Streptococcus agalactiae (GBS) PNA FISH -tekniikan soveltuminen B-ryhmän streptokokin tunnistukseen

B-ryhmän beetahemolyyttinen streptokokki (GBS = Group B Streptococcus, Streptococcus agalactiae)aiheuttaa vakavia infektioita yleensä astasyntyneillä. Tartunta saadaan yleensä synnytyskanavasta ja riskitekijöinä ovat muun muassa keskosuus, ennenaikainen lapsivedenmeno ja äidin runsas Bstreptokokkikolonisaatio emättimessä. Bakteerin tunnistukseen käytetään tällä hetkellä viljelytekniikkaa, jonka tulos saadaan vasta 24-48 tunnin kuluttua. Opinnäytetyöni tarkoituksena on tutkia uutta ja nopeampaa tunnistusmenetelmää: GBS PNA FISH - tekniikkaa (Peptide Nucleic Acid Fluorescence in Situ Hybridization). Tarkoituksena on tutkia tekniikan spesifiteettiä ja sensitiviteettiä. Tekniikan spesifiteettiä tutkitaan B-ryhmän beetahemolyyttisellä streptokokilla sekä kuudella muulla emättimen normaaliflooraan kuuluvalla bakteerilajilla. Yhteensä bakteerikantoja on tutkimuksessa mukana 48 kappaletta. Tämän lisäksi tutkitaan myös tekniikan sensitiviteettiä, jota tutkitaan bakteereista tehdyn laimennossarjan avulla. Sensitiviteetti tutkitaan bakteeriseoksesta, jonne on B-ryhmän beetahemolyyttisen streptokokin lisäksi lisätty muita emättimen normaaliflooran bakteereita. Lisäksi sensitiviteetti tutkitaan pelkällä B-ryhmän beetahemolyyttisellä streptokokilla käyttäen sekä normaalia että bakteerin rikastusmenetelmää. Testeistä saadut tulokset tulkitaan fluoresenssimikroskoopin avulla. GBS PNA FISH -tekniikan spesifiteetti todettiin erittäin hyväksi. Tekniikka tunnisti kaikki B-ryhmän beetahemolyyttiset streptokokit positiivisiksi ja kaikki muut lajit antoivat negatiivisen tuloksen. B-streptokokin positiivisuus oli erotettavissa mikroskopoitaessa vahvana fluoresointina, kun taas muut lajit eivät fluoresoineet lainkaan. GBS PNA FISH -tekniikan sensitiivisyyden tulokset eivät kuitenkaan täyttäneet odotuksia. Ainoastaan bakteerin rikastusmenetelmällä saadut tulokset olivat loistavia, mutta bakteeriseoksella ja pelkällä B-ryhmän beetahemolyyttisellä streptokokilla saadut tulokset olivat lähes olemattomia. Rikastusmenetelmän kaikki laimennokset fluoresoivat positiivisina, kun taas muissa tapauksissa vain vahvin liuos antoi jonkinlaista positiivista fluoresointia. GBS PNA FISH -tekniikan spesifiteetti todettiin hyväksi. Tekniikan sensitiviteetti ei kuitenkaan vastaa käyttötarkoitusta ja todellisessa tilanteessa tekniikka ei pystyisi tunnistamaan sille spesifistä bakteeria muiden bakteerien joukosta.

Evaluation of the spot urine sampling technique to assess urinary pseudouridine excretion in lactating dairy cows

Selostus: Mahdollisuus lyhytaikaisen virtsankeruun käyttöön lypsylehmien virtsan pseudouridiinin erityksen määrittämisessä

A simple device for sampling of volumetric forest soil cores

Summary

Variation in soil organic carbon and thickness of soil horizons within a boreal forest stand - effect of trees and implications for sampling

Summary

Cut-off importance sampling of bole volume

Summary

Inventory of sparse forest populations using adaptive cluster sampling

Abstract

Comparison of randomized branch sampling with and without replacement at the first stage

Abstract

Conservation Genetics of Exploited Finnish Salmonid Fishes

Genetic diversity is one of the levels of biodiversity that the World Conservation Union (IUCN) has recognized as being important to preserve. This is because genetic diversity is fundamental to the future evolution and to the adaptive flexibility of a species to respond to the inherently dynamic nature of the natural world. Therefore, the key to maintaining biodiversity and healthy ecosystems is to identify, monitor and maintain locally-adapted populations, along with their unique gene pools, upon which future adaptation depends. Thus, conservation genetics deals with the genetic factors that affect extinction risk and the genetic management regimes required to minimize the risk. The conservation of exploited species, such as salmonid fishes, is particularly challenging due to the conflicts between different interest groups. In this thesis, I conduct a series of conservation genetic studies on primarily Finnish populations of two salmonid fish species (European grayling, Thymallus thymallus, and lake-run brown trout, Salmo trutta) which are popular recreational game fishes in Finland. The general aim of these studies was to apply and develop population genetic approaches to assist conservation and sustainable harvest of these populations. The approaches applied included: i) the characterization of population genetic structure at national and local scales; ii) the identification of management units and the prioritization of populations for conservation based on evolutionary forces shaping indigenous gene pools; iii) the detection of population declines and the testing of the assumptions underlying these tests; and iv) the evaluation of the contribution of natural populations to a mixed stock fishery. Based on microsatellite analyses, clear genetic structuring of exploited Finnish grayling and brown trout populations was detected at both national and local scales. Finnish grayling were clustered into three genetically distinct groups, corresponding to northern, Baltic and south-eastern geographic areas of Finland. The genetic differentiation among and within population groups of grayling ranged from moderate to high levels. Such strong genetic structuring combined with low genetic diversity strongly indicates that genetic drift plays a major role in the evolution of grayling populations. Further analyses of European grayling covering the majority of the species’ distribution range indicated a strong global footprint of population decline. Using a coalescent approach the beginning of population reduction was dated back to 1 000-10 000 years ago (ca. 200-2 000 generations). Forward simulations demonstrated that the bottleneck footprints measured using the M ratio can persist within small populations much longer than previously anticipated in the face of low levels of gene flow. In contrast to the M ratio, two alternative methods for genetic bottleneck detection identified recent bottlenecks in six grayling populations that warrant future monitoring. Consistent with the predominant role of random genetic drift, the effective population size (N_e) estimates of all grayling populations were very low with the majority of N_e estimates below 50. Taken together, highly structured local populations, limited gene flow and the small N_e of grayling populations indicates that grayling populations are vulnerable to overexploitation and, hence, monitoring and careful management using the precautionary principles is required not only in Finland but throughout Europe. Population genetic analyses of lake-run brown trout populations in the Inari basin (northernmost Finland) revealed hierarchical population structure where individual populations were clustered into three population groups largely corresponding to different geographic regions of the basin. Similar to my earlier work with European grayling, the genetic differentiation among and within population groups of lake-run brown trout was relatively high. Such strong differentiation indicated that the power to determine the relative contribution of populations in mixed fisheries should be relatively high. Consistent with these expectations, high accuracy and precision in mixed stock analysis (MSA) simulations were observed. Application of MSA to indigenous fish caught in the Inari basin identified altogether twelve populations that contributed significantly to mixed stock fisheries with the Ivalojoki river system being the major contributor (70%) to the total catch. When the contribution of wild trout populations to the fisheries was evaluated regionally, geographically nearby populations were the main contributors to the local catches. MSA also revealed a clear separation between the lower and upper reaches of Ivalojoki river system – in contrast to lower reaches of the Ivalojoki river that contributed considerably to the catch, populations from the upper reaches of the Ivalojoki river system (>140 km from the river mouth) did not contribute significantly to the fishery. This could be related to the available habitat size but also associated with a resident type life history and increased cost of migration. The studies in my thesis highlight the importance of dense sampling and wide population coverage at the scale being studied and also demonstrate the importance of critical evaluation of the underlying assumptions of the population genetic models and methods used. These results have important implications for conservation and sustainable fisheries management of Finnish populations of European grayling and brown trout in the Inari basin.

Sampling in chemical analysis

The uncertainty of any analytical determination depends on analysis and sampling. Uncertainty arising from sampling is usually not controlled and methods for its evaluation are still little known. Pierre Gy’s sampling theory is currently the most complete theory about samplingwhich also takes the design of the sampling equipment into account. Guides dealing with the practical issues of sampling also exist, published by international organizations such as EURACHEM, IUPAC (International Union of Pure and Applied Chemistry) and ISO (International Organization for Standardization). In this work Gy’s sampling theory was applied to several cases, including the analysis of chromite concentration estimated on SEM (Scanning Electron Microscope) images and estimation of the total uncertainty of a drug dissolution procedure. The results clearly show that Gy’s sampling theory can be utilized in both of the above-mentioned cases and that the uncertainties achieved are reliable. Variographic experiments introduced in Gy’s sampling theory are beneficially applied in analyzing the uncertainty of auto-correlated data sets such as industrial process data and environmental discharges. The periodic behaviour of these kinds of processes can be observed by variographic analysis as well as with fast Fourier transformation and auto-correlation functions. With variographic analysis, the uncertainties are estimated as a function of the sampling interval. This is advantageous when environmental data or process data are analyzed as it can be easily estimated how the sampling interval is affecting the overall uncertainty. If the sampling frequency is too high, unnecessary resources will be used. On the other hand, if a frequency is too low, the uncertainty of the determination may be unacceptably high. Variographic methods can also be utilized to estimate the uncertainty of spectral data produced by modern instruments. Since spectral data are multivariate, methods such as Principal Component Analysis (PCA) are needed when the data are analyzed. Optimization of a sampling plan increases the reliability of the analytical process which might at the end have beneficial effects on the economics of chemical analysis,

Stratification of regional sampling by model-predicted changes of carbon stocks in Forested mineral soils

Selective papers of the workshop on "Development of models and forest soil surveys for monitoring of soil carbon", Koli, Finland, April 5-9 2006.