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Complete genome sequences of the antibiotic sulfamethoxazole-mineralizing bacteria Paenarthrobacter sp. P27 and Norcardiodes sp. N27

基因组 细菌 生物 代谢物 分解代谢 微生物学 拉伤 磺胺 生物修复 化学 周质间隙 生物化学 遗传学 基因 立体化学 大肠杆菌 解剖
作者
Mengyuan Qi,Xiaodan Ma,Bin Liang,Liying Zhang,Deyong Kong,Zhiling Li,Aijie Wang
出处
期刊:Environmental Research [Elsevier]
卷期号:204 (Pt B): 112013-112013 被引量:27
标识
DOI:10.1016/j.envres.2021.112013
摘要

Sulfonamide antibiotics (SAs) have been produced and consumed on a large scale over the last few decades. SAs are a typical class of refractory contaminants that are omnipresent in various environments. Although several [phenyl]-SA-degrading bacteria and their corresponding genomes have been documented, limited genetic information is available for the degraders of heterocyclic products (e.g., 3-amino-5-methylisoxazole [3A5MI] produced via sulfamethoxazole [SMX] catabolism). In this study, the previously isolated SMX-mineralizing bacterial partners, Paenarthrobacter sp. P27 (responsible for the initial cleavage of the -C-S-N- bond of SMX and further degradation of [phenyl]-SMX) and Norcardiodes sp. N27 (responsible for 3A5MI catabolism), were further studied and their complete genomes were sequenced. Complete degradation and bacterial growth were verified by pure-culture experiments with SMX or 3A5MI as the sole carbon, nitrogen, and energy source. By cross-feeding strains P27 and N27, complete catabolism of SMX could be achieved over a wide range of initial SMX concentrations. Moreover, strain P27 was capable of transforming the additional nine SA representatives into their corresponding nitrogen-containing heterocyclic products, strongly indicating the broad substrate spectrum and marked bioremediation potential of strain P27. The genome of strain P27 contained the highly homologous monooxygenase gene cluster, sadABC, which initially attacked the sulfonamide molecules. The complete genome sequences of the two important degraders will benefit future research centering on the molecular mechanism underlying advanced SMX mineralization and will aid in further understanding the interspecific interactions and metabolite exchanges for the optimization of artificially constructed synthetic functional microbiomes.
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