Evidence map›Paper›PMID 41939699›Full record

ArticleFrontiers in microbiology2026

Temporal succession and assembly of marine bacterial communities in Maxwell Bay, Antarctica during summer.

Haiyu Zeng, Zhiwei Gao, Zheng Wang, Kaiyi Li, Bo Xu, Zhen Yan, Yan Gu, Weimeng Du, Haitao Ding, Jianjun Wang

Abstract read
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Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Haiyu Zeng *School of Ecology, Hainan University, Haikou, China.
Zhiwei Gao *Antarctic Great Wall Ecology National Observation and Research Station, Polar Research Institute of China, Ministry of Natural Resources, Shanghai, China.
Zheng WangAntarctic Great Wall Ecology National Observation and Research Station, Polar Research Institute of China, Ministry of Natural Resources, Shanghai, China.
Kaiyi LiAntarctic Great Wall Ecology National Observation and Research Station, Polar Research Institute of China, Ministry of Natural Resources, Shanghai, China.
Bo XuAntarctic Great Wall Ecology National Observation and Research Station, Polar Research Institute of China, Ministry of Natural Resources, Shanghai, China.
Zhen YanAntarctic Great Wall Ecology National Observation and Research Station, Polar Research Institute of China, Ministry of Natural Resources, Shanghai, China.
Yan GuAntarctic Great Wall Ecology National Observation and Research Station, Polar Research Institute of China, Ministry of Natural Resources, Shanghai, China.
Weimeng DuAntarctic Great Wall Ecology National Observation and Research Station, Polar Research Institute of China, Ministry of Natural Resources, Shanghai, China.
Haitao DingAntarctic Great Wall Ecology National Observation and Research Station, Polar Research Institute of China, Ministry of Natural Resources, Shanghai, China.
Jianjun WangState Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In recent years, ecological feedbacks driven by climate change have become increasingly prominent. The polar amplification effect has made Antarctic ecosystems pivotal indicators for reflecting global climatic impacts. As core drivers of biogeochemical cycling, marine microbes play a central role. Therefore, deciphering their temporal dynamics and assembly mechanisms is crucial for projecting the trajectories of polar ecosystems. However, the intrinsic ecological processes regulating microbial summer succession, particularly the relative contribution of deterministic processes, remain insufficiently quantified. Methods: In the present study, Maxwell Bay, Antarctica-a coastal marine region heavily influenced by glacial melt-was selected as the model system. Surface seawater samples were collected sequentially during the 2022 austral summer, followed by 16S rRNA gene amplicon sequencing and phylogenetic null model analysis. Results: Our results revealed a distinct shift in the assembly mechanisms of bacterial communities. In January, community structure was shaped jointly by stochastic and deterministic processes, with stochastic processes contributing a greater proportion to assembly. This state transitioned to the predominance of deterministic homogeneous selection (84.68%) in February. Mantel tests, followed by linear regression analyses, confirmed that this phylogenetic transition was driven by shifting environmental factors. Specifically, water temperature served as the primary influencing factor in January, whereas silicate and nitrate concentrations emerged as the key factors in February. Subsequent partial least squares path modeling (PLS-PM) and redundancy analysis (RDA) further validated these findings, demonstrating that the identified environmental variables collectively explained more than 50% of the observed variation in community structure. Notably, nitrate drawdown was significantly correlated with the increased relative abundances of dominant bacterial genera in February. Discussion: By quantifying the relative roles of deterministic and stochastic processes in microbial community assembly, this study demonstrates that environmental selection is the dominant factor mediating microbial responses to polar warming. These findings provide a mechanistic foundation for the development of predictive models for future marine biogeochemical cycles in polar regions.

Indexed as

Antarctic microbiomecommunity assemblyenvironmental selectionnull modeltemporal succession

Identifiers

PMID41939699
PMCPMC13044028

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