Dynamics and Assembly Mechanisms of Bacterial Communities During Larval Development of Macrobrachium rosenbergii: A High-Frequency Sampling Study Based on 16S rRNA Absolute Quantification Sequencing

This study aimed to elucidate stage-specific dynamics, assembly mechanisms, and functional roles of bacterial communities during <i>Macrobrachium rosenbergii</i> larval development through high-resolution microbiota profiling. A high-frequency sampling strategy (126 samples across 11 zoeal stages and 1 post-larval stage within 21 days) and 16S rRNA absolute quantification sequencing were employed. Bacterial succession, persistent taxa, and ecological processes were analyzed using abundance-occupancy modeling, neutral community modeling, and PICRUSt2-based functional prediction. Absolute bacterial abundance exhibited a triphasic abundance trajectory. Initial accumulation: Linear increase (Dph 1-5, peak Δlog10 = +1.7). Mid-stage expansion: Peak abundance (log10 = 7.5 copies/g, Dph 7-8). Late-stage remodeling: Secondary peak (log10 = 7.1 copies/g, Dph 19). Eighty dominant amplicon sequence variants (ASVs) (dominant taxa: <i>Herminiimonas</i>, <i>Maritalea</i>, and Enterobacteriaceae) comprised > 95% of the total abundance and coexisted via niche partitioning. Community construction was dominated by ecological drift/dispersal limitation (neutral model R<sup>2</sup> = 0.16, <i>p</i> < 0.01). Metabolic pathways (e.g., nutrient metabolism) shifted with dietary transition. "Phylogenetic replacement" underpinned microbiota resilience against environmental perturbations. Optimizing aquaculture environments offers a viable antibiotic-free strategy for microbial management, advancing our understanding of host microbe interactions and ecological niche differentiation in aquatic animals.

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Journal
Microorganisms
Published
2025-08-12
DOI
https://doi.org/10.3390/microorganisms13081881
Primary Topic
Crustacean biology and ecology
Type
article
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article

Dynamics and Assembly Mechanisms of Bacterial Communities During Larval Development of Macrobrachium rosenbergii: A High-Frequency Sampling Study Based on 16S rRNA Absolute Quantification Sequencing

Tiantian Ye, Zhibin Lu, Jilun Meng, Junjun Yan et al.
Microorganisms
Crustacean biology and ecology
article

Dynamics and Assembly Mechanisms of Bacterial Communities During Larval Development of Macrobrachium rosenbergii: A High-Frequency Sampling Study Based on 16S rRNA Absolute Quantification Sequencing

Tiantian Ye, Zhibin Lu, Jilun Meng, Junjun Yan, Li Guo, Zhimin Gu, Cui Liu, Jingwen Hao, Pao Xu, Yutong Zheng
article en

Abstract

This study aimed to elucidate stage-specific dynamics, assembly mechanisms, and functional roles of bacterial communities during <i>Macrobrachium rosenbergii</i> larval development through high-resolution microbiota profiling. A high-frequency sampling strategy (126 samples across 11 zoeal stages and 1 post-larval stage within 21 days) and 16S rRNA absolute quantification sequencing were employed. Bacterial succession, persistent taxa, and ecological processes were analyzed using abundance-occupancy modeling, neutral community modeling, and PICRUSt2-based functional prediction. Absolute bacterial abundance exhibited a triphasic abundance trajectory. Initial accumulation: Linear increase (Dph 1-5, peak Δlog10 = +1.7). Mid-stage expansion: Peak abundance (log10 = 7.5 copies/g, Dph 7-8). Late-stage remodeling: Secondary peak (log10 = 7.1 copies/g, Dph 19). Eighty dominant amplicon sequence variants (ASVs) (dominant taxa: <i>Herminiimonas</i>, <i>Maritalea</i>, and Enterobacteriaceae) comprised > 95% of the total abundance and coexisted via niche partitioning. Community construction was dominated by ecological drift/dispersal limitation (neutral model R<sup>2</sup> = 0.16, <i>p</i> < 0.01). Metabolic pathways (e.g., nutrient metabolism) shifted with dietary transition. "Phylogenetic replacement" underpinned microbiota resilience against environmental perturbations. Optimizing aquaculture environments offers a viable antibiotic-free strategy for microbial management, advancing our understanding of host microbe interactions and ecological niche differentiation in aquatic animals.

MicroorganismsVol. 13(8)
Nanjing Agricultural University (CN)
Openalex Percentile: Top 80%
Crustacean biology and ecology
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