A plasmid library of chloroplast (Cp) DNA from Chlamydomonas reinhardtii was used to screen for transcripts which respond to light. A transcript of R03, a 1,300 bp EcoRI fragment, was identified as a message which accumulates in darkness. The transcribed region of R03 showed extensive sequence homology with the Escherichia coli elongation factor gene, tufA. A gene-specific probe was constructed. Northern blots were used to study the extent and kinetics of accumulation of this transcript in darkness and in the presence of antibiotic inhibitors of Cp ribosomes. For comparison, the effects of darkness and antibiotics on the steady state levels of psbA, rbcL, and 16S rRNA were also studied. We conclude that the tuf transcript shows the greatest increase in darkness and in the presence of antibiotics.

Light induces chloroplast (Cp) differentiation in dark-grown y-1 strains of Chlamydomonas reinhardtii. Slot blot analysis was used to quantitate tufA, psbA, psbK, rbcL, and 16S rRNA transcript accumulation and transcription during Cp differentiation. When etiolated cc-125 y-1 cells were illuminated for 5 h, a 1710 bp tufA mRNA accumulated up to 5-fold while the psbA, rbcL, and 16S rRNA transcripts accumulated less than 1.5-fold. The tufA gene encodes translational elongation factor EF-Tu. The light-induced accumulation of tufA mRNA did not occur in cc-1931, a strain that does not become etiolated in darkness. Pulse labelling was used to measure the transcription of Cp transcripts during tufA mRNA accumulation, and no detectable change in tufA transcription was observed. These results imply that the half life of the tufA transcript increases during the greening process.

The National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) Central Repository makes data and biospecimens from NIDDK-funded research available to the broader scientific community. It thereby facilitates: the testing of new hypotheses without new data or biospecimen collection; pooling data across several studies to increase statistical power; and informative genetic analyses using the Repository’s well-curated phenotypic data. This article describes the initial database plan for the Repository and its revision using a simpler model. Among the lessons learned were the trade-offs between the complexity of a database design and the costs in time and money of implementation; the importance of integrating consent documents into the basic design; the crucial need for linkage files that associate biospecimen IDs with the masked subject IDs used in deposited data sets; and the importance of standardized procedures to test the integrity data sets prior to distribution. The Repository is currently tracking 111 ongoing NIDDK-funded studies many of which include genotype data, and it houses over 5 million biospecimens of more than 25 types including serum, plasma, stool, urine, DNA, red blood cells, buffy coat and tissue. Repository resources have supported a range of biochemical, clinical, statistical and genetic research (188 external requests for clinical data and 31 for biospecimens have been approved or are pending). Genetic research has included GWAS, validation studies, development of methods to improve statistical power of GWAS and testing of new statistical methods for genetic research. We anticipate that the future impact of the Repository’s resources on biomedical research will be enhanced by (i) cross-listing of Repository biospecimens in additional searchable databases and biobank catalogs; (ii) ongoing deployment of new applications for querying the contents of the Repository; and (iii) increased harmonization of procedures, data collection strategies, questionnaires etc. across both research studies and within the vocabularies used by different repositories.Database URL: http://www.niddkrepository.org