On Pattern-Cladistic Analyses Based on Complete Plastid Genome Sequences

The fundamental Hennigian principle, grouping solely on synapomorphy, is seldom used in modern phylogenetics. In the submitted paper, we apply this principle in reanalyzing five datasets comprising 197 complete plastid genomes (plastomes). We focused on the latter because plastome-based DNA sequence data gained dramatic popularity in molecular systematics during the last decade. We show that pattern-cladistic analyses based on complete plastid genome sequences can successfully resolve affinities between plant taxa, simultaneously simplifying both the genomic and analytical frameworks of phylogenetic studies. We developed "Matrix to Newick" (M2N), a program to represent the standard molecular alignment of plastid genomes in the form of trees or relationships directly. Thus, massive plastome-based DNA sequence data can be successfully represented in a relational form rather than as a standard molecular alignment. Application of methods of median supertree construction (the Average Consensus method has been used as an example in this study) or Maximum Parsimony analysis to relational representations of plastome sequence data may help systematist to avoid the complicated assumption-based frameworks of Maximum Likelihood or Bayesian phylogenetics that are most used today in massive plastid sequence data analyses. We also found that significant amounts of pure genomic information that typically accommodate the majority of current plastid phylogenomic studies can be effectively dropped by systematists if they focus on the pattern-cladistics or relational analyses of plastome-based molecular data. The proposed pattern-cladistic approach is a powerful and straightforward heuristic alternative to modern plastome-based phylogenetics.

Synapomorphies Behind Shared Derived Characters: Examples from the Great Apes' Genomic Data

Phylogenetic systematics (e.g., cladistics) is one of the most important analytical frameworks of modern Biology. It seems to be common knowledge that within phylogenetics, 'groups' must be defined based solely on the synapomorphies or on the "derived" characters that unite two or more taxa in a clade or monophyletic group. Thus, the idea of synapomorphy seems to be of fundamental influence and importance. Here I will show that the most common and straightforward understanding of synapomorphy as a shared derived character is not sufficient and eventually must be rejected in favor of Nelson's relational interpretation of such term. Arguing for this point and using three examples from previously published Apes' genomic matrices, I explicitly demonstrate that the relationship (Pongo (Gorilla (Homo, Pan))) with Hylobatidae as a sister taxon, may be successfully recovered by three-taxon statement analysis (3TA) and three-taxon statement average consensus analysis (3TS-ACA) even if all of the evident standard shared derived molecular characters of the relationship (Pongo (Gorilla (Homo, Pan))) with Hylobatidae as a sister taxon, have been excluded from the molecular alignments. Neither conventional Maximum Parsimony nor Maximum Likelihood or Bayesian Inference can do this in such situation. Thus, our results show that the relationship (Pongo (Gorilla (Homo, Pan))) with Hylobatidae as a sister taxon has appeared, in some way, behind standard shared derived characters: the last ones could be excluded, but the relationship remains the same.