Understanding the life cycle and dietary requirements of laboratory-reared insects is critical for optimizing resources (including time) and can provide more reliable ecological basis for using such biological control agents in realistic programs. Here, we evaluated the complete development and the predatory abilities of Belostoma anurum (Herrich-Schäffer, 1848) (Hemiptera: Belostomatidae), an aquatic predator widely distributed in Neotropical region, when reared at different diets. We firstly investigated the predatory performance of B. anurum nymphs upon mosquito larvae (i.e., larvae of Aedes aegypti (Linnaeus, 1758) or Culex sp. (Diptera: Culicidae)) and, second, whether the immature diets (i.e., arthropod-based diet (mosquito larvae and adults of Notonectidae) or vertebrate (fish larvae)-based diet) affect the predatory behavior of B. anurum adults. The B. anurum egg-to-adult developmental time was 85.1 days in an arthropod-based diet. However, when a fish-based diet was offered after nymphs reached 3rd instar, we recorded up to 50% reductions on the B. anurum developmental time. Interestingly, B. anurum adults could live more than 1 year under laboratory conditions, independently of the immature diet regime. Furthermore, the fish diet-experienced B. anurum adults spent less time feeding on fish larvae when compared with adults that never experienced this type of diet. Predatory results revealed that 2nd instar B. anurum were more efficient to catch and consume larvae of A. aegypti than of Culex sp. Collectively, our findings show that B. anurum is long-lived aquatic predators, and demonstrate the impacts of dietary regime on the life history traits and predatory performance of these insects.
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Sci Rep
December 2024
School of Mathematics and Statistics, Guizhou University, Guiyang, 550025, China.
Nature-inspired bionic algorithms have become one of the most fascinating techniques in computational intelligence research, and have shown great potential in real-world challenging problems for their simplicity and flexibility. This paper proposes a novel nature-inspired algorithm, called the crocodile optimization algorithm (COA), which mimics the hunting strategies of crocodiles. In COA, the hunting behavior of crocodiles includes premeditation and waiting hunting.
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December 2024
Genetic and Animal Breeding, Faculty of Veterinary, Universidad de Extremadura, Cáceres, 10071, Spain.
Background: Wildlife conservation and management aims to restore population declines, it is the vulnerable or endangered populations who require the greatest conservation efforts. In this context, non-invasive sampling has been evaluated as an option for reporting prey/predator impact. Galemys pyrenaicus is currently threatened throughout its range, and cohabits with Nemys anomalus, in Extremadura (Spain).
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December 2024
College of Plant Protection, South China Agricultural University, Guangzhou, 510600, China.
Serangium japonicum (Coleoptera; Coccinellidae) plays a crucial role as a predatory coccinellid in ecosystems, exhibiting adept predation on diverse whitefly species and effectively regulating their population dynamics. Nonetheless, the absence of high-quality genomic data has hindered our comprehension of the molecular mechanisms underlying this predatory beetle. This study performed genome sequencing of S.
View Article and Find Full Text PDFCommun Biol
December 2024
School of Neurobiology, Biochemistry, and Biophysics, Tel Aviv University, Tel Aviv, Israel.
The ability to catch prey is crucial for survival and reproduction and is subject to strong natural selection across predators. Prey capture demands the orchestrated activation of multiple brain regions and the interplay between sensory processing, decision-making, and motor execution. These factors, together with the ubiquity of prey capture across species makes it appealing for comparative studies across neuroscience and ecology.
View Article and Find Full Text PDFInt J Mol Sci
November 2024
College of Sericulture, Textile and Biomass Science, Southwest University, Chongqing 400715, China.
Spider silk is part of a special class of natural protein fibers that have high strength and toughness: these materials have excellent comprehensive properties that are not found in other natural fibers (including silk) or most synthetic fibers. Spider egg case filaments have good hardness, can resist water, can protect spider eggs from external threats, have a significantly high initial modulus and high moisture absorption rate, and are expected to be used as a new generation of environmentally friendly natural polymer fibers and biomaterials. However, spiders are predatory and difficult to rear in large numbers, and it is also difficult to obtain spider egg case filaments in large quantities.
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