Lysyl oxidase ( Lox ) maps between Grl-1 and Adrb-2 on mouse Chromosome 18

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/47002/1/335_2004_Article_BF00352234.pd

Homologs of genes and anonymous loci on human Chromosome 13 map to mouse Chromosomes 8 and 14

To enhance the comparative map for human Chromosome (Chr) 13, we identified clones for human genes and anonymous loci that cross-hybridized with their mouse homologs and then used linkage crosses for mapping. Of the clones for four genes and twelve anonymous loci tested, cross-hybridization was found for six, COL4A1, COL4A2, D13S26, D13S35, F10, and PCCA. Strong evidence for homology was found for COL4A1, COL4A2, D13S26, D13S35, and F10, but only circumstantial homology evidence was obtained for PCCA. To genetically map these mouse homologs ( Cf10, Col4a1, Col4a2, D14H13S26, D8H13S35 , and Pcca-rs ), we used interspecific and intersubspecific mapping panels. D14H13S26 and Pcca-rs were located on the distal portion of mouse Chr 14 extending by ∼30 cM the conserved linkage between human Chr 13 and mouse Chr 14, assuming that Pcca-rs is the mouse homolog of PCCA. By contrast, Cf10, Col4a1, Col4a2 , and D8H13S35 mapped near the centromere of mouse Chr 8, defining a new conserved linkage. Finally, we identified either a closely linked sequence related to Col4a2 , or a recombination hot-spot between Col4a1 and Col4a2 that has been conserved in humans and mice.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/47022/1/335_2004_Article_BF00352413.pd

Mouse Chromosome 11

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/46996/1/335_2004_Article_BF00648429.pd

An assessment of the accuracy of the Spatial Integration Method (SIM) for estimating coarse bedload transport in gravel-bedded streams using tracers

The accurate estimation of coarse sediment transport rate remains one of the goals of geomorphological and engineering studies of river channels. This paper describes an experiment designed to assess the accuracy of the Spatial Integration Method (SIM) of determining sediment transport rate or yield, using passive tracers. Tracer dispersion results are presented from five events of different magnitude. The study concludes that the SIM is capable of producing estimates of sediment transport rate that correspond with trapped values. Sources of error are quantified and guidance is given on the appropriate methods for deploying passive tracers for the estimation of coarse sediment transport rates

Grain-shape analysis – A new method for determining representative particle shapes for populations of natural grains

The size sorting and shape sorting of gravel bedload by running water often is investigated using identifiable tracer grains that represent the grains within the riverbed. A new, robust, and reproducible method is described for the objective selection of three-dimensional shapes that are representative of the variety of shape within any whole sample. Widespread adoption of the method would ensure comparability between the shape-sorting results of different experiments. The approach identifies average and extreme grain shapes from natural gravel samples. Importantly, tracer dimensions are derived that form shapes with equal volume, thus ensuring that the shape of the tracers is the only transport variable. The method is tested on seven gravel samples from a range of fluvial, beach, and scree-slope environments as well as different sieve sizes. Initially, measurements of the short (S), intermediate (I), and long (L) orthogonal axes of clasts are made from selected sieve intervals that represent the spread in the size distribution of the natural gravel. Shapes are identified to be within the realms of the observed shapes of the sampled population: four extreme shapes are identified (a blade, a rod, a spheroid, and a discoid) as well as a median form. The starting points of the analysis are the Zingg ratios S/I and I/L. However, these quantities require polar coordinate transformation to be useful in shape selection. The polar coordinate quantities form a joint probability density function that is the product of the marginal distributions of the new shape indices and the axes of the shape diagram. Utilizing and combining extreme percentiles of these latter distributions identifies the required shapes. A reverse transformation returns these selected quantities back into Zingg indices. Finally, using the intermediate axial dimensions and the volume ratio, the final tracer dimensions are found