Biology subjects

Beatty, C. D.

Publications and source records attributed to Beatty, C. D..

5 recordsLinked to original sources

bioRxiv2024

The Blueprint for Survival: The Blue Dasher Dragonfly as a Model for Urban Adaptation

Human alteration of natural environments and habitats is a major driver of species decline. However, a handful of species thrive in human altered environments. The biology, distribution, population structure, and molecular adaptations enabling certain species to thrive in human-altered habitats are not well understood. Here, we evaluate the population and functional genomics, ecological niche and distributions, and geometric morphometrics of the blue dasher (Pachydiplax longipennis), one of the most ubiquitously observed insects in human altered habitats. Using resequencing data we identify a number of genes involved with the success of the blue dasher in human altered habitats, including loci contributing to immune function and response to oxidative stress. Some genes related to these functions are found in regions of strong population structure, while others are not, potentially indicating both regional and widespread adaptations to urban environments within this species. Using one of the most robust locality datasets for any species to date, we also generate habitat suitability predictions which show that P. longipennis has spread with urbanization, suggesting humans have created suitable habitat for this species. These results complement morphological and genomic data showing P. longipennis (particularly East of the Rocky Mountains) has the capacity to rapidly disperse to newly suitable habitats. Given the shared barriers to colonizing an urban habitat, we expect that many of the adaptations we have identified in P. longipennis can be used for predicting what animals might succeed in urban habitats more generally.

evolutionary biology↗

bioRxiv2024

Environmental DNA vs. Community Science: Strengths and Limitations for Urban Odonata Surveys

The study of insect decline remains a major frontier in insect biodiversity and conservation. Despite growing concern about accelerating rates of insect decline generally, relatively little data has been compiled about species of aquatic insects. Data is particularly lacking on the distribution of aquatic insects in urban ecosystems. Here, we compare environmental DNA (eDNA) metabarcoding and community science observation as means of monitoring Odonata within an urban system in Southwest Idaho. We show that the distribution of Odonata across this urban landscape is not uniform and that both monitoring methods have different strengths and weaknesses. We found that eDNA metabarcoding was very sensitive to the identification of genera from underrepresented families in the region, but was unable to distinguish between closely related genera, particularly from localities where eDNA could accumulate more damage. On the other hand, community science observations effectively identified the presence of genera from more speciose families but missed the presence of relatively rare species, and those that had a short flight season. These findings suggest that, in our study system, eDNA and community science are highly complementary of each other. In cases where only one method is employed for a monitoring or conservation project, care should be given to account for the biases of each approach.

ecology↗

bioRxiv2024

Elevational and Oceanic Barriers Shape the Distribution, Dispersal and Diversity of Aotearoa's Kapokapowai (Uropetala) Dragonflies

Mountains and islands provide an opportunity for studying the biogeography of diversification and population fragmentation. Aotearoa (New Zealand) is an excellent location to investigate both phenomena due to alpine emergence and oceanic separation. While it would be expected that separation across oceanic and elevation gradients are major barriers to gene flow in animals, including aquatic insects, such hypotheses have not been thoroughly tested in these taxa. By integrating population genomic from sub-genomic Anchored-Hybrid Enrichment sequencing, ecological niche modeling, and morphological analyses from scanning-electron microscopy, we show that tectonic uplift and oceanic vicariance are implicated in speciation and population structure in Kapokapowai (Uropetala) dragonflies. Although Te Moana o Raukawa (Cook Strait), is likely responsible for some of the genetic structure observed, speciation has not yet occurred in populations separated by the strait. We find that the altitudinal gradient across K[a] Tiritiri-o-te-Moana (the Southern Alps) is not impervious but it significantly restricts gene flow between aforementioned species. Our data support the hypothesis of an active colonization of K[a] Tiritiri-o-te-Moana by the ancestral population of Kapokapowai, followed by a recolonization of the lowlands. These findings provide key foundations for the study of lineages endemic to Aotearoa.

evolutionary biology↗

bioRxiv2023

Newly Sequenced Genomes Reveal Patterns of Gene Family Expansion in select Dragonflies (Odonata: Anisoptera)

Gene family evolution plays a key role in shaping patterns of biodiversity across the tree of life. In Insecta, adaptive gene family turnover has broadly been tied to vision, diet, pesticide resistance, immune response and survival in extreme environments. Patterns of gene family evolution are of particular interest in Odonata (dragonflies and damselflies), which represents the first lineage to fly, and one of the most exceptional groups of predators. Previous work in Odonata found expansions of opsin genes are correlated with the diversification of the herbivorous insects that Odonata prey upon, but general trends in gene family turnover has not been studied in this order. Here, we show that two families of suborder Anisoptera (dragonflies), Libellulidae and Petaluridae, have expanded gene repertoire related to their unique life history and diversification patterns. These results are an important step towards understanding why Libellulidae is, generally, a species rich family of short lived species that are highly tolerant to poor water quality, while Petaluridae is a species poor family of habitat and behavioral specialists. Specifically, Libellulidae share expanded gene families related to immune response, desiccation response, and processing of free radicals, which all potentially enable many Libellulidae to inhabit low quality water bodies. Likewise, Petaluridae show unique patterns of gene turnover in gene families implicated in sensory perception, which could be tied to the unique semi-terrestrial lifestyle of the nymphs of this family. Furthermore, Odonata as a whole has a gene gene turnover rate that is an order of magnitude smaller than other studied insect orders, potentially contributing to the relatively low species diversity in the order Odonata compared to other insects. These results offer important hypotheses for the consideration of evolutionary drivers across Insecta.

evolutionary biology↗

bioRxiv2022

A Chromosome-length Assembly of the Black Petaltail (Tanypteryx hageni) Dragonfly

We present a chromosome-length genome assembly and annotation of the Black Petaltail dragonfly (Tanypteryx hageni). This habitat specialist diverged from its sister species over 70 million years ago, and separated from the most closely related Odonata with a reference genome 150 million years ago. Using PacBio HiFi reads and Hi-C data for scaffolding we produce one of the most high quality Odonata genomes to date. A scaffold N50 of 206.6 Mb and a BUSCO score of 96.8% indicate high contiguity and completeness. SignificanceWe provide a chromosome-length assembly of the Black Petaltail dragonfly (Tanypteryx hageni), the first genome assembly for any non-libelluloid dragonfly. The Black Petaltail diverged from its sister species over 70 million years ago. T. hageni, like its confamilials, occupies fen habitats in its nymphal stage, a life history uncommon in the vast majority of dragonflies. We hope that the availability of this assembly will facilitate research on T. hageni and other petaltail species, to better understand their ecology and support conservation efforts.

genomics↗