Shallow water rissoiform gastropods from Tristan da Cunha, South Atlantic Ocean, with records of species from Gough Island

Shallow water rissoiform gastropods collected by the Norwegian Scientific Expedition (1937-1938) to Tristan da Cunha are described. The fauna consists of Powellisefia cf. philomelae (Watson) (Rissoidae), three new species of Eatoniella, E. trochiformisa, E. lineuta , and E. tristanensis (Eatoniellidae). two new species of Onoba, O. crassicordara and O. tristanensis (Rissoidae) and Rissoella cf. irma (Bartsch) (Rissoellidae). A small collection from Cough Island is also described, containing three species referred to Onoha , one of which is described as new. O. merelinoides , and a species of Eutoniella. The biogeographie relationships of the fauna are briefly discussed.     

Alterations in the hepatic enzymes following experimental lead poisoning

An investigation on the influence of lead toxicity on some of the hepatic enzymes was studied in rats both after a shorter interval of 15 d and after longer intervals of 60 and 90 d. Three different doses of lead as 5, 10, and 50 mg/kg body wt were administered orally on every alternate day. Whereas significant inhibition of succinic dehydrogenase was seen following lead poisoning, the activity acid and alkaline phosphatase increased with lead intoxication. The histoarchitecture of the liver was grossly intact. Liver accumulated less lead compared to kidney at 60 and 90 d.     

Isolation of nitrogen deregulated mutants of erythromycin biosynthesis

Summary Ammonium represses erythromycin synthesis bySaccharopolyspora erythraea and insensitive mutants to this effect were isolated. Six mutants were selected and one of them produces 50% more antibiotic than the wild type in 100 mM NH₄Cl as nitrogen source. Glutamine synthetase and alanine dehydrogenase levels in the mutants were determined and no differences with wild type strain were observed.     

Knowledge-based simulation of DNA metabolism: prediction of enzyme action

We have developed a knowledge-based simulation of DNA metabolismthat accurately predicts the actions of enzymes on DNA undera large number of environmental conditions. Previous simulationsof enzyme systems rely predominantly on mathematical models.We use a frame-based representation to model enzymes, substratesand conditions. Interactions between these objects are expressedusing production rules and an underlying truth maintenance system.The system performs rapid inference and can explain its reasoning.A graphical interface provides access to all elements of thesimulation, including object representations and explanationgraphs. Predicting enzyme action is the first step in the developmentof a large knowledge base to envision the metabolic pathwaysof DNA replication and repair. Received on February 1, 1990; accepted on October 2, 1990