A modular approach to situation identification of the dynamics of bacterial populations synthesizing poly-β-hydroxybutyrate

Biotechnological processes involving bacteria are strongly nonlinear. Therefore, both their productivity and the final product quality may be considerably improved by applying appropriate control strategies to modulate behavior of the bacteria during transitional states. This requires advance identification of indicative signals by off-line investigation (i.e. experimental analysis) and on-line monitoring, (i.e. real time evaluation). A modular scheme is presented for doing this, which incorporates an Extended Kalman Filter and a prediction filter. If this is based on a suitable process-feature vector, which must be chosen in advance, the system can provide sufficient information to trigger appropriate feedback signals. Thus, it can provide a key element in modular situation control, allowing continuously periodic process management. In this publication the individual modules involved, and their assembly into an integrated system are described. Potential problems concerning selection of the feature vector, and experimental results are also discussed.     

Climate‐driven rampant speciation of the Cape flora

Aim To test whether the radiation of the extremely rich Cape flora is correlated with marine‐driven climate change. Location Middle to Late Miocene in the south‐east Atlantic and the Benguela Upwelling System (BUS) off the west coast of South Africa. Methods We studied the palynology of the thoroughly dated Middle to Late Miocene sediments of Ocean Drilling Program (ODP) Site 1085 retrieved from the Atlantic off the mouth of the Orange River. Both marine upwelling and terrestrial input are recorded at this site, which allows a direct correlation between changes in the terrestrial flora and the marine BUS in the south‐east Atlantic. Results Pollen types from plants of tropical affinity disappeared, and those from the Cape flora gradually increased, between 10 and 6 Ma. Our data corroborate the inferred dating of the diversification in Aizoaceae c. 8 Ma. Main conclusions Inferred vegetation changes for the Late Miocene south‐western African coast are the disappearance of Podocarpus‐dominated Afromontane forests, and a change in the vegetation of the coastal plain from tropical grassland and thicket to semi‐arid succulent vegetation. These changes are indicative of an increased summer drought, and are in step with the development of the southern BUS. They pre‐date the Pliocene uplift of the East African escarpment, suggesting that this did not play a role in stimulating vegetation change. Some Fynbos elements were present throughout the recorded period (from 11 Ma), suggesting that at least some elements of this vegetation were already in place during the onset of the BUS. This is consistent with a marine‐driven climate change in south‐western Africa triggering substantial radiation in the terrestrial flora, especially in the Aizoaceae.     

The lipopolysaccharide of the phototrophic bacterium Ectothiorhodospira vacuolata

The lipopolysaccharide of Ectothiorhodospira vacuolata was obtained by the phenol-water procedure. It contained a 3-O-methyl-hexose, glucose, galacturonic and glucuronic acids. The finding of d-glycero-d-mannoheptose and 2-keto-3-deoxyoctonate (tentatively identified) suggested a core-structure. The lipid fraction of the lipopolysaccharide contained phosphate and both, 2,3-diamino-2,3-dideoxy-d-glucose and d-glucosamine. The major fatty acids were amine-bound 3-OH-10:0 and 3-OH-12:0 and esterbound 14:0 and 16:0 Sodium deoxycholate gel-electrophoresis, showing a single band only, indicated R-type character of the lipopolysaccharide of Ectothiorhodospira vacuolata.Abbreviations DOC sodium deoxycholate - GC/MS combined gasliquid chromatography - PAGE polyacrylamide gel-electrophoresis     

Protein binding sites on Escherichia coli 16S ribosomal RNA; RNA regions that are protected by proteins S7, S9 and S19, and by proteins S8, S15 and S17.

Selected groups of isolated 14C-labelled proteins from E. coli 30S ribosomal subunits were reconstituted with 32P-labelled 16S RNA, and the reconstituted complexes were partially digested with ribonuclease A. RNA fragments protected by the proteins were separated by gel electrophoresis and subjected to sequence analysis. Complexes containing proteins S7 and S19 protected an RNA region comprising helices 29 to 32, part of helix 41, and helices 42 and 43 of the 16S RNA secondary structure. Addition of protein S9 had no effect. When compared with previous data for proteins S7, S9, S14 and S19, these results suggest that S14 interacts with helix 33, and that S9 and S14 together interact with the loop-end of helix 41. Complexes containing proteins S8, S15 and S17 protected helices 7 to 10 as well as the "S8-S15 binding site" (helices 20, 22 and parts of helices 21 and 23). When protein S15 was omitted, S8 and S18 showed protection of part of helix 44 in addition to the latter regions. The results are discussed in terms of our model for the detailed arrangement of proteins and RNA in the 30S subunit.     

A detailed model of the three-dimensional structure of Escherichia coli 16 S ribosomal RNA in situ in the 30 S subunit

A large body of intra-RNA and RNA-protein crosslinking data, obtained in this laboratory, was used to fold the phylogenetically and experimentally established secondary structure of Escherichia coli 16 S RNA into a three-dimensional model. All the crosslinks were induced in intact 30 S subunits (or in some cases in growing E. coli cells), and the sites of crosslinking were precisely localized on the RNA by oligonucleotide analysis. The RNA-protein crosslinking data (including 28 sites, and involving 13 of the 21 30S ribosomal were used to relate the RNA structure to the distribution of the proteins as determined by neutron scattering. The three-dimensional model of the 16 S RNA has overall dimensions of 220 A x 140 A x 90 A, in good agreement with electron microscopic estimates for the 30 S subunit. The shape of the model is also recognizably the same as that seen in electron micrographs, and the positions in the model of bases localized on the 30 S subunit by immunoelectron microscopy (the 5' and 3' termini, the m7G and m6(2)A residues, and C-1400) correspond closely to their experimentally observed positions. The distances between the RNA-protein crosslink sites in the model correlate well with the distances between protein centres of mass obtained by neutron scattering, only two out of 66 distances falling outside the expected tolerance limits. These two distances both involve protein S13, a protein noted for its anomalous behaviour. A comparison with other experimental information not specifically used in deriving the model shows that it fits well with published data on RNA-protein binding sites, mutation sites on the RNA causing resistance to antibiotics, tertiary interactions in the RNA, and a potential secondary structural "switch". Of the sites on 16 S RNA that have been found to be accessible to chemical modification in the 30 S subunit, 87% are at obviously exposed positions in the model. In contrast, 70% of the sites corresponding to positions that have ribose 2'-O-methylations in the eukaryotic 18 S RNA from Xenopus laevis are at non-exposed (i.e. internal) positions in the model. All nine of the modified bases in the E. coli 16 S RNA itself show a remarkable distribution, in that they form a "necklace" in one plane around the "throat" of the subunit. Insertions in eukaryotic 18 S RNA, and corresponding deletions in chloroplast or mammalian mitochondrial ribosomal RNA relative to E. coli 16 S RNA represent distinct sub-domains in the structure.(ABSTRACT TRUNCATED AT 400 WORDS)     

Adenosine deaminase activity in relation to the appearance of early and late Epstein-Barr virus antigens induced in lymphoblastoid cells

Summary Induction of Epstein-Barr virus (EBV) capsid antigen synthesis in 59.6% of P3HR-1 cells was followed by a decrease to 70% in adenosine deaminase (ADA) activity. In Daudi cells synthesizing EBV early antigen, ADA activity did not decrease.