Detecting lateral gene transfers by statistical reconciliation of phylogenetic forests

<p>Abstract</p> <p>Background</p> <p>To understand the evolutionary role of Lateral Gene Transfer (LGT), accurate methods are needed to identify transferred genes and infer their timing of acquisition. Phylogenetic methods are particularly promising for this purpose, but the reconciliation of a gene tree with a reference (species) tree is computationally hard. In addition, the application of these methods to real data raises the problem of sorting out real and artifactual phylogenetic conflict.</p> <p>Results</p> <p>We present Prunier, a new method for phylogenetic detection of LGT based on the search for a maximum statistical agreement forest (MSAF) between a gene tree and a reference tree. The program is flexible as it can use any definition of "agreement" among trees. We evaluate the performance of Prunier and two other programs (EEEP and RIATA-HGT) for their ability to detect transferred genes in realistic simulations where gene trees are reconstructed from sequences. Prunier proposes a single scenario that compares to the other methods in terms of sensitivity, but shows higher specificity. We show that LGT scenarios carry a strong signal about the position of the root of the species tree and could be used to identify the direction of evolutionary time on the species tree. We use Prunier on a biological dataset of 23 universal proteins and discuss their suitability for inferring the tree of life.</p> <p>Conclusions</p> <p>The ability of Prunier to take into account branch support in the process of reconciliation allows a gain in complexity, in comparison to EEEP, and in accuracy in comparison to RIATA-HGT. Prunier's greedy algorithm proposes a single scenario of LGT for a gene family, but its quality always compares to the best solutions provided by the other algorithms. When the root position is uncertain in the species tree, Prunier is able to infer a scenario per root at a limited additional computational cost and can easily run on large datasets.</p> <p>Prunier is implemented in C++, using the Bio++ library and the phylogeny program Treefinder. It is available at: <url>http://pbil.univ-lyon1.fr/software/prunier</url></p

Key components of the eight classes of type IV secretion systems involved in bacterial conjugation or protein secretion

Conjugation of DNA through a type IV secretion system (T4SS) drives horizontal gene transfer. Yet little is known on the diversity of these nanomachines. We previously found that T4SS can be divided in eight classes based on the phylogeny of the only ubiquitous protein of T4SS (VirB4). Here, we use an ab initio approach to identify protein families systematically and specifically associated with VirB4 in each class. We built profiles for these proteins and used them to scan 2262 genomes for the presence of T4SS. Our analysis led to the identification of thousands of occurrences of 116 protein families for a total of 1623 T4SS. Importantly, we could identify almost always in our profiles the essential genes of well-studied T4SS. This allowed us to build a database with the largest number of T4SS described to date. Using profile-profile alignments, we reveal many new cases of homology between components of distant classes of T4SS. We mapped these similarities on the T4SS phylogenetic tree and thus obtained the patterns of acquisition and loss of these protein families in the history of T4SS. The identification of the key VirB4-associated proteins paves the way toward experimental analysis of poorly characterized T4SS classes.Funding. Spanish Ministry of Economy [BFU2011-26608]; European Seventh Framework Program [282004/FP7-HEALTH.2011, 612146/FP7-ICT-2013]; European Research Council Grant [EVOMOBILOME no. 281605]. Source of open access funding: European Research Council grant to the PI

Belonging with Beavers

All humans have a need to belong. In our PSY284 class we conducted a research project on things that may be related to belonging in college. We collected data from UMF students about their academic and social experiences and their sense of belonging at UMF. Implications for belonging (or not) will be discussed

Muses

Utah State University\u27s music therapy students present a concert on Muses.https://digitalcommons.usu.edu/music_programs/1138/thumbnail.jp

Muses

Utah State University\u27s music therapy students present a concert on Muses.https://digitalcommons.usu.edu/music_programs/1138/thumbnail.jp