Caging experiment in the deep sea: Efficiency and artefacts from a case study at the Arctic long-term observatory HAUSGARTEN

Present theories of deep-sea community organization recognize the importance of small-scale biological disturbances, originated partly from the activities of epibenthic megafaunal organisms, in maintaining high benthic biodiversity in the deep sea. However, due to technical difficulties, in situ experimental studies to test hypotheses in the deep sea are lacking. The objective of the present study was to evaluate the potential of cages as tools for studying the importance of epibenthic megafauna for deep-sea benthic communities. Using the deep-diving Remotely Operated Vehicle (ROV) “VICTOR 6000”, six experimental cages were deployed at the sea floor at 2500 m water depth and sampled after 2 years (2y) and 4 years (4y) for a variety of sediment parameters in order to test for caging artefacts. Photo and video footage from both experiments showed that the cages were efficient at excluding the targeted fauna. The cage also proved to be appropriate to deep-sea studies considering the fact that there was no fouling on the cages and no evidence of any organism establishing residence on or adjacent to it. Environmental changes inside the cages were dependent on the experimental period analysed. In the 4y experiment, chlorophyll a concentrations were higher in the uppermost centimeter of sediment inside cages whereas in the 2y experiment, it did not differ between inside and outside. Although the cages caused some changes to the sedimentary regime, they are relatively minor compared to similar studies in shallow water. The only parameter that was significantly higher under cages at both experiments was the concentration of phaeopigments. Since the epibenthic megafauna at our study site can potentially affect phytodetritus distribution and availability at the seafloor (e.g. via consumption, disaggregation and burial), we suggest that their exclusion was, at least in part, responsible for the increases in pigment concentrations. Cages might be suitable tools to study the long-term effects of disturbances caused by megafaunal organisms on the diversity and community structure of smaller-sized organisms in the deep sea, although further work employing partial cage controls, greater replication, and evaluating faunal components will be essential to unequivocally establish their utility.     

Semi-automated recognition of protozoa by image analysis

A programme was created to semi-automatically analyse protozoal digitised images. Principal Component Analysis technique was used for species identification. After data collection and mathematical treatment, a three-dimensional representation was generated and several protozoa (Opercularia, Colpidium, Tetrahymena, Prorodon, Glaucoma and Trachelophyllum) species could be positively identified.     

Relative risk assessment for ballast-mediated invasions at Canadian Arctic ports

Vector-based risk assessment is a powerful and efficient management approach for nonindigenous species (NIS). By managing a vector, an entire assemblage of associated NIS is simultaneously considered. The majority of current risk assessment frameworks have been conducted for a single, or selected few, target species and thus are not useful for managing vectors transporting a large number of potentially unknown species. Here we develop a predictive framework to assess relative invasion risk for a vector (ballast water) transporting an unknown species assemblage, using the Canadian Arctic as a case study. Ballast water discharge is a known high-risk vector globally, but its magnitude in the Arctic has not been well characterized. Our framework determined relative invasion risks between different transit pathways by quantifying the probability of NIS successfully transiting all stages of the invasion process and the magnitude of consequences of introduction to those ports. Churchill, Manitoba was ranked at ‘higher’ invasion risk via ballast water discharged by international merchant vessels than any other recipient port studied. The overall pattern of ballast water discharge suggests that water originating from coastal domestic sources carried by international merchant vessels may be important for dispersal of NIS. In addition, ballast-mediated NIS are more likely to arrive to the Hudson Bay region during summer months. These results can be useful for developing prevention and early detection programs for the region. Our risk assessment framework is not limited to ballast water and could be applied to other vectors for effective management of NIS.     

Benthic Oxygen Uptake in the Arctic Ocean Margins - A Case Study at the Deep-Sea Observatory HAUSGARTEN (Fram Strait)

The past decades have seen remarkable changes in the Arctic, a hotspot for climate change. Nevertheless, impacts of such changes on the biogeochemical cycles and Arctic marine ecosystems are still largely unknown. During cruises to the deep-sea observatory HAUSGARTEN in July 2007 and 2008, we investigated the biogeochemical recycling of organic matter in Arctic margin sediments by performing shipboard measurements of oxygen profiles, bacterial activities and biogenic sediment compounds (pigment, protein, organic carbon, and phospholipid contents). Additional in situ oxygen profiles were performed at two sites. This study aims at characterizing benthic mineralization activity along local bathymetric and latitudinal transects. The spatial coverage of this study is unique since it focuses on the transition from shelf to Deep Ocean, and from close to the ice edge to more open waters. Biogeochemical recycling across the continental margin showed a classical bathymetric pattern with overall low fluxes except for the deepest station located in the Molloy Hole (5500 m), a seafloor depression acting as an organic matter depot center. A gradient in benthic mineralization rates arises along the latitudinal transect with clearly higher values at the southern stations (average diffusive oxygen uptake of 0.49 ± 0.18 mmol O₂ m^-2 d^-1) compared to the northern sites (0.22 ± 0.09 mmol O₂ m^-2 d^-1). The benthic mineralization activity at the HAUSGARTEN observatory thus increases southward and appears to reflect the amount of organic matter reaching the seafloor rather than its lability. Although organic matter content and potential bacterial activity clearly follow this gradient, sediment pigments and phospholipids exhibit no increase with latitude whereas satellite images of surface ocean chlorophyll a indicate local seasonal patterns of primary production. Our results suggest that predicted increases in primary production in the Arctic Ocean could induce a larger export of more refractory organic matter due to the longer production season and the extension of the ice-free zone.     

Semi-automated relative quantification of cell culture contamination with mycoplasma by Photoshop-based image analysis on immunofluorescence preparations

Mycoplasma contamination in cell culture is a serious setback for the cell-culturist. The experiments undertaken using contaminated cell cultures are known to yield unreliable or false results due to various morphological, biochemical and genetic effects. Earlier surveys revealed incidences of mycoplasma contamination in cell cultures to range from 15 to 80%. Out of a vast array of methods for detecting mycoplasma in cell culture, the cytological methods directly demonstrate the contaminating organism present in association with the cultured cells. In this investigation, we report the adoption of a cytological immunofluorescence assay (IFA), in an attempt to obtain a semi-automated relative quantification of contamination by employing the user-friendly Photoshop-based image analysis. The study performed on 77 cell cultures randomly collected from various laboratories revealed mycoplasma contamination in 18 cell cultures simultaneously by IFA and Hoechst DNA fluorochrome staining methods. It was observed that the Photoshop-based image analysis on IFA stained slides was very valuable as a sensitive tool in providing quantitative assessment on the extent of contamination both per se and in comparison to cellularity of cell cultures. The technique could be useful in estimating the efficacy of anti-mycoplasma agents during decontaminating measures.     

Semi-automated counting of bacteria and somatic cells in milk using epifluorescence microscopy and television image analysis

An epifluorescent microscope fitted with a 'Chalnicon' closed circuit television camera linked to an Optomax System III image analyser was used to count bacteria and somatic cells on membrane filters prepared from milk by the direct epifluorescent filter technique (DEFT). For both bacteria and somatic cells, the semi-automated DEFT count of low count milk exceeded the visual DEFT count but this difference became proportionately less as the count increased. There was close agreement between the semi-automated and visual DEFT counts over the range 10⁵-5 times 10⁶/ml for bacteria and 3 times 10⁵-5 times 10⁶/ml for somatic cells. The semi-automated DEFT count of bacteria and somatic cells correlated well with the plate count and Coulter count respectively, with correlation coefficients of 0.83 and 0.81.     

Marinomonas profundimaris sp. nov., isolated from deep-sea sediment sample of the Arctic Ocean

A taxonomic study was carried out on strain D104^T, which was isolated from deep-sea subsurface sediment sample from the Arctic Ocean. The bacterium was found to be Gram-negative, oxidase negative and catalase weakly positive, rod shaped, motile by means of polar flagellum. The organism grows between 4 and 37 °C (optimum 25–28 °C) and 0.5–6 % NaCl (optimum 3 %). Phylogenetic analysis based on 16S rRNA gene sequences indicated that strain D104^T belongs to the genus Marinomonas, with highest sequence similarities of 97.7 % to Marinomonas ushuaiensis DSM 15871^T, followed by M. dokdonensis DSW10-10^T (96.9 %), M. arenicola KMM 3893^T (96.7 %), M. arctica 328^T (96.6 %) and other 18 species of the genus Marinomonas (94.4–96.5 %). The average nucleotide identity and estimated DNA–DNA hybridization values between strain D104^T and M. ushuaiensis DSM 15871^T were 84.24 % and 20.80 ± 2.33 % respectively. The principal fatty acids were C_16:0, sum in feature 3 (C_16:1 ω7c/C_16:1 ω6c), sum in feature 8 (C_18:1 ω7c/C_18:1 ω6c) and C_12:1 3OH. The G + C content of the chromosomal DNA was determined to be 44.8 mol%. The respiratory quinone was found to be Q8 (100 %). Polar lipids include phosphatidylglycerol and phosphatidylethanolamine as major phospholipids and aminolipid and phospholipid as minor components. The results of the genotypic and phenotypic analyses indicate that strain D104^T represents a novel species of the genus Marinomonas, for which the name Marinomonas profundimaris sp. nov. is proposed, with the type strain D104^T (=MCCC 1A07573^T = LMG 27696^T).     

Semi-automated, single-band peak-fitting analysis of hydroxyl radical nucleic acid footprint autoradiograms for the quantitative analysis of transitions

Hydroxyl radical footprinting can probe the solvent accessibility of the ribose moiety of the individual nucleotides of DNA and RNA. Semi-automated analytical tools are presented for the quantitative analyses of nucleic acid footprint transitions in which processes such as folding or ligand binding are followed as a function of time or ligand concentration. Efficient quantitation of the intensities of the electrophoretic bands comprising the footprinting reaction products is achieved by fitting a series of Lorentzian curves to line profiles obtained from gels utilizing sequentially relaxed constraints consistent with electrophoretic mobility. An automated process of data ‘standardization’ has been developed that corrects for differences in the loading amounts in the electrophoresis. This process enhances the accuracy of the derived transitions and makes generating them easier. Together with visualization of the processed footprinting in false-color two-dimensional maps, DNA and RNA footprinting data can be accurately, precisely and efficiently processed allowing transitions to be objectively and comprehensively analyzed. The utility of this new analysis approach is illustrated by its application to the ion-meditated folding of a large RNA molecule.     

Semi-automated extraction of microbial DNA from feces for qPCR and phylogenetic microarray analysis

The human gastrointestinal tract (GI-tract) harbors a complex microbial ecosystem, largely composed of so far uncultured species, which can be detected only by using techniques such as PCR and by different hybridization techniques including phylogenetic microarrays. Manual DNA extraction from feces is laborious and is one of the bottlenecks holding up the application of microarray and other DNA-based techniques in large cohort studies. In order to enhance the DNA extraction step we combined mechanical disruption of microbial cells by repeated bead-beating (RBB) with two automated DNA extraction methods, KingFisher with InviMag Stool DNA kit (KF) and NucliSENS easyMAG (NeM). The semi-automated DNA extraction methods, RBB combined with either KF or NeM, were compared to the manual extraction method currently considered the most suited method for fecal DNA extraction by assessing the yield of 16S rRNA gene copies by qPCR and total microbiota composition by the HITChip, a phylogenetic microarray. Parallel DNA extractions from infant fecal samples by using the three methods showed that the KF and manual methods gave comparable yields of 16S rRNA gene copies as assessed by qPCR, whereas NeM showed a significantly lower yield. All three methods showed highly similar microbiota profiles in HITChip. Both KF and NeM were found to be suitable methods for DNA extraction from fecal samples after the mechanical disruption of microbial cells by bead-beating. The semi-automated methods could be performed in half of the time required for the manual protocol, while being comparable to the manual method in terms of reagent costs.     

Morphometric requirements for image analysis and the IBAS interactive automatic image analysis system

The morphometric demands made on an image analysis system are discussed, as is the IBAS interactive automatic system, which meets those requirements. The modular design of the IBAS image analysis system, with its tailor-made processors for image processing, system control and pattern recognition, gives speed and flexibility. The IMAGE image analysis language guarantees user friendliness, and, last but not least, the enormous amount of software offers accurate, reproducible measurements and dedicated evaluation programs.     

Morphological characterization and viability assessment of Trichoderma reesei by image analysis

The production of cellulase from the filamentous fungus Trichoderma reesei is a critical step in the industrial process leading to cellulose ethanol. As a result of the lack of quantitative analysis tools, the intimate relationship that exists between the morphological and physiological states of the microorganism, the shear field in the bioreactor, and the process performance is not yet fully understood. A semiautomatic image analysis protocol was developed to characterize the mycelium morphology and to estimate its percentage viability during the fermentation process based on four morphological types (unbranched, branched, entangled, and clumped microorganisms). Pictures taken under bright field microscopy combined with images of fluorescein diacetate stained fungi were used to assess the morphological parameters and the percentage viability of microorganisms simultaneously. The method was tested during the course of fed-batch fermentation in a reciprocating plate bioreactor. The use of the image analysis protocol was found to be successful in quantifying the variations in the morphology and the viability of T. reesei throughout the fermentation.     

Molecular analysis of the nitrogen cycle in deep-sea microorganisms from the Nankai Trough: genes for nitrification and denitrification from deep-sea environmental DNA

Nitrification and denitrification are bacterial functions, which are important for the global nitrogen cycle. Thus, it is important to study the diversity and distribution of bacteria in the environment, which are involved in the nitrogen cycle on the earth. Ammonia monooxygenase encoded by the amoA gene and nitrite reductase encoded by nirK or nirS are essential enzymes for nitrificaton and denitrification, respectively. These genes can be used as markers for the identification of organisms in the nitrogen cycle. In this study, we identified amoA (42 clones) and nirS (98 clones) genes in parallel from samples recovered from the deep-sea of the Nankai Trough. Genes for nirK could not be amplified from these samples. The obtained amoA sequences were not so closely related to those of amoA genes from previously isolated environmental organisms and those of genes from environmental DNAs. On the other hand, the nirS genes sequenced showed some relationship to some extent with the latter genes. However, some of the newly sequenced genes formed clusters, which contained no previously identified genes on a phylogenetic tree. These are likely present in specific denitrifiers from the deep-sea. The results of this study further suggest that nitrifiers and denitrifiers live in the same area of the Nankai Trough and the nitrogen cycle exists even in the deep-sea.     

Multicolour digital image analysis system for identification of bacteria and concurrent assessment of their respiratory activity

AIMS: To develop a rapid and simple multicolour digital image analysis system for simultaneous identification of bacteria and assessment of their metabolic activity. METHODS AND RESULTS: We developed an image analyser capable of distinguishing triple-stained bacterial cells. Bacteria were stained with a nucleic acid stain, a fluorescent antibody and a fluorescent metabolic indicator for enumeration, species identification and assessment of metabolic activity. This multicolour image analyser was used to simultaneously identify Escherichia coli O157:H7 in milk samples and assess their respiratory activity. The images of the triple-stained bacteria were captured using a combination of blue light and u.v. excitation and an epifluorescence microscope and were processed by our image analyser. We found a good correlation between the counts of actively respiring (r = 0.93) and total (r = 0.94) E. coli O157:H7 measured by digital image analysis and visual observation. CONCLUSION: The multicolour digital image analysis system described here was able to quantify active pathogenic micro-organisms within 2 h. SIGNIFICANCE AND IMPACT OF THE STUDY: This multicolour image analysis allows the rapid and simultaneous quantification of bacteria, identification of species and assessment of metabolic activity.     

A method for the microinjection and culture of protoplasts at very low densities

A method has been developed which allows the recovery of calli from a high proportion of individual, injected, mesophyll protoplasts of Nicotiana tabacum c.v. Xanthi. A small drop of low melting point agarose is used both to hold protoplasts during microinjection and for their subsequent culture in feeder dishes. The feeder dishes consist of "beads" of protoplasts at a high density set in agarose to "feed" the infected protoplasts across a liquid medium.The method has been used successfully both with normal protoplasts and protoplasts from which the vacuole has been removed.Abbreviations NT medium Nagata-Takebe medium (Nagata and Takebe, 1971) - MS medium Murashige-Skoog medium (Murashige and Skoog, 1962) - NAA 1-Naphthaleneacetic acid - BAP 6-Benzylaminopurine - LMP agarose low melting point agarose     

An image analysis method for assessment of prognostic risk in prostate cancer: a pilot study

Fully automated computerized image analysis at medium resolution (1 micron per pixel space) was applied in a study of 17 patients with stage D1 prostate cancer. For this pilot study, patients were selected on the basis of very good or very poor outcome. This selection was made in the hope of identifying morphometric features that are useful in prognostic assessment. Nine patients with good outcome were alive after 7 or more years of follow-up and eight patients with poor prognosis were dead of disease in less than 3 years. All patients were treated with 125I seed implantation to the prostate and pelvic lymph node dissection. Hormone therapy was not administered until the time of distant failure. Routine hematoxylin and eosin tissue sections of lymph nodal tissue bearing metastatic neoplasm were used for this analysis. A minimum of eight scenes per case was analysed. Of 50 measured parameters on each cluster, five (gray level distribution, number of cell clusters per scene, bending energy, average cluster area and cluster polarity) were useful to distinguish patients with good outcome from those with a poor outcome. Thirteen of the 17 patients were correctly classified by image analysis (P = 0.044, Fischer's exact test). By comparison, flow cytometry of the identical tissue samples correctly classified 14 of 17 patients (diploid, good outcome; aneuploid, poor outcome; P = 0.009). Only one patient was incorrectly classified by both image analysis and flow cytometry, implying a complementary prognostic role for the two methods. The encouraging result, successful identification of useful morphometric features, justifies a larger study of unselected patients.     

Structural analysis of the ntrBC genes of deep-sea piezophilic Shewanella violacea

The ntrBC genes coding for the bacterial signal-transducing protein NtrB and the bacterial enhancer-binding protein NtrC of deep-sea piezophilic Shewanella violacea were cloned and their nucleotide sequences were analyzed. The conserved regions of NtrB and those of NtrC are well conserved in the case of the ntrBC products of S. violacea.     

An assessment of methods for measuring volumes of planktonic bacteria, with particular reference to television image analysis

Several methods for measuring volumes of planktonic bacteria were compared. The eyepiece micrometer grossly overestimated cell width (47–65%) and hence volume (73%). Shrinkage occurred with scanning electron microscopy, so volumes were underestimated by about 77%. All the other methods gave similar results (mean volume = 0.133 µm³). The optimum technique was to filter acridine orange stained bacteria through polycarbonate membrane filters (0.2 µm) which were photographed with epifluorescence microscopy using Kodak Tri-X pan film. We recommend that volumes are estimated from individual area and perimeter measurements of at least 200 bacteria with a Quantimet 800 or Q10 image analyzer.