Department Surface Waters - Research and Management

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   0 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=23259, pid=124)
      originalId => protected23259 (integer)
      authors => protected'Yuan, L.; Wang, Y.; Zhang, L.; Palomo, A.; Zhou, J.
         ; Smets, B. F.; Bürgmann, H.; Ju, F.' (133 chars)
      title => protected'Pathogenic and indigenous denitrifying bacteria are transcriptionally active
          and key multi-antibiotic-resistant players in wastewater treatment plants' (150 chars)
      journal => protected'Environmental Science and Technology' (36 chars)
      year => protected2021 (integer)
      volume => protected55 (integer)
      issue => protected'15' (2 chars)
      startpage => protected'10862' (5 chars)
      otherpage => protected'10874' (5 chars)
      categories => protected'antibiotic resistance; wastewater treatment plant; denitrifying and pathogen
         ic bacteria; genome-centric metatranscriptomics; metagenome-assembled genome' (152 chars)
      description => protected'The global rise and spread of antibiotic resistance greatly challenge the tr
         eatment of bacterial infections. Wastewater treatment plants (WWTPs) harbor 
         and discharge antibiotic resistance genes (ARGs) as environmental contaminan
         ts. However, the knowledge gap on the host identity, activity, and functiona
         lity of ARGs limits transmission and health risk assessment of the WWTP resi
         stome. Hereby, a genome-centric quantitative metatranscriptomic approach was
          exploited to realize high-resolution qualitative and quantitative analyses 
         of bacterial hosts of ARGs (i.e., multiresistance, pathogenicity, activity, 
         and niches) in the 12 urban WWTPs. We found that ∼45% of 248 recovered gen
         omes expressed ARGs against multiple classes of antibiotics, among which bac
         itracin and aminoglycoside resistance genes in Proteobacteria were the most 
         prevalent scenario. Both potential pathogens and indigenous denitrifying bac
         teria were transcriptionally active hosts of ARGs. The almost unchanged rela
         tive expression levels of ARGs in the most resistant populations (66.9%) and
          the surviving ARG hosts including globally emerging pathogens (e.g., <em>Al
         iarcobacter cryaerophilus</em>) in treated WWTP effluent prioritize future e
         xamination on the health risks related to resistance propagation and human e
         xposure in the receiving environment.' (1329 chars)
      serialnumber => protected'0013-936X' (9 chars)
      doi => protected'10.1021/acs.est.1c02483' (23 chars)
      uid => protected23259 (integer)
      _localizedUid => protected23259 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected23259 (integer)modified
      pid => protected124 (integer)
   1 => Snowflake\Publications\Domain\Model\Publicationprototypepersistent entity (uid=17645, pid=124)
      originalId => protected17645 (integer)
      authors => protected'Ju,&nbsp;F.; Beck,&nbsp;K.; Yin,&nbsp;X.; Maccagnan,&nbsp;A.; McArdell,&nbsp
         ;C.&nbsp;S.; Singer,&nbsp;H.&nbsp;P.; Johnson,&nbsp;D.&nbsp;R.; Zhang,&nbsp;
         T.; Bürgmann,&nbsp;H.' (174 chars)
      title => protected'Wastewater treatment plant resistomes are shaped by bacterial composition, g
         enetic exchange, and upregulated expression in the effluent microbiomes' (147 chars)
      journal => protected'ISME Journal' (12 chars)
      year => protected2019 (integer)
      volume => protected13 (integer)
      issue => protected'2' (1 chars)
      startpage => protected'346' (3 chars)
      otherpage => protected'360' (3 chars)
      categories => protected'' (0 chars)
      description => protected'Wastewater treatment plants (WWTPs) are implicated as hotspots for the disse
         mination of antibacterial resistance into the environment. However, the in s
         itu processes governing removal, persistence, and evolution of resistance ge
         nes during wastewater treatment remain poorly understood. Here, we used quan
         titative metagenomic and metatranscriptomic approaches to achieve a broad-sp
         ectrum view of the flow and expression of genes related to antibacterial res
         istance to over 20 classes of antibiotics, 65 biocides, and 22 metals. All c
         ompartments of 12 WWTPs share persistent resistance genes with detectable tr
         anscriptional activities that were comparatively higher in the secondary eff
         luent, where mobility genes also show higher relative abundance and expressi
         on ratios. The richness and abundance of resistance genes vary greatly acros
         s metagenomes from different treatment compartments, and their relative and 
         absolute abundances correlate with bacterial community composition and bioma
         ss concentration. No strong drivers of resistome composition could be identi
         fied among the chemical stressors analyzed, although the sub-inhibitory conc
         entration (hundreds of ng/L) of macrolide antibiotics in wastewater correlat
         es with macrolide and vancomycin resistance genes. Contig-based analysis sho
         ws considerable co-localization between resistance and mobility genes and im
         plies a history of substantial horizontal resistance transfer involving huma
         n bacterial pathogens. Based on these findings, we propose future inclusion 
         of mobility incidence (M%) and host pathogenicity of antibiotic resistance g
         enes in their quantitative health risk ranking models with an ultimate goal 
         to assess the biological significance of wastewater resistomes with regard t
         o disease control in humans or domestic livestock.' (1798 chars)
      serialnumber => protected'1751-7362' (9 chars)
      doi => protected'10.1038/s41396-018-0277-8' (25 chars)
      uid => protected17645 (integer)
      _localizedUid => protected17645 (integer)modified
      _languageUid => protectedNULL
      _versionedUid => protected17645 (integer)modified
      pid => protected124 (integer)