Disentangling bacterial diversity and biogeography in snow-covered regions

This study investigated the bacterial diversity of snow-inhabiting microbial communities across multiple geographic locations, including Antarctic and temperate regions. Using high-throughput sequencing of the 16S rRNA gene from Antarctic snow samples and comparisons with publicly available datasets from other cold regions worldwide, we assessed patterns of taxonomic diversity and the influence of geographic and environmental factors on snow bacterial communities. Our results revealed that bacterial communities from Martel Inlet (King George Island) exhibited lower diversity compared to other Antarctic sites, likely influenced by the geographic characteristics. In contrast, snow microbial communities from temperate regions such as Austria, Quebec, and Iceland showed higher diversity, potentially driven by overlapping environmental conditions including temperature range, snow dynamics, and seasonal variability. Network analyses revealed distinct interaction patterns among regions, with more dynamic and competitive microbial networks observed in Maritime Antarctic environments, while continental snow ecosystems exhibited more compartmentalized and stable network structures. Overall, our findings highlight the combined influence of geographic distance and environmental conditions in shaping microbial diversity and ecological interactions in snow ecosystems across different regions of the globe.

Authors

Institutions

Publication Details

Journal
World Journal of Microbiology and Biotechnology
Published
2026-04-28
DOI
https://doi.org/10.1007/s11274-026-04918-w
Primary Topic
Polar Research and Ecology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Disentangling bacterial diversity and biogeography in snow-covered regions

Jéssica Bianca da Silva, Valéria Maia de Oliveira, Luiz Vergilio Dalla Rosa, Paulo Eduardo Aguiar Saraiva Câmara
World Journal of Microbiology and Biotechnology
Polar Research and Ecology
article

Disentangling bacterial diversity and biogeography in snow-covered regions

Jéssica Bianca da Silva, Valéria Maia de Oliveira, Luiz Vergilio Dalla Rosa, Paulo Eduardo Aguiar Saraiva Câmara
article en

Abstract

This study investigated the bacterial diversity of snow-inhabiting microbial communities across multiple geographic locations, including Antarctic and temperate regions. Using high-throughput sequencing of the 16S rRNA gene from Antarctic snow samples and comparisons with publicly available datasets from other cold regions worldwide, we assessed patterns of taxonomic diversity and the influence of geographic and environmental factors on snow bacterial communities. Our results revealed that bacterial communities from Martel Inlet (King George Island) exhibited lower diversity compared to other Antarctic sites, likely influenced by the geographic characteristics. In contrast, snow microbial communities from temperate regions such as Austria, Quebec, and Iceland showed higher diversity, potentially driven by overlapping environmental conditions including temperature range, snow dynamics, and seasonal variability. Network analyses revealed distinct interaction patterns among regions, with more dynamic and competitive microbial networks observed in Maritime Antarctic environments, while continental snow ecosystems exhibited more compartmentalized and stable network structures. Overall, our findings highlight the combined influence of geographic distance and environmental conditions in shaping microbial diversity and ecological interactions in snow ecosystems across different regions of the globe.

World Journal of Microbiology and BiotechnologyVol. 42(5)
Universidade Federal de Minas Gerais (BR), Universidade de Brasília (BR), Universidade Estadual de Campinas (UNICAMP) (BR), Centre for Research and Development in Telecommunications (Brazil) (BR), Hospital de Clínicas da Unicamp (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Universidade Estadual de Campinas
Openalex Percentile: Top 7%
Polar Research and Ecology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.