Resistance and resilience of fish gut microbiota to silver nanoparticles

Understanding mechanisms governing the resistance and resilience of microbial communities is essential for predicting their ecological responses to environmental disturbances. Although we have a good understanding of such issues for soil and lake ecosystems, how ecological resistance and resilience...

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Main Authors: Chen, P. (Author), Chen, X. (Author), He, Z. (Author), Hu, R. (Author), Huang, J. (Author), Rao, L. (Author), Wu, Y. (Author), Xiao, F. (Author), Xu, K. (Author), Yan, Q. (Author), Yu, H. (Author), Yu, Y. (Author), Zheng, X. (Author), Zhu, W. (Author)
Format: Article
Language:English
Published: American Society for Microbiology 2021
Subjects:
Online Access:View Fulltext in Publisher
LEADER 03521nam a2200721Ia 4500
001 10.1128-mSystems.00630-21
008 220427s2021 CNT 000 0 und d
020 |a 23795077 (ISSN) 
245 1 0 |a Resistance and resilience of fish gut microbiota to silver nanoparticles 
260 0 |b American Society for Microbiology  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1128/mSystems.00630-21 
520 3 |a Understanding mechanisms governing the resistance and resilience of microbial communities is essential for predicting their ecological responses to environmental disturbances. Although we have a good understanding of such issues for soil and lake ecosystems, how ecological resistance and resilience regulate the microbiota in the fish gut ecosystem remains unclear. Using the zebrafish model, we clarified the potential mechanisms governing the gut microbiota after exposure to silver nanoparticles (AgNPs). Here, we explored the ecological resistance and resilience of gut microbiota in zebrafish exposed to different concentrations of AgNPs (i.e., 10, 33 and 100 mg/liter) for 15, 45, 75 days. The high-throughput sequencing analysis of the 16S rRNA gene showed that AgNP exposure significantly reduced the a-diversity of gut microbiota and resulted in obvious dynamics of community composition and structure. However, the rebound of zebrafish gut microbiota was pushed toward an alternative state after 15 days of AgNP exposure. We found that homogeneous selection was a more prevalent contributor in driving gut community recovery after AgNP exposure. The resilience and resistance of gut microbiota responses to AgNP disturbance might be mainly determined by the predominant keystone taxa such as Acinetobacter and Gemmata. This study not only expanded our understanding of fish gut microbiota's responses to pollutants but also provided new insights into maintaining host-microbiome stability during environmental perturbations. © 2021 Chen et al. 
650 0 4 |a Acinetobacter 
650 0 4 |a adult 
650 0 4 |a Akkermansia 
650 0 4 |a animal experiment 
650 0 4 |a Article 
650 0 4 |a bacterial RNA 
650 0 4 |a Citrobacter 
650 0 4 |a community structure 
650 0 4 |a concentration (parameter) 
650 0 4 |a controlled study 
650 0 4 |a ecosystem resilience 
650 0 4 |a environmental exposure 
650 0 4 |a female 
650 0 4 |a Firmicutes 
650 0 4 |a Fusobacteria 
650 0 4 |a Gemmata 
650 0 4 |a Gut microbiota 
650 0 4 |a hierarchical clustering 
650 0 4 |a high throughput sequencing 
650 0 4 |a intestine flora 
650 0 4 |a male 
650 0 4 |a microbial community 
650 0 4 |a microbial diversity 
650 0 4 |a nonhuman 
650 0 4 |a physical resistance 
650 0 4 |a pollutant 
650 0 4 |a Proteobacteria 
650 0 4 |a rebound 
650 0 4 |a Resilience 
650 0 4 |a Resistance 
650 0 4 |a RNA 16S 
650 0 4 |a silver nanoparticle 
650 0 4 |a Silver nanoparticles 
650 0 4 |a Thermus 
650 0 4 |a zebra fish 
650 0 4 |a Zebrafish 
700 1 |a Chen, P.  |e author 
700 1 |a Chen, X.  |e author 
700 1 |a He, Z.  |e author 
700 1 |a Hu, R.  |e author 
700 1 |a Huang, J.  |e author 
700 1 |a Rao, L.  |e author 
700 1 |a Wu, Y.  |e author 
700 1 |a Xiao, F.  |e author 
700 1 |a Xu, K.  |e author 
700 1 |a Yan, Q.  |e author 
700 1 |a Yu, H.  |e author 
700 1 |a Yu, Y.  |e author 
700 1 |a Zheng, X.  |e author 
700 1 |a Zhu, W.  |e author 
773 |t mSystems