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We inferred parallel changes and/or reversals under evolutionary scenarios that, according to maximum parsimony, required two substitutions.
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A prime reason for this is that reliable methods of tree construction, such as maximum likelihood (ML) and maximum parsimony (MP), require considerable amounts of computational power.
Human miRNAs' ages were inferred by using maximum parsimony criterion, which requires that the miRNA family should have the least evolutionary changes (gains and losses) along the phylogeny tree.
Maximum parsimony considers the evolutionary reconstruction that requires the least amount of evolutionary changes to be the most likely description of what actually happened.
Of course, the maximum parsimony method reconstructs the ancestral state that requires the smallest number of state changes.
The maximum parsimony method constructs a phylogenetic tree that requires the least number of evolutionary events to explain the observed sequence data.
Maximum parsimony methods seek to reconstruct the tree that requires the fewest (i.e., most parsimonious) number of changes summed along all branches.
The basic idea behind maximum parsimony is to find a most parsimonious phylogenetic tree; that is, a tree that requires the fewest mutations to explain the observed sequences.
Character-based methods, such as maximum parsimony [ 6] or maximum-likelihood [ 7], would require an evaluation of super-exponentially many topologies, so one reverts to heuristics.
We used maximum parsimony (MP) to search for the most parsimonious trees, i.e., solutions that require the least amount of change.
Unweighted maximum parsimony analysis yielded five equally parsimonious trees.
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