Do unusual site-specific population dynamics of rodent reservoirs provide clues to the natural history of hantaviruses?

Between January 1995 and November 1997, longitudinal mark-recapture studies of rodent hosts of hantaviruses in a disturbed microhabitat within a shortgrass prairie ecosystem in southeastern Colorado (USA) were conducted. The site was distinguished by edaphic and floristic characteristics unique to this area and associated with historical land use patterns, as well as the year-around availability of water from a functioning windmill. Populations of two common rodent species that are hosts for hantaviruses, Peromyscus maniculatus and Reithrodontomys megalotis, had unusually rapid turnover, a younger age structure, and a much lower prevalence of antibody to Sin Nombre virus than did populations at nearby sites in more typical shortgrass prairie and canyon habitats. Based on these findings, we suggest that a stable resident population of the reservoir is critical to the maintenance of hantaviruses at a given site, and we hypothesize that long-lived, persistently infected rodents are the principal transseasonal reservoir of hantaviruses.

Dual captures of Colorado rodents: implications for transmission of hantaviruses.

We analyzed dual-capture data collected during longitudinal studies monitoring transmission and persistence of Sin Nombre virus in rodents in Colorado. Our data indicate that multiple captures (two or more rodents captured in a single trap) may not be random, as indicated by previous studies, but rather the result of underlying, species-specific social behavior or cohesiveness. In the pairs we captured, most often, rodents were of the same species, were male, and could be recaptured as pairs. Therefore, dual captures of rodents, which are unusual but not rare, tend to occur among certain species, and appear to be nonrandom, group-foraging encounters. These demographic and ecologic characteristics may have implications for the study of the transmission of hantaviruses.

Repeated emergence of epidemic/epizootic Venezuelan equine encephalitis from a single genotype of enzootic subtype ID virus.

Venezuelan equine encephalitis (VEE) epidemics and equine epizootics occurred periodically in the Americas from the 1920s until the early 1970s, when the causative viruses, subtypes IAB and IC, were postulated to have become extinct. Recent outbreaks in Columbia and Venezuela have renewed interest in the source of epidemic/epizootic viruses and their mechanism of interepizootic maintenance. We performed phylogenetic analyses of VEE virus isolates spanning the entire temporal and geographic range of strains available, using 857-nucleotide reverse transcription-PCR products including the E3 and E2 genes. Analyses indicated that epidemic/epizootic viruses are closely related to four distinct, enzootic subtype ID-like lineages. One of these lineages, which occurs in Columbia, Peru, and Venezuela, also included all of the epidemic/epizootic isolates; the remaining three ID-like lineages, which occur in Panama, Peru, Florida, coastal Ecuador, and southwestern Columbia, were apparently not associated with epizootic VEE emergence. Within the Columbia/Peru/Venezuela lineage, three distinct monophyletic groups of epidemic/epizootic viruses were delineated, indicating that VEE emergence has occurred independently at least three times (convergent evolution). Representative, complete E2 amino acid sequences were compared to identify potential determinants of equine virulence and epizootic emergence. Amino acids implicated previously in laboratory mouse attenuation generally did not vary among the natural isolates that we examined, indicating that they probably are not involved in equine virulence changes associated with VEE emergence. Most informative amino acids correlated with phylogenetic relationships rather than phenotypic characteristics, suggesting that VEE emergence has resulted from several distinct combinations of mutations that generate viruses with similar antigenic and equine virulence phenotypes.

Linkage map for the Asian tiger mosquito [Aedes (Stegomyia) albopictus] based on SSCP analysis of RAPD markers.

A linkage map of the Asian tiger mosquito [Aedes (Stegomyia) albopictus (Skuse)] was constructed in an F1 intercross by monitoring the segregation of randomly amplified polymorphic DNA (RAPD) markers analyzed for single-strand conformation polymorphisms (SSCP). We hypothesized that SSCP analysis would reveal point mutations in RAPD fragments that would then segregate as codominant rather than dominant markers which are typically revealed through routine RAPD analysis. Markers were mapped to individual chromosomes by testing for cosegregation with Sex (chromosome I) or a polymorphism at the a-GPD allozyme locus (chromosome II). All other markers that cosegregated were assigned to chromosome III. Six RAPD primers amplified 68 polymorphic markers that segregated in a Mendelian fashion and were mapped. Contrary to our hypothesis, no codominant SSCP polymorphisms were detected, but fractionation of RAPD products on polyacrylamide gels and detection through silver staining proved to be a sensitive technique that allowed us to identify more markers than the standard analysis of RAPD PCR products on agarose gels.

Typing of LaCrosse, snowshoe hare, and Tahyna viruses by analyses of single-strand conformation polymorphisms of the small RNA segments.

Single-strand conformation polymorphism analysis was developed to differentiate the small RNA segments of three California serogroup bunyaviruses. The small RNA segments of La Crosse, snowshoe hare, and Tahyna viruses were reverse transcribed and PCR amplified. The cDNAs were then denatured, rapidly chilled to promote intrastrand reassociation, separated electrophoretically on a nondenaturing gel at room temperature, and silver stained. The resulting single-strand conformation polymorphism patterns were specific for the respective viruses. This molecular technique offers great potential for virus typing and taxonomic studies.

Classification of chromosomes using a probabilistic neural network.

This paper describes the application of a probabilistic neural network (PNN) to the classification of normal human chromosomes. The inputs to the network are 30 different features extracted from each chromosome in digitized images of metaphase spreads. The output is 1 of 24 different classes of chromosomes (the 22 autosomes plus the sex chromosomes X and Y). An updating procedure was implemented to take advantage of the fact that in a normal somatic cell only two chromosomes can be assigned to each class. The network has been tested using the Copenhagen, Edinburgh, and Philadelphia databases of digitized images of human chromosomes. The recognition rates achieved in this study are superior to those reported using either the maximum likelihood or back propagation neural network techniques.