Next Article in Journal
Diversity and Elevational Levels of Lichens in Western Tianshan National Nature Reserve in Xinjiang, China
Previous Article in Journal
Remote Sensing-Based Assessment of the Long-Term Expansion of Shrimp Ponds Along the Coastal and Protected Areas of the Gulf of California
Previous Article in Special Issue
Overwintering Cranes, Waders, and Shorebirds versus Ducks and Coots Showed Contrasting Long-Term Population Trends in Caohai Wetland in Guizhou Province, China
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Bacterial Diversity and Composition in the Internal Organs of Taiga Bean Goose, Greater White-Fronted Goose and Willow Ptarmigan as a New Tools in the Arctic Biomonitoring System

Arctic Biomonitoring Laboratory, Northern (Arctic) Federal University, Northern Dvina Embankment 17, 163000 Arkhangelsk, Russia
*
Author to whom correspondence should be addressed.
Diversity 2025, 17(2), 101; https://doi.org/10.3390/d17020101
Submission received: 2 December 2024 / Revised: 12 January 2025 / Accepted: 21 January 2025 / Published: 29 January 2025

Abstract

Birds, fish, and marine mammals consumed by indigenous people are included in Arctic biomonitoring. However, there are still many gaps in the data on the microbiota associated with these animals. In the current study, we used high-throughput 16S rRNA gene sequencing to explore the bacterial diversity and composition in the intestines of willow ptarmigans, greater white-fronted geese, and taiga bean geese, which are widely consumed by indigenous people in the Arctic. For the first time, meta-taxonomic data have been obtained on the lungs of wild resident and migratory birds of the Russian North. The potentially pathogenic bacterial genera Helicobacter and Olsenella were found in the intestinal microbiomes of three bird species and in the lungs of willow ptarmigan. Bacteria of the genus Staphylococcus were individually identified in the intestines of willow ptarmigan, Campylobacter sp. in the intestines of taiga bean goose, and Sutterella sp. in the intestines of greater white-fronted goose as potential pathogens. The primary findings will be used to propose a next-generation sequencing scheme for monitoring both chemical and biological contaminants in the Arctic in line with One Health approach.
Keywords: avian microbiota; 16S rRNA gene; Arctic Russia; geese; ptarmigan; intestine; lung avian microbiota; 16S rRNA gene; Arctic Russia; geese; ptarmigan; intestine; lung

Share and Cite

MDPI and ACS Style

Durnova, E.; Karmanova, E.; Sorokina, T.; Mayorova, K.; Aksenov, A. Bacterial Diversity and Composition in the Internal Organs of Taiga Bean Goose, Greater White-Fronted Goose and Willow Ptarmigan as a New Tools in the Arctic Biomonitoring System. Diversity 2025, 17, 101. https://doi.org/10.3390/d17020101

AMA Style

Durnova E, Karmanova E, Sorokina T, Mayorova K, Aksenov A. Bacterial Diversity and Composition in the Internal Organs of Taiga Bean Goose, Greater White-Fronted Goose and Willow Ptarmigan as a New Tools in the Arctic Biomonitoring System. Diversity. 2025; 17(2):101. https://doi.org/10.3390/d17020101

Chicago/Turabian Style

Durnova, Evdokia, Elena Karmanova, Tatiana Sorokina, Ksenia Mayorova, and Andrey Aksenov. 2025. "Bacterial Diversity and Composition in the Internal Organs of Taiga Bean Goose, Greater White-Fronted Goose and Willow Ptarmigan as a New Tools in the Arctic Biomonitoring System" Diversity 17, no. 2: 101. https://doi.org/10.3390/d17020101

APA Style

Durnova, E., Karmanova, E., Sorokina, T., Mayorova, K., & Aksenov, A. (2025). Bacterial Diversity and Composition in the Internal Organs of Taiga Bean Goose, Greater White-Fronted Goose and Willow Ptarmigan as a New Tools in the Arctic Biomonitoring System. Diversity, 17(2), 101. https://doi.org/10.3390/d17020101

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop