Biology subjects

Wallace, J. R. A.

Publications and source records attributed to Wallace, J. R. A..

4 recordsLinked to original sources

bioRxiv2022

Large-scale whole-genome sequencing of migratory Bogong moths Agrotis infusa reveals genetic variants associated with migratory direction in a panmictic population.

One of the most interesting macroscopic phenomena in the animal world is seasonal migration. A central goal of research into animal migration is to better understand the mechanisms that evolved to solve the complex challenges which a migratory life history presents. Each year, and with a high degree of species-level site fidelity, the Australian Bogong moth makes a return migration of up to and over 1000 km between widely distributed breeding grounds and a specific set of aestivation sites in the Australian Alps. It does this without any opportunity to learn the migratory route or the location of the aestivation sites from either older generations or repeated migrations, meaning that the information required by the moth to navigate during its migration must be inherited. The migratory direction, and therefore the inherited navigational information in Bogong moths, varies with breeding site, providing us with an opportunity to search for the source of that heritability by comparing the genomes of moths collected from different breeding areas. We successfully sequenced whole nuclear genomes of 77 Bogong moths collected from across their breeding grounds and summer range, and found that the Bogong moth population contains a large amount of (mostly rare) variation. We found no evidence of population structure, indicating that Bogong moths are panmictic. A genome-wide scan for signals of selection indicate that the Bogong population has recently recovered from a past bottleneck, however genomic regions which have likely undergone balancing selection were also detected. Despite panmixia, four genetic variants in breeding-ground-caught Bogong moths were found to be significantly associated with geographic location, and therefore migratory direction, indicating promising future avenues of research into the molecular basis of long-distance navigation.

genomics↗

bioRxiv2022

Oriented evening flight behaviour in the Bogong moth revealed through automated video tracking

During their period of summer dormancy, Australian Bogong moths Agrotis infusa undertake seemingly random evening flights, filling the air with densities in the dozens per cubic metre. The purpose of these flights is unknown, but they may serve an important role in Bogong moth navigation, which remarkably enables them to return to the same exact summer sites-- generation after generation--after migrating around 1000 km, and with no opportunity to learn their route or destination from prior generations. The recent development of the camera-based insect monitoring method, Camfi, enables quantitative observations of Bogong moth behaviour at an unprecedented scale. To gain a better understanding of the summer evening flights of Bogong moths, we have extended Camfi to facilitate automated video tracking of flying insects, taking the already-high throughput of the method to a new level. We used this new method to record the evening flight behaviour of Bogong moths in two elevational transects below the summit of Mt. Kosciuszko, NSW, on a single night in February 2021, and found that these flights were not random, but were systematically oriented in directions relative to the azimuth of the summit of the mountain. These results stimulate interesting and plausible hypotheses relating to previously unexplained summer evening flight behaviour of Bogong moths, and the mechanisms of their long-distance navigation.

animal behavior and cognition↗

bioRxiv2022

Camera-based monitoring of Bogong moths in Alpine Australia reveals drivers of migratory behaviour

The Bogong moth Agrotis infusa is well known for its remarkable annual round-trip migration from its breeding grounds across eastern Australia to its aestivation sites in the Australian Alps, to which it provides an important annual influx of nutrients. Over recent years, we have benefited from a growing understanding of the navigational abilities of the Bogong moth. Meanwhile, the population of Bogong moths has been shrinking. Recently, the ecologically and culturally important Bogong moth was listed as endangered by the IUCN Red List, and the establishment of a program for long-term monitoring of its population has been identified as critical for its conservation. Here, we present the results of two years of monitoring of the Bogong moth population in the Australian Alps using a recently developed method for automated monitoring of flying insects, named Camfi. We found that the evening flights of Bogong moths occur throughout summer, and are modulated by daily weather factors. We present a simple heuristic model of the arrival to and departure from aestivation sites by Bogong moths, and confirm results obtained from fox-scat surveys which found that aestivating Bogong moths occupy higher elevations as the summer progresses. We also present the first recorded observations of the impact of bushfire smoke on aestivating Bogong moths. We observed a dramatic reduction in the size of a cluster of aestivating Bogong moths during the fire, and evidence of a large departure from the fire-affected area the day after the fire. Our results highlight the challenges of monitoring Bogong moths in the wild, and support the continued use of automated camera-based methods for that purpose.

ecology↗

bioRxiv2021

Inexpensive monitoring of flying insect activity and abundance using wildlife cameras

O_LIThe ability to measure flying insect activity and abundance is important for ecologists, conservationists and agronomists alike. However, existing methods are laborious and produce data with low temporal resolution (e.g. trapping and direct observation), or are expensive, technically complex, and require vehicle access to field sites (e.g. radar and lidar entomology). C_LIO_LIWe propose a method called "camfi" for long-term non-invasive monitoring of the activity and abundance of low-flying insects using images obtained from inexpensive wildlife cameras, which retail for under USD$100 and are simple to operate. We show that in certain circumstances, this method facilitates measurement of wingbeat frequency, a diagnostic parameter for species identification. To increase usefulness of our method for very large monitoring programs, we have developed and implemented a tool for automatic detection and annotation of flying insect targets based on the popular Mask R-CNN framework. This tool can be trained to detect and annotate insects in a few hours, taking advantage of transfer learning. C_LIO_LIWe demonstrate the utility of the method by measuring activity levels and wingbeat frequencies in Australian Bogong moths Agrotis infusa in the Snowy Mountains of New South Wales, and find that these moths have log-normally distributed wingbeat frequencies (mean = 49.4 Hz, std = 5.25 Hz), undertake dusk flights in large numbers, and that the intensity of their dusk flights is modulated by daily weather factors. Validation of our tool for automatic image annotation gives baseline performance metrics for comparisons with future annotation models. The tool performs well on our test set, and produces annotations which can be easily modified by hand if required. Training completed in less than 2 h on a single machine, and inference took on average 1.15 s per image on a laptop. C_LIO_LIOur method will prove invaluable for ongoing efforts to understand the behaviour and ecology of the iconic Bogong moth, and can easily be adapted to other flying insects. The method is particularly suited to studies on low-flying insects in remote areas, and is suitable for very large-scale monitoring programs, or programs with relatively low budgets. C_LI

ecology↗