A member of the cyanobacterial genus Cylindrospermopsis Seenayya et Subba Raju (Order Nostocales) invaded Lake Kinneret (Israel) in 1998. Since then it has been found in the water column nearly every summer, initially at low concentrations, but since 2003 it formed major summer blooms. The goals of the present study were to identify the invading species based on its morphology, annual life cycle, toxicity, genetic markers, and its phylogeny, and to examine its range of morphological variability. Cell counts, allometric measurements, and filament morphology were determined on samples collected weekly from a mid-lake station throughout 2005. Akinetes, heterocytes, filament end types, cellular contents, and the annual cycle of filament morphology were described, supporting the identification as Cylindrospermopsis raciborskii (Woloszynska) Seenayya et Subba Raju. Cells had many small, few large, or no dark granules presumed to be polyphosphate bodies. Filament fragmentation was observed and six types of filament ends were described. Sequence analysis of the 16S rRNA and ITS-L DNA fragment from a laboratory isolate of the cyanobacterium also confirmed the identification as C. raciborskii. Biomass of this species collected from Lake Kinneret during a bloom did not show toxicity in Artemia bioassays, and the toxin cylindrospermopsin was not detected in a methanolic extract of the isolate. Genetic examination indicated that C. raciborskii from Lake Kinneret lacked the cyrJ component of the cylindrospermopsin synthase cluster and, thereby, was incapable of producing the toxin. Due to the morphological plasticity of this species, the identification of C. raciborskii from Lake Kinneret was not straight forward and required taking multiple approaches, including microscopic observations over a full annual cycle, culture isolation, and molecular taxonomy.
1. The abundance of cysts of the bloom-forming dinoflagellate Peridinium gatunense in the sediments of Lake Kinneret and the effects of environmental conditions on encystment were studied in relation to bloom dynamics. Peak cyst formation coincided with the highest growth rate of the population, prior to bloom peak. 2. Peridinium cysts were counted in water and sediment corer samples from 2000 to 2003 and in archived sediment trap samples collected during 1993-94. The cyst data were examined in relation to ambient temperature and nutrient records, and revealed no direct correlation. 3. In laboratory encystment experiments with Peridinium cells collected from the lake, 0.2-3% of the vegetative cells encysted. Temperature, light and cell density had no significant effect on the percentage of encystment. 4. Cysts were always present in the lake sediments but their abundance in 'non Peridinium' years was much lower than after a massive bloom. Vegetative cells were always present in the water column after the collapse of the annual dinoflagellate bloom, potentially serving as the inoculum for the next bloom. We propose that the hardy cysts serve as an emergency 'gene bank' to initiate population build up following catastrophic die outs.
We describe a novel approach to combat the challenge of localizing acoustically tagged sharks in a noisy sea environment. The common methodology for localizing acoustically tagged marine fauna involves triangulization based on time difference of arrival measurements. Yet, especially in a high noise sea environment, often the tag's acoustic emissions are received by less than three receivers, and localization ambiguity arises. We refer to this problem as under-ranked localization, and offer a solution-based on the concept of belief propagation in a hidden Markov Model that only re quires detection by two receivers. Specially, to solve the localization ambiguity, we use the forwardbackward algorithm to propagate prior solutions while constrain the expected maximum speed of the shark. We showcase our approach over a database of detections from tagged sharks, collected in the vicinity of the Hadera power station. Our results show that our method accurately solves the localization ambiguities, and, as a result, allows the usage of a significantly larger dataset of underranked detections, which is usually wasted.
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