Metagenomic insights into microbial adaptation to the salinity gradient of a typical short residence-time estuary

Wu, Ziheng1,2; Li, Minchun1,2; Qu, Liping1,2; Zhang, Chuanlun3; Xie, Wei1,2

2024-06-25

10.1186/s40168-024-01817-w

MICROBIOME   影响因子和分区

2049-2618

BackgroundMicrobial adaptation to salinity has been a classic inquiry in the field of microbiology. It has been demonstrated that microorganisms can endure salinity stress via either the "salt-in" strategy, involving inorganic ion uptake, or the "salt-out" strategy, relying on compatible solutes. While these insights are mostly based on laboratory-cultured isolates, exploring the adaptive mechanisms of microorganisms within natural salinity gradient is crucial for gaining a deeper understanding of microbial adaptation in the estuarine ecosystem.ResultsHere, we conducted metagenomic analyses on filtered surface water samples collected from a typical subtropical short residence-time estuary and categorized them by salinity into low-, intermediate-, and high-salinity metagenomes. Our findings highlighted salinity-driven variations in microbial community composition and function, as revealed through taxonomic and Clusters of Orthologous Group (COG) functional annotations. Through metagenomic binning, 127 bacterial and archaeal metagenome-assembled genomes (MAGs) were reconstructed. These MAGs were categorized as stenohaline-specific to low-, intermediate-, or high-salinity-based on the average relative abundance in one salinity category significantly exceeding those in the other two categories by an order of magnitude. Those that did not meet this criterion were classified as euryhaline, indicating a broader range of salinity tolerance. Applying the Boruta algorithm, a machine learning-based feature selection method, we discerned important genomic features from the stenohaline bacterial MAGs. Of the total 12,162 COGs obtained, 40 were identified as important features, with the "inorganic ion transport and metabolism" COG category emerging as the most prominent. Furthermore, eight COGs were implicated in microbial osmoregulation, of which four were related to the "salt-in" strategy, three to the "salt-out" strategy, and one to the regulation of water channel activity. COG0168, annotated as the Trk-type K+ transporter related to the "salt-in" strategy, was ranked as the most important feature. The relative abundance of COG0168 was observed to increase with rising salinity across metagenomes, the stenohaline strains, and the dominant Actinobacteriota and Proteobacteria phyla.ConclusionsWe demonstrated that salinity exerts influences on both the taxonomic and functional profiles of the microbial communities inhabiting the estuarine ecosystem. Our findings shed light on diverse salinity adaptation strategies employed by the estuarine microbial communities, highlighting the crucial role of the "salt-in" strategy mediated by Trk-type K+ transporters for microorganisms thriving under osmotic stress in the short residence-time estuary.22YT9hkSS5Zn-gk-qyndrEVideo AbstractConclusionsWe demonstrated that salinity exerts influences on both the taxonomic and functional profiles of the microbial communities inhabiting the estuarine ecosystem. Our findings shed light on diverse salinity adaptation strategies employed by the estuarine microbial communities, highlighting the crucial role of the "salt-in" strategy mediated by Trk-type K+ transporters for microorganisms thriving under osmotic stress in the short residence-time estuary.22YT9hkSS5Zn-gk-qyndrEVideo Abstract

Salinity adaptability Salt-in strategy Metagenomics Pearl river estuary

SCI

英语

其他

Microbiology

Microbiology

WOS:001268529300001

BMC

Web of Science

1.Sun Yat Sen Univ, Sch Marine Sci, Zhuhai 519082, Peoples R China
2.Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519082, Peoples R China
3.Southern Univ Sci & Technol, Shenzhen Key Lab Marine Archaea Geo, Dept Ocean Sci & Engn, Shenzhen 518055, Peoples R China

Wu, Ziheng,Li, Minchun,Qu, Liping,et al. Metagenomic insights into microbial adaptation to the salinity gradient of a typical short residence-time estuary[J]. MICROBIOME,2024,12(1).

Wu, Ziheng,Li, Minchun,Qu, Liping,Zhang, Chuanlun,&Xie, Wei.(2024).Metagenomic insights into microbial adaptation to the salinity gradient of a typical short residence-time estuary.MICROBIOME,12(1).

Wu, Ziheng,et al."Metagenomic insights into microbial adaptation to the salinity gradient of a typical short residence-time estuary".MICROBIOME 12.1(2024).