scholarly journals Microbial associations and spatial proximity predict North American moose ( Alces alces ) gastrointestinal community composition

2020 ◽  
Vol 89 (3) ◽  
pp. 817-828 ◽  
Author(s):  
Nicholas M. Fountain‐Jones ◽  
Nicholas J. Clark ◽  
Amy C. Kinsley ◽  
Michelle Carstensen ◽  
James Forester ◽  
...  
2017 ◽  
Vol 144 (2) ◽  
pp. 125-138 ◽  
Author(s):  
Kathryn M. Flinn ◽  
Jennifer L. Mikes ◽  
Hannah A. D. Kuhns

2019 ◽  
Author(s):  
Nicholas M. Fountain-Jones ◽  
Nicholas J. Clark ◽  
Amy C. Kinsley ◽  
Michelle Carstensen ◽  
James Forester ◽  
...  

AbstractMicrobial communities are increasingly recognised as crucial for animal health. However, our understanding of how microbial communities are structured across wildlife populations is poor. Mechanisms such as interspecific associations are important in structuring free-living communities, but we still lack an understanding of how important interspecific associations are in structuring gut microbial communities in comparison to other factors such as host characteristics or spatial proximity of hosts.Here we ask how gut microbial communities are structured in a population of North American moose (Alces alces). We identify key microbial interspecific associations within the moose gut and quantify how important they are relative to key host characteristics, such as body condition, for predicting microbial community composition.We sampled gut microbial communities from 55 moose in a population experiencing decline due to a myriad of factors, including pathogens and malnutrition. We examined microbial community dynamics in this population utilizing novel graphical network models that can explicitly incorporate spatial information.We found that interspecific associations were the most important mechanism structuring gut microbial communities in moose and detected both positive and negative associations. Models only accounting for associations between microbes had higher predictive value compared to models including moose sex, evidence of previous pathogen exposure, or body condition. Adding spatial information on moose location further strengthened our model and allowed us to predict microbe occurrences with ∼90% accuracy.Collectively, our results suggest that microbial interspecific associations coupled with host spatial proximity are vital in shaping infra communities in a large herbivore. In this case, previous pathogen exposure and moose body condition were not as important in predicting gut microbial community composition. The approach applied here can be used to quantify interspecific associations and gain a more nuanced understanding of the spatial and host factors shaping microbial communities in non-model hosts.


2012 ◽  
Vol 12 (1) ◽  
pp. 212 ◽  
Author(s):  
Suzanne L Ishaq ◽  
André-Denis G Wright

1965 ◽  
Vol 2 (4) ◽  
pp. 237-246 ◽  
Author(s):  
W. A. Kenyon ◽  
C. S. Churcher

A crude stone chopper and a worked left antler fragment have been recovered from Lake Agassiz II beds near Morson, Rainy River District, Ontario. The stone chopper resembles other stone implements surface collected in Rainy River District. The antler fragment is identified as probably Alces alces, and has been dated by 14C at 5 898 B.C. ± 423 years. The antler fragment shows two opposed dorsal and ventral grooves and other signs of working by Homo, the toolmarks in the grooves and on the shaped surfaces suggesting the use of a beaver-tooth adze and a hand ax respectively. This is believed to be the oldest dated report of North American Alces coeval with Homo.


1991 ◽  
Vol 69 (9) ◽  
pp. 2300-2305 ◽  
Author(s):  
D. A. Welch ◽  
W. M. Samuel ◽  
C. J. Wilke

We evaluated the suitability of four species of North American Cervidae as hosts for the winter tick (Dermacentor albipictus) by comparing the numbers and weights of engorged female ticks recovered from experimentally infested moose (Alces alces), elk (Cervus elaphus), mule deer (Odocoileus hemionus), and white-tailed deer (Odocoileus virginianus). Each host was exposed to approximately equivalent infestations (~1 larva/cm2). A higher percentage of ticks were recovered as engorged females from moose (8.0%) than from elk (0.23%) or mule deer (0.60%). No engorged female ticks were recovered from white-tailed deer. Female ticks engorged on moose were larger (0.533 ± 0.169 (SD) g) than those engorged on elk (0.414 ± 0.136 g) or mule deer (0.418 ± 0.138 g). Alopecia occurred on all infested animals but was extensive only on moose. Our findings support field data suggesting that moose are the most important and the most severely affected hosts of winter ticks.


2018 ◽  
Author(s):  
David N. Fisher ◽  
Alastair J. Wilson ◽  
Stan Boutin ◽  
Ben Dantzer ◽  
Jeffrey E. Lane ◽  
...  

AbstractOrganisms can affect one another’s phenotypes when they socially interact. Indirect genetic effects occur when an individual’s phenotype is affected by genes expressed in another individual. These heritable effects can enhance or reduce adaptive potential, thereby accelerating or reversing evolutionary change. Quantifying these social effects is therefore crucial for our understanding of evolution, yet estimates of indirect genetic effects in wild animals are limited to dyadic interactions. We estimated indirect phenotypic and genetic effects, and their covariance with direct effects, for the date of spring breeding in North American red squirrels (Tamiasciurus hudsonicus) living in an array of territories of varying spatial proximity. Additionally, we estimated variance parameters and the strength of selection at low and high population densities. Social effects of neighbours on the date of spring breeding were weak at low, but stronger at high population densities. Indirect phenotypic effects accounted for a larger amount of variation in the date of breeding than direct differences among-individuals, although the genetic component to these indirect effects was not statistically significant. Nevertheless, the estimated effect size was large enough to suggest that indirect genetic effects could alter evolutionary change, resulting in less change at high densities despite stronger selection. Despite the difficulty in estimating them precisely, indirect genetic effects have clear potential to alter evolutionary trajectories in any natural systems where organisms interact.


2021 ◽  
Vol 57 (1) ◽  
Author(s):  
Tiffany M. Wolf ◽  
Yvette M. Chenaux-Ibrahim ◽  
Edmund J. Isaac ◽  
Arno Wünschmann ◽  
Seth A. Moore

PLoS ONE ◽  
2015 ◽  
Vol 10 (12) ◽  
pp. e0144804 ◽  
Author(s):  
Suzanne L. Ishaq ◽  
Christina J. Kim ◽  
Doug Reis ◽  
André-Denis G. Wright

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