Atrial natriuretic peptide clearance receptors in trout: effects of receptor inhibition in vivo.

Inactivation of circulating atrial natriuretic peptides (ANP) by specialized clearance (C) receptors has been characterized in mammals but has not been examined in fish. In the present study arterial blood pressure, urine flow, and urine electrolytes were measured in chronically cannulated rainbow trout, Oncorhynchus mykiss, during infusion of the specific C receptor inhibitor, SC-46542. C receptor inhibition decreased blood pressure and pulse pressure, increased heart rate and urine flow, but did not affect urinary electrolyte concentrations. These responses are consistent with those produced by exogenous ANP administration and indicate that: (1) trout possess C-type receptors capable of ANP inactivation, and (2) ANP-like molecules are continuously released and metabolized by trout in vivo. Phosphoramidon, an inhibitor of neutral endopeptidase, did not enhance the SC-46542 response, indicating that C receptors predominate in ANP inactivation in these fish.     

Seasonal dynamics of a glycan-degrading flavobacterial genus in a tidally mixed coastal temperate habitat

Coastal marine habitats constitute hotspots of primary productivity. In temperate regions, this is due both to massive phytoplankton blooms and dense colonisation by macroalgae that mostly store carbon as glycans, contributing substantially to local and global carbon sequestration. Because they control carbon and energy fluxes, algae-degrading microorganisms are crucial for coastal ecosystem functions. Environmental surveys revealed consistent seasonal dynamics of alga-associated bacterial assemblages, yet resolving what factors regulate the in situ abundance, growth rate and ecological functions of individual taxa remains a challenge. Here, we specifically investigated the seasonal dynamics of abundance and activity for a well-known alga-degrading marine flavobacterial genus in a tidally mixed coastal habitat of the Western English Channel. We show that members of the genus Zobellia are a stable, low-abundance component of healthy macroalgal microbiota and can also colonise particles in the water column. This genus undergoes recurring seasonal variations with higher abundances in winter, significantly associated to biotic and abiotic variables. Zobellia can become a dominant part of bacterial communities on decaying macroalgae, showing a strong activity and high estimated in situ growth rates. These results provide insights into the seasonal dynamics and environmental constraints driving natural populations of alga-degrading bacteria that influence coastal carbon cycling.     

Effect of hydraulic and organic overloading on thermophilic downflow stationary fixed film (DSFF) reactor

Summary Tests to determine the stability of thermophilic DSFF reactors using bean blanching waste as substrate, showed them to become unstable at 30 to 40 kg/m³/day whether hydraulically or organically overloaded. This level is significantly less than mesophilic reactors could handle (90 kg/m³/day).     

Maximum entropy model: Estimating the relative suitability of cetacean habitat in the northern Savu Sea,Indonesia

An understanding of cetacean distribution is necessary to gain insights into crucial ecological processes for species conservation management. However, cetacean habitat preference and distribution in the northern Savu Sea, Indonesia, are still poorly understood. We use maximum entropy modeling with five environmental predictors to describe habitat preference and distribution of seven cetacean species in the northern Savu Sea. Our study confirms that static predictors are the most important variables in explaining habitat preferences of seven cetacean species in the northern Savu Sea. Seasonally, each cetacean species has a different environmental preference. Globicephala macrorhynchus prefers the open nearshore areas adjacent to deep waters. Stenella attenuata is associated with nearshore habitats and higher productivity areas. Stenella longirostris prefers nearshore habitat during coastal upwelling events. Tursiops truncatus prefers nearshore sheltered habitat. Grampus griseus habitats are highly related to depth and steep gradients around the isobaths of 200–1,000 m. Feresa attenuata are associated with deep waters and cooler sea temperature. Pseudorca crassidens prefers protective bays with productive waters. This study provides important information for reviewing marine spatial plans of the northern Savu Sea, specifically on managing species fisheries interaction, optimizing surveillance, and regulating marine traffic.     

All Clone-mates are not Created Equal: Fitness Discounting Theory Predicts Pea Aphid Colony Structure

As many animals form aggregations, group-living is believed to be adaptive. It is not clear, though, if clonal aggregations should have spatial structure, as protecting clone-mates is the genetic equivalent of protecting self. ‘Fitness discounting’ theory states that immediate reproductive opportunities are of greater value than are delayed opportunities. Thus, we hypothesized that spatial structure should exist in colonies of unequal-aged, clonal organisms like aphids. We predicted that, compared to reproductive (5^th instar) individuals, young (2^nd and 3^rd instar) juveniles (i.e., the youngest instars capable of emitting an alarm signal) should occupy the most dangerous feeding positions. As individuals approach reproductive maturity and alarm signals decline (4^th instar), they should occupy increasingly safer feeding positions. We tested these predictions by documenting the spatial distribution of two (green and pink) pea aphid, Acyrthosiphon pisum, asexual lineages (“clones”) at 1, 3, 6, 24, 48, 72, 96, and 120 h after host plant colonization. Confirming our hypothesis, we found that early (2^nd and 3^rd) instar aphids occupied feeding positions with the highest predation risk. Upon reaching the penultimate (4^th) instar, individuals dispersed from the colony to colonize other leaves. Thus, pea aphid colonies are not random aggregations; aphid colony structure can be explained by fitness discounting theory.