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D Janies

Publications and source records attributed to D Janies.

2 recordsLinked to original sources

Multiple sequence alignment in phylogenetic analysis.

Multiple sequence alignment is discussed in light of homology assessments in phylogenetic research. Pairwise and multiple alignment methods are reviewed as exact and heuristic procedures. Since the object of alignment is to create the most efficient statement of initial homology, methods that minimize nonhomology are to be favored. Therefore, among all possible alignments, the one that satisfies the phylogenetic optimality criterion the best should be considered the best alignment. Since all homology statements are subject to testing and explanation this way, consistency of optimality criteria is desirable. This consistency is based on the treatment of alignment gaps as character information and the consistent use of a cost function (e.g., insertion-deletion, transversion, and transition) through analysis from alignment to phylogeny reconstruction. Cost functions are not subject to testing via inspection; hence the assumptions they make should be examined by varying the assumed values in a sensitivity analysis context to test for the robustness of results. Agreement among data may be used to choose an optimal solution set from all of those examined through parameter variation. This idea of consistency between assumption and analysis through alignment and cladogram reconstruction is not limited to parsimony analysis and could and should be applied to other forms of analysis such as maximum likelihood.

Algorithms↗

Development, evolution, and corroboration.

The cloning of genes involved in pathways fundamental to morphogenesis has opened the door to visualizing expression of developmental regulatory genes in many organisms. Expression data have become technical commonplace in analysis of mutants of Drosophila melanogaster and a handful of other genetic model systems. Many researchers have used probes and extended the logic from studies of D. melanogaster for comparisons of expression patterns to infer developmental bases for homologous structures among animals with diverse body plans. This research program has led to exciting but sweeping generalizations about how development evolves. Here we examine several underlying assumptions of this approach in terms of comparative and historical biology. First, we evaluate the logic that underlies the equation of gene expression similarity with homologous morphology. Second, we examine epistemological issues surrounding the descriptive visualization of gene expression patterns. We conclude by examining the role of phylogenetic coding and mapping of these patterns to examine the evolution of complex gene regulatory networks.

Animals↗