Biomedical subjects

John V Freudenstein

Publications and source records attributed to John V Freudenstein.

5 recordsLinked to original sources

PubMed2004

Molecular identification of mycorrhizal fungi in Neuwiedia veratrifolia (Orchidaceae).

We here apply a previously described method for identification of single peloton orchid mycorrhiza to a key orchid group and extend the usefulness in the heterobasidiomycetes of an existing fungal database for identification of mycorrhizal fungi. We amplified and sequenced mitochondrial ribosomal large subunit DNA from fungi in roots of Neuwiedia veratrifolia (Orchidaceae), a member of the small subfamily Apostasioideae that is sister to the remainder of Orchidaceae, and used the extended database to identify the mycorrhizal fungi. Sequences from fungi cultured from Neuwiedia roots and from direct peloton amplifications were analyzed cladistically with sequences determined from reference fungal collections and published sequences. The fungi from Neuwiedia are referred to the heterobasidiomycetous orders Tulasnellales and Ceratobasidiales, indicating that apostasioids utilize the same fungi as other photosynthetic orchids. The majority of Neuwiedia mycobionts came together in a clade with Tulasnella species, but some were most closely related to Thanatephorus. In some cases members of these two clades were isolated from the same orchid plant, providing another example of multiple mycobionts occurring in a single plant.

Basidiomycota↗

PubMed2003

The effects of increasing genetic distance on alignment of, and tree construction from, rDNA internal transcribed spacer sequences.

We examined how alignment of internal transcribed spacers of rDNA in fungi and plants changes with increasing genetic distance by successive removal of sequences from each data set followed by realignment and phylogenetic analysis. Increasing genetic distance can negatively affect phylogenetic reconstruction in two ways. First, it may cause errors in the alignment and therefore the homology hypotheses of the sequence characters. Second, it may cause errors in the homology assessments of character states because of multiple hits on individual branches. These two causes of error in phylogenetic inference were distinguished from one another in our analysis. The errors in alignment caused by increasing genetic distance were primarily due to inserting too few gaps and inserting gaps at the wrong positions. Errors in tree resolution, topology, and/or branch-support values were more often caused by multiple hits than by misaligned positions. This suggests that increasing genetic distance negatively affects our primary homology assessments of character states more severely than our primary homology assessments of characters. We suggest that increasing taxon sampling with the aim of subdividing long branches is a strategy for obtaining reliable alignments.

DNA, Ribosomal Spacer↗

PubMed2002

Uninode coding vs gene tree parsimony for phylogenetic reconstruction using duplicate genes.

Two different methods of using paralogous genes for phylogenetic inference have been proposed: reconciled trees (or gene tree parsimony) and uninode coding. Gene tree parsimony suffers from 10 serious problems, including differential weighting of nucleotide and gap characters, undersampling which can be misinterpreted as synapomorphy, all of the characters not being allowed to interact, and conflict between gene trees being given equal weight, regardless of branch support. These problems are largely avoided by using uninode coding. The uninode coding method is elaborated to address multiple gene duplications within a single gene tree family and handle problems caused by lack of gene tree resolution. An example of vertebrate phylogeny inferred from nine genes is reanalyzed using uninode coding. We suggest that uninode coding be used instead of gene tree parsimony for phylogenetic inference from paralogous genes.

Animals↗

PubMed2002

Amino acid vs. nucleotide characters: challenging preconceived notions.

The 567-terminal analysis of atpB, rbcL, and 18S rDNA was used as an empirical example to test the use of amino acid vs. nucleotide characters for protein-coding genes at deeper taxonomic levels. Nucleotides for atpB and rbcL had 6.5 times the amount of possible synapomorphy as amino acids. Based on parsimony analyses with unordered character states, nucleotides outperformed amino acids for all three measures of phylogenetic signal used (resolution, branch support, and congruence with independent evidence). The nucleotide tree was much more resolved than the amino acid tree, for both large and small clades. Nearly twice the percentage of well-supported clades resolved in the 18S rDNA tree were resolved using nucleotides (91.8%) relative to amino acids (49.2%). The well-supported clades resolved by both character types were much better supported by nucleotides (98.7% vs. 83.8% average jackknife support). The faster evolving nucleotides with a smaller average character-state space outperformed the slower evolving amino acids with a larger average character-state space. Nucleotides outperformed amino acids even with 90% of the terminals deleted. The lack of resolution on the amino acid trees appears to be caused by a lack of congruence among the amino acids, not a lack of replacement substitutions.

Amino Acids↗

PubMed2002

Limitations of relative apparent synapomorphy analysis (RASA) for measuring phylogenetic signal.

In this paper we use hypothetical and empirical data matrices to evaluate the ability of relative apparent synapomorphy analysis (RASA) to measure phylogenetic signal, select outgroups, and identify terminals subject to long-branch attraction. In all cases, except for equal character-state frequencies, RASA indicated extraordinarily high levels of phylogenetic information for hypothetical data matrices that are uninformative regarding relationships among the terminals. Yet, regardless of the number of characters or character-state frequencies, RASA failed to detect phylogenetic signal for hypothetical matrices with strong phylogenetic signal. In our empirical example, RASA indicated increasing phylogenetic signal for matrices for which the strict consensus of the most parsimonious trees is increasingly poorly resolved, clades are increasingly poorly supported, and for which many relationships are in conflict with more widely sampled analyses. RASA is an ineffective approach to identify outgroup terminal(s) with the most plesiomorphic character states for the ingroup. Our hypothetical example demonstrated that RASA preferred outgroup terminals with increasing numbers of convergent character states with ingroup terminals, and rejected the outgroup terminal with all plesiomorphic character states. Our empirical example demonstrated that RASA, in all three cases examined, selected an ingroup terminal, rather than an outgroup terminal, as the best outgroup. In no case was one of the two outgroup terminals even close to being considered the optimal outgroup by RASA. RASA is an ineffective means of identifying problematic long-branch terminals. In our hypothetical example, RASA indicated a terminal as being a problematic long-branch terminal in spite of the terminal being on a zero-length branch and having no possibility of undergoing long-branch attraction with another terminal. RASA also failed to identify actual problematic long-branch terminals that did undergo long-branch attraction, but only after following Lyons-Weiler and Hoelzer's (1997) three-step process to identify and remove terminals subject to long-branch attraction. We conclude that RASA should not be used for any of these purposes.

Algorithms↗