Bacterial Communities in Zostera marina Seagrass Beds of Northern China

• Published in: Water (Basel) Vol. 16; no. 7; p. 935
• Main Authors: Zhang, Yong, Wang, Qiuzhen, Yao, Yuan, Tan, Faqi, Jiang, Lin, Shi, Weijie, Yang, Wen, Liu, Jiayi
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-04-2024
• Subjects: bacteria; Cellulose acetate; Climate change; community structure; Ecosystems; Environmental conditions; functional prediction; high throughput sequencing; Leaves; Metabolism; Microorganisms; Pathogens; seagrass; Seawater; Sediments; Soil erosion; Ultrasonic imaging; Zostera marina; United States > US; China; Hebei China
• ISSN: 2073-4441; 2073-4441
• DOI: 10.3390/w16070935

Microbial communities associated with seagrass beds play a crucial role in maintaining the balance of seagrass ecosystems. However, the driving mechanisms behind the structure and functional succession of seagrass microbial communities are still unclear despite the close interaction between seagrass and surrounding microorganisms. To enhance our knowledge of the diversity and functional characteristics of microbial communities in seagrass beds, we employed 16S rRNA gene amplicon sequencing to investigate bacterial communities in seagrass leaves, roots, seawater, and sediments in Caofeidian Zostera marina seagrass beds of Hebei Province, Northern China. Our results highlighted that specific types of bacteria were enriched in different sample compartments, indicating the importance of habitat in influencing microbial diversity and community structure in seagrass bed ecosystems. Notably, the microbial community structure of seagrass leaves and roots showed more similarity to that found in seawater and sediments. Among all the samples, the phylum Pseudomonadota exhibited the highest relative abundance, particularly in sediment samples where they accounted for over 95% of the total bacterial population. In addition, the enrichment of Vibrio, an opportunistic pathogen in several plant samples, alerted us to seagrass and its surrounding marine environments. Finally, functional predictions of microbial communities using PICRUSt2 revealed variations in microbial functions, indicating specific metabolic preferences of microbial communities in different natural environments. The present research sheds light on the mechanisms underlying microbial community succession and their ecological function in seagrass beds.