Evidence of variability in the structure and recruitment of rhizospheric and endophytic bacterial communities associated with arable sweet sorghum (Sorghum bicolor (L) Moench)

Background and aims

Sorghum is the second most cultivated crop in Africa and is a staple food source in many African communities. Exploiting the associated plant growth-promoting bacteria (PGPB) has potential as an agricultural biotechnology strategy to enhance sorghum growth, yield and nutritional properties. Therefore this study aimed to evaluate factors that shape bacterial communities associated with sorghum farmed in South Africa, and to detect bacteria consistently associated with sorghum which may impart PGP activities.

Methods

Terminal-Restriction Fragment Length Polymorphism (T-RFLP) was used to assess factors that potentially shape rhizospheric (rhizosphere and rhizoplane) and endophytic (root, shoot, stem) bacterial communities associated with South African sorghum, and together with Denaturing Gradient Gel Electrophoresis (DGGE) to identify consistently sorghum-associated bacterial taxa.

Results

The sorghum rhizospheric communities were less variable than the endophytic ones. Geographical location was the main driver in describing bacterial community assemblages found in rhizospheric sorghum-linked niches, with total NO₃-N, NH₄-N, nitrogen, carbon, pH and, to a lesser extent, clay content identified as the main abiotic factors shaping sorghum-associated soil communities. Endophytic communities presented rather stochastic assemblages, with pH being the main variable explaining their structures. Despite community variations, specific bacterial taxa were consistently detected in sorghum-created rhizospheric and endophytic environments, irrespective of environmental factor effects.

Conclusions

Soil structure and composition, which are influenced by agricultural practices, played major roles in shaping sorghum-associated edaphic bacterial communities. In contrast, endophytic bacterial communities displayed more variation. Nevertheless, potentially agronomically relevant (cyano)bacterial taxa constantly associated with sorghum were identified which is suggestive of their deterministic recruitment.     

Phylogenetic diversity, host-specificity and community profiling of sponge-associated bacteria in the northern Gulf of Mexico

Background

Marine sponges can associate with abundant and diverse consortia of microbial symbionts. However, associated bacteria remain unexamined for the majority of host sponges and few studies use phylogenetic metrics to quantify symbiont community diversity. DNA fingerprinting techniques, such as terminal restriction fragment length polymorphisms (T-RFLP), might provide rapid profiling of these communities, but have not been explicitly compared to traditional methods.

Methodology/Principal Findings

We investigated the bacterial communities associated with the marine sponges Hymeniacidon heliophila and Haliclona tubifera, a sympatric tunicate, Didemnum sp., and ambient seawater from the northern Gulf of Mexico by combining replicated clone libraries with T-RFLP analyses of 16S rRNA gene sequences. Clone libraries revealed that bacterial communities associated with the two sponges exhibited lower species richness and lower species diversity than seawater and tunicate assemblages, with differences in species composition among all four source groups. T-RFLP profiles clustered microbial communities by source; individual T-RFs were matched to the majority (80.6%) of clone library sequences, indicating that T-RFLP analysis can be used to rapidly profile these communities. Phylogenetic metrics of community diversity indicated that the two sponge-associated bacterial communities include dominant and host-specific bacterial lineages that are distinct from bacteria recovered from seawater, tunicates, and unrelated sponge hosts. In addition, a large proportion of the symbionts associated with H. heliophila were shared with distant, conspecific host populations in the southwestern Atlantic (Brazil).

Conclusions/Significance

The low diversity and species-specific nature of bacterial communities associated with H. heliophila and H. tubifera represent a distinctly different pattern from other, reportedly universal, sponge-associated bacterial communities. Our replicated sampling strategy, which included samples that reflect the ambient environment, allowed us to differentiate resident symbionts from potentially transient or prey bacteria. Pairing replicated clone library construction with rapid community profiling via T-RFLP analyses will greatly facilitate future studies of sponge-microbe symbioses.     

VITCOMIC2: visualization tool for the phylogenetic composition of microbial communities based on 16S rRNA gene amplicons and metagenomic shotgun sequencing

Background

The 16S rRNA gene-based amplicon sequencing analysis is widely used to determine the taxonomic composition of microbial communities. Once the taxonomic composition of each community is obtained, evolutionary relationships among taxa are inferred by a phylogenetic tree. Thus, the combined representation of taxonomic composition and phylogenetic relationships among taxa is a powerful method for understanding microbial community structure; however, applying phylogenetic tree-based representation with information on the abundance of thousands or more taxa in each community is a difficult task. For this purpose, we previously developed the tool VITCOMIC (VIsualization tool for Taxonomic COmpositions of MIcrobial Community), which is based on the genome-sequenced microbes’ phylogenetic information. Here, we introduce VITCOMIC2, which incorporates substantive improvements over VITCOMIC that were necessary to address several issues associated with 16S rRNA gene-based analysis of microbial communities.

Results

We developed VITCOMIC2 to provide (i) sequence identity searches against broad reference taxa including uncultured taxa; (ii) normalization of 16S rRNA gene copy number differences among taxa; (iii) rapid sequence identity searches by applying the graphics processing unit-based sequence identity search tool CLAST; (iv) accurate taxonomic composition inference and nearly full-length 16S rRNA gene sequence reconstructions for metagenomic shotgun sequencing; and (v) an interactive user interface for simultaneous representation of the taxonomic composition of microbial communities and phylogenetic relationships among taxa. We validated the accuracy of processes (ii) and (iv) by using metagenomic shotgun sequencing data from a mock microbial community.

Conclusions

The improvements incorporated into VITCOMIC2 enable users to acquire an intuitive understanding of microbial community composition based on the 16S rRNA gene sequence data obtained from both metagenomic shotgun and amplicon sequencing.

     

Alignment and clustering of phylogenetic markers - implications for microbial diversity studies

Background  

Molecular studies of microbial diversity have provided many insights into the bacterial communities inhabiting the human body and the environment. A common first step in such studies is a survey of conserved marker genes (primarily 16S rRNA) to characterize the taxonomic composition and diversity of these communities. To date, however, there exists significant variability in analysis methods employed in these studies.     

Microbial Diversity in a Pyrite-Rich Tailings Impoundment (Carnoulès,France)

The microbial communities have been investigated in the subsurface waters of the Carnoulès pyrite-rich tailings impoundment (France) for two hydrological situations characterized by the presence of oxygenated waters during winter and suboxic conditions in early autumn. In these acidic waters (2–5) characterized by elevated concentrations of Fe (1608–3354 mg · l^?1), As (130–434 mg · l^?1) and sulfates (5796–14318 mg · l^?1) and variable dissolved oxygen content, the cultivable bacteria found in these system are Thiomonas and Acidithiobacillus ferrooxidans. Molecular methods, Terminal-Restriction Fragment Length Polymorphism (T-RFLP), and 16S rRNA encoding gene library analysis indicate low diversity. The environment is dominated by only a few types of microorganisms, with 70–80% of the whole bacterial population assigned to two or three Terminal-Restriction Fragments (T-RFs). Most of these organisms are uncultured, newly described, or recently associated with acid mine drainage. Modifications of the community structure are observed as a function of the sampling period and seem to be related to the aqueous chemistry of the tailings water. At low Dissolved Oxygen (DO = 1 mg · l^?1) concentrations and moderately acidic conditions (pH = 5.7), the dominant organisms are related to the uncultured clone BA31 affiliated with Desulfosarcina variabilis, a sulfate-reducing bacteria (SRB), Acidithiobacillus ferrooxidans and the uncultured clone BVB20, closely related to Thiobacillus. At high (12 mg · l^?1) DO concentrations and low (< 2) pH values, the microbial diversity is less important and 65% of the population is assigned to the uncultured bacterium clone AS6 related to Desulfosarcina variabilis.     

T-REX: software for the processing and analysis of T-RFLP data

Background  

Despite increasing popularity and improvements in terminal restriction fragment length polymorphism (T-RFLP) and other microbial community fingerprinting techniques, there are still numerous obstacles that hamper the analysis of these datasets. Many steps are required to process raw data into a format ready for analysis and interpretation. These steps can be time-intensive, error-prone, and can introduce unwanted variability into the analysis. Accordingly, we developed T-REX, free, online software for the processing and analysis of T-RFLP data.     

Variations in T-RFLP profiles with differing chemistries of fluorescent dyes used for labeling the PCR primers

Culture independent molecular methods have emerged as indispensable tools for studying microbial community structure and dynamics in natural habitats, since they allow a closer look at microbial diversity that is not reflected by culturing techniques. Terminal Restriction Fragment Length Polymorphism (T-RFLP) analysis is one of the informative and widely used techniques for such studies. However, the method has a few limitations to predict microbial community structure with significant accuracy. One of the major limitations is variation in real Terminal Restriction Fragment (TRF) length and observed TRF length. In the present study we report the generation of TRF length variations using different fluorescent dyes to label the PCR primers. T-RFLP profiles generated from primers labeled with different dyes varied significantly and led to inconsistent microbial species identification. Occurrence of such variations can have serious consequences on interpretation of the T-RFLP profiles from environmental samples representing complex microbial community. Therefore, in a T-RFLP study, the primers and labeling dye system should be carefully evaluated and optimized for an individual community under investigation. Further, it would be recommended to establish a target gene library in parallel with T-RFLP analysis to facilitate the accurate prediction of microbial community structure.     

Microbial diversity in Los Azufres geothermal field (Michoacán,Mexico) and isolation of representative sulfate and sulfur reducers

Los Azufres spa consists of a hydrothermal spring system in the Mexican Volcanic Axis. Five samples (two microbial mats, two mud pools and one cenote water), characterized by high acidity (pH between 1 and 3) and temperatures varying from 27 to 87 °C, were investigated for their microbial diversity by Terminal-Restriction Fragment Length Polymorphism (T-RFLP) and 16S rRNA gene library analyses. These data are the first to describe microbial diversity from Los Azufres geothermal belt. The data obtained from both approaches suggested a low bacterial diversity in all five samples. Despite their proximity, the sampling points differed by their physico-chemical conditions (mainly temperature and matrix type) and thus exhibited different dominant bacterial populations: anoxygenic phototrophs related to the genus Rhodobacter in the biomats, colorless sulfur oxidizers Acidithiobacillus sp. in the warm mud and water samples, and Lyzobacter sp.-related populations in the hot mud sample (87 °C). Molecular data also allowed the detection of sulfate and sulfur reducers related to Thermodesulfobium and Desulfurella genera. Several strains affiliated to both genera were enriched or isolated from the mesophilic mud sample. A feature common to all samples was the dominance of bacteria involved in sulfur and iron biogeochemical cycles (Rhodobacter, Acidithiobacillus, Thiomonas, Desulfurella and Thermodesulfobium genera).     

Depth-Dependent Differences in Community Structure of the Human Colonic Microbiota in Health

Objective

The aims of this study were to develop techniques for spatial microbial assessment in humans and to establish colonic luminal and mucosal spatial ecology, encompassing longitudinal and cross-sectional axes.

Design

A microbiological protected specimen brush was used in conjunction with a biopsy forceps to sample the colon in nine healthy volunteers undergoing colonoscopy. Terminal Restriction Fragment Length Polymorphism analysis was used to determine the major variables in the spatial organization of the colonic microbiota.

Results

Protected Specimen Brush sampling retrieved region-specific, uncontaminated samples that were enriched for bacterial DNA and depleted in human DNA when compared to biopsy samples. Terminal Restriction Fragment Length Polymorphism analysis revealed a segmentation of bacterial communities between the luminal brush and biopsy-associated ecological niches with little variability across the longitudinal axis of the colon and reduced diversity in brush samples.

Conclusion

These results support the concept of a microbiota with little longitudinal variability but with some degree of segregation between luminal and mucosal communities.     

Comparison of Bacterial Communities in New England Sphagnum Bogs Using Terminal Restriction Fragment Length Polymorphism (T-RFLP)

Wetlands are major sources of carbon dioxide, methane, and other greenhouse gases released during microbial degradation. Despite the fact that decomposition is mainly driven by bacteria and fungi, little is known about the taxonomic diversity of bacterial communities in wetlands, particularly Sphagnum bogs. To explore bacterial community composition, 24 bogs in Vermont and Massachusetts were censused for bacterial diversity at the surface (oxic) and 1 m (anoxic) regions. Bacterial diversity was characterized by a terminal restriction fragment length (T-RFLP) fingerprinting technique and a cloning strategy that targeted the 16S rRNA gene. T-RFLP analysis revealed a high level of diversity, and a canonical correspondence analysis demonstrated marked similarity among bogs, but consistent differences between surface and subsurface assemblages. 16S rDNA sequences derived from one of the sites showed high numbers of clones belonging to the Deltaproteobacteria group. Several other phyla were represented, as well as two Candidate Division-level taxonomic groups. These data suggest that bog microbial communities are complex, possibly stratified, and similar among multiple sites.     

The effect of substratum type,orientation and depth on the development of bacterial deep-sea biofilm communities grown on artificial substrata deployed in the Eastern Mediterranean

An increasing number of deep-sea studies have highlighted the importance of deep-sea biofouling, especially in relation to the protection of deep-sea instruments. In this study, the microbial communities developed on different substrata (titanium, aluminum, limestone, shale and neutrino telescope glass) exposed for 155 days at different depths (1500 m, 2500 m, 3500 m and 4500 m) and positions (vertical and horizontal) in the Eastern Mediterranean Deep Sea were compared. Replicated biofilm samples were analyzed using a Terminal Restriction Fragment Length Polymorphisms (T-RFLP) method. The restriction enzymes CfoI and RsaI produced similar total numbers (94, 93) of different T-RFLP peaks (T-RFs) along the vertical transect. In contrast, the mean total T-RF number between each sample according to substratum type and depth was higher in more samples when CfoI was used. The total species richness (S) of the bacterial communities differed significantly between the substrata, and depended on the orientation of each substratum within one depth and throughout the water column (ANOVA). T-RFLP analyses using the Jaccard similarity index showed that within one depth layer, the composition of microbial communities on different substrata was different and highly altered among communities developed on the same substratum but exposed to fouling at different depths. Based on Multidimensional Scaling Analyses (MDS), the study suggests that depth plays an important role in the composition of deep-sea biofouling communities, while substratum type and orientation of substrata throughout the water column are less important. To the authors’ knowledge, this is the first study of biofilm development in deep waters, in relation to the effects of substratum type, orientation and depth.     

Coupling of Denaturing High-Performance Liquid Chromatography and Terminal Restriction Fragment Length Polymorphism with Precise Fragment Sizing for Microbial Community Profiling and Characterization

Terminal restriction fragment length polymorphism (T-RFLP) is used to monitor the structural diversity of complex microbial communities in terms of richness, relative abundance, and distribution of the major subpopulations and individual members. However, discrepancies of several nucleotides between expected and experimentally observed lengths of terminal restriction fragments (T-RFs), together with the difficulty of obtaining DNA sequence information from T-RFLP profiling, often prevent accurate phylogenetic characterization of the microbial community of interest. In this study, T-RFLP analysis of DNA from an artificial assembly of five bacterial strains was carried out with a combination of two size markers with different fluorescent tags. Precise sizing of T-RFs in the 50- to 500-nucleotide range was achieved by using the same dye for both samples and size markers. Phylogenetic assignment of the component microbial strains was facilitated by coupling T-RFLP to denaturing high-performance liquid chromatography (D-HPLC) of 16S RNA gene fragments followed by direct sequencing. The proposed coupling of D-HPLC and T-RFLP provides unambiguous characterization of microbial communities containing less than 15 microbial strains.Over the last 2 decades, the development of molecular biology tools has led to the emergence of a new discipline, molecular microbial ecology. The overall structural diversity of microbial communities can be examined easily using PCR-based strategies (6), usually targeting the 16S rRNA gene as a universal genetic marker of prokaryotes. Genotyping approaches avoid current limitations of cultivation methods, which only poorly reflect the phylogenetic diversity of microbial communities (12). The principles, technical aspects, and limitations of commonly employed methods were recently reviewed (10). Among these methods, terminal restriction fragment length polymorphism (T-RFLP) has proved to be invaluable for rapid characterization of the composition and dynamics of species-rich samples (13). Compared to other approaches, T-RFLP is semiquantitative and combines high levels of sensitivity, resolution, and reproducibility (see Table S1 in the supplemental material). Taxonomic diversity of microbial communities is evaluated by using the strain-dependent variability of restriction sites within a conserved PCR-amplified DNA fragment. The terminal restriction fragments (T-RFs) of digested PCR products appear as chromatographic peaks after size-dependent electrophoretic separation due to a fluorescent tag attached to one of the primers used for PCR. The relative abundance of peaks is evaluated, and fragment lengths are estimated using a fluorescent internal size standard comigrating with the sample (5). The estimated lengths corresponding to the T-RFLP peaks obtained are compared to databases of T-RF sizes generated by in silico digestion of known 16S rRNA gene sequences with commonly used restriction enzymes for phylogenetic assignment (13). However, estimation of T-RF lengths from experimental chromatograms is biased by the fact that differences in the electrophoretic properties of the two different fluorescent dyes used to distinguish sample fragments from the size marker significantly affect fragment migration (7, 11). Discrepancies greater than 6 nucleotides (nt), depending on the length of the fragment, have been reported between expected and experimentally estimated fragment lengths (7). This causes errors in phylogenetic assignments and may in turn lead to erroneous inferences regarding the functional aspects of the microbial communities under investigation. Another drawback of T-RFLP is the difficulty of retrieving sequence information directly from experimental T-RFs, since additional construction of representative 16S rRNA gene libraries is required to obtain such information.Here we propose an experimental strategy to circumvent current limitations of T-RFLP and facilitate characterization of microbial communities. First, we propose an optimized protocol for T-RFLP that yields reliable T-RF sizes. Second, we describe use of denaturing high-performance liquid chromatography (D-HPLC) as an alternative to cloning in order to gain direct access to DNA sequence information. D-HPLC, an emerging technique for microbial community profiling (1, 4), enables collection of DNA fragments separated on the basis of differences in sequence, sequence length, and G+C content at a partially denaturing temperature. The unambiguous phylogenetic characterization of a model microbial assembly of five reference strains is described as proof of principle of the usefulness of the proposed strategy.     

Co-occurring grass species differ in their associated microbial community composition in a temperate native grassland

Background and aims

Specific associations exist between plant species and the soil microbial community and these associations vary between habitat types and different plant groups. However, there is evidence that the associations are highly specific. Hence, we aimed to determine the specificity of plant-microbe relationships amongst co-occurring grass species in a temperate grassland.

Methods and results

We examined the broad microbial groups of bacteria and fungi as well as a specific fungal group, the arbuscular mycorrhizal community amongst two dominant C₃ and C₄ species and one sub-dominant C₃ species using terminal restriction fragment length polymorphism (T-RFLP) analysis. We found that the two dominant species were more similar to each other in their bacterial and arbuscular mycorrhizal community composition than either was to the sub-dominant species, but not in their fungal community composition. We also found no clear evidence that those differences were directly linked to soil chemical properties.

Conclusions

Our results demonstrate that co-occurring grass species have a distinct soil microbial community and T-RFLP analysis is able to detect plant species effect on the microbial community composition on an extremely local scale, providing an insight into the differences in the response of bacterial, fungal and arbuscular mycorrhizal communities to different, but similar and co-occurring, plant species.     

Endospores of halophilic bacteria of the family Bacillaceae isolated from non-saline Japanese soil may be transported by Kosa event (Asian dust storm)

Background

Natural microbial communities are extremely complex and dynamic systems in terms of their population structure and functions. However, little is known about the in situ functions of the microbial communities.

Results

This study describes the application of proteomic approaches (metaproteomics) to observe expressed protein profiles of natural microbial communities (metaproteomes). The technique was validated using a constructed community and subsequently used to analyze Chesapeake Bay microbial community (0.2 to 3.0 μm) metaproteomes. Chesapeake Bay metaproteomes contained proteins from pI 4–8 with apparent molecular masses between 10–80 kDa. Replicated middle Bay metaproteomes shared ~92% of all detected spots, but only shared 30% and 70% of common protein spots with upper and lower Bay metaproteomes. MALDI-TOF analysis of highly expressed proteins produced no significant matches to known proteins. Three Chesapeake Bay proteins were tentatively identified by LC-MS/MS sequencing coupled with MS-BLAST searching. The proteins identified were of marine microbial origin and correlated with abundant Chesapeake Bay microbial lineages, Bacteroides and α-proteobacteria.

Conclusion

Our results represent the first metaproteomic study of aquatic microbial assemblages and demonstrate the potential of metaproteomic approaches to link metagenomic data, taxonomic diversity, functional diversity and biological processes in natural environments.     

Development of a fluorophore-ribosomal DNA restriction typing method for monitoring structural shifts of microbial communities

DNA restriction fragment polymorphism technologies such as amplified ribosomal DNA restriction analysis (ARDRA) and terminal restriction fragment length polymorphism (T-RFLP) have been widely used in investigating microbial community structures. However, these methods are limited due to either the low resolution or sensitivity. In this study, a fluorophore-ribosomal DNA restriction typing (f-DRT) approach is developed for structural profiling of microbial communities. 16S rRNA genes are amplified from the community DNA and digested by a single restriction enzyme Msp I. All restriction fragments are end-labeled with a fluorescent nucleotide Cy5-dCTP via a one-step extension reaction and detected with an automated DNA sequencer. All 50 predicted restriction fragments between 100 and 600 bp were detected when twelve single 16S rRNA gene sequences were analyzed using f-DRT approach; 92% of these fragments were determined with accuracy of ±2 bp. In the defined model communities containing five components with different ratios, relative abundance of each component was correctly revealed by this method. The f-DRT analysis also showed structural shifts of intestinal microbiota in carcinogen-treated rats during the formation of precancerous lesions in the colon, as sensitive as multiple digestion-based T-RFLP analysis. This study provides a labor and cost-saving new method for monitoring structural shifts of microbial communities.     

Soil microbial community analysis using two-dimensional polyacrylamide gel electrophoresis of the bacterial ribosomal internal transcribed spacer regions

Two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) of digested genomic DNA has been previously used in comparative genomics studies of closely related bacteria species. However, a two-dimensional gel electrophoresis approach for examining microbial community structures in environmental samples has not yet been developed. We determined that it is theoretically possible to separate internal transcribed spacer regions (ITS) of bacterial communities into hundreds of operational taxonomic units (OTUs) using 2D-PAGE. Application of 2D-PAGE for separating Bacterial ITS sequences that have been PCR-amplified from replicate soil samples taken from along a Zn gradient resulted in reproducible gels containing hundreds of spots. Clear differences in spot patterns were observed between soil samples that differed in both sampling location and Zn content. The number of OTUs detected using 2D-PAGE of ITS regions was much greater than that observed using Automated Ribosomal Internal Transcribed Spacer Analysis (ARISA), Terminal Restriction Fragment Length Polymorphism (T-RFLP), or Denaturing Gradient Gel Electrophoresis (DGGE). Principal Component Analysis (PCA) of community spot patterns resulted in similar groupings of samples as those obtained using other molecular methods, however, excised spots were found to contain a far lower diversity of different sequences than excised ITS bands of the same length, as determined by RFLP analysis of excision clone libraries and subsequent sequencing of DNA eluted from excised spots. This increase in resolution makes 2D-PAGE of Bacteria ITS fragments from complex microbial communities a viable method for detecting differences between highly similar communities, as well as in streamlining follow-on sequencing efforts by reducing the level of homoplasy (co-migration of heterogeneous sequences) often seen in band-based community fingerprinting methods.     

Reanalyze unassigned reads in Sanger based metagenomic data using conserved gene adjacency

Background  

Investigation of metagenomes provides greater insight into uncultured microbial communities. The improvement in sequencing technology, which yields a large amount of sequence data, has led to major breakthroughs in the field. However, at present, taxonomic binning tools for metagenomes discard 30-40% of Sanger sequencing data due to the stringency of BLAST cut-offs. In an attempt to provide a comprehensive overview of metagenomic data, we re-analyzed the discarded metagenomes by using less stringent cut-offs. Additionally, we introduced a new criterion, namely, the evolutionary conservation of adjacency between neighboring genes. To evaluate the feasibility of our approach, we re-analyzed discarded contigs and singletons from several environments with different levels of complexity. We also compared the consistency between our taxonomic binning and those reported in the original studies.     

Tools for T-RFLP data analysis using Excel

Background

Terminal restriction fragment length polymorphism (T-RFLP) analysis is a DNA-fingerprinting method that can be used for comparisons of the microbial community composition in a large number of samples. There is no consensus on how T-RFLP data should be treated and analyzed before comparisons between samples are made, and several different approaches have been proposed in the literature. The analysis of T-RFLP data can be cumbersome and time-consuming, and for large datasets manual data analysis is not feasible. The currently available tools for automated T-RFLP analysis, although valuable, offer little flexibility, and few, if any, options regarding what methods to use. To enable comparisons and combinations of different data treatment methods an analysis template and an extensive collection of macros for T-RFLP data analysis using Microsoft Excel were developed.

Results

The Tools for T-RFLP data analysis template provides procedures for the analysis of large T-RFLP datasets including application of a noise baseline threshold and setting of the analysis range, normalization and alignment of replicate profiles, generation of consensus profiles, normalization and alignment of consensus profiles and final analysis of the samples including calculation of association coefficients and diversity index. The procedures are designed so that in all analysis steps, from the initial preparation of the data to the final comparison of the samples, there are various different options available. The parameters regarding analysis range, noise baseline, T-RF alignment and generation of consensus profiles are all given by the user and several different methods are available for normalization of the T-RF profiles. In each step, the user can also choose to base the calculations on either peak height data or peak area data.

Conclusions

The Tools for T-RFLP data analysis template enables an objective and flexible analysis of large T-RFLP datasets in a widely used spreadsheet application.

Electronic supplementary material

The online version of this article (doi:10.1186/s12859-014-0361-7) contains supplementary material, which is available to authorized users.     

Accurate genome relative abundance estimation for closely related species in a metagenomic sample

Background

Metagenomics has a great potential to discover previously unattainable information about microbial communities. An important prerequisite for such discoveries is to accurately estimate the composition of microbial communities. Most of prevalent homology-based approaches utilize solely the results of an alignment tool such as BLAST, limiting their estimation accuracy to high ranks of the taxonomy tree.

Results

We developed a new homology-based approach called Taxonomic Analysis by Elimination and Correction (TAEC), which utilizes the similarity in the genomic sequence in addition to the result of an alignment tool. The proposed method is comprehensively tested on various simulated benchmark datasets of diverse complexity of microbial structure. Compared with other available methods designed for estimating taxonomic composition at a relatively low taxonomic rank, TAEC demonstrates greater accuracy in quantification of genomes in a given microbial sample. We also applied TAEC on two real metagenomic datasets, oral cavity dataset and Crohn’s disease dataset. Our results, while agreeing with previous findings at higher ranks of the taxonomy tree, provide accurate estimation of taxonomic compositions at the species/strain level, narrowing down which species/strains need more attention in the study of oral cavity and the Crohn’s disease.

Conclusions

By taking account of the similarity in the genomic sequence TAEC outperforms other available tools in estimating taxonomic composition at a very low rank, especially when closely related species/strains exist in a metagenomic sample.

Electronic supplementary material

The online version of this article (doi:10.1186/1471-2105-15-242) contains supplementary material, which is available to authorized users.