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Following the advent of industrial-scale antibiotic production in the 1940s, 1 antimicrobial resistance (AMR) has been on the rise and now poses a major global health threat in terms of mortality, morbidity, and economic burden. 2 , 3 Because AMR can be exchanged between humans, livestock, and wildlife, wild animals can be used as indicators of human-associated AMR contamination of the environment. 4 However, AMR is a normal function of natural environments and is present in host-associated microbiomes, which makes it challenging to distinguish between anthropogenic and natural sources. 4 , 5 One way to overcome this difficulty is to use historical samples that span the period from before the mass production of antibiotics to today. We used shotgun metagenomic sequencing of dental calculus, the calcified form of the oral microbial biofilm, to determine the abundance and repertoire of AMR genes in the oral microbiome of Swedish brown bears collected over the last 180 years. Our temporal metagenomics approach allowed us to establish a baseline of natural AMR in the pre-antibiotics era and to quantify a significant increase in total AMR load and diversity of AMR genes that is consistent with patterns of national human antibiotic use. We also demonstrated a significant decrease in total AMR load in bears in the last two decades, which coincides with Swedish strategies to mitigate AMR. Our study suggests that public health policies can be effective in limiting human-associated AMR contamination of the environment and wildlife., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.)

Many endangered species have experienced severe population declines within the last centuries [1, 2]. However, despite concerns about negative fitness effects resulting from increased genetic drift and inbreeding, there is a lack of empirical data on genomic changes in conjunction with such declines [3-7]. Here, we use whole genomes recovered from century-old historical museum specimens to quantify the genomic consequences of small population size in the critically endangered Grauer's and endangered mountain gorillas. We find a reduction of genetic diversity and increase in inbreeding and genetic load in the Grauer's gorilla, which experienced severe population declines in recent decades. In contrast, the small but relatively stable mountain gorilla population has experienced little genomic change during the last century. These results suggest that species histories as well as the rate of demographic change may influence how population declines affect genome diversity., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

Dispersal, one of the key life-history features of a species, influences gene flow and, consequently, the genetic structuring of populations. Landscape characteristics such as rivers, mountains, or habitat fragmentation affect dispersal and result in broad-scale genetic structuring of various mammalian species [1-5]. However, less attention has been paid to studying how dispersal is influenced by finer-scale microgeographic variation in a continuous habitat. Here we investigate the genetic structure of a closed population of approximately 300 endangered mountain gorillas living in multiple groups in a small (331 km(2)) forest in southwestern Uganda. In a species in which both sexes routinely disperse, population genetic structure in females was influenced by distance, altitude, and plant community composition, whereas males were not geographically structured. The effect of distance fits the observed tendency of females to transfer to neighboring groups, whereas the effects of altitude and vegetation reflect the changing species composition of locally available food resources. These results suggest that individual dietary preferences are important even in a highly mobile species living amid abundant food, and we propose that preference for natal habitats will influence dispersal decisions in many other vertebrate taxa.