides, a member of the order Gymnodiniales, and evaluated the segmented domains and secondary structures when compared with its relatives. Putative LSU rRNA coding regions were recorded to be 3433 bp in length (49.0% GC content). A secondary structure predicted from the LSU and 5.8S rRNAs and parsimony analyses showed that most variation in the LSU rDNA was found in the 12 divergent (D) domains. In particular, the D2 domain was the most informative in terms of recent evolutional and taxonomic aspects, when compared with both the phylogenetic tree topologies and molecular distance (approximately 10 times higher) of the core LSU. Phylogenetic analysis was performed with a matrix of LSU DNA sequences selected from domains D2 to D4 and their flanking core sequences, which showed that C. polykrikoides was placed on the same branch with Akashiwo sanguinea in the “GPP” complex, which is referred to the gymnodinioid, peridinioid and prorocentroid groups. A broad phylogeny showed that armored and unarmored dinoflagellates were never clustered together; instead, they were clearly divided into two groups: the GPP complex and Gonyaulacales. The members of Gymnodiniales were always interspersed with peridinioid, prorocentroid and dinophysoid forms. This supports previous findings showing that the Gymnodiniales are polyphyletic. This study highlights the proper selection of LSU rDNA molecules for molecular phylogeny and signatures.     

Evolution according to large ribosomal subunit RNA

Evolutionary trees were constructed, by distance methods, from an alignment of 225 complete large subunit (LSU) rRNA sequences, representing Eucarya, Archaea, Bacteria, plastids, and mitochondria. A comparison was made with trees based on sets of small subunit (SSU) rRNA sequences. Trees constructed on the set of 172 species and organelles for which the sequences of both molecules are known had a very similar topology, at least with respect to the divergence order of large taxa such as the eukaryotic kingdoms and the bacterial divisions. However, since there are more than ten times as many SSU as LSU rRNA sequences, it is possible to select many SSU rRNA sequence sets of equivalent size but different species composition. The topologies of these trees showed considerable differences according to the particular species set selected.The effect of the dataset and of different distance correction methods on tree topology was tested for both LSU and SSU rRNA by repetitive random sampling of a single species from each large taxon. The impact of the species set on the topology of the resulting consensus trees is much lower using LSU than using SSU rRNA. This might imply that LSU rRNA is a better molecule for studying wide-range relationships. The mitochondria behave clearly as a monophyletic group, clustering with the Proteobacteria. Gram-positive bacteria appear as two distinct groups, which are found clustered together in very few cases. Archaea behave as if monophyletic in most cases, but with a low confidence.Abbreviations LSU rRNA large subunit ribosomal RNA - SSU rRNA small subunit ribosomal RNA - JC Jukes and Cantor - JN Jin and Nei Correspondence to: R. De Wachter     

Phylogenetic Reconstruction Using an Unsupervised Growing Neural Network That Adopts the Topology of a Phylogenetic Tree

We propose a new type of unsupervised, growing, self-organizing neural network that expands itself by following the taxonomic relationships that exist among the sequences being classified. The binary tree topology of this neutral network, contrary to other more classical neural network topologies, permits an efficient classification of sequences. The growing nature of this procedure allows to stop it at the desired taxonomic level without the necessity of waiting until a complete phylogenetic tree is produced. This novel approach presents a number of other interesting properties, such as a time for convergence which is, approximately, a lineal function of the number of sequences. Computer simulation and a real example show that the algorithm accurately finds the phylogenetic tree that relates the data. All this makes the neural network presented here an excellent tool for phylogenetic analysis of a large number of sequences. Received: 14 May 1996 / Accepted: 6 August 1996     

Value of recN sequences for species identification and as a phylogenetic marker within the family "Leuconostocaceae"

The genera Leuconostoc, Oenococcus, and Weissella (family "Leuconostocaceae") constitute a group of lactic acid bacteria of great interest in food microbiology. From the taxonomic point of view, they are considered phylogenetically coherent according to their 16S rRNA gene sequences and other macromolecules. These three genera were the focus of the present study; specifically, the resolution and discriminatory power of recN (encoding a DNA repair and genetic recombination protein) as a molecular marker at the species level were investigated. For this purpose, partial sequences (about 1200 nt) were obtained from 23 type strains and from several additional strains following direct amplification of recN and subsequent sequencing. Phylogeny was evaluated according to different treeing methods (neighbor joining, maximum likelihood, and maximum parsimony) and the inclusion of variability filters. The results showed that recN, used either alone or in combination with 16S rRNA data, can serve as a phylogenetic marker as well as a tool for species identification.