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Comparing the results of reconciliation analyses to that of methods investigating simple congruence was important for identifying these constraints on host shifts imposed by host phylogeny.
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Species tree reconciliation analyses with every spidroin phylogeny indicated that rooting on the branch leading to Bothriocyrtum californicum fibroin 1 minimized costs associated with gene duplications and losses.
Reconciliation analyses explore all possible mappings of one tree onto another, assigning different costs to evolutionary events and find optimal (i. e. yielding minimal costs) solutions.
Phylogenetic reconciliation analyses (Table 3) show significant evidence of independence between Ficus and pollinator divergence due to either 'duplication' or 'host switching.' Both these types of patterns largely preclude synchronistic wasp-host diversification hypotheses.
However, parsimony-based reconciliation analyses do not take into account branch lengths and divergence times – information that is essential to distinguish between the 'recent host switch' and 'pair of lice lost' hypotheses.
Inspection of nodes for which reconciliation analyses supported cospeciation in TreeMap showed that the strains harboured by Dianthus spp. that belonged to the same generalist fungal species were considered as lineages arisen by cospeciation in the TreeMap reconciliation.
We tested the congruence between the rodent phylogeny and the Tlrs phylogeny based on the MrBayes approach using reconciliation analyses.
Together, phylogenetic inference, statistical parsimony, and reconciliation analyses strongly imply that horizontal transfer among host species and lineage duplication are responsible for much of the phylogenetic incongruence.
Currently, reconciliation analyses infer evolutionary events by choosing a set of event costs (often the default costs in the software, although most tools recommend experimenting with different costs) and constructing reconciliations based on these costs.
Phylogenetic reconstruction of all AAT gene sequences using both Maximum Likelihood (ML) and Bayesian Inference (BI) methods was the basis for subsequent analyses of evolutionary rate changes and reconciliation analyses of gene duplication and loss.
We inferred a maximum likelihood (ML) tree from the concatenated data in the All-w6 matrix and used this as the species tree in subsequent dating and reconciliation analyses.
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