Characterization of bacterial community structure in sediments of natural and artificially restored mangrove communities of Tieshangang Bay
WANG Zixiang
ZHEN Yu
ZHENG Pengfei
ZHU Fangchao
YIN Qunjian
MI Tiezhu
XING Yongze
Abstract:Using 16S rRNA gene high-throughput sequencing method,the bacterial community struc-ture in the sediments of natural and artificially restored mangrove communities(0-5 cm,5-10 cm,10-15 cm and 15-20 cm)of Tieshangang Bay was profiled.The results showed that the dominant bacteria in mangrove sediments of Tieshangang Bay were Proteobacteria,Chloroflexi and Acidobacteria at phy-lum level and Sul furovum,Desulfatiglans and Desulimonas at genus level.The number of operation-al taxonomic units,Shannon index and Chao 1 index of bacteria in natural mangrove sediments were significantly higher than those in artificially restored mangrove sediments.Principal coordinates analy-sis of bacterial communities based on Bray-Curtis distance showed that there are significant differences between natural and artificial mangrove sediment bacteria.In terms of the vertical distribution of bacte-rial communities,Proteobacteria and Bacteroidetes showed the highest relative abundance in the surface layer and decreased with depth in both natural forests and restored areas.The relative abundance of Planctomycetes,Firmicutes and Calditrichaeota was higher in the middle and lower layers.Tax4Fun functional prediction showed that the relative abundance of functional genes related to signal transduc-tion,lipid metabolism,xenobiotics biodegradation and metabolism in natural mangrove forest was sig-nificantly higher than that in the restored area.The relative abundance of functional genes related to microbial basic metabolisms like amino acid metabolism,lipid metabolism,xenobiotics biodegradation and metabolism significantly decreased with the depth.Our findings revealed significant differences in bacterial diversity,relative abundance and potential functions between the sediments of natural and ar-tificially restored mangroves in Tieshangang Bay,and variations in the vertical distribution of bacterial community structures between the two areas.
Keywords:mangrove16S rRNA genebacterial community structurefunction prediction
Publication Date:2026-02-25
Online Publishing Date:2026-05-22(First online date of this platform, not the publication date of the document)
Pages:13( 129-141 )
