Search bioRxiv⌕ Search

Biology subjects

van Iersel, L.

Publications and source records attributed to van Iersel, L..

3 recordsLinked to original sources

Identifiability of Phylogenetic Level-2 Networks under the Jukes-Cantor Model

AO_SCPLOWBSTRACTC_SCPLOWWe investigate which evolutionary histories can potentially be reconstructed from sufficiently long DNA sequences by studying the identifiability of phylogenetic networks from sequence data generated under site independent models of molecular evolution. While previous work in the field has established the identifiability of phylogenetic trees and level-1 networks, networks with non-overlapping reticulation cycles, less is known about more complex network structures. In this work, we extend identifiability results to network classes that include pairs of tangled reticulations. Our main result shows that binary semi-directed level-2 phylogenetic networks are generically identifiable under the Jukes-Cantor model, provided they are triangle-free and strongly tree-child. We also strengthen existing identifiability results for level-1 networks, showing that the number of reticulation nodes is generically identifiable under the Jukes-Cantor model. In addition, we present more general identifiability results that do not restrict the network level at all and hold for the Jukes-Cantor as well as for the Kimura-2-parameter model. Specifically, we demonstrate that any two binary semi-directed networks that display different sets of 4-leaf subtrees (quartets) are distinguishable. This has direct implications for the identifiability of a networks reticulated components (blobs). We show that the tree-of-blobs of a network, the global branching structure of the network, is identifiable, as well as the circular ordering of the subnetworks around each blob, for networks in which edges do not cross and taxa are on the outside.

evolutionary biology↗

Squirrel: Reconstructing semi-directed phylogenetic level-1 networks from four-leaved networks or sequence alignments

With the increasing availability of genomic data, biologists aim to find more accurate descriptions of evolutionary histories influenced by secondary contact, where diverging lineages reconnect before diverging again. Such reticulate evolutionary events can be more accurately represented in phylogenetic networks than in phylogenetic trees. Since the root location of phylogenetic networks can not be inferred from biological data under several evolutionary models, we consider semi-directed (phylogenetic) networks: partially directed graphs without a root in which the directed edges represent reticulate evolutionary events. By specifying a known outgroup, the rooted topology can be recovered from such networks. We introduce the algorithm SO_SCPLOWQUIRRELC_SCPLOW (Semi-directed Quarnet-based Inference to Reconstruct Level-1 Networks) which constructs a semi-directed level-1 network from a full set of quarnets (four-leaf semi-directed networks). Our method also includes a heuristic to construct such a quarnet set directly from sequence alignments. We demonstrate SO_SCPLOWQUIRRELC_SCPLOWs performance through simulations and on real sequence data sets, the largest of which contains 29 aligned sequences close to 1.7 Mbp long. The resulting networks are obtained on a standard laptop within a few minutes. Lastly, we prove that SO_SCPLOWQUIRRELC_SCPLOW is combinatorially consistent: given a full set of quarnets coming from a triangle-free semi-directed level-1 network, it is guaranteed to reconstruct the original network. SO_SCPLOWQUIRRELC_SCPLOW is implemented in Python, has an easy-to-use graphical user-interface that takes sequence alignments or quarnets as input, and is freely available at https://github.com/nholtgrefe/squirrel.

evolutionary biology↗

Differential effects of ankle constraints on foot placement control between normal and split belt treadmills

Mediolateral ankle moment control contributes to gait stability. Ankle moments can be constrained by walking with a shoe with a ridge underneath the sole, narrowing the mediolateral support surface. In our previous study, such ankle moment constraints resulted in an increased step width and a decrease in the degree of foot placement control, as defined by the percentage of variance in foot placement that can be explained by CoM state. However, since our previous study was performed on a split-belt treadmill and the narrow ridge could fit inside the gap between the belts, it is not evident whether these effects can be attributed to the constrained ankle moment control or to avoidance of this gap. Therefore, we investigated if the effects of ankle moment constraints are dependent on whether participants walk on a normal treadmill or a split-belt treadmill. We included fourteen healthy young adults. Walking with constrained ankle moment control resulted in a wider step width on both treadmills. Yet, the increase in step width was larger on the split-belt treadmill compared to on the normal treadmill. We only found a decreased degree of foot placement control on the split-belt treadmill, whilst the degree of foot placement control increased on the normal treadmill. We conclude that the effects of ankle moment constraints reported in our previous study were confounded by the use of a split-belt treadmill. For future research, we recommend using a normal treadmill whenever possible, because the gap in a split-belt treadmill might affect gait parameters.

biophysics↗