Bacterial community (free-living vs particle-attached) assembly driven by environmental factors and a more stable network in the pre-bloom period than post-bloom. (May 2023)

• Record Type: Journal Article
• Authors: Ren, Junming; Ye, Jinliu; Cui, Xinyu; Zhang, Xiaofeng; Lang, Chengyu; Xie, Wenming; Meng, Han; He, Huan; Zhang, Limin
• Is Part Of: International biodeterioration & biodegradation. Volume 180(2023)
• Publication Date: 2023-05
• Subjects: Free-living -- Particle-attached -- Microbial composition -- Co-occurrence pattern -- Community assembly; Biodegradation -- Periodicals; Bioremediation -- Periodicals; Biodegradation -- Periodicals; Biodégradation -- Périodiques; Biorestauration -- Périodiques; Electronic journals; 620.11223
• DOI: 10.1016/j.ibiod.2023.105592
• Languages: English
• ISSNs: 0964-8305

Abstract

Abstract: Cyanobacterial blooms are common phenomenon in freshwater ecosystems, influencing the composition and function of bacterioplankton communities. However, the drivers on the pattern and mechanism of bacterial community were still little known especially before and after bloom outbreak. Here, high-throughput sequencing of bacterial 16S rRNA gene was used to investigate the dynamics of communities with two lifestyles of free-living (FL, 0.22–3 μm) and particle-attached (PA, >3 μm) in the Lake Taihu, and co-occurrence patterns and assembly mechanism of bacteria were also explored between pre-bloom and post-bloom periods. The results exhibited that the bloom event significantly changed the composition and diversity of plankton community. Primarily, phyla of Proteobacteria, Actinobacteria and Bacteroidetes were dominated in FL bacteria, whereas Proteobacteria, Cyanobacteria and Bacteroidetes were distributed in PA bacteria. Additionally, PA bacteria had higher α-diversity than FL bacteria in two periods. Co-occurrence network analysis revealed that the network was more complex interactions in the pre-bloom than post-bloom. Null-model analysis indicated homogeneous selection was the key assembly process in the pre-bloom, while stochastic processes played predominant role in the post-bloom. Moreover, abiotic factors were significantly correlated with keystone taxa to further reveal the deterministic process in the pre-bloom ( p < 0.05). Overall, these findings indicate the ecological network and assembly mechanisms of bacteria driven by environmental factors (especially ORP, Nitrogen related concentrations, and Chla) in the pre-bloom more than post-bloom in a changing aquatic niche. Highlights: Higher diversity and abundance of bacterial community in PA group than FL group. Co-occurrence patterns showed more complex and stable network in the pre-bloom than post-bloom. Environmental factors drive bacterial community assembly more strongly in the pre-bloom than post-bloom.