Diet Supplementation with Madagascar Cockroach Flour (Gromphadorhina portentosa) Improved Malnourished Mice Metabolism and Ameliorated Liver Inflammatory Markers

Background: Malnutrition and accessible high-quality protein food sources are two of the world’s alimentary challenges. Edible insects are nowadays recognized as a possible functional food solution with lower environmental impacts and beneficial health effects. Objective: In this context, the aim of the present study is to evaluate Madagascar cockroach (Gromphadorhina portentosa) flour supplementation effects on a malnourished mice model, considering its effects on metabolism, adiposity, and inflammatory liver profiles. Method: Male Swiss mice are divided into five groups and fed with experimental diets for eight weeks, including a standard diet (ST) ad libitum, AIN93 ad libitum (AIN), insect flour-enriched AIN93 (AIN+IM), AIN-40% feed restriction (AIN-FR), and insect flour-enriched AIN-40% of feed restriction (AIN-FR+IM). The metabolic profiles, adipose tissue, biochemical parameters, and liver IL-6 and IL-10 expression are evaluated. Results: The main findings show a body weight and metabolism improvement followed by an increased recovery of the adipocyte area in the AIN-FR+IM group when compared to the AIN-FR malnourished group. Reduced hepatic IL-6 and increased IL-10 expression are also detected in the AIN-FR+IM group. Conclusion: The results show that insect flour supplementation enhances both body weight and adiposity gain/recovery. The results also show hepatic improvement of inflammatory markers.

Draft Genome Sequence of Rhodococcus rhodochrous Strain G38GP, Isolated from the Madagascar Hissing Cockroach

Rhodococcus rhodochrous is a bacterial species with applications in biocatalysis and bioremediation. Here, we report the draft genome sequence of strain G38GP, isolated from the gut of the cockroach Gromphadorhina portentosa . The genome consists of 76 contigs, with a total length of 6,256,198 bp and a GC content of 67.82%.

The first insight into full-fat superworm (Zophobas morio) meal in guppy (Poecilia reticulata) diets: a study on multiple-choice feeding preferences and growth performance

Insect meals are sustainable alternative protein sources in animal nutrition. However, the data in the topic of their application in petfood and ornamental fish nutrition are scarce. Thus the present study was undertaken to asses their usability in guppy (Poecilia reticulata) diets. The first experiment aimed to investigate the attractiveness of select insect meals for guppies, and the second in evaluation of superworm (Zophobas morio) meal monodiet effects. The first experiment (free-choice feeding test) lasted five days. Fish were given a choice between four attractants: fish meal, black soldier fly (Hermetia illuces) meal (HI), Madagascar cockroach (Gromphadorhina portentosa) meal (MC), and superworm (Zophobas morio) meal (ZM). The preliminary part of the study showed that the most frequently chosen attractant throughout the entire free-choice feeding test period was ZM. Based on the obtained results, the second part of the study was designed as a growth test with the use of a ZM monodiet compared to commercial feed. The experiment lasted 90 days, and 150 guppy fry were used. The fish were randomly divided into two groups (CON - commercial feed, ZM - Zophobas morio meal). No effects of dietary treatment were found in terms of survival rate, fish body length, or fish body length gain. The present study shows that ZM was the most preferred attractant and that a monodiet based on insect meal can be successfully applied in guppy fry nutrition.

Three-dimensional analysis of the heart function and effect cholinergic agonists in the cockroach Gromphadorhina portentosa

Many relevant aspects of mammal’s cardiac physiology have been mainly investigated in insect models such as Drosophila melanogaster and Periplaneta americana. Cardiac function has been poorly studied in the cockroach Gromphadorhina portentosa, which has some advantages for experimental purposes such as an easier culture, bigger organs and a robust physiology. On the other hand, the study of cardiac physiology in insects has been largely improved since the arrival of digital imaging technologies for recording purposes. In the present work, we introduce a methodology of video recording coupled to an isotonic transducer for a three-dimensional analysis of the heart and intracardiac valves of G. portentosa. We used this methodology for assessing the physiological responses of the cockroach heart upon the application of different cholinergic neurotransmitters (acetylcholine, nicotine and muscarine). We recorded in detail the relationship between intracardiac valves movement, hemolymph flow, diastole and systole. Acetylcholine and nicotine induced a biphasic effect on the cardiac frequency. Acetylcholine increased the diastolic opening. Nicotine at high concentration caused paralysis. Muscarine induced no major effects. These findings suggest a combined action of cholinergic agonists for a finely tuned the cardiac frequency, intracardiac valves function and cardiac cycle.

Localization of Biobotic Insects Using Low-Cost Inertial Measurement Units

Disaster robotics is a growing field that is concerned with the design and development of robots for disaster response and disaster recovery. These robots assist first responders by performing tasks that are impractical or impossible for humans. Unfortunately, current disaster robots usually lack the maneuverability to efficiently traverse these areas, which often necessitate extreme navigational capabilities, such as centimeter-scale clearance. Recent work has shown that it is possible to control the locomotion of insects such as the Madagascar hissing cockroach (Gromphadorhina portentosa) through bioelectrical stimulation of their neuro-mechanical system. This provides access to a novel agent that can traverse areas that are inaccessible to traditional robots. In this paper, we present a data-driven inertial navigation system that is capable of localizing cockroaches in areas where GPS is not available. We pose the navigation problem as a two-point boundary-value problem where the goal is to reconstruct a cockroach’s trajectory between the starting and ending states, which are assumed to be known. We validated our technique using nine trials that were conducted in a circular arena using a biobotic agent equipped with a thorax-mounted, low-cost inertial measurement unit. Results show that we can achieve centimeter-level accuracy. This is accomplished by estimating the cockroach’s velocity—using regression models that have been trained to estimate the speed and heading from the inertial signals themselves—and solving an optimization problem so that the boundary-value constraints are satisfied.