Knowledge on methanogenic microbial communities associated with the degradation of polycyclic aromatic hydrocarbons(PAHs)is crucial to developing strategies for PAHs bioremediation.In this study,the linkage between th...Knowledge on methanogenic microbial communities associated with the degradation of polycyclic aromatic hydrocarbons(PAHs)is crucial to developing strategies for PAHs bioremediation.In this study,the linkage between the type of PAHs and microbial community structure was fully investigated through 16 S rRNA gene sequencing on four PAH-degrading cultures.Putative degradation products were also detected.Our results indicated that naphthalene(Nap)/2-methylnaphthalene(2-Nap),phenanthrene(Phe)and anthracene(Ant)sculpted different microbial communities.Among them,Nap and 2-Nap selected for similar degrading bacteria(i.e.,Alicycliphilus and Thauera)and methanogens(Methanomethylovorans and Methanobacterium).Nap and 2-Nap were probably activated via carboxylation,producing 2-naphthoic acid.In contrast,Phe and Ant shaped different bacterial and archaeal communities,with Arcobacter and Acinetobacter being Phe-degraders and Thiobacillus Ant-degrader.Methanogenic archaea Methanobacterium and Methanomethylovorans predominated Phe-degrading and Ant-degrading culture,respectively.These findings can improve our understanding of natural PAHs attenuation and provide some guidance for PAHs bioremediation in methanogenic environment.展开更多
用量子化学MOPAC-AM1法计算21种多环芳烃(PAHs)的SEDs(steric and electronic descriptors)参数,然后用多元线性回归法建立预测多环芳烃的沸点(BP)和辛醇/水分配系数(logK_(ow))等的QSPR模型,预测BP的模型含3个变量[前线轨道能量差(E_(l...用量子化学MOPAC-AM1法计算21种多环芳烃(PAHs)的SEDs(steric and electronic descriptors)参数,然后用多元线性回归法建立预测多环芳烃的沸点(BP)和辛醇/水分配系数(logK_(ow))等的QSPR模型,预测BP的模型含3个变量[前线轨道能量差(E_(lumo)-E_(homo))、分子总电子能(EE)和分子总连接性(TCon)],预测logK_(ow)的模型含3个变量[偶极矩(D)、分子总能量(TE)和分子总连接性(TCon)]。所建2个模型的相关系数的平方(R^2)分别为0.997 6和0.9861,交叉验证系数(R_(LOO)~2)分别为0.9820和0.9575,说明模型均具有很好的预测能力和较强的稳健性,同时也证明SEDs参数适用于多环芳烃类化合物的QSPR研究。展开更多
基金supported by the National Natural Science Foundation Projects (Nos. 41573065 and 41773082)the Key Project of Natural Science Foundation of China (No. 21337001)the National Water Pollution Control and Treatment Science and Technology Major Project (No. 2017ZX07202002)
文摘Knowledge on methanogenic microbial communities associated with the degradation of polycyclic aromatic hydrocarbons(PAHs)is crucial to developing strategies for PAHs bioremediation.In this study,the linkage between the type of PAHs and microbial community structure was fully investigated through 16 S rRNA gene sequencing on four PAH-degrading cultures.Putative degradation products were also detected.Our results indicated that naphthalene(Nap)/2-methylnaphthalene(2-Nap),phenanthrene(Phe)and anthracene(Ant)sculpted different microbial communities.Among them,Nap and 2-Nap selected for similar degrading bacteria(i.e.,Alicycliphilus and Thauera)and methanogens(Methanomethylovorans and Methanobacterium).Nap and 2-Nap were probably activated via carboxylation,producing 2-naphthoic acid.In contrast,Phe and Ant shaped different bacterial and archaeal communities,with Arcobacter and Acinetobacter being Phe-degraders and Thiobacillus Ant-degrader.Methanogenic archaea Methanobacterium and Methanomethylovorans predominated Phe-degrading and Ant-degrading culture,respectively.These findings can improve our understanding of natural PAHs attenuation and provide some guidance for PAHs bioremediation in methanogenic environment.
基金supported by the National Key Research and Development(R&D)Program of China(2017YFA0605000)the National Natural Science Foundation of China(52039001)。
文摘用量子化学MOPAC-AM1法计算21种多环芳烃(PAHs)的SEDs(steric and electronic descriptors)参数,然后用多元线性回归法建立预测多环芳烃的沸点(BP)和辛醇/水分配系数(logK_(ow))等的QSPR模型,预测BP的模型含3个变量[前线轨道能量差(E_(lumo)-E_(homo))、分子总电子能(EE)和分子总连接性(TCon)],预测logK_(ow)的模型含3个变量[偶极矩(D)、分子总能量(TE)和分子总连接性(TCon)]。所建2个模型的相关系数的平方(R^2)分别为0.997 6和0.9861,交叉验证系数(R_(LOO)~2)分别为0.9820和0.9575,说明模型均具有很好的预测能力和较强的稳健性,同时也证明SEDs参数适用于多环芳烃类化合物的QSPR研究。
