Seasonally and niche-differentiated diversity of active, dormant and dead microbes in coastal waters and surface sediments

Metabarcoding surveys have rarely discriminated metabolically active, dormant, and dead microbes in environmental samples. This study employed a triple metabarcoding approach targeting environmental 16S and 18S rRNA genes and their transcripts to investigate the diversity of these physiologically distinct assemblages in the water column and surface sediments of a tropical coastal region. We found that dead bacteria, archaea, and microeukaryotes (relic DNA) accounted for ≤5% of the planktonic DNA pools but significantly contributed to ASV richness (53%, 50%, and 32%, respectively), while dominating in sediments (44% of sequence, 80% of richness). In viable assemblages, dormant microbes were rarer but enriched richness, particularly in the water (20%, 62%, and 28%, respectively). Collectively, the proportions of microbes in different physiological states exhibited niche-specific and seasonal patterns, primarily driven by pH and temperature. Significant differences in richness and assemblage composition were observed between water, sediment, and seasons for all physiological fractions. Active microbial communities responded to distinct environmental drivers compared to DNA-characterized assemblages, suggesting that DNA-based methods may misidentify factors driving functional diversity in biogeochemical cycles. Dormant taxa exhibited a broader taxonomic distribution than previously recognized, underscoring the need for further research on microbial ecophysiology, function, and biogeography across temporal and spatial scales.

Authors

Institutions

Publication Details

Journal
Communications Biology
Published
2025-09-30
DOI
https://doi.org/10.1038/s42003-025-08789-z
Primary Topic
Environmental DNA in Biodiversity Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Seasonally and niche-differentiated diversity of active, dormant and dead microbes in coastal waters and surface sediments

Dongsheng Yu, Jun Gong, Yunjun Yu, H. H. Zhang et al.
Communications Biology
Environmental DNA in Biodiversity Studies
article

Seasonally and niche-differentiated diversity of active, dormant and dead microbes in coastal waters and surface sediments

Dongsheng Yu, Jun Gong, Yunjun Yu, H. H. Zhang, Zeyu Hu, Guanzhe Li
article en

Abstract

Metabarcoding surveys have rarely discriminated metabolically active, dormant, and dead microbes in environmental samples. This study employed a triple metabarcoding approach targeting environmental 16S and 18S rRNA genes and their transcripts to investigate the diversity of these physiologically distinct assemblages in the water column and surface sediments of a tropical coastal region. We found that dead bacteria, archaea, and microeukaryotes (relic DNA) accounted for ≤5% of the planktonic DNA pools but significantly contributed to ASV richness (53%, 50%, and 32%, respectively), while dominating in sediments (44% of sequence, 80% of richness). In viable assemblages, dormant microbes were rarer but enriched richness, particularly in the water (20%, 62%, and 28%, respectively). Collectively, the proportions of microbes in different physiological states exhibited niche-specific and seasonal patterns, primarily driven by pH and temperature. Significant differences in richness and assemblage composition were observed between water, sediment, and seasons for all physiological fractions. Active microbial communities responded to distinct environmental drivers compared to DNA-characterized assemblages, suggesting that DNA-based methods may misidentify factors driving functional diversity in biogeochemical cycles. Dormant taxa exhibited a broader taxonomic distribution than previously recognized, underscoring the need for further research on microbial ecophysiology, function, and biogeography across temporal and spatial scales.

Communications BiologyVol. 8(1)
Sun Yat-sen University (CN), Ministry of Ecology and Environment (CN), Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN)
Openalex Percentile: Top 74%
Environmental DNA in Biodiversity Studies
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.