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G Applebaum

Publications and source records attributed to G Applebaum.

4 recordsLinked to original sources

Phylogenetic relationships of bolitoglossine salamanders: a demonstration of the effects of combining morphological and molecular data sets.

We analyzed sequence data for 555 bp of the mitochondrial gene cytochrome b in plethodontid salamanders, taken from 18 ingroup (tribe Bolitoglossini) and 4 outgroup (tribe Plethodontini) taxa. There were 257 variable sites, of which 219 were phylogenetically informative. Sequence differences among taxa exceeded 20%, and there were up to 15% amino acid differences among the sequences. We also analyzed 37 morphological (including karyological) characters, taken from the literature. Data were analyzed separately and then combined using parsimony and likelihood approaches. There is little conflict between the morphological and DNA data, and that which occurs is at nodes that are weakly supported by one or both of the data sets. Treated separately, the morphological and DNA data provide strong support for some nodes but not for others. The combined data act synergistically so that good support is obtained for nearly all of the nodes in the tree. Recent divergences are supported by silent transitions, and older divergences are supported by a combination of morphological, karyological, DNA transversion, and amino acid changes. Eliminating silent changes from the DNA data improves the consistency index and improves some bootstrap and decay index values for several deeper branches in the tree. However, the combined data set with all characters included provides a better supported tree overall. Maximum likelihood and parsimony with all of the data give not only the same topology but also remarkably similar branch lengths. Results of this analysis support the monopoly of the supergenera Hydromantes and Batrachoseps, and of a sister group relationship of Batrachoseps and the supergenus Bolitoglossa (represented in this study one species of the genus Bolitoglossa).

Animals↗

Plasma specific gravity for identifying hypovolaemia.

To define ranges of plasma specific gravity useful for identifying volume depletion in older adults, plasma specific gravity was measured in 170 young adults (mean age 28 years) and 100 retirees (mean age 81 years), and ranges of values likely to be associated with volume depletion were defined. Subsequently, measurements of plasma specific gravity were made in 68 older emergency room (ER) patients (mean age 74 years), a few of whom had obvious reasons for being hypovolaemic, e.g. dehydrating diarrhoea, and these results were compared to those for the control groups. Ranges for plasma specific gravity useful for identifying volume depletion were designated as possible hypovolaemia (1.0265-1.0279), probable hypovolaemia (1.0280-1.0294), and hypovolaemia (> or = 1.0295). Using these definitions, there were more older ER patients compared to both young and old control group subjects, respectively, with probable hypovolaemia (21% vs. 5% and 8%; p < 0.03) and hypovolaemia (16% vs. 0% and 0%; p < 0.03). This study establishes ranges for plasma specific gravity for young and old adults likely to be associated with hypovolaemia, and shows that based upon measurement of plasma specific gravity, older ER patients may often be hypovolemic even in the absence of obvious fluid-wasting illnesses. Future studies are needed to identify the risk factors for hypovolaemia in ER patients, and more vigorously substantiate the findings of this study.

Adult↗

Screening techniques for detecting allelic variation in DNA sequences.

This article reviews four 'DNA screening techniques', namely heteroduplex analysis, single-strand conformational polymorphism (SSCP), denaturing gradient gel electrophoresis (DGGE) and temperature gradient gel electrophoresis (TGGE) as tools for the study of allelic variation in natural populations. The resolving power, advantages, and limitations of each technique are discussed and compared. We also provide some criteria for choosing among techniques and illustrate some practical issues with examples taken primarily from our own laboratory experience.

Alleles↗