15 Works

Data from: Repeat variants for the SbMATE transporter protect sorghum roots from aluminum toxicity by transcriptional interplay in cis and trans

Janaina O. Melo, Laura G. C. Martins, Beatriz A. Barros, Maiana R. Pimenta, Ubiraci G. P. Lana, Christiane E. M. Duarte, Maria M. Pastina, C. T. Guimaraes, Robert E. Schaffert, Leon V. Kochian, Elizabeth P. B. Fontes & Jurandir Vieira Magalhaes
Acidic soils, where aluminum (Al) toxicity is a major agricultural constraint, are globally widespread and are prevalent in developing countries. In sorghum, the root citrate transporter SbMATE confers Al tolerance by protecting root apices from toxic Al3+, but can exhibit reduced expression when introgressed into different lines. We show that allele-specific SbMATE transactivation occurs and is caused by factors located away from SbMATE. Using expression-QTL mapping and -GWAS, we establish that SbMATE transcription is controlled...

Data from: Behavioral classification of low frequency acceleration and temperature data from a free ranging small mammal

Emily K. Studd, Manuelle Landry-Cuerrier, Allyson K. Menzies, Stan Boutin, Andrew G. McAdam, Jeffrey E. Lane & Murray M. Humphries
1. The miniaturization and affordability of new technology is driving a biologging revolution in wildlife ecology with use of animal-borne data logging devices. Among many new biologging technologies, accelerometers are emerging as key tools for continuously recording animal behavior. Yet a critical, but under-acknowledged consideration in biologging is the trade-off between sampling rate and sampling duration, created by battery- (or memory-) related sampling constraints. This is especially acute among small animals, causing most researchers to...

Data from: Reproduction as a bottleneck to treeline advance across the circumarctic forest tundra ecotone

Carissa D. Brown, Geneviève Dufour-Tremblay, Ryan G. Jameson, Steven D. Mamet, Andrew J. Trant, Xanthe J. Walker, Stéphane Boudraeu, Karen A. Harper, Greg H.R. Henry, Luise Hermanutz, Annika Hofgaard, Ludmila Isaeva, G. Peter Kershaw, Jill F. Johnstone & Gregory H. R. Henry
The fundamental niche of many species is shifting with climate change, especially in sub-arctic ecosystems with pronounced recent warming. Ongoing warming in sub-arctic regions should lessen environmental constraints on tree growth and reproduction, leading to increased success of trees colonising tundra. Nevertheless, variable responses of treeline ecotones have been documented in association with warming temperatures. One explanation for time lags between increasingly favourable environmental conditions and treeline ecotone movement is reproductive limitations caused by low...

Data from: Is biasing offspring sex ratio adaptive? a test of Fisher’s principle across multiple generations of a wild mammal in a fluctuating environment

Andrea E. Wishart, Cory T. Williams, Andrew G. McAdam, Stan Boutin, Ben Dantzer, Murray M. Humphries, Dave W. Coltman, Jeffrey E. Lane & David W. Coltman
Fisher’s principle explains that population sex ratio in sexually reproducing organisms is maintained at 1:1 due to negative frequency-dependent selection, such that individuals of the rare sex realize greater reproductive opportunity than individuals of the more common sex until equilibrium is reached. If biasing offspring sex ratio towards the rare sex is adaptive, individuals that do so should have a higher number of grandoffspring. In a wild population of North American red squirrels (Tamiasciurus hudsonicus)...

Data from: miR-122, small RNA annealing and sequence mutations alter the predicted structure of the Hepatitis C virus 5′ UTR RNA to stabilize and promote viral RNA accumulation

Yalena Amador-Cañizares, Mamata Panigrahi, Adam Huys, Rasika D. Kunden, Halim M. Adams, Michael J. Schinold & Joyce A. Wilson
Annealing of the liver-specific microRNA, miR-122, to the Hepatitis C virus (HCV) 5′ UTR is required for efficient virus replication. By using siRNAs to pressure escape mutations, 30 replication-competent HCV genomes having nucleotide changes in the conserved 5′ untranslated region (UTR) were identified. In silico analysis predicted that miR-122 annealing induces canonical HCV genomic 5′ UTR RNA folding, and mutant 5′ UTR sequences that promoted miR-122-independent HCV replication favored the formation of the canonical RNA...

Data from: Better the devil you know? how familiarity and kinship affect prey responses to disturbance cues

Kevin R. Bairos-Novak, Adam L. Crane, Douglas P. Chivers, Maud C.O. Ferrari & Maud C O Ferrari
Prey can greatly improve their odds of surviving predator encounters by eavesdropping on conspecific risk cues, but the reliability of these cues depends on both previous accuracy as well as the cue’s relevance. During a predator chase, aquatic prey release chemical disturbance cues that may vary in their reliability depending on the individuals receiving them. Thus, prey may rely differentially on disturbance cues from familiar individuals (due to previous experience) or from kin (due to...

Data from: Density‐dependent and phenological mismatch effects on growth and survival in lesser snow and Ross's goslings

Megan V. Ross, Ray T. Alisauskas, David C. Douglas, Dana K. Kellett & Kiel L. Drake
Strong seasonality of high‐latitude environments imposes temporal constraints on forage availability and quality for keystone herbivores in terrestrial arctic ecosystems, including hyper‐abundant colonial geese. Changes in food quality due to intraspecific competition, or food availability relative to the breeding phenology of birds, may have consequences for growth and survival of young. We used long‐term data (1993‐2014) from the Karrak Lake nesting colony in the Canadian central arctic to study relative roles of density and phenological...

Data from: Validation of an algorithm for identifying MS cases in administrative health claims datasets

William J. Culpepper, Ruth Anne Marrie, Annette Langer-Gould, Mitchell T. Wallin, Jonathan D. Campbell, Lorene M. Nelson, Wendy E. Kaye, Laurie Wagner, Helen Tremlett, Lie H. Chen, Stella Leung, Charity Evans, Shenzhen Yao & Nicholas G. LaRocca
Objective: To develop a valid algorithm for identifying multiple sclerosis (MS) cases in administrative health claims (AHC) datasets. Methods: We used 4 AHC datasets from the Veterans Administration (VA), Kaiser Permanente Southern California (KPSC), Manitoba (Canada), and Saskatchewan (Canada). In the VA, KPSC, and Manitoba, we tested the performance of candidate algorithms based on inpatient, outpatient, and disease-modifying therapy (DMT) claims compared to medical records review using sensitivity, specificity, positive and negative predictive values, and...

Data from: Three-dimensional shape and velocity changes affect responses of a locust visual interneuron to approaching objects

Tarquin P. Stott, Erik G. N. Olson, Rachel H. Parkinson & John R Gray
Adaptive collision avoidance behaviours require accurate detection of complex spatiotemporal properties of an object approaching in an animal's natural, 3-dimensional environment. Within the locust, the lobula giant movement detector (LGMD) and its postsynaptic partner, the descending contralateral movement detector (DCMD) respond robustly to images that emulate an approaching 2-dimensional object and exhibit firing rate modulation correlated with changes in object trajectory. It is not known how this pathway responds to visual expansion of a 3-dimensional...

Data from: The predictability of a lake phytoplankton community, over time-scales of hours to years

Mridul K. Thomas, Simone Fontana, Marta Reyes, Michael Kehoe & Francesco Pomati
Forecasting changes to ecological communities is one of the central challenges in ecology. However, nonlinear dependencies, biotic interactions and data limitations have limited our ability to assess how predictable communities are. We used a machine learning approach and environmental monitoring data (biological, physical and chemical) to assess the predictability of phytoplankton cell density in one lake across an unprecedented range of time scales. Communities were highly predictable over hours to months: model R2 decreased from...

Data from: Partitioning drivers of spatial genetic variation for a continuously-distributed population of boreal caribou: implications for management unit delineation

Pauline Priadka, Micheline Manseau, Tim Trottier, Dave Hervieux, Paul Galpern, Philip D. McLoughlin & Paul J. Wilson
Isolation-by-distance (IBD) is a natural pattern not readily incorporated into theoretical models nor traditional metrics for differentiating populations, although clinal genetic differentiation can be characteristic of many wildlife species. Landscape features can also drive population structure additive to baseline IBD resulting in differentiation through isolation-by-resistance (IBR). We assessed the population genetic structure of boreal caribou across western Canada using non-spatial (STRUCTURE) and spatial (MEMGENE) clustering methods and investigated the relative contribution of IBD and IBR...

Data from: Olfactory cues of habitats facilitate learning about landscapes of fear

Matthew D. Mitchell, Adam L. Crane, Kevin R. Bairos-Novak, Maud C.O. Ferrari, Douglas P. Chivers & Maud C O Ferrari
Across landscapes, prey are exposed to different levels of predation risk within different habitats. However, little is known about how prey learn about risk in different habitat types. Here, we examined if wood frog tadpoles, Lithobates sylvatica, use olfactory cues from two distinct, plant-dominated habitats (cattail and pond weed) to learn about the overall risk within a habitat and the risk posed by a specific predator species within different habitats. In our first experiment, tadpoles...

Data from: The socially mediated recovery of a fearful fish paired with periodically replaced calm models

Adam L. Crane, Kevin R. Bairos-Novak, Laurel H. Sacco, Maud C.O. Ferrari & Maud C. O. Ferrari
Social learning is an important mechanism for acquiring knowledge about environmental risk. However, little work has explored the learning of safety and how such learning outcomes are shaped by the social environment. Here, we exposed minnows, Pimephales promelas, to a high-risk environment to induce behavioral responses associated with fear (e.g., neophobia). We then used the presence of calm conspecific models (low-risk individuals) to weaken these responses. When observers (individuals from the high-risk environment) and models...

Data from: Multivariate species boundaries and conservation of harlequin poison frogs

Andres Posso-Terranova & Jose Andrés
In this paper we present an iterative method for delimiting species under the general lineage concept (GLC) based on the multivariate clustering of morphological, ecological, and genetic data. Our rationale is that distinct multivariate groups correspond to evolutionarily independent metapopulation lineages because they reflect the common signal of different secondary defining properties (environmental and genetic distinctiveness, phenotypic diagnosability, etc.) that imply the existence of barriers preventing or limiting gene exchange. We applied this method to...

Data from: Machine learning to classify animal species in camera trap images: applications in ecology

Micheal A. Tabak, Mohammad Sadegh Norouzzadeh, Michael A. Tabak, David W. Wolfson, Steven J. Sweeney, Paul A. Di Salvo, Ryan S. Miller, Jesse S. Lewis, Jeff Clune, Ryan K. Brook, Elizabeth G. Mandeville, Paul M. Lukacs, Anna K. Moeller, Raoul K. Boughton, Bethany Wight, James C. Beasley & Peter E. Schlichting
Motion‐activated cameras (“camera traps”) are increasingly used in ecological and management studies for remotely observing wildlife and are amongst the most powerful tools for wildlife research. However, studies involving camera traps result in millions of images that need to be analysed, typically by visually observing each image, in order to extract data that can be used in ecological analyses. We trained machine learning models using convolutional neural networks with the ResNet‐18 architecture and 3,367,383 images...

Registration Year

  • 2018
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Resource Types

  • Dataset
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Affiliations

  • University of Saskatchewan
    15
  • University of Alberta
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  • University of Alaska Fairbanks
    2
  • McGill University
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  • University of Guelph
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  • University of Manitoba
    2
  • University of British Columbia
    2
  • University of Montana
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  • Stanford University
    1
  • University of Michigan-Ann Arbor
    1