Summary Intestinal microbial communities from 362 anadromous Arctic char (Salvelinus alpinus) from the high Arctic Kitikmeot region, Nunavut, Canada, were characterized using high‐throughput 16S rRNA gene sequencing. The resulting bacterial communities were compared across four seasonal habitats that correspond to different stages of annual migration. Arctic char intestinal communities differed by sampling site, salinity and stages of freshwater residence. Although microbiota from fish sampled in brackish water were broadly consistent with taxa seen in other anadromous salmonids, they were enriched with putative psychrophiles, including the nonluminous gut symbiont Photobacterium iliopiscarium that was detected in >90% of intestinal samples from these waters. Microbiota from freshwater‐associated fish were less consistent with results reported for other salmonids, and highly variable, possibly reflecting winter fasting behaviour of these char. We identified microbiota links to age for those fish sampled during the autumn upriver migration, but little impact of the intestinal content and water microbiota on the intestinal community. The strongest driver of intestinal community composition was seasonal habitat, and this finding combined with identification of psychrophiles suggested that water temperature and migratory behaviour are key to understanding the relationship between Arctic char and their symbionts.

Genetic monitoring using noninvasive samples provides a complement or alternative to traditional population monitoring methods. However, next-generation sequencing approaches to monitoring typically require high quality DNA and the use of noninvasive samples (e.g., scat) is often challenged by poor DNA quality and contamination by nontarget species. One promising solution is a highly multiplexed sequencing approach called genotyping-in-thousands by sequencing (GT-seq), which can enable cost-efficient genomics-based monitoring for populations based on noninvasively collected samples. Here, we develop and validate a GT-seq panel of 324 single nucleotide polymorphisms (SNPs) optimized for genotyping of polar bears based on DNA from noninvasively collected faecal samples. We demonstrate (1) successful GT-seq genotyping of DNA from a range of sample sources, including successful genotyping (>50% loci) of 62.9% of noninvasively collected faecal samples determined to contain polar bear DNA; and (2) that we can reliably differentiate individuals, ascertain sex, assess relatedness, and resolve population structure of Canadian polar bear subpopulations based on a GT-seq panel of 324 SNPs. Our GT-seq data reveal spatial-genetic patterns similar to previous polar bear studies but at lesser cost per sample and through use of noninvasively collected samples, indicating the potential of this approach for population monitoring. This GT-seq panel provides the foundation for a noninvasive toolkit for polar bear monitoring and can contribute to community-based programmes -a framework which may serve as a model for wildlife conservation and management for species worldwide.

Northern populations of Arctic char ( Salvelinus alpinus ) can be anadromous, migrating annually from the ocean to freshwater lakes and rivers in order to escape sub-zero temperatures. Such seasonal behavior demands that these fish and their associated microbiomes adapt to changes in salinity, temperature, and other environmental challenges. We characterized the microbial community composition of anadromous S. alpinus , netted by Inuit fishermen at freshwater and seawater fishing sites in the high Arctic, both under ice and in open water. Bacterial profiles were generated by DNA extraction and high-throughput sequencing of PCR-amplified 16S ribosomal RNA genes. Results showed that microbial communities on the skin and intestine of Arctic char were statistically different when sampled from freshwater or saline water sites. This association was tested using hierarchical Ward's linkage clustering, showing eight distinct clusters in each of the skin and intestinal microbiomes, with the clusters reflecting sampling location between fresh and saline environments, confirming a salinity-linked turnover. This analysis also provided evidence for a core composition of skin and intestinal bacteria, with the phyla Proteobacteria, Firmicutes, and Cyanobacteria presenting as major phyla within the skin-associated microbiomes. The intestine-associated microbiome was characterized by unidentified genera from families Fusobacteriaceae, Comamonadaceae, Pseudomonadaceae, and Vibrionaceae. The salinity-linked turnover was further tested through ordinations that showed samples grouping based on environment for both skin- and intestine-associated microbiomes. This finding implies that core microbiomes between fresh and saline conditions could be used to assist in regulating optimal fish health in aquaculture practices. Furthermore, identified taxa from known psychrophiles and with nitrogen cycling properties suggest that there is additional potential for biotechnological applications for fish farm and waste management practices.

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due to their tracking experience in pursuing Polar Bears (Ursus maritimus), Inuit hunters could provide non-invasive estimates of Polar Bear characteristics from tracks, and Polar Bear monitoring programs could benefit from Inuit input. We determined i) inter-rater reliability of estimates of the sex, age, and size of Polar Bears, and estimates of the age of tracks made by a group of nine Inuit hunters who interpreted 78 tracks; ii) we made preliminary comparisons of sex and size estimates with conventional (scientific) estimates; iii) we catalogued the Polar Bear hunting experience and track interpretation techniques of nine Inuit hunters; and iv) we explored relationships between hunting experience and the ability to interpret tracks. The group of Inuit hunters made reliable and consistent estimates of Polar Bear sex, age, and size, as well as estimates of age of track (after data from one participant was excluded). Although our comparisons are based on small samples, our findings suggest that Inuit hunters may be accurate in estimating the sex of Polar Bears (74.42% agreement with genetic determinations) and the size of Polar Bears from their tracks. our data indicate shared tracking techniques used by hunters may explain high agreement in making specific estimates, while individual hunting experience and particular methods used to interpret tracks may lead to inter-rater reliability and accuracy in interpreting tracks.

Knowledge coevolution is the process through which information is generated by joining knowledge systems in an inclusive and iterative way to facilitate self-determination of communities and promote cultural resilience. A central and practical component of this framework is the fostering of progress towards improved co-management and community led research. Here we illustrate a knowledge coevolution framework in the context of a major five-year genomics and food security fishery research project in Gjoa Haven, Nunavut. We highlight the process, changes in research objectives, logistical requirements, mutual benefits, and challenges associated with Northern collaborative research, and what lessons we have learned from the process. Knowledge coevolution could be linked to more inclusive and effective fishery co-management in Nunavut and possibly elsewhere. Further, the research process appears to have reinforced Indigenous Knowledge and western science without merging these distinct knowledge systems. Here we strive to provide readers with concrete examples of knowledge coevolution and encourage research groups to incorporate and improve these practices in future projects and in adaptive fishery co-management. We further call on funding agencies to place more value, and thus budgetary priority, on activities related to ongoing consultation, engagement, dissemination, and implementation of project outcomes.

The southern white rhinoceros (Ceratotherium simum simum) has suffered severe reductions in population size over the last 150 years as a result of overhunting. We optimized 10 southern white rhinoceros microsatellite loci and tested them on 30 individuals from the largest remaining population of this species. Five of the 10 loci were polymorphic with mean expected heterozygosity of 0.578, mean polymorphic information content of 0.481 and mean number of alleles 2.8. Although these data suggest low genetic variability in C. s. simum, an accurate comparison of variability awaits results of ongoing broad‐scale microsatellite surveys in this family.

Genetic monitoring using non-invasive samples provides a complement or alternative to traditional population monitoring methods. However, Next Generation Sequencing approaches to monitoring typically require high quality DNA and the use of non-invasive samples (e.g. scat) is often challenged by poor DNA quality and contamination by non-target species. One promising solution is a highly multiplexed sequencing approach called Genotyping-in-thousands by sequencing (GT-seq), which can enable cost-efficient genomics-based monitoring for populations based on non-invasively collected samples. Here, we develop and validate a GT-seq panel of 324 single nucleotide polymorphisms (SNPs) optimized for genotyping of polar bears based on DNA from non-invasively collected fecal samples. We demonstrate 1) successful GT-seq genotyping of DNA from a range of sample sources, including successful genotyping of 85.7% of non-invasively collected fecal samples determined to contain polar bear DNA, and 2) that we can reliably differentiate individuals, ascertain sex, assess relatedness, and resolve population structure of Canadian polar bear subpopulations based on a GT-seq panel of 324 SNPs. Our GT-seq data reveal similar spatial-genetic patterns as previous polar bear studies but at lesser cost per sample and using non-invasively collected samples, indicating the potential of this approach for population monitoring. This GT-seq panel provides the foundation for a non-invasive toolkit for polar bear monitoring and contribute to community-based programs – a framework which may serve as a model for wildlife management and contribute to conservation and policy for species worldwide.