Panmictic structure of the Cryptosporidium parvum population in Irish calves: influence of prevalence and host movement.

In total, 245 Cryptosporidium parvum specimens obtained from calves in 205 Irish herds between 2003 and 2005 were subtyped by sequencing the glycoprotein gene gp60 and performing multilocus analysis of seven markers. The transmission dynamics of C. parvum and the influence of temporal, spatial, parasitic, and host-related factors on the parasite (sub)populations were studied. The relationship of those factors to the risk of cryptosporidiosis was also investigated using results from 1,368 fecal specimens submitted to the veterinary laboratories for routine diagnosis during 2005. The prevalence was greatest in the northwest and midwest of the country and on farms that bought in calves. The panmixia (random mating) detected in the C. parvum population may relate to its high prevalence, the cattle density, and the frequent movement of cattle. However, local variations in these factors were reflected in the C. parvum subpopulations. This study demonstrated the importance of biosecurity in the control of bovine cryptosporidiosis (e.g., isolation and testing of calves before introduction into a herd). Furthermore, the zoonotic risk of C. parvum was confirmed, as most specimens possessed GP60 and MS1 subtypes previously described in humans.

Age-stratified Bayesian analysis to estimate sensitivity and specificity of four diagnostic tests for detection of Cryptosporidium oocysts in neonatal calves.

There is no gold standard diagnostic test for the detection of bovine cryptosporidiosis. Infection is usually highest in 2-week-old calves, and these calves also excrete high numbers of oocysts. These factors may give rise to variations in the sensitivity and specificity of the various diagnostic tests used to detect infection in calves of various ages. An age-stratified Bayesian analysis was carried out to determine the optimum diagnostic test to identify asymptomatic and clinical Cryptosporidium sp. infection in neonatal calves. Fecal samples collected from 82 calves at 1 week, 2 weeks, 3 weeks, and 4 weeks of age were subjected to the following tests: microscopic examination of smears stained with either phenol-auramine O or fluorescein isothiocyanate (FITC)-conjugated anti-Cryptosporidium monoclonal antibody, nested-PCR, and quantitative real-time PCR. The results confirmed a high prevalence of Cryptosporidium sp. infection, as well as a high level of oocyst excretion, in 2-week-old calves. The sensitivities of all the tests varied with the age of the calves. Quantitative real-time PCR proved to be the most sensitive and specific test for detecting infection irrespective of the age of the calf. The microscopic techniques were the least sensitive and exhibited only moderate efficiency with 2-week-old calves excreting large numbers of oocysts, the majority of which were diarrheic. It was concluded that, when interpreting the results of routine tests for bovine cryptosporidiosis, cognizance should be taken of the sensitivity of the tests in relation to the age of the calves and stage of infection.

Harmful phytoplankton diversity and dynamics in an upwelling region (Sagres, SW Portugal) revealed by ribosomal RNA microarray combined with microscopy.

The study region in Sagres, SW Portugal, is subject to natural eutrophication of coastal waters by wind-driven upwelling, which stimulates high primary productivity facilitating the recent economic expansion of bivalve aquaculture in the region. However, this economic activity is threatened by harmful algal blooms (HAB) caused by the diatoms Pseudo-nitzschia spp., Dinophysis spp. and other HAB dinoflagellates, all of which can produce toxins, that can induce Amnesic Shellfish Poisoning (ASP), Diarrhetic Shellfish Poisoning (DSP) and Paralytic Shellfish Poisoning (PSP). This study couples traditional microscopy with 18S/28S rRNA microarray to improve the detection of HAB species and investigates the relation between HAB and the specific oceanographic conditions in the region. Good agreement was obtained between microscopy and microarray data for diatoms of genus Pseudo-nitzschia and dinoflagellates Dinophysis spp., Gymnodinium catenatum and raphidophyte Heterosigma akashiwo, with less effective results for Prorocentrum. Microarray provided detection of flagellates Prymnesium spp., Pseudochattonella spp., Chloromorum toxicum and the important HAB dinoflagellates of the genera Alexandrium and Azadinium, with the latter being one of the first records from the study region. Seasonality and upwelling induced by northerly winds were found to be the driving forces of HAB development, with Pseudo-nitzschia spp. causing the risk of ASP during spring and summer upwelling season, and dinoflagellates causing the risk of DSP and PSP during upwelling relaxation, mainly in summer and autumn. The findings were in agreement with the results from toxicity monitoring of shellfish by the Portuguese Institute for Sea and Atmosphere and confirm the suitability of the RNA microarray method for HABs detection and aquaculture management applications.

Evaluation of the MIDTAL microarray chip for monitoring toxic microalgae in the Orkney Islands, U.K.

Harmful or nuisance algal blooms can cause economic damage to fisheries and tourism. Additionally, toxins produced by harmful algae and ingested via contaminated shellfish can be potentially fatal to humans. The seas around the Orkney Islands, UK currently hold a number of toxic algal species which cause shellfishery closures in most years. Extensive and costly monitoring programs are carried out to detect harmful microalgae before they reach action levels. However, the ability to distinguish between toxic and non-toxic strains of some algae is not possible using these methods. The microarrays for the detection of toxic algae (MIDTAL) microarray contains rRNA probes for toxic algal species/strains which have been adapted and optimized for microarray use. In order to investigate the use of the chip for monitoring in the Orkney Islands, samples were collected between 2009 and 2011 from Brings Deep, Scapa Flow, Orkney Islands, UK; RNA was extracted and hybridized with generation 2 and 3.1 of the chip. The data were then compared to cell counts performed under light microscopy and in the case of Alexandrium tamarense to qPCR data targeting the saxitoxin gene and the LSU-rRNA gene. A good agreement between cell numbers and microarray signal was found for A. tamarense, Pseudo-nitzschia sp., Dinophysis sp. (r<0.5, for all) in addition to this there the chip successfully detected a large bloom of Karenia mikimotoi (r<0.70) in August and September 2011. Overall, there was good improvement in probe signal between generation 2 and generation 3.1 of the chip with much less variability and more consistent results and better correlation between the probes. The chip performed well for A. tamarense group I signal to cell numbers in calibrations (r>0.9). However, in field samples, this correlation was slightly lower suggesting interactions between all species in the sample may affect signal. Overall, the chip showed it could identify the presence of target species in field samples although some work is needed to improve the quantitative nature of the chip before it would be suitable for monitoring in the Orkney Islands.

Peri-parturient rise of Cryptosporidium oocysts in cows: new insights provided by duplex quantitative real-time PCR.

In order to clarify if a peri-parturient rise of Cryptosporidium parvum oocysts occurs in cows, faecal samples from 42 cows on two farms were collected. These samples were taken during the pre-parturient, the peri-parturient and the post-parturient periods. Two methods were used to detect the oocysts, a nested-PCR coupled with sequencing and a duplex real-time PCR (qPCR) that quantified Cryptosporidium spp. DNA concentration. The qPCR results were adjusted using a hierarchical Bayesian model taking into account within and between run variation. Generalised Estimating Equation models (GEE) were used to determine if peri-parturient cows were at greater risk of being infected than pre- or post-parturient cows. Fourteen dairy cows exhibited a peri-parturient and post-parturient rise in the excretion of Cryptosporidium spp. oocysts, other than the zoonotic C. parvum. The cows in the suckler beef farm were the only ones infected with the zoonotic species C. parvum at calving. Due to the low concentration of oocysts excreted mainly from species other than C. parvum, it would appear unlikely that cows act as a source of infection for their calves or contribute significantly to environmental contamination.

Development of molecular tools for the detection of freshwater diatoms.

This study was undertaken to develop a reliable and reproducible procedure for the detection and quantitative determination of diatoms in environmental samples. A comparative study of seven different DNA extraction kits was carried out to establish conditions for analysis of diatom containing samples. The best performers were identified using both standard and real-time PCR. We show that the yield of diatom DNA is generally quite low when using commercially available extraction kits; in addition, a new protocol was devised to obtain samples suitable for DNA amplification without the need to perform all the steps required for DNA extraction. This method was tested on environmental samples spiked, in a wide range of total cell mass, with the rarely occurring diatom Neidium affine together with a highly species-specific oligonucleotide designed on the small subunit (SSU) rRNA gene. Thus, we propose a fast and effective procedure that, combined with the use of species-specific oligonucleotide probes can detect minute amounts of a spiked diatom within a complex diatom community. This study provides experimental conditions for a fast and accurate detection of diatoms, and demonstrates the feasibility of the use of molecular tools in the evaluation of water quality.

The frequency and characteristics of highly thermophilic bacteria in cool soil environments.

Following enrichment at 70 degrees C and 80 degrees C, five highly thermophilic aerobic eubacteria have been isolated from cool soil environments. These organisms show a temperature range for growth of 40-80 degrees C and have optimal and very high growth rates around 70 degrees C with generation times less than 30 min. All isolates are narrow rods, which stain Gram-negative, but have a Gram-positive cell wall structure and only one of five isolates is a spore former. All cultures contain a small proportion of previously unreported extremely long flexuous rods, which can be seen to divide eventually. Biochemical testing of five strains reveals a significant ability to utilize alkanes and some aromatic hydrocarbons. Using polymerase chain reaction (PCR) and restriction fragment length polymorphism (RFLP) of 16S rDNA the five strains were differentiated into three categories, which paralleled the biochemical results. 16S rDNA sequences showed high similarity with thermophilic Bacillus species now reclassified as Geobacillus. These bacteria are present in high numbers in apparently all soils and the question is raised of how these organisms, which are apparently unable to grow at the temperatures experienced in these cool soils, are so prominent.