No abstract

In Aspergillus nidulans, loss-of-function mutations in the uapA and azgA genes, encoding the major uric acid-xanthine and hypoxanthine-adenine-guanine permeases, respectively, result in impaired utilization of these purines as sole nitrogen sources. The residual growth of the mutant strains is due to the activity of a broad specificity purine permease. We have identified uapC, the gene coding for this third permease through the isolation of both gain-of-function and loss-of-function mutations. Uptake studies with wild-type and mutant strains confirmed the genetic analysis and showed that the UapC protein contributes 30% and 8-10% to uric acid and hypoxanthine transport rates, respectively. The uapC gene was cloned, its expression studied, its sequence and transcript map established, and the sequence of its putative product analyzed. uapC message accumulation is: (i) weakly induced by 2-thiouric acid; (ii) repressed by ammonium; (iii) dependent on functional uaY and areA regulatory gene products (mediating uric acid induction and nitrogen metabolite repression, respectively); (iv) increased by uapC gain-of-function mutations which specifically, but partially, suppress a leucine to valine mutation in the zinc finger of the protein coded by the areA gene. The putative uapC gene product is a highly hydrophobic protein of 580 amino acids (M(r) = 61,251) including 12-14 putative transmembrane segments. The UapC protein is highly similar (58% identity) to the UapA permease and significantly similar (23-34% identity) to a number of bacterial transporters. Comparisons of the sequences and hydropathy profiles of members of this novel family of transporters yield insights into their structure, functionally important residues, and possible evolutionary relationships.

The proline catabolism gene cluster of Aspergillus nidulans was cloned using a 'brute force' technique which detects clones hybridizing to restriction fragments overlapping chromosomal rearrangements. A number of deletion mutations and a translocation mutation in the cluster have been physically mapped, and an excellent correlation between the genetic and physical maps was established. Transcripts have been identified and orientated for each of the four genes of the cluster. All are monocistronic by size. All of the transcripts, including that of the regulatory gene prnA, are inducible. Using deletion endpoints and mRNA sizes, approximate gene positions on the physical map have been determined. Finally, the relationship between genetic and physical distance across the cluster has been estimated at 3-4 kilobases per centiMorgan.