Human brain mechanisms of auditory and audiovisual selective attention

Selective attention refers to the process in which certain information is actively selected for conscious processing, while other information is ignored. The aim of the present studies was to investigate the human brain mechanisms of auditory and audiovisual selective attention with functional magnetic resonance imaging (fMRI), electroencephalography (EEG) and magnetoencephalography (MEG). The main focus was on attention-related processing in the auditory cortex. It was found that selective attention to sounds strongly enhances auditory cortex activity associated with processing the sounds. In addition, the amplitude of this attention-related modulation was shown to increase with the presentation rate of attended sounds. Attention to the pitch of sounds and to their location appeared to enhance activity in overlapping auditory-cortex regions. However, attention to location produced stronger activity than attention to pitch in the temporo-parietal junction and frontal cortical regions. In addition, a study on bimodal attentional selection found stronger audiovisual than auditory or visual attention-related modulations in the auditory cortex. These results were discussed in light of Näätänen s attentional-trace theory and other research concerning the brain mechanisms of selective attention.

Characterization of lignin-modifying enzymes of the selective white-rot fungus Physisporinus rivulosus

White-rot fungi are wood degrading organisms that are able to decompose all wood polymers; lignin, cellulose and hemicellulose. Especially the selective white-rot fungi that decompose preferentially wood lignin are promising for biopulping applications. In biopulping the pretreatment of wood chips with white-rot fungi enhances the subsequent pulping step and substantially reduces the refining energy consumption in mechanical pulping. Because it is not possible to carry out biopulping in industrial scale as a closed process it has been necessary to search for new selective strains of white-rot fungi which naturally occur in Finland and cause selective white-rot of Finnish wood raw-material. In a screening of 300 fungal strains a rare polypore, Physisporinus rivulosus strain T241i isolated from a forest burn research site, was found to be a selective lignin degrader and promising for the use in biopulping. Since selective lignin degradation is apparently essential for biopulping, knowledge on lignin-modifying enzymes and the regulation of their production by a biopulping fungus is needed. White-rot fungal enzymes that participate in lignin degradation are laccase, lignin peroxidase (LiP), manganese peroxidase (MnP), versatile peroxidase (VP) and hydrogen peroxide forming enzymes. In this study, P. rivulosus was observed to produce MnP, laccase and oxalic acid during growth on wood chips. In liquid cultures manganese and veratryl alcohol increased the production of acidic MnP isoforms detected also in wood chip cultures. Laccase production by P. rivulosus was low unless the cultures were supplemented with sawdust and charred wood, the components of natural growth environment of the fungus. In white-rot fungi the lignin-modifying enzymes are typically present as multiple isoforms. In this study, two MnP encoding genes, mnpA and mnpB, were cloned and characterized from P. rivulosus T241i. Analysis of the N-terminal amino acid sequences of two purified MnPs and putative amino acid sequence of the two cloned mnp genes suggested that P. rivulosus possesses at least four mnp genes. The genes mnpA and mnpB markedly differ from each other by the gene length, sequence and intron-exon structure. In addition, their expression is differentially affected by the addition of manganese and veratryl alcohol. P. rivulosus produced laccase as at least two isoforms. The results of this study revealed that the production of MnP and laccase was differentially regulated in P. rivulosus, which ensures the efficient lignin degradation under a variety of environmental conditions.

Optimisation Problems in Wireless Sensor Networks : Local Algorithms and Local Graphs

This thesis studies optimisation problems related to modern large-scale distributed systems, such as wireless sensor networks and wireless ad-hoc networks. The concrete tasks that we use as motivating examples are the following: (i) maximising the lifetime of a battery-powered wireless sensor network, (ii) maximising the capacity of a wireless communication network, and (iii) minimising the number of sensors in a surveillance application. A sensor node consumes energy both when it is transmitting or forwarding data, and when it is performing measurements. Hence task (i), lifetime maximisation, can be approached from two different perspectives. First, we can seek for optimal data flows that make the most out of the energy resources available in the network; such optimisation problems are examples of so-called max-min linear programs. Second, we can conserve energy by putting redundant sensors into sleep mode; we arrive at the sleep scheduling problem, in which the objective is to find an optimal schedule that determines when each sensor node is asleep and when it is awake. In a wireless network simultaneous radio transmissions may interfere with each other. Task (ii), capacity maximisation, therefore gives rise to another scheduling problem, the activity scheduling problem, in which the objective is to find a minimum-length conflict-free schedule that satisfies the data transmission requirements of all wireless communication links. Task (iii), minimising the number of sensors, is related to the classical graph problem of finding a minimum dominating set. However, if we are not only interested in detecting an intruder but also locating the intruder, it is not sufficient to solve the dominating set problem; formulations such as minimum-size identifying codes and locating dominating codes are more appropriate. This thesis presents approximation algorithms for each of these optimisation problems, i.e., for max-min linear programs, sleep scheduling, activity scheduling, identifying codes, and locating dominating codes. Two complementary approaches are taken. The main focus is on local algorithms, which are constant-time distributed algorithms. The contributions include local approximation algorithms for max-min linear programs, sleep scheduling, and activity scheduling. In the case of max-min linear programs, tight upper and lower bounds are proved for the best possible approximation ratio that can be achieved by any local algorithm. The second approach is the study of centralised polynomial-time algorithms in local graphs these are geometric graphs whose structure exhibits spatial locality. Among other contributions, it is shown that while identifying codes and locating dominating codes are hard to approximate in general graphs, they admit a polynomial-time approximation scheme in local graphs.

Folding and Selective Exit of Reporter Proteins from the Yeast Endoplasmic Reticulum

The present study analyses the traffic of Hsp150 fusion proteins through the endoplasmic reticulum (ER) of yeast cells, from their post-translational translocation and folding to their exit from the ER via a selective COPI-independent pathway. The reporter proteins used in the present work are: Hsp150p, an O-glycosylated natural secretory protein of Saccharomyces cerevisiae, as well as fusion proteins consisting of a fragment of Hsp150 that facilitates in the yeast ER proper folding of heterologous proteins fused to it. It is thought that newly synthesized polypeptides are kept in an unfolded form by cytosolic chaperones to facilitate the post-translational translocation across the ER membrane. However, beta-lactamase, fused to the Hsp150 fragment, folds in the cytosol into bioactive conformation. Irreversible binding of benzylpenicillin locked beta-lactamase into a globular conformation, and prevented the translocation of the fusion protein. This indicates that under normal conditions the beta-lactamase portion unfolds for translocation. Cytosolic machinery must be responsible for the unfolding. The unfolding is a prerequisite for translocation through the Sec61 channel into the lumen of the ER, where the polypeptide is again folded into a bioactive and secretion-competent conformation. Lhs1p is a member of the Hsp70 family, which functions in the conformational repair of misfolded proteins in the yeast ER. It contains Hsp70 motifs, thus it has been thought to be an ATPase, like other Hsp70 members. In order to understand its activity, authentic Lhs1p and its recombinant forms expressed in E. coli, were purified. However, no ATPase activity of Lhs1p could be detected. Nor could physical interaction between Lhs1p and activators of the ER Hsp70 chaperone Kar2p, such as the J-domain proteins Sec63p, Scj1p, and Jem1p and the nucleotide exchange factor Sil1p, be demonstrated. The domain structure of Lhs1p was modelled, and found to consist of an ATPase-like domain, a domain resembling the peptide-binding domain (PBD) of Hsp70 proteins, and a C-terminal extension. Crosslinking experiments showed that Lhs1p and Kar2p interact. The interacting domains were the C-terminal extension of Lhs1p and the ATPase domain of Kar2p, and this interaction was independent of ATPase activity of Kar2p. A model is presented where the C-terminal part of Lhs1p forms a Bag-like 3 helices bundle that might serve in the nucleotide exchange function for Kar2p in translocation and folding of secretory proteins in the ER. Exit of secretory proteins in COPII-coated vesicles is believed to be dependent of retrograde transport from the Golgi to the ER in COPI-coated vesicles. It is thought that receptors escaping to the Golgi must be recycled back to the ER exit sites to recruit cargo proteins. We found that Hsp150 leaves the ER even in the absence of functional COPI-traffic from the Golgi to the ER. Thus, an alternative, COPI-independent ER exit pathway must exists, and Hsp150 is recruited to this route. The region containing the signature guiding Hsp150 to this alternative pathway was mapped.

Responses of Scots pine to nickel and copper exposure and herbivory

The goal of this thesis was to examine the ecophysiological responses of Scots pine (Pinus sylvestris L.), with an emphasis on the oxidative enzyme peroxidase and plant phenolics to environmental stresses like elevated levels of nickel (Ni) and copper (Cu), and herbivory. The effects of Ni and Cu were studied in a gradient survey at a sulphur dioxide contaminated site in the Kola Peninsula, and with experiments in which seedlings were exposed to Ni mist or to Ni and Cu amended into the soil. In addition, experimental Ni exposure was combined with disturbance of the natural lichen cover of the forest ground layer. Pine sawfly attack was simulated in the early season defoliation experiment, in which mature Scots pine were defoliated (100 %) during two successive years in a dry, nutrient-poor Scots pine stand. In addition, the effect of previous defoliation on the growth of sawfly (Diprion pini L.) larvae was studied. Apoplastic peroxidase activity was elevated in the needles of pine in a Ni- , Cu- and SO2- polluted environment, which indicated an increased oxidative stress. Increased foliar peroxidase activity due to Ni contamination was shown in the experiment, in which Ni was added as mist. No such response was found in peroxidase acitivity of the roots exposed to elevated Ni and/or Cu in the soil. Elevated Ni in the soil increased the concentration of foliar condensed tannins, which are able to bind heavy metals in the cells. Addition of low levels of Ni in the soil appeared to benefit pine seedlings, which was seen as promoted shoot growth and better condition of the roots. Wet Ni deposition of 2000 mg m-2 reduced growth and survival of pine seedlings, whereas deposition levels 200 mg m-2 or 20 mg m-2 caused no effects in a 2-y lasting experiment. The lichen mat on the forest floor did not act as an effective buffer against the adverse impacts of heavy metals on pine seedlings. However, some evidence was found indicating that soil microbes profited from the lichen mat. Artificial defoliation increased peroxidase activity in the Scots pine needles. In addition, defoliation decreased nitrogen, diamine putrescine and glucose concentrations in the needles and increased the concentrations of several phenolic compounds, starch and sucrose. Previous artificial defoliation led to poor growth of sawfly larvae reared on the pines, suggesting delayed induced resistance in Scots pine. However, there was no consistent relationship between inducibility (proportional increase in a compound following defoliation) and adverse effects on the growth of pine sawfly larvae. The observed inducible responses in needle phenolics due to previous defoliation thus appear to represent non-specific responses against sawflies.