Functional genes and gene array analysis as tools for monitoring hydrocarbon biodegradation

Bioremediation, which is the exploitation of the intrinsic ability of environmental microbes to degrade and remove harmful compounds from nature, is considered to be an environmentally sustainable and cost-effective means for environmental clean-up. However, a comprehensive understanding of the biodegradation potential of microbial communities and their response to decontamination measures is required for the effective management of bioremediation processes. In this thesis, the potential to use hydrocarbon-degradative genes as indicators of aerobic hydrocarbon biodegradation was investigated. Small-scale functional gene macro- and microarrays targeting aliphatic, monoaromatic and low molecular weight polyaromatic hydrocarbon biodegradation were developed in order to simultaneously monitor the biodegradation of mixtures of hydrocarbons. The validity of the array analysis in monitoring hydrocarbon biodegradation was evaluated in microcosm studies and field-scale bioremediation processes by comparing the hybridization signal intensities to hydrocarbon mineralization, real-time polymerase chain reaction (PCR), dot blot hybridization and both chemical and microbiological monitoring data. The results obtained by real-time PCR, dot blot hybridization and gene array analysis were in good agreement with hydrocarbon biodegradation in laboratory-scale microcosms. Mineralization of several hydrocarbons could be monitored simultaneously using gene array analysis. In the field-scale bioremediation processes, the detection and enumeration of hydrocarbon-degradative genes provided important additional information for process optimization and design. In creosote-contaminated groundwater, gene array analysis demonstrated that the aerobic biodegradation potential that was present at the site, but restrained under the oxygen-limited conditions, could be successfully stimulated with aeration and nutrient infiltration. During ex situ bioremediation of diesel oil- and lubrication oil-contaminated soil, the functional gene array analysis revealed inefficient hydrocarbon biodegradation, caused by poor aeration during composting. The functional gene array specifically detected upper and lower biodegradation pathways required for complete mineralization of hydrocarbons. Bacteria representing 1 % of the microbial community could be detected without prior PCR amplification. Molecular biological monitoring methods based on functional genes provide powerful tools for the development of more efficient remediation processes. The parallel detection of several functional genes using functional gene array analysis is an especially promising tool for monitoring the biodegradation of mixtures of hydrocarbons.

Comparative and functional genome analysis of fungi for development of the protein production host Trichoderma reesei

Filamentous fungi of the subphylum Pezizomycotina are well known as protein and secondary metabolite producers. Various industries take advantage of these capabilities. However, the molecular biology of yeasts, i.e. Saccharomycotina and especially that of Saccharomyces cerevisiae, the baker's yeast, is much better known. In an effort to explain fungal phenotypes through their genotypes we have compared protein coding gene contents of Pezizomycotina and Saccharomycotina. Only biomass degradation and secondary metabolism related protein families seem to have expanded recently in Pezizomycotina. Of the protein families clearly diverged between Pezizomycotina and Saccharomycotina, those related to mitochondrial functions emerge as the most prominent. However, the primary metabolism as described in S. cerevisiae is largely conserved in all fungi. Apart from the known secondary metabolism, Pezizomycotina have pathways that could link secondary metabolism to primary metabolism and a wealth of undescribed enzymes. Previous studies of individual Pezizomycotina genomes have shown that regardless of the difference in production efficiency and diversity of secreted proteins, the content of the known secretion machinery genes in Pezizomycotina and Saccharomycotina appears very similar. Genome wide analysis of gene products is therefore needed to better understand the efficient secretion of Pezizomycotina. We have developed methods applicable to transcriptome analysis of non-sequenced organisms. TRAC (Transcriptional profiling with the aid of affinity capture) has been previously developed at VTT for fast, focused transcription analysis. We introduce a version of TRAC that allows more powerful signal amplification and multiplexing. We also present computational optimisations of transcriptome analysis of non-sequenced organism and TRAC analysis in general. Trichoderma reesei is one of the most commonly used Pezizomycotina in the protein production industry. In order to understand its secretion system better and find clues for improvement of its industrial performance, we have analysed its transcriptomic response to protein secretion stress conditions. In comparison to S. cerevisiae, the response of T. reesei appears different, but still impacts on the same cellular functions. We also discovered in T. reesei interesting similarities to mammalian protein secretion stress response. Together these findings highlight targets for more detailed studies.

Functional characterization of MutL homologue mismatch repair proteins and their variants

Mismatch repair (MMR) mechanisms repair DNA damage occurring during replication and recombination. To date, five human MMR genes, MSH2, MHS6, MSH3, MLH1 and PMS2 are known to be involved in the MMR function. Human MMR proteins form 3 different heterodimers: MutSα (MSH2 and MSH6) and MutSβ (MSH2 and MSH3), which are needed for mismatch recognition and binding, and MutLα (MLH1 and PMS2), which is needed for mediating interactions between MutS homologues and other MMR proteins. The other two MutL homologues, MLH3 and PMS1, have been shown to heterodimerize with MLH1. However, the heterodimers MutLγ (MLH1and MLH3) and MutLβ (MLH1 and PMS1) are able to correct mismatches only with low or no efficiency, respectively. A deficient MMR mechanism is associated with the hereditary colorectal cancer syndrome called hereditary nonpolyposis colorectal cancer (HNPCC) or Lynch syndrome. HNPCC is the most common hereditary colorectal cancer syndrome and accounts for 2-5% of all colorectal cancer cases. HNPCC-associated mutations have been found in 5 MMR genes: MLH1, MSH2, MSH6, PMS2 and MLH3. Most of the mutations have been found in MLH1 and MSH2 (~90%) and are associated with typical HNPCC, while mutations in MSH6, PMS2 and MLH3 are mainly linked to putative HNPCC families lacking the characteristics of the syndrome. More data of MLH3 mutations are needed to assess the significance of its mutations in HNPCC. In this study, were functionally characterized 51 nontruncating mutations in the MLH1, MLH3 and MSH2 genes to address their pathogenic significance and mechanism of pathogenicity. Of the 36 MLH1 mutations, 22 were deficient in more than one assay, 2 variants were impaired only in one assay, and 12 variants behaved like the wild type protein, whereas all seven MLH3 mutants functioned like the wild type protein in the assays. To further clarify the role and relevance of MLH3 in MMR, we analyzed the subcellular localization of the native MutL homologue proteins. Our immunofluorescence analyses indicated that when all the three MutL homologues are natively expressed in human cells, endogenous MLH1 and PMS2 localize in the nucleus, whereas MLH3 stays in the cytoplasm. The coexpression of MLH3 with MLH1 results in its partial nuclear localization. Only one MSH2 mutation was pathogenic in the in vitro MMR assay. Our study on MLH1 mutations could clearly distinguish nontruncating alterations with severe functional defects from those not or only slightly impaired in protein function. However, our study on MLH3 mutations suggest that MLH3 mutations per se are not sufficient to trigger MMR deficiency and the continuous nuclear localization of MLH1 and PMS2 suggest that MutLα has a major activity in MMR in vivo. Together with our functional assays, this confirms that MutLγ is a less efficient MMR complex than MutLα.

Functional and work disability and treatment received by patients with major depressive disorder

This study is one part of a collaborative depression research project, the Vantaa Depression Study (VDS), involving the Department of Mental and Alcohol Research of the National Public Health Institute, Helsinki, and the Department of Psychiatry of the Peijas Medical Care District (PMCD), Vantaa, Finland. The VDS includes two parts, a record-based study consisting of 803 patients, and a prospective, naturalistic cohort study of 269 patients. Both studies include secondary-level care psychiatric out- and inpatients with a new episode of major depressive disorder (MDD). Data for the record-based part of the study came from a computerised patient database incorporating all outpatient visits as well as treatment periods at the inpatient unit. We included all patients aged 20 to 59 years old who had been assigned a clinical diagnosis of depressive episode or recurrent depressive disorder according to the International Classification of Diseases, 10th edition (ICD-10) criteria and who had at least one outpatient visit or day as an inpatient in the PMCD during the study period January 1, 1996, to December 31, 1996. All those with an earlier diagnosis of schizophrenia, other non-affective psychosis, or bipolar disorder were excluded. Patients treated in the somatic departments of Peijas Hospital and those who had consulted but not received treatment from the psychiatric consultation services were excluded. The study sample comprised 290 male and 513 female patients. All their psychiatric records were reviewed and each patient completed a structured form with 57 items. The treatment provided was reviewed up to the end of the depression episode or to the end of 1997. Most (84%) of the patients received antidepressants, including a minority (11%) on treatment with clearly subtherapeutic low doses. During the treatment period the depressed patients investigated averaged only a few visits to psychiatrists (median two visits), but more to other health professionals (median seven). One-fifth of both genders were inpatients, with a mean of nearly two inpatient treatment periods during the overall treatment period investigated. The median length of a hospital stay was 2 weeks. Use of antidepressants was quite conservative: The first antidepressant had been switched to another compound in only about one-fifth (22%) of patients, and only two patients had received up to five antidepressant trials. Only 7% of those prescribed any antidepressant received two antidepressants simultaneously. None of the patients was prescribed any other augmentation medication. Refusing antidepressant treatment was the most common explanation for receiving no antidepressants. During the treatment period, 19% of those not already receiving a disability pension were granted one due to psychiatric illness. These patients were nearly nine years older than those not pensioned. They were also more severely ill, made significantly more visits to professionals and received significantly more concomitant medications (hypnotics, anxiolytics, and neuroleptics) than did those receiving no pension. In the prospective part of the VDS, 806 adult patients were screened (aged 20-59 years) in the PMCD for a possible new episode of DSM-IV MDD. Of these, 542 patients were interviewed face-to-face with the WHO Schedules for Clinical Assessment in Neuropsychiatry (SCAN), Version 2.0. Exclusion criteria were the same as in the record-based part of the VDS. Of these, 542 269 patients fulfiled the criteria of DSM-IV MDE. This study investigated factors associated with patients' functional disability, social adjustment, and work disability (being on sick-leave or being granted a disability pension). In the beginning of the treatment the most important single factor associated with overall social and functional disability was found to be severity of depression, but older age and personality disorders also significantly contributed. Total duration and severity of depression, phobic disorders, alcoholism, and personality disorders all independently contributed to poor social adjustment. Of those who were employed, almost half (43%) were on sick-leave. Besides severity and number of episodes of depression, female gender and age over 50 years strongly and independently predicted being on sick-leave. Factors influencing social and occupational disability and social adjustment among patients with MDD were studied prospectively during an 18-month follow-up period. Patients' functional disability and social adjustment were alleviated during the follow-up concurrently with recovery from depression. The current level of functioning and social adjustment of a patient with depression was predicted by severity of depression, recurrence before baseline and during follow-up, lack of full remission, and time spent depressed. Comorbid psychiatric disorders, personality traits (neuroticism), and perceived social support also had a significant influence. During the 18-month follow-up period, of the 269, 13 (5%) patients switched to bipolar disorder, and 58 (20%) dropped out. Of the 198, 186 (94%) patients were at baseline not pensioned, and they were investigated. Of them, 21 were granted a disability pension during the follow-up. Those who received a pension were significantly older, more seldom had vocational education, and were more often on sick-leave than those not pensioned, but did not differ with regard to any other sociodemographic or clinical factors. Patients with MDD received mostly adequate antidepressant treatment, but problems existed in treatment intensity and monitoring. It is challenging to find those at greatest risk for disability and to provide them adequate and efficacious treatment. This includes great challenges to the whole society to provide sufficient resources.

Functional imaging of peripheral vision and dorsal stream function in the human cerebral cortex

Visual information processing in brain proceeds in both serial and parallel fashion throughout various functionally distinct hierarchically organised cortical areas. Feedforward signals from retina and hierarchically lower cortical levels are the major activators of visual neurons, but top-down and feedback signals from higher level cortical areas have a modulating effect on neural processing. My work concentrates on visual encoding in hierarchically low level cortical visual areas in human brain and examines neural processing especially in cortical representation of visual field periphery. I use magnetoencephalography and functional magnetic resonance imaging to measure neuromagnetic and hemodynamic responses during visual stimulation and oculomotor and cognitive tasks from healthy volunteers. My thesis comprises six publications. Visual cortex forms a great challenge for modeling of neuromagnetic sources. My work shows that a priori information of source locations are needed for modeling of neuromagnetic sources in visual cortex. In addition, my work examines other potential confounding factors in vision studies such as light scatter inside the eye which may result in erroneous responses in cortex outside the representation of stimulated region, and eye movements and attention. I mapped cortical representations of peripheral visual field and identified a putative human homologue of functional area V6 of the macaque in the posterior bank of parieto-occipital sulcus. My work shows that human V6 activates during eye-movements and that it responds to visual motion at short latencies. These findings suggest that human V6, like its monkey homologue, is related to fast processing of visual stimuli and visually guided movements. I demonstrate that peripheral vision is functionally related to eye-movements and connected to rapid stream of functional areas that process visual motion. In addition, my work shows two different forms of top-down modulation of neural processing in the hierachically lowest cortical levels; one that is related to dorsal stream activation and may reflect motor processing or resetting signals that prepare visual cortex for change in the environment and another local signal enhancement at the attended region that reflects local feed-back signal and may perceptionally increase the stimulus saliency.

Functional Outcome after Free Flap Reconstructions in Oral and Pharyngeal Cancer

Oral cancer ranks among the 10 most common cancers worldwide. Since it is commonly diagnosed at locally advanced stage, curing the cancer demands extensive tissue resection. The emergent defect is reconstructed generally with a free flap transfer. Repair of the upper aerodigestive track with maintenance of its multiform activities is challenging. The aim of the study was to extract comprehensive treatment outcomes for patients having undergone microvascular free flap transfer because of large oral cavity or pharyngeal cancer. Ninety-four patients were analyzed for postoperative survival and complications. Forty-four patients were followed-up and analyzed for functional outcome, which was determined in terms of quality of life, speech, swallowing, and intraoral sensation. Quality of life was assessed using the University of Washington Head and Neck Questionnaire. Speech was analyzed for aerodynamic parameters and for nasal acoustic energy, as well as perceptually for articulatory proficiency, voice quality, and intelligibility. Videofluorography was performed to determine the swallowing ability. Intraoral sensation was measured by moving 2-point discrimination. The 3-year overall survival was over 40%. The 1-year disease-free survival was 43%. Postoperative complications arose in over half of the patients. Flap success rate was high. Perioperative mortality varied between 2% and 11%. Unemployment and heavy drinking were the strongest predictors of survival. Sociodemographic factors were found to associate with quality of life. The global quality of life score deteriorated and did not return to the preoperative level. Significant reduction was detectable in the domains measuring chewing and speech, and in appearance and shoulder function. The basic elements necessary for normal speech were maintained. Speech intelligibility reduced and was related to the misarticulations of the /r/ and /s/ phonemes. Deviant /r/ and /s/ persisted in most patients. Hoarseness and hypernasality occurred infrequently. One year postoperatively, 98% of the patients had achieved oral nutrition and half of them were on a regular masticated diet. Overt and silent aspiration was encountered throughout the follow-up. At 12-month swallow test, 44% of the patients aspirated, 70% of whom silently. Of these patients, 15% presented with pulmonary changes referring to aspiration. Intraoral sensation weakened but was unrelated to oral functions. The results provide new data for oral reconstructions and highlight the importance of the functional outcome of the treatment for an oral cancer patient. The mouth and the pharynx encompass a unit of utmost functional complexity. Surgery should continue to make progress in this area, and methods that lead to good function should be developed. Operational outcome should always be evaluated in terms of function.

Seeing and hearing speech, sounds, and signs: functional magnetic resonance studies on fluent and dyslexic readers

Speech has both auditory and visual components (heard speech sounds and seen articulatory gestures). During all perception, selective attention facilitates efficient information processing and enables concentration on high-priority stimuli. Auditory and visual sensory systems interact at multiple processing levels during speech perception and, further, the classical motor speech regions seem also to participate in speech perception. Auditory, visual, and motor-articulatory processes may thus work in parallel during speech perception, their use possibly depending on the information available and the individual characteristics of the observer. Because of their subtle speech perception difficulties possibly stemming from disturbances at elemental levels of sensory processing, dyslexic readers may rely more on motor-articulatory speech perception strategies than do fluent readers. This thesis aimed to investigate the neural mechanisms of speech perception and selective attention in fluent and dyslexic readers. We conducted four functional magnetic resonance imaging experiments, during which subjects perceived articulatory gestures, speech sounds, and other auditory and visual stimuli. Gradient echo-planar images depicting blood oxygenation level-dependent contrast were acquired during stimulus presentation to indirectly measure brain hemodynamic activation. Lip-reading activated the primary auditory cortex, and selective attention to visual speech gestures enhanced activity within the left secondary auditory cortex. Attention to non-speech sounds enhanced auditory cortex activity bilaterally; this effect showed modulation by sound presentation rate. A comparison between fluent and dyslexic readers' brain hemodynamic activity during audiovisual speech perception revealed stronger activation of predominantly motor speech areas in dyslexic readers during a contrast test that allowed exploration of the processing of phonetic features extracted from auditory and visual speech. The results show that visual speech perception modulates hemodynamic activity within auditory cortex areas once considered unimodal, and suggest that the left secondary auditory cortex specifically participates in extracting the linguistic content of seen articulatory gestures. They are strong evidence for the importance of attention as a modulator of auditory cortex function during both sound processing and visual speech perception, and point out the nature of attention as an interactive process (influenced by stimulus-driven effects). Further, they suggest heightened reliance on motor-articulatory and visual speech perception strategies among dyslexic readers, possibly compensating for their auditory speech perception difficulties.

Studies on Binary Time Series Models with Applications to Empirical Macroeconomics and Finance

This thesis studies binary time series models and their applications in empirical macroeconomics and finance. In addition to previously suggested models, new dynamic extensions are proposed to the static probit model commonly used in the previous literature. In particular, we are interested in probit models with an autoregressive model structure. In Chapter 2, the main objective is to compare the predictive performance of the static and dynamic probit models in forecasting the U.S. and German business cycle recession periods. Financial variables, such as interest rates and stock market returns, are used as predictive variables. The empirical results suggest that the recession periods are predictable and dynamic probit models, especially models with the autoregressive structure, outperform the static model. Chapter 3 proposes a Lagrange Multiplier (LM) test for the usefulness of the autoregressive structure of the probit model. The finite sample properties of the LM test are considered with simulation experiments. Results indicate that the two alternative LM test statistics have reasonable size and power in large samples. In small samples, a parametric bootstrap method is suggested to obtain approximately correct size. In Chapter 4, the predictive power of dynamic probit models in predicting the direction of stock market returns are examined. The novel idea is to use recession forecast (see Chapter 2) as a predictor of the stock return sign. The evidence suggests that the signs of the U.S. excess stock returns over the risk-free return are predictable both in and out of sample. The new "error correction" probit model yields the best forecasts and it also outperforms other predictive models, such as ARMAX models, in terms of statistical and economic goodness-of-fit measures. Chapter 5 generalizes the analysis of univariate models considered in Chapters 2 4 to the case of a bivariate model. A new bivariate autoregressive probit model is applied to predict the current state of the U.S. business cycle and growth rate cycle periods. Evidence of predictability of both cycle indicators is obtained and the bivariate model is found to outperform the univariate models in terms of predictive power.