The fruit fly Drosophila melanogaster is a classic research object in genetics and systems biology. In the genetic analysis of flies, a routine task is to determine the offspring size and gender ratio in their populations. Currently, these estimates are made manually, which is a very time-consuming process. The counting and gender determination of flies can be automated by using image analysis with deep learning neural networks on mobile devices. We proposed an algorithm based on the YOLOv4-tiny network to identify Drosophila flies and determine their gender based on the protocol of taking pictures of insects on a white sheet of paper with a cell phone camera. Three strategies with different types of augmentation were used to train the network. The best performance (F1 = 0.838) was achieved using synthetic images with mosaic generation. Females gender determination is worse than that one of males. Among the factors that most strongly influencing the accuracy of fly gender recognition, the fly’s position on the paper was the most important. Increased light intensity and higher quality of the device cameras have a positive effect on the recognition accuracy. We implement our method in the FlyCounter Android app for mobile devices, which performs all the image processing steps using the device processors only. The time that the YOLOv4-tiny algorithm takes to process one image is less than 4 s.

Standardization of conditions under which insects are kept is of great importance when studying their physiology and researchers do their best to maintain it. Nevertheless, sometimes an obvious side effect of some unaccounted factor affecting insects’ reproduction can be revealed even under thoroughly controlled laboratory conditions. We faced such a phenomenon when studying the fertility level in two wild type Drosophila melanogaster strains. For fertility analysis, 50 newly emerged females and 50 males of each strain under study were transferred to fresh medium daily within 10 days. We found out that fertility of both strains was stable on days 2–10 after the oviposition onset in one experiment, while in another one it was significantly decreased during days 5–10. When compared to publicly available meteorological data, these changes in the fertility level demonstrated a strong association with one weather factor: barometric pressure. Thus, we conclude that changes in atmospheric pressure can be considered a factor affecting insects reproduction and discuss a possible mechanism of their influence on fertility.

The best-known effect of the intracellular bacterium Wolbachia is its mostly negative influence on the reproduction of the host. However, there is evidence of a positive influence of Wolbachia on the host’s resistance to stress, pathogens, and viruses. Here, we analyzed the effects of two Wolbachia strains belonging to wMel and wMelCS genotypes on D. melanogaster traits, such as fertility, survival under acute heat stress, and developmental rate. We found that D. melanogaster lines under study differ significantly in the above-mentioned characteristics, both when the natural infection was preserved, and when it was eliminated. One of Wolbachia strains, wMel, did not affect any of the studied traits. Another strain, wMelPlus, had a significant effect on the development time. Moreover, this effect is observed not only in the line in which it was discovered but also in the one it was transferred to. When transferred to a new line, wMelPlus also caused changes in survival under heat stress. Thus, it could be concluded that Wolbachia–Drosophila interaction depends on the genotypes of both the host and the symbiont, but some Wolbachia effects could depend not on the genotypes, but on the fact of recent transfer of the symbiont.

The larch bud gall midge (Dasineura rozhkovi Mamaev et Nikolskij) is one of the main pests infesting larches. Its activity causes developmental defects and a noticeable decrease in population growth in adult Siberian larches (Larix sibirica Ledeb.). Due to its complex life cycle and active presence in areas of human habitation, this insect is difficult to exterminate using common methods. D. rozhkovi has not been studied before with the use of sequencing technologies, which means there is no information on the mechanisms occurring in its body at the molecular level. Here, we present for the first time a de novo assembly and analysis of the D. rozhkovi transcriptome. We found a pronounced sexual dimorphism in differential gene expression in D. rozhkovi imagoes and performed a phylogenetic analysis using earlier-published genome assemblies of the insects belonging to several large clades. The resulting phylogenetic tree includes D. rozhkovi and eight other gall midge species and shows the closest relationship between D. rozhkovi and the Hessian fly (Mayetiola destructor Say). We believe that the obtained results can be further used for developing measures to control this pest.