Biology subjects

Austin, A.

Publications and source records attributed to Austin, A..

4 recordsLinked to original sources

bioRxiv2025

Public Funding for AI in Canada 2011-2022: An equity-focused environmental scan

BackgroundIn this new equity-driven landscape, if there is to be system-wide transformation in research funding allocation, indicators of funding allocations need to be explored. This environmental scan aims to understand how research funding for artificial intelligence (AI) has been allocated and distributed in Canada from 2011-2022. Using geographical representations, we describe and map research funding for Canadian researchers by publicly funded granting agencies and provide analyses for AI research spending since 2011 MethodologyWe developed a rapid environmental scan to create a database of all AI funded projects from the following agencies: CIHR, NSERC, SSHRC, CRC, AMS, NFRF and CFI. Using publicly available research funding reporting and agency websites, we identified through title, keyword and project summary screening, AI projects in English and French for the years 2011-2022. Principal FindingsA total of 4112 projects were identified, with the following information for each project recorded: title, year, institution, city, province, total funding, language, funding agency, funding program and primary investigator. A total of $384,933,265.74 million was allocated for publicly funded AI related projects in Canada from 2011-2022. Average funding per project was $93,612.18. The top three provinces with the most funding for all years are Ontario, Quebec, and British Columbia. The top three funding agencies by total amount for all years were NSERC at $155,267,817, CIHR at $136,594,644, and CFI at $58,317,627 ConclusionThis information can assist in accountability and understanding of Canadas publicly funded research allocations, and provide information related to the distribution of such funds, thus informing equity policy strategies.

scientific communication and education↗

bioRxiv2024

Towards a global barcode reference library for subterranean fauna

Implementation of environmental DNA (eDNA) metabarcoding for biodiversity discovery and assessment offers a unique opportunity to gain new insights into subterranean communities around the world. However, for effective and meaningful identification of species from anonymous eDNA barcodes, a library of known reference sequences with associated correct taxonomic metadata -also called a barcode reference library (BRL) - is required. Here we propose an open, publicly accessible information resource for eDNA biomonitoring of subterranean fauna following findable, accessible, interoperable and reusable (FAIR) principles that can be expanded globally. While similar proposals have been made by other authors for individual taxon groups, here we have analysed a curated BRL of subterranean fauna compiled from existing GenBank and BOLD DNA sequence databases for a minimum of four genes (COI, 18S, 12S, and 16S rRNA). We demonstrate the value of such an initiative to eDNA metabarcoding where custom libraries are used to characterise entire ecosystems under examination. To examine the effectiveness of a custom BRL, we generated metabarcoding data for an exemplar system at Bungaroo Creek in the Pilbara (Australia), a globally significant location of stygofaunal diversity. We compared results of BLAST queries of eDNA Operational Taxonomic Units (OTUs) to our BRL and the GenBank nucleotide database, and observed that for all barcoding regions, the custom BRL identified subterranean ZOTUs that could not be identified using GenBank and worked better in tandem. We use the BRL presented here to propose a four-stage plan for developing data infrastructure for subterranean fauna, especially with respect to eDNA metabarcoding data. To our knowledge, this represents the first published instance of a subterranean BRL being tested against real eDNA metabarcoding data. These findings provide a step forward towards robust DNA-based bioassessments for subterranean biodiversity and further emphasise the need for the eDNA community to work together in facilitating a global BRL.

evolutionary biology↗

bioRxiv2024

What are the best practices for curating eDNA custom barcode reference libraries? A case study using Australian subterranean fauna.

Identification of species for environmental assessment and monitoring is essential for understanding anthropogenic impacts on biodiversity, but for subterranean fauna this task is frequently difficult and time consuming. The implementation of environmental DNA (eDNA) metabarcoding for biodiversity discovery and assessment offers considerable promise for improving the rate, accuracy and efficiency of species detection in ecosystems both above and below the ground. Importantly, for a better understanding of the biodiversity and ecology of organisms detected using eDNA, a custom library of known reference sequences with associated correct taxonomic metadata--i.e., a barcode reference library (BRL)--is required. Yet, minimal guidance is currently available on how an effective (i.e. shareable, multi-sequence, that permits metadata and has a unified nomenclature) and accurate (i.e. verified) custom BRL can be achieved. Here, we present a detailed roadmap for curation of a BRL for subterranean fauna. To do this, we (1) curated a custom sequence database of subterranean fauna at an environmentally sensitive location, Bungaroo Creek in the Pilbara region of Western Australia, for four gene loci useful for eDNA metabarcoding (COI, 18S rRNA, 12S rRNA and 16S rRNA); (2) addressed major gaps in taxonomy and disparate nomenclature of subterranean fauna by estimating 17-29 putative new species with standard delimitation methods, including 34 Barcode Index Numbers (BINs) in BOLD, and (3) summarised a best practice workflow for curation of a custom BRL that has broad applicability and can be applied to any taxa. Scientific Significance StatementIn threatened ecosystems, environmental DNA (eDNA) metabarcoding for biodiversity discovery and assessment offers considerable promise for improvement in the rate, efficiency and accuracy of species detection. For a better understanding of the biodiversity and ecology of organisms detected using eDNA, a custom library of known reference sequences with associated correct taxonomic metadata is required. Minimal guidance is currently available on how an effective (i.e. shareable, multi-sequence, permits metadata and provides a unified nomenclature) custom barcode reference library (BRL) can be achieved for subterranean fauna. Here, we present a road map for sound and reliable curation of a BRL using subterranean fauna from Australia as a case study.

evolutionary biology↗

bioRxiv2020

The rise of the three-spined stickleback: eco-evolutionary consequences of a mesopredator release

Declines of large predatory fish due to overexploitation are restructuring food webs across the globe. It is now becoming evident that restoring these altered food webs requires addressing not only ecological processes, but evolutionary ones as well, because human-induced rapid evolution may in turn affect ecological dynamics. In the central Baltic Sea, abundances of the mesopredatory fish, the three-spined stickleback (Gasterosteus aculeatus), have increased dramatically during the past decades. Time-series data covering 22 years show that this increase coincides with a decline in the number of juvenile perch (Perca fluviatilis), the most abundant predator of stickleback along the coast. We studied the interaction between evolutionary and ecological effects of this mesopredator take-over, by surveying the armour plate morphology of stickleback and the structure of the associated food web. First, we investigated the distribution of different stickleback phenotypes depending on predator abundances and benthic production; and described the stomach content of the stickleback phenotypes using metabarcoding. Second, we explored differences in the relation between different trophic levels and benthic production, between bays where the relative abundance of fish was dominated by stickleback or not; and compared this to previous cage-experiments to support causality of detected correlations. We found two distinct lateral armour plate phenotypes of stickleback, incompletely and completely plated. The proportion of incompletely plated individuals increased with increasing benthic production and decreasing abundances of adult perch. Stomach content analyses showed that the completely plated individuals had a stronger preference for invertebrate herbivores (amphipods) than the incompletely plated ones. In addition, predator dominance interacted with ecosystem production to determine food web structure and the propagation of a trophic cascade: with increasing production, biomass accumulated on the first (macroalgae) and third (stickleback) trophic levels in stickleback-dominated bays, but on the second trophic level (invertebrate herbivores) in perch-dominated bays. Since armour plates are defence structures favoured by natural selection in the presence of fish predators, the phenotype distribution suggest that a novel low-predation regime favours sticklebacks with less armour. Our results indicate that an interaction between evolutionary and ecological effects of the stickleback take-over has the potential to affect food web dynamics.

ecology↗