- Open Access
AIR: A batch-oriented web program package for construction of supermatrices ready for phylogenomic analyses
© Kumar et al; licensee BioMed Central Ltd. 2009
- Received: 21 April 2009
- Accepted: 28 October 2009
- Published: 28 October 2009
Large multigene sequence alignments have over recent years been increasingly employed for phylogenomic reconstruction of the eukaryote tree of life. Such supermatrices of sequence data are preferred over single gene alignments as they contain vastly more information about ancient sequence characteristics, and are thus more suitable for resolving deeply diverging relationships. However, as alignments are expanded, increasingly numbers of sites with misleading phylogenetic information are also added. Therefore, a major goal in phylogenomic analyses is to maximize the ratio of information to noise; this can be achieved by the reduction of fast evolving sites.
Here we present a batch-oriented web-based program package, named AIR that allows 1) transformation of several single genes to one multigene alignment, 2) identification of evolutionary rates in multigene alignments and 3) removal of fast evolving sites. These three processes can be done with the programs AIR-A ppender, AIR-I dentifier, and AIR-R emover (AIR), which can be used independently or in a semi-automated pipeline. AIR produces user-friendly output files with filtered and non-filtered alignments where residues are colored according to their evolutionary rates. Other bioinformatics applications linked to the AIR package are available at the Bioportal http://www.bioportal.uio.no, University of Oslo; together these greatly improve the flexibility, efficiency and quality of phylogenomic analyses.
The AIR program package allows for efficient creation of multigene alignments and better assessment of evolutionary rates in sequence alignments. Removing fast evolving sites with the AIR programs has been employed in several recent phylogenomic analyses resulting in improved phylogenetic resolution and increased statistical support for branching patterns among the early diverging eukaryotes.
- Rate Category
- Site Rate
- Phylogenomic Analysis
- File Directory
- Project Folder
A well-resolved phylogenetic tree demonstrating the relationships between species is one of the most important goals in evolutionary biology, and the fundament for comparative studies in many fields in life science. Multiple gene sequence data is increasingly being used to resolve phylogenetic relationships, and frequently more than 50 genes are being inferred to address key questions about the early evolution of eukaryotes [1–8]. Recent studies have for instance shown support for the grouping of known eukaryotes into a handful of supergroups [2, 5, 9–15]. The main reason for constructing multigene data instead of using single gene data in phylogenetic reconstruction is to collect enough information to improve the phylogenetic signal [9, 16]. Accordingly, as the number of genes increases, the tendency is that phylogenetic relationships are better resolved and receive higher statistical support [2, 5, 16–18]. However, simply adding genes to an alignment to increase statistical support does not necessarily lead to more accurate results; inconsistencies in datasets may adversely lead to higher support for an incorrect topology. Reducing such stochastic errors is an important step in improving the phylogenetic resolution of the sequence data [16, 19–21]. Consistency in the data may be improved by the removal of the fastest evolving sites; as such sites may have over-representation of substitution saturation causing homoplasies [22, 23]. However, so far only a few bioinformatics program has been reported that allows for the concatenation of multiple single gene alignment files, identification of fast evolving sites and removal of fast evolving sites in accordance with the users needs.
The AIR package is implemented on the Bioportal at the University of Oslo. The Bioportal is a web-based bioinformatics service freely available to academic users at the following URL: http://www.bioportal.uio.no/. The Bioportal uses SQL for maintaining information about users, files, databases, and jobs. The Bioportal resources are deployed on Linux with Apache HTTP server 2.2. The critical scripts to maintain the Bioportal, e.g. cron jobs scripts and post-processing scripts, are written in Perl v5.8, and python 2.3. The web-interface for all available applications on Bioportal is written in PHP 4.3.
Each user of the Bioportal has access to several file directories and file administration functions. All files used as input for analyses are stored in project folders defined by the users. Once the user has created a project folder they can upload data-files into its respective project folders. The user can then use the web interface created for each application on Bioportal to select their files, applications (here for example AIR-Appender, AIR-Identifier, or AIR-Remover) and parameter settings. For each analysis a working folder is created in the working directory 'job admin'. A 'copy home' function in the 'job admin' can be used to transfer files from working directories to project folders; hence result files from one process can be used as input files in subsequent analyses, and to link different applications in a semi-automated pipeline. For instance, alignments made by MAFFT  can be used for phylogenetic analyses by one of the available phylogenetic programs e.g. RAxML, Treefinder or MrBayes [25–27]. The Bioportal tutorial is available at the Bioportal website.
All successfully submitted Bioportal jobs are run in the background, the execution time of each process varies dependent on the file size and the nature of the selected applications. To keep track of the status of submitted jobs a manager module has been developed on the Bioportal; this updates the users about the current status of all jobs. Upon completion the results are returned to the respective working directory where files can then be downloaded in a compressed 'zip' format.
Currently the Bioportal is the largest high performance-computing environment in Norway. The available computer resources are 320 dedicated cores on the TITAN cluster at the University of Oslo. In addition, the Bioportal has access to all free or idle TITAN cores if needed (4000 at present). The TITAN cluster has LINUX nodes with 16 gigabytes of memory and 2× quadcore CPUs or 2× dual-core CPUs.
Appending single gene alignments
AIR-Appender merges multiple single gene alignment files into one major multigene alignment; the program looks for species with identical names and subsequently merges these. If any of the single gene alignments are lacking taxa in relation to one another, the program will automatically replace the missing data with question marks '?'. The junction between genes will be marked with double hyphen for easy identification of the sequence borders. The resulting output of AIR-Appender is a single FASTA and PAML formatted file containing the multiple gene alignment (out.fasta in Figure 1); this can be used for downstream processing with AIR-Identifier (or other programs available on the Bioportal) or downloaded to a local computer as a compressed zip file.
Identifying site rate
Two types of files are used to calculate the site rates: 1) a multigene alignment in FASTA format with file extension '.fasta' or PAML format, and 2) a corresponding file containing a phylogenetic tree. The tree file should be generated with a suitable phylogenetic programs; the codeml and baseml programs are not recommended to reconstruct trees (see the PAML manual ). The tree topologies accepted are typically specified using the parenthesis notation such as the Newick tree format . It should be noted that some widely used programs such as PAUP or MacClade [32, 33] can produce tree files with limited compatibility, whereas other programs such as PHYLOBAYES v. 2.3  or RAxML-VI-HPC  generate output files that are ready to use. Trees with or without branch length are accepted by AIR-Identifier.
It can often be difficult to decide which phylogeny should be used for estimating rates, especially when a dataset gives differing trees from different evolutionary models, parameters and tree searching algorithms. It has also been proposed that the selection of phylogeny can have a major impact on rate estimation . For this reason we have constructed the AIR-Identifier to calculate site rates and rate categories from multiple phylogenetic trees.
The AIR-Identifier program produces two output files: 1) A rate file, which contains information about the evolutionary rate (rate category) for each site in the alignment (rates in Figure 1); 2) A html file (i.e. rates.html in Figure 1) that visually presents information about the rate pattern in the alignment and which allow the users to easily evaluate the importance of the various rate categories and the dispersal of the site rates along the alignment before sites are removed; the file also includes an graphical overview of the alignment where different rate categories have been color-coded.
Removing fast evolving sites
The AIR package has been extensively used in recently published phylogenomic studies of deeply diverging eukaryote lineages [2, 18]. In the study of Burki et al., 2008, a global eukaryote phylogeny was reconstructed from a dataset of 135 genes and 65 taxa, resulting in 73% bootstrap support for a single "megagroup" comprising nearly all photosynthetic lineages (including the supergroups Plantae, chromalveoalates and Rhizaria). When the fast evolving sites were identified and removed from the alignment with AIR, the same topology was recovered but with a substantially increased bootstrap support (97%) for the observed relationship. In the study of Minge et al. 2008, the evolutionary position of an enigmatic lineage named Breviata was in question using 78 genes and 38 taxa. The lineage was placed with strong bootstrap support as sister to the supergroup Amoebozoa, however statistical testing i.e. AU-test  of alternative placements in the eukaryote tree could not reject a sister relationship to another supergroup, the Excavata. Once fast evolving sites were removed using AIR the AU test could reject an affinity to the Excavata and additionally placed Breviata with the Amoebozoa with higher bootstrap support. Interestingly, the removal of additional fast evolving sites (altogether the 3 fastest rate categories) reduced the bootstrap support for the monophyly of Breviata and Amoebozoa, thus suggesting that the removal of too many categories or sites can reduce relevant phylogenetic information in the data. It demonstrates the need for detailed information about rates in the alignment provided by AIR.
The great need for efficient bioinformatic tools in reconstructing multi-gene alignments for phylogenomic inferences has over the last years been met by several new applications, such as Concatenator, IDEA, SCaFoS, IDEA and ASAP [36–40]. Several of these have overlapping functionalities with the AIR package, but the AIR is unique in combining key steps for constructing multi-gene alignments and evolutionary rate estimations. Most importantly AIR allows trimming of alignments according to the evolutionary rates and the users' preferences. Site rates estimation can be based on multiple phylogenies that account for uncertainties in the phylogeny. Several different criterions can be used for removing sites, either based on rate categories or site rates, which reduces the possibility of removing too many or few sites from the alignment. Monitoring of the site removal process is easy by using the colored alignment output files from the AIR.
In contrast to the vast majority of other programs, the AIR package is easily accessible on the web and does not require cumbersome installation on local computers. AIR is implemented on the Bioportal where users have their own file directories and can access several widely used programs in molecular evolution and ecology. The result files from the AIR programs can also be easily downloaded and applied in downstream analyses at other web-based bioinformatics services (such as http://www.phylo.org and http://bioweb2.pasteur.fr/). This makes the AIR package user-friendly and efficient. As AIR will process files on a large computer cluster, with the prospect of being linked to a larger grid infrastructure in future, there is currently no restriction on the size of the input sequences.
Project name: AIR version 1.1
Project home page: http://www.bioportal.uio.no
Operating system(s): Platform independent
Programming language: SQL, Perl, Python and PHP
Other requirements: Apache webserver
License: GNU - GPL
Any restrictions to use by non-academics: AIR-Identifier uses PAML with license for academic use. Non-academic users still can use AIR-Appender and AIR-Remover at http://app3.titan.uio.no/biotools/. Test dataset for all programs of AIR is available at http://www.bioportal.uio.no/onlinemat/online_material.php.
We would like to thank Marianne Minge and Jon Bråte for valuable suggestions and testing of the AIR package. The Bioportal has been developed as collaboration between bioinformatics groups at USIT headed by Jostein Sundet and Hans Eide and a bioinformatics group in the KST lab. We thank Center of Technology at University of Oslo for maintenance of the TITAN clusters and Research Council of Norway for financing computers through AVIT and FUGE grants to a consortium headed by Kjetill S. Jakobsen at University of Oslo. This work is supported by University of Oslo start grant to KST and PhD for Surendra Kumar. The Bioportal service is financially supported by EMBIO, MLS and FUGE initiatives at University of Oslo.
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