Distribution and breeding biology of offshore cichlids in Lake Malawi/ Niassa

Synopsis Lake Malawi/Niassa is the second largest rift valley lake in Africa, with an area of 28 800 km², and an average and maximum depth of 292 m and>700 m, respectively. The lake is well known for the great diversity of fish occurring in the inshore zone. However, the offshore fish community is poorly documented. To rectify this, regular sampling was undertaken over two years, using trawl and gillnets at six offshore locations. This paper reports on the species composition, spatial distribution and breeding biology of the dominant cichlids species from the offshore pelagic zone. Cichlids formed approximately 88% of the offshore fish biomass. Most abundant were two species of zooplanktivores in the genus Diplotaxodon that made up 71% of the offshore fish biomass. An undescribed species, given the cheironym D. bigeye, was mainly found at a depth of 220 m during the day, but moved into near surface waters at night when the moon was full. This species was absent from the shallow regions of the lake. The most abundant offshore species was D. limnothrissa, which was distributed evenly throughout the lake to depths of 220 m. A less common offshore zooplanktivore was Copadichromis quadrimaculatus that formed 5% of the biomass and was confined to the upper 100 m of the water column. The main piscivores were in the genus Rhamphochromis and formed approximately 10% of the offshore fish biomass. The two dominant taxa were R. longiceps and the large Rhamphochromis group, and both were more common in the southern half of the lake. The former occurred mainly in the upper 100 m of the water column and the latter mainly at depths of 100–150 m. The length at maturity and fecundity for the dominant offshore species were estimated and seasonal breeding cycles determined from gonad activity and gonado-somatic indices.     

Asymmetric somatic cell hybridization in plants

As part of an investigation into whether it would be possible to use UV radiation as a suitable pretreatment of the donor cells in asymmetric hybridization experiments, the effects of this treatment on sugarbeet (Beta vulgaris L.) protoplast DNA have been determined and compared with those of gamma radiation. Both nuclear and mitochondrial DNAs have been examined. The dose ranges chosen had previously been determined to be potentially applicable for fusion experiments. Pulsed field gel electrophoresis and standard agarose gel electrophoresis have been used in combination with laser scanning densitometry to gain an insight into the precise nature and degree of DNA damage resulting from irradiation. It was observed that UV radiation introduced substantial modifications to sugarbeet DNA. Double-strand breaks were detected, the number of which was found to be directly proportional to the dose applied. Such breaks indicate that UV radiation results in substantial chromosome/chromatid fragmentation in these cells. Chemical modifications to the DNA structure could be revealed by a significant reduction in DNA hybridization to specific mitochondrial and nuclear DNA probes. Following gamma irradiation at equivalent biological doses (i.e. those just sufficient to prevent colony formation) much less damage was detected. Fewer DNA fragments were produced indicating the presence of fewer double-strand breaks in the DNA structure. In comparison to UV treatments, DNA hybridization to specific probes following gamma radiation was inhibited less. For both treatments, mitochondrial DNA appeared more sensitive to damage than nuclear DNA. The possibility that DNA repair processes might account for these differences has also been investigated. Results indicate either that repair processes are not involved in the effects observed or that DNA repair occurs so fast that it was not possible to demonstrate such involvement with the experimental system used. The general relevance of such processes to asymmetric cell hybridization is discussed.     

Rapid purification of recombinant listeriolysin O (LLO) from Escherichia coli

Listeria monocytogenes is an emerging foodborne pathogen that is responsible for about 28% of the food-related deaths in the United States. It causes meningitis, septicaemia and in pregnant women, abortions and stillbirths. It secretes the toxin listeriolysin O (LLO) that allows the bacteria to enter the cytoplasm of host cells, where they can replicate and cause further infection. The rapid and sensitive detection of LLO in food samples is a key to monitoring and prevention of listeriosis. To facilitate the development of an assay for the specific detection of LLO, a source of LLO is essential. We outline a method of producing a large amount of functional LLO by expressing the hlyA gene (encoding LLO) in Escherichia coli and purifying the recombinant LLO using a one-step purification method. Purification of the protein takes only about 4 h. We compared three different expression constructs for the production of the toxin, which tends to interact strongly with a number of column surfaces. The first construct, using an intein fusion system, could not be purified from the column. The second LLO construct contained an N-terminus His tag; it gave a yield of 3.5–8 mg l⁻¹. The third contained a C-terminus His tag; it gave a yield of 2.5 mg l⁻¹ LLO. The purified LLO from the latter two constructs retained its activity at 4°C for over a year as determined by bovine red blood cell hemolysis assay. This paper provides a much-needed, high-yield, one-step purification method of recombinant LLO, and is the first to provide evidence of long-term stability of the toxin for further applications.     

39K nuclear magnetic resonance and a mathematical model of K+ transport in human erythrocytes

³⁹K nuclear magnetic resonance was used to measure the efflux of K⁺ from suspensions of human erythrocytes [red blood cells (RBCs)], that occurred in response to the calcium ionophore, A23187 and calcium ions; the latter activate the Gárdos channel. Signals from the intra- and extracellular populations of ³⁹K⁺ were selected on the basis of their longitudinal relaxation times, T ₁, by using an inversion- recovery pulse sequence with the mixing time, τ₁, chosen to null one or other of the signals. Changes in RBC volume consequent upon efflux of the ions also changed the T ₁ values so a new theory was implemented to obviate a potential artefact in the data analysis. The velocity of the K⁺ efflux mediated by the Gárdos channel was 1.19±0.40 mmol (L RBC)⁻¹ min⁻¹ at 37°C.     

Floral expression of a gene encoding an E2-relatedubiquitin-conjugating protein from Arabidopsis thaliana

An Arabidopsis thaliana gene (UBC6) encoding a homologue to ubiquitin-conjugating enzymes has been isolated which is capable of encoding a protein of 183 amino acids of ca. 21 kDa. Northern analysis indicates that the gene is expressed in flowers, seeds and, to a somewhat lesser extent, in 10-day seedlings but not in mature leaves, callus and pre-flowering plants. This pattern of expression is confirmed using transgenic Arabidopsis plants containing a UBC6 promoter-GUS gene fusion construct. These plants displey GUS activity in mature anthers prior to dehiscence, in developing embryos, sepals and the style after pollination.     

Spatial and temporal variation in carbon isotope discrimination in prairie graminoids

We present the results of a 5-year examination of variation in the stable carbon isotope composition () of three C₃ graminoid species from a Sandhills prairie: Agropyron smithii, Carex heliophila and Stipa comata. Although consistent species-specific patterns for mean were seen, there was also significant and substantial among-year and within-season variation in . A smaller contribution to variation in came from topographic variation among sampling sites. Effects of species, year, season and topography contribute to variation in in an additive manner. An association between climate and exists that is consistent with previous work suggesting that reflects the interplay between photosynthetic gas exchange and plant water relations. Within the growing season, the time over which integrates plant response to the environment ranges from days to months.     

Metabolic reprogramming of cancer-associated fibroblasts by TGF-β drives tumor growth: Connecting TGF-β signaling with “Warburg-like” cancer metabolism and L-lactate production

We have previously shown that a loss of stromal Cav-1 is a biomarker of poor prognosis in breast cancers. Mechanistically, a loss of Cav-1 induces the metabolic reprogramming of stromal cells, with increased autophagy/mitophagy, mitochondrial dysfunction and aerobic glycolysis. As a consequence, Cav-1-low CAFs generate nutrients (such as L-lactate) and chemical building blocks that fuel mitochondrial metabolism and the anabolic growth of adjacent breast cancer cells. It is also known that a loss of Cav-1 is associated with hyperactive TGF-β signaling. However, it remains unknown whether hyperactivation of the TGF-β signaling pathway contributes to the metabolic reprogramming of Cav-1-low CAFs. To address these issues, we overexpressed TGF-β ligands and the TGF-β receptor I (TGFβ-RI) in stromal fibroblasts and breast cancer cells. Here, we show that the role of TGF-β in tumorigenesis is compartment-specific, and that TGF-β promotes tumorigenesis by shifting cancer-associated fibroblasts toward catabolic metabolism. Importantly, the tumor-promoting effects of TGF-β are independent of the cell type generating TGF-β. Thus, stromal-derived TGF-β activates signaling in stromal cells in an autocrine fashion, leading to fibroblast activation, as judged by increased expression of myofibroblast markers, and metabolic reprogramming, with a shift toward catabolic metabolism and oxidative stress. We also show that TGF-β-activated fibroblasts promote the mitochondrial activity of adjacent cancer cells, and in a xenograft model, enhancing the growth of breast cancer cells, independently of angiogenesis. Conversely, activation of the TGF-β pathway in cancer cells does not influence tumor growth, but cancer cell-derived-TGF-β ligands affect stromal cells in a paracrine fashion, leading to fibroblast activation and enhanced tumor growth. In conclusion, ligand-dependent or cell-autonomous activation of the TGF-β pathway in stromal cells induces their metabolic reprogramming, with increased oxidative stress, autophagy/mitophagy and glycolysis, and downregulation of Cav-1. These metabolic alterations can spread among neighboring fibroblasts and greatly sustain the growth of breast cancer cells. Our data provide novel insights into the role of the TGF-β pathway in breast tumorigenesis, and establish a clear causative link between the tumor-promoting effects of TGF-β signaling and the metabolic reprogramming of the tumor microenvironment.     

Production of Hexagenia limbata nymphs in contaminated sediments in the Upper Great Lakes Connecting Channels

In April through October 1986, we sampled sediments and populations of nymphs of the burrowing mayfly, Hexagenia limbata (Serville), at 11 locations throughout the connecting channels of the upper Great Lakes, to determine if sediment contaminants adversely affected nymph production. Production over this period was high (980 to 9231 mg dry wt m^-2) at the five locations where measured sediment levels of oil, cyanide, and six metals were below the threshold criteria of the U.S. Environmental Protection Agency and the Ontario Ministry of Environment for contaminated or polluted sediments, and also where the criterion for visible oil given in the Water Quality Agreement between the U.S.A. and Canada for connecting waters of the Great Lakes was not exceeded. At the other six locations where sediments were polluted, production was markedly lower (359 to 872 mg dry wt m^-2). This finding is significant because it indicates that existing sediment quality criteria can be applied to protect H. limbata from oil, cyanide, and metals in the Great Lakes and connecting channels where the species fulfills a major role in secondary production and trophic transfer of energy.Contribution 733, of the National Fisheries Research Center-Great Lakes, U.S. Fish and Wildlife Service, 1451 Green Road, Ann Arbor, MI 48105.     

Learning by the parasitoid wasp, Aphidius ervi (Hymenoptera: Braconidae), alters individual fixed preferences for pea aphid color morphs

Learning, defined as changes in behavior that occur due to past experience, has been well documented for nearly 20 species of hymenopterous parasitoids. Few studies, however, have explored the influence of learning on population-level patterns of host use by parasitoids in field populations. Our study explores learning in the parasitoid Aphidius ervi Haliday that attacks pea aphids, Acyrthosiphon pisum (Harris). We used a sequence of laboratory experiments to investigate whether there is a learned component in the selection of red or green aphid color morphs. We then used the results of these experiments to parameterize a model that examines whether learned behaviors can explain the changes in the rates of parasitism observed in field populations in South-central Wisconsin, USA. In the first of two experiments, we measured the sequence of host choice by A. ervi on pea aphid color morphs and analyzed this sequence for patterns in biased host selection. Parasitoids exhibited an inherent preference for green aphid morphs, but this preference was malleable; initial encounters with red aphids led to a greater chance of subsequent orientation towards red aphids than predicted by chance. In a second experiment, we found no evidence that parasitoids specialize on red or green morphs; for the same parasitoids tested in trials separated by 2 h, color preference in the first trial did not predict color preference in the second, as would be expected if they differed in fixed preferences or exhibited long-term (> 2 h) learning. Using data from the two experiments, we parameterized a population dynamics model and found that learning of the magnitude observed in our experiments leads to biased parasitism towards the most common color morph. This bias is sufficient to explain changes in the ratio of aphid color morphs observed in field sites over multiple years. Our study suggests that for even relatively simple organisms, learned behaviors may be important for explaining the population dynamics of their hosts.