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Biomedical subjects

J M Gleason

Publications and source records attributed to J M Gleason.

At least 19 recordsLinked to original sources

Quantitative trait loci affecting a courtship signal in Drosophila melanogaster.

Courtship plays a major role in the sexual isolation of species, yet the genetics underlying courtship behaviour are poorly understood. Here we analyse quantitative trait loci (QTL) for a major component of courtship song in recombinant inbred lines derived from two laboratory strains of Drosophila melanogaster. The total variance among lines exceeds that between parental strains, and is broadly similar to that seen among geographic strains of the Cosmopolitan form of this species. Previous studies of the quantitative genetics of fly song have implied a polygenic additive inheritance with numerous genes spread throughout the genome. We find evidence for only three significant QTLs explaining 54% of the genetic variance in total. Thus there is evidence for a few large effect genes contributing to the genetic variance among lines. Interestingly, almost all of the candidate song genes previously described for D. melanogaster do not coincide with our QTLs.

Animals↗

Mitochondrial DNA variation and GIS analysis confirm a secondary origin of geographical variation in the bushcricket Ephippiger ephippiger (Orthoptera: Tettigonioidea), and resurrect two subspecies.

Geographic variation within species can originate through selection and drift in situ (primary variation) or from vicariant episodes (secondary variation). Most patterns of subspecific variation within European flora and fauna are thought to have secondary origins, reflecting isolation in refugia during Quaternary ice ages. The bushcricket Ephippiger ephippiger has an unusual pattern of geographical variability in morphology, behaviour and allozymes in southern France, which has been interpreted as reflecting recent primary origins rather than historical isolation. Re-analysis of this variation using Geographical Information Systems (GIS) suggests a possible zone of hybridization within a complex pattern of geographical variation. Here we produce a genetic distance matrix from restriction fragment length polymorphism (RFLP) bandsharing of an approximately 4.5 kb fragment of mitochondrial DNA (mtDNA), and compare this with predictions resulting from the GIS analysis. The mtDNA variation supports a postglacial origin of geographical variation. Partial Mantel test comparisons of genetic distances with matrices of geographical distance, relevant environmental characteristics and possible refugia show refugia to be the best predictors of genetic distance. There is no evidence to support isolation by distance. However, environmental contrasts do explain significant variation in genetic distance after allowing for the effect of refugial origin. Also, a neighbour-joining tree has a major division separating eastern and western forms. We conclude that the major source of variation within the species is historical isolation in glacial refugia, but that dispersal, hybridization and selection associated with environmental features has influenced patterns of mtDNA introgression. At least two valid subspecies can be defined.

Animals↗

Interspecific and intraspecific comparisons of the period locus in the Drosophila willistoni sibling species.

The period (per) locus has received much attention in molecular evolution studies because it is one of the best studied "behavioral genes" and because it offers insight into the evolution of repetitive sequences. We studied most of the coding region of per in Drosophila willistoni and confirmed previously observed patterns of conservation and divergence among distantly related species. Five regions are so highly diverged that they cannot be aligned, whereas a region encompassing the PAS domain is very conserved. Structural and nucleotide polymorphism patterns in the willistoni group are not the same as those observed in previously studied species. We sequenced the region homologous to the highly polymorphic threonine-glycine repeat of D. melanogaster in multiple strains of D. willistoni, as well as in other members of willistoni group, and found an unusual amount of conservation in this region. However, the next nonconserved region downstream in the sequence is quite variable and polymorphic for the number of repeated glycines. The glycine codon usage is significantly different in this glycine repeat as compared to other parts of the gene. We were able to plot the directionality of change in the glycine repeat region onto a phylogeny and find that the addition of glycines is the general trend with the diversification of the willistoni group.

Amino Acid Sequence↗

A molecular phylogeny for the Drosophila melanogaster subgroup and the problem of polymorphism data.

Drosophila melanogaster belongs to a closely related group of eight species collectively known as the melanogaster subgroup; all are native to sub-Saharan Africa and islands off the east coast of Africa. The phylogenetic relationships of most species in this subgroup have been well documented; however, the three most closely related species, D. simulans, D. sechellia, and D. mauritiana, have remained problematic from a phylogenetic standpoint as no data set has unambiguously resolved them. We present new DNA sequence data on the nullo and Serendipity-alpha genes and combine them with all available nuclear DNA sequence data; the total data encompass 12 genes and the ITS of rDNA. A methodological problem arose because nine of the genes had information on intraspecific polymorphisms in at least one species. We explored the effect of inclusion/exclusion of polymorphic sites and found that it had very little effect on phylogenetic inferences, due largely to the fact that 82% of polymorphisms are autapomorphies (unique to one species). We have also reanalyzed our previous DNA-DNA hybridization data with a bootstrap procedure. The combined sequence data set and the DNA-DNA hybridization data strongly support the sister status of the two island species, D. sechellia and D. mauritiana. This at least partially resolves what had been a paradox of parallel evolution in these two species.

Animals↗

Rates of DNA evolution in Drosophila depend on function and developmental stage of expression.

DNA-sequence divergence of genes expressed in the embryonic stage was compared with the divergence of genes expressed in adults for 13 species of Drosophila representing various degrees of relatedness. DNA-DNA hybridization experiments were conducted using as tracers complementary DNA (cDNA) reversed transcribed from poly(A)+ mRNA isolated from different developmental stages. The results indicate: (1) cDNA is less diverged than total single-copy DNA; (2) cDNA sequences are not in the rapidly evolving fraction of the single-copy genome of Drosophila; (3) early in evolutionary divergence embryonic messages are about half as diverged as adult messages; sequence data from some of the species compared indicate this is likely due to differences in rates of silent substitutions in genes expressed at different stages of development; and (4) at greater evolutionary distance, the differences in embryonic and adult messages disappear; this could be due to lineage-specific shifts in codon usage.

Animals↗

Complementary DNA-DNA hybridization in Drosophila.

We have performed DNA-DNA hybridization experiments among several species of Drosophila using the evolutionarily conserved portion of the genome representing sequences coding for amino acids of proteins. This was done by using as tracer, radioactively labeled complementary DNA that was reverse transcribed from adult mRNA. We show that this procedure extends phylogenetically the distance over which the technique can be applied to fast-evolving groups such as Drosophila. The major phylogenetic conclusions are (1) the subgenus Sophophora is a monophyletic lineage; (2) within Sophophora the melanogaster subgroup is closer to the obscura group than either group is to the willistoni group; (3) the subgenus Drosophila is complex with most major lineages originating deep in the phylogeny; the subgenus may not be monophyletic; (4) as with most groups classically placed in Drosophila, the Hawaiian Drosophila originate early, supporting the notion that this lineage is older than the extant islands; and (5) the virilis/repleta lineage is monophyletic within Drosophila.

Animals↗

Empirical tests of the intrinsic pseudorandom number generator on IBM-compatible microcomputers.

This paper reports results of frequency and serial correlation tests, for 30 different seeds and two different seeding mechanisms (the RANDOMIZE statement and the RND function), of a Microsoft pseudorandom number generator available on IBM-compatible (and some IBM) microcomputers. The generator is shown to perform well on these screening tests, in comparison to previously reported results for the Microsoft generator available on IBM-PC microcomputers. However, the generator seeding mechanisms--the RANDOMIZE statement and the RND function--exhibit anomalies similar to those of the IBM-PC generator, and could result in seeding which is inconsistent with the desire of the user. Furthermore, the differences in the randomness characteristics of sequences of numbers generated by IBM and IBM-compatible microcomputers have serious implications regarding the true compatibility of the two types of microcomputers.

Mathematical Computing↗

Statistical tests of the IBM PC pseudorandom number generator.

The widespread use of IBM personal computers in biomedical research and medical practice is evidenced by a variety of journal articles. Many of the application programs are written in the BASIC language, they model a stochastic process, and they depend on the Microsoft random number generator. Unfortunately, the Microsoft generator has exhibited a number of flaws including, for some seeds, a lack of uniformity of generated sequences of numbers, and serial correlation within such sequences. This paper provides evidence of these problems for several seeds, and provides suggestions for acceptable seeds which ensure that the generated sequences of numbers pass two fundamental statistical tests for randomness.

Computer Simulation↗