Biomedical subjects

Michael D Hendy

Publications and source records attributed to Michael D Hendy.

4 recordsLinked to original sources

PubMed2003

Testing fundamental evolutionary hypotheses.

Sober and Steel (J. Theor. Biol. 218, 395-408) give important limits on the use of current models with sequence data for studying ancient aspects of evolution; but they go too far in suggesting that several fundamental aspects of evolutionary theory cannot be tested in a normal scientific manner. To the contrary, we show examples of how some alternatives to the theory of descent can be formulated in such a way that they lead to predictions that can be evaluated (and rejected). The critical factor is a logical formulation of the alternatives, even though not all possible alternatives can be tested simultaneously. Similarly, some of the limits using DNA sequence data can be overcome by other types of sequence derived characters. The uniqueness (or not) of the origin of life, though still difficult, is similarly amenable to the testing of alternative hypotheses.

Animals↗

PubMed2003

A search for H/ACA snoRNAs in yeast using MFE secondary structure prediction.

MOTIVATION: Noncoding RNA genes produce functional RNA molecules rather than coding for proteins. One such family is the H/ACA snoRNAs. Unlike the related C/D snoRNAs these have resisted automated detection to date. RESULTS: We develop an algorithm to screen the yeast genome for novel H/ACA snoRNAs. To achieve this, we introduce some new methods for facilitating the search for noncoding RNAs in genomic sequences which are based on properties of predicted minimum free-energy (MFE) secondary structures. The algorithm has been implemented and can be generalized to enable screening of other eukaryote genomes. We find that use of primary sequence alone is insufficient for identifying novel H/ACA snoRNAs. Only the use of secondary structure filters reduces the number of candidates to a manageable size. From genomic context, we identify three strong H/ACA snoRNA candidates. These together with a further 47 candidates obtained by our analysis are being experimentally screened.

Algorithms↗

PubMed2003

The combinatorics of tandem duplication trees.

We developed a recurrence relation that counts the number of tandem duplication trees (either rooted or unrooted) that are consistent with a set of n tandemly repeated sequences generated under the standard unequal recombination (or crossover) model of tandem duplications. The number of rooted duplication trees is exactly twice the number of unrooted trees, which means that on average only two positions for a root on a duplication tree are possible. Using the recurrence, we tabulated these numbers for small values of n. We also developed an asymptotic formula that for large n provides estimates for these numbers. These numbers give a priori probabilities for phylogenies of the repeated sequences to be duplication trees. This work extends earlier studies where exhaustive counts of the numbers for small n were obtained. One application showed the significance of finding that most maximum-parsimony trees constructed from repeat sequences from human immunoglobins and T-cell receptors were tandem duplication trees. Those findings provided strong support to the proposed mechanisms of tandem gene duplication. The recurrence relation also suggests efficient algorithms to recognize duplication trees and to generate random duplication trees for simulation. We present a linear-time recognition algorithm.

Algorithms↗

PubMed2002

Four new mitochondrial genomes and the increased stability of evolutionary trees of mammals from improved taxon sampling.

We have sequenced four new mitochondrial genomes to improve the stability of the tree for placental mammals; they are two insectivores (a gymnure, Echinosorex gymnurus and Formosan shrew Soriculus fumidus); a Formosan lesser horseshoe bat (Rhinolophus monoceros); and the New Zealand fur seal (Arctocephalus forsteri). A revision to the hedgehog sequence (Erinaceus europaeus) is also reported. All five are from the Laurasiatheria grouping of eutherian mammals. On this new data set there is a strong tendency for the hedgehog and its relative, the gymnure, to join with the other Laurasiatherian insectivores (mole and shrews). To quantify the stability of trees from this data we define, based on nuclear sequences, a major four-way split in Laurasiatherians. This ([Xenarthra, Afrotheria], [Laurasiatheria, Supraprimates]) split is also found from mitochondrial genomes using either protein-coding or RNA (rRNA and tRNA) data sets. The high similarity of the mitochondrial and nuclear-derived trees allows a quantitative estimate of the stability of trees from independent data sets, as detected from a triplet Markov analysis. There are significant changes in the mutational processes within placental mammals that are ignored by current tree programs. On the basis of our quantitative results, we expect the evolutionary tree for mammals to be resolved quickly, and this will allow other problems to be solved.

Animals↗