# Underlying mechanisms of spatial distribution of prokaryotic community in surface seawater from Arctic Ocean to the Sea of Japan

**Authors:** Ying Pan, Ye Tao, Xian Yang, Siyi Du, Hongguang Ding, Jiaxin Li, Hanwen Jia, Huaihai Chen

PMC · DOI: 10.1128/spectrum.00517-25 · Microbiology Spectrum · 2025-05-30

## TL;DR

This study explores how temperature and other factors shape prokaryotic communities in oceans from the Arctic to the Sea of Japan, revealing how microbes adapt to different environments.

## Contribution

The study identifies temperature as a key driver of microbial community assembly and diversity across latitudinal gradients.

## Key findings

- Microbial alpha diversity declines with increasing latitude, but Arctic stations show higher diversity than the Bering Sea.
- Temperature and salinity are key factors shaping community composition, with temperature positively correlated to Sphingomonas abundance.
- Stochastic processes dominate microbial assembly at broad scales, while deterministic selection shapes Arctic communities.

## Abstract

Microorganisms play critical roles in marine ecosystems, so understanding the factors shaping microbial communities across various oceanic regions is essential for predicting ecosystem resilience and biogeochemical cycles. This study investigated the marine prokaryotic communities across 22 stations spanning the Arctic Ocean, the Chukchi Sea, the Bering Sea, and the Sea of Japan, with an emphasis on how environmental factors shape these communities. Results showed that the microbial alpha diversity generally declines with increasing latitude, though Arctic Ocean stations exhibited higher Chao 1 indices compared to the Bering Sea. Beta diversity analyses revealed that temperature and salinity were key factors associated with community composition variation across latitudes. Proteobacteria and Cyanobacteria were the dominant phyla showing opposite distribution trends across sampling stations. Cold-adapted oligotrophs such as Planktomarina and the SAR11 clade thrived in Arctic waters, while Sphingomonas, known for pollutant degradation, was more abundant in the Sea of Japan. Temperature was positively correlated to the relative abundance of Sphingomonas. At broad spatial scales, stochastic processes dominated community assembly of microbial phylogenetic diversity, while in specific regions like the Arctic Ocean, deterministic homogeneous selection appeared to shape microbial communities; and temperature showed a pronounced influence on phylogenetic turnover across all samples. Co-occurrence networks identified several key taxa, such as Polaribacter_1, Candidatus_Aquiluna, and NS5_marine_group. Overall, the study underscores temperature’s role in shaping microbial community diversity, composition, and assembly processes across latitudinal gradients, highlighting unique community adaptations to extreme environments.

Microbes are the invisible engines of ocean health, recycling nutrients and sustaining marine life. This research helps us understand how climate factors like temperature shape these microscopic communities, which differ starkly between icy Arctic waters and warmer seas. As oceans warm due to climate change, microbial populations and their critical roles in cleaning pollutants or supporting food webs could shift dramatically. The study suggests Arctic microbes are uniquely adapted to cold, low-nutrient conditions, making them vulnerable to warming. By linking temperature to microbial diversity, this work provides clues to predict how marine ecosystems might respond to climate shifts, informing efforts to protect ocean biodiversity and processes vital to Earth’s carbon and nutrient cycles.

## Full-text entities

- **Chemicals:** carbon (MESH:D002244)
- **Species:** Planktomarina (genus) [taxon 1284657], Sphingomonas (genus) [taxon 13687]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12211067/full.md

## References

60 references — full list in the complete paper: https://tomesphere.com/paper/PMC12211067/full.md

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Source: https://tomesphere.com/paper/PMC12211067