The human beta-myosin heavy chain gene: sequence diversity and functional characteristics of the protein.

The beta-myosin heavy chain gene (MYH7) encodes the motor protein that drives myocardial contraction. It has been proven to be a disease gene for hypertrophic cardiomyopathy (HCM). We analyzed the DNA sequence variation of MYH7 (about 16 kb) of eight individuals: six patients with HCM and two healthy controls. The overall DNA sequence identity was up to 97.2% compared to Jaenicke and coworkers (Jaenicke et al. [1990] Genomics 8:194-206), while the corresponding amino acid sequences revealed 100% identity. In HCM patients, eleven nucleotide substitutions were identified but no causative disease mutation was found: six were detected in coding, four in intronic, and one in 5' regulatory regions. The average nucleotide diversity across this locus was 0.015% with an average of 0.02% in the coding and 0.012% in the noncoding sequence. Analysis of the kinetic behaviour of beta-MHC in the intact contractile structure of normal individuals and HCM patients revealed apparent rate constants of tension development ranging between 1.58 s(-1) and 1.48 s(-1).

Analysis of BIOLOG GN Substrate Utilization Patterns by Microbial Communities.

BIOLOG GN plates are increasingly used to characterize microbial communities by determining the ability of the communities to oxidize various carbon sources. Studies were done to determine whether the BIOLOG GN plate assay accurately reflects the catabolic potential of the inoculum used. To gain insight into which populations of microbial communities contribute to the BIOLOG patterns, denaturing gradient gel electrophoresis and temperature gradient gel electrophoresis (TGGE) were used to assess the diversity of ribotypes in the inocula and individual wells of BIOLOG plates following incubation. These studies were done with microbial communities from the rhizosphere of potatoes and an activated sludge reactor fed with glucose and peptone. TGGE analyses of BIOLOG wells inoculated with cell suspensions from the potato rhizosphere revealed that, compared with the inoculum, there was a decrease in the number of 16S rRNA gene fragments obtained from various wells, as well as a concomitant loss of populations that had been numerically dominant in the inoculum. The dominant fragments in TGGE gels could be assigned to the gamma subclass of the class Proteobacteria, suggesting that fast-growing bacteria adapted to high substrate concentrations were numerically dominant in the wells and may have been primarily responsible for the patterns of substrate use that were observed. Similarly, the community structure changed in wells inoculated with cells from activated sludge; one or more populations were enriched, but all dominant populations of the inoculum could be detected in at least one well. This study showed that carbon source utilization profiles obtained with BIOLOG GN plates do not necessarily reflect the functional potential of the numerically dominant members of the microbial community used as the inoculum.