03681naa a2200457 a 450000100080000000500110000800800410001902400340006010000170009424501550011126000090026650000850027552023260036065000120268665000210269865000190271965300260273865300110276465300160277565300170279165300170280865300170282565300150284265300150285765300320287265300140290470000190291870000160293770000150295370000150296870000170298370000190300070000130301970000180303270000160305070000180306670000180308470000160310270000180311877300870313610601372021-03-16       2019    bl uuuu     u00u1 u    #d7 a10.3389/fmicb.2019.019802DOI1 aROVIRA, P.J.  aCharacterization of the microbial resistome in conventional and "raised without antibiotics" beef and dairy production systems.h[electronic resource]  c2019  aReceived 18 March 2019 // Accepted 12 August 2019 // Published 4 September 2019.  aMetagenomic investigations have the potential to provide unprecedented insights into microbial ecologies, such as those relating to antimicrobial resistance (AMR). We characterized the microbial resistome in livestock operations raising cattle conventionally (CONV) or without antibiotic exposures (RWA) using shotgun metagenomics. Samples of feces, wastewater from catchment basins, and soil where wastewater was applied were collected from CONV and RWA feedlot and dairy farms. After DNA extraction and sequencing, shotgun metagenomic reads were aligned to reference databases for identification of bacteria (Kraken) and antibiotic resistance genes (ARGs) accessions (MEGARes). Differences in microbial resistomes were found across farms with different production practices (CONV vs. RWA), types of cattle (beef vs. dairy), and types of sample (feces vs. wastewater vs. soil). Feces had the greatest number of ARGs per sample (mean = 118 and 79 in CONV and RWA, respectively), with tetracycline efflux pumps, macrolide phosphotransferases, and aminoglycoside nucleotidyltransferases mechanisms of resistance more abundant in CONV than in RWA feces. Tetracycline and macrolide-lincosamide-streptogramin classes of resistance were more abundant in feedlot cattle than in dairy cow feces, whereas the b-lactam class was more abundant in dairy cow feces. Lack of congruence between ARGs and microbial communities (procrustes analysis) suggested that other factors (e.g., location of farms, cattle source, management practices, diet, horizontal ARGs transfer, and co-selection of resistance), in addition to antimicrobial use, could have impacted resistome profiles. For that reason, we could not establish a cause-effect relationship between antimicrobial use and AMR, although ARGs in feces and effluents were associated with drug classes used to treat animals according to farms' records (tetracyclines and macrolides in feedlots, b-lactams in dairies), whereas ARGs in soil were dominated by multidrug resistance. Characterization of the "resistance potential" of animal-derived and environmental samples is the first step toward incorporating metagenomic approaches into AMR surveillance in agricultural systems. Further research is needed to assess the publichealth risk associated with different microbial resistomes.  aBOVINOS  aBOVINOS DE CARNE  aGANADO LECHERO  aANTIBIOTIC RESISTANCE  aCATTLE  aCATTLE BEEF  aDAIRY CATTLE  aMETAGENOMICA  aMETAGENOMICS  aMICROBIOMA  aMICROBIOME  aRESISTENCIA A ANTIBIÓTICOS  aRESISTOME1 aMCALLISTER, T.1 aLAKIN, S.M.1 aCOOK, S.R.1 aDOSTER, E.1 aNOYES, N. R.1 aWEINROTH, M.D.1 aYANG, X.1 aPARKER, J. K.1 aBOUCHER, C.1 aBOOKER, C. W.1 aWOENER, D. R.1 aBELK, K. E.1 aMORLEY, P. S.  tFrontier in Microbiology, September 2019.gv. 10, article 1980, 11 p. OPEN ACCESS.