Search

• Single 50 µg L−1 SMX or TMP improved the denitrification rate in CC-SPD, while mixed ones had no significant inhibitory effect on denitrification. • Dominant denitrifiers and fermentation bacteria verified the denitrification performance in CC-SPD with different antibiotics. • Single SMX or TMP achieved relatively higher denitrification gene and enzyme abundance. • SMX and TMP were mainly removed by biodegradation. • Niveibacterium and Bradyrhizobium were the ARGs potential hosts and promoted the horizontal transmission of ARGs. Solid-phase denitrification (SPD) has been used in wastewater treatment plant effluent to enhance nitrate removal, and antibiotics co-existing in the effluent is a common environmental problem. In this study, it was systematically investigated the effect of single trace sulfamethoxazole (SMX)/trimethoprim (TMP) and their mixture on microbial denitrification performance, the antibiotics removal, and antibiotics resistance genes (ARGs) in corncob supported SPD system. The average denitrification rate was improved by 46.90% or 61.09% with single 50 µg/L SMX or TMP, while there was no significant inhibition with mixed SMX and TMP. The abundance of dominant denitrifiers (Comamonadaceae family and Azospia) and fermentation bacteria (Ancalomicrobium) were consistent with the denitrification performance of different antibiotics groups. Single SMX and TMP achieved relatively higher denitrification gene and enzyme abundance. Mixed SMX and TMP improved the denitrification gene copies, but they reduced the key denitrification enzymes except for EC 1.7.7.2. Additionally, the removal efficiency of TMP (56.70% ± 3.18%) was higher than that of SMX (25.44% ± 2.62%) in single antibiotic group, and the existence of other antibiotics (i.e. SMX or TMP) had no significant impact on the TMP or SMX removal performance. Biodegradation was the main removal mechanism of SMX and TMP, while sludge and corncob adsorption contributed a little to their removal. SMX had the risk of sulfanilamide resistance genes (SRGs) dissemination. Furthermore, network analysis indicated that Niveibacterium and Bradyrhizobium were the potential hosts of SRGs, which promoted the horizontal transmission of ARGs. [Display omitted] [ABSTRACT FROM AUTHOR]

• Novel carbon source and corncob had better denitrification efficiency than polycaprolactone and polyvinyl alcohol-sodium alginate. • The taxonomical composition of bacterial, fungal and archaeal communities can be altered by types of solid carbon source. • Some fungi and archaea species were conducive to solid-phase denitrification (SPD) systems. • Co-occurring network showed some potential collaboration between bacterial fungal and archaeal communities in SPD systems. • Amplicon sequence variant (ASV) can identify more taxonomies that operational taxonomic unit (OTU) cannot in this study. There is a lack of understanding about the bacterial, fungal and archaeal communities' composition of solid-phase denitrification (SPD) systems. We investigated four SPD systems with different carbon sources by analyzing microbial gene sequences based on operational taxonomic unit (OTU) and amplicon sequence variant (ASV). The results showed that the corncob-polyvinyl alcohol sodium alginate-polycaprolactone (CPSP, 0.86±0.04 mg NO 3 −-N/(g·day)) and corncob (0.85±0.06 mg NO 3 −-N/(g·day)) had better denitrification efficiency than polycaprolactone (PCL, 0.29±0.11 mg NO 3 −-N/(g·day)) and polyvinyl alcohol-sodium alginate (PVA-SA, 0.24±0.07 mg NO 3 −-N/(g·day)). The bacterial, fungal and archaeal microbial composition was significantly different among carbon source types such as Proteobacteria in PCL (OTU: 83.72%, ASV: 82.49%) and Rozellomycota in PVA-SA (OTU: 71.99%, ASV: 81.30%). ASV methods can read more microbial units than that of OTU and exhibit higher alpha diversity and classify some species that had not been identified by OTU such as Nanoarchaeota phylum, unclassified_ f_ Xanthobacteraceae genus, etc., indicating ASV may be more conducive to understand SPD microbial communities. The co-occurring network showed some correlation between the bacteria fungi and archaea species, indicating different species may collaborate in SPD systems. Similar KEGG function prediction results were obtained in two bioinformatic methods generally and some fungi and archaea functions should not be ignored in SPD systems. These results may be beneficial for understanding microbial communities in SPD systems. [Display omitted] [ABSTRACT FROM AUTHOR]