2019
DOI: 10.1038/s41564-019-0617-0
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Author Correction: Global diversity and biogeography of bacterial communities in wastewater treatment plants

Abstract: In the version of this Article originally published, the name of the author 'Mathew Robert Brown' was incorrectly written as 'Mathew Brown' in the main author list and as 'Matthew Brown' in the Global Water Microbiome Consortium list. In addition, in the Global Water Microbiome Consortium list, the names of the authors 'Kevin F. Boehnke' , 'Janeth Sanabria' and ' Adalberto Noyola' were incorrectly written as 'Kevin Boehnke' , 'Janeth Sanabria Gómez' and ' Adalberto Noyola Robles' , respectively. The names have… Show more

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Cited by 19 publications
(16 citation statements)
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“…b OTUs’ rrn copy number of the abundant, intermediate, and rare biospheres. The OTUs were classified based on their relative abundance and occurrence frequency: (i) abundant biosphere, OTUs with relative abundance ≥0.1% 53 in >50% 26 samples, and occurred in more than 80% 26 , 54 samples; (ii) rare biosphere, OTUs with relative abundance <0.1% in all samples; (iii) intermediate biosphere, OTUs other than those belonging to the rare biosphere or abundant biosphere. The bars indicate mean values and the error bars indicate standard errors.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…b OTUs’ rrn copy number of the abundant, intermediate, and rare biospheres. The OTUs were classified based on their relative abundance and occurrence frequency: (i) abundant biosphere, OTUs with relative abundance ≥0.1% 53 in >50% 26 samples, and occurred in more than 80% 26 , 54 samples; (ii) rare biosphere, OTUs with relative abundance <0.1% in all samples; (iii) intermediate biosphere, OTUs other than those belonging to the rare biosphere or abundant biosphere. The bars indicate mean values and the error bars indicate standard errors.…”
Section: Resultsmentioning
confidence: 99%
“…The ribosomal RNA gene operon ( rrn ) copy number in bacterial genomes is a phylogenetically conserved trait at the genus and species levels 22 , which can predict the growth rate and nutrient utilization efficiency for individual organisms well 10 , 11 , 23 . Accordingly, we examined whether the average rrn copy number of community members was positively correlated with environmental nutrient contents, which was verified in natural 24 and engineered systems 25 , 26 . We also mathematically modeled a microbial community as a network to explore potential ecological interactions with nutrient availability.…”
Section: Introductionmentioning
confidence: 97%
“…Although several previous studies had investigated ARG pollution in natural sediments, mainly focusing on rivers, 63 fish farms, 64 estuaries, 19 coastal, 65 and deep sea, 20 to the best of our knowledge, there has been no related study to profile the probable ARG pollution in hadal sediments and diverse patterns with different depths; however, a recent study identified the MT as a major depository for plastic pollution 66 indicating its potential to receive pollutants. Thus, our novel insights of a sudden high ARG abundance and diversity motivated us to suspect whether With this concern and hypothesis, the Bayesian-modeling classification SourceTracker, 50 which had been frequently used for tracing the source of bacterial communities 67 and genes, 68 was employed to predict potential sources of ARGs in the MT sediments, and we observed a significant ARG origin from human feces in the surface layer of the MT sediments at 2−3 cm (63.6%) and 0−2 cm (46.1%), but zero below 4 cm. Although the prediction results were highly data-and modeldependent, we collected 584 metagenomic data sets for source modeling covering as many ecotypes and continents as possible, and we could get some clues on their probable contributors from the prediction results.…”
Section: Resultsmentioning
confidence: 99%
“…With this concern and hypothesis, the Bayesian-modeling classification SourceTracker, which had been frequently used for tracing the source of bacterial communities and genes, was employed to predict potential sources of ARGs in the MT sediments, and we observed a significant ARG origin from human feces in the surface layer of the MT sediments at 2–3 cm (63.6%) and 0–2 cm (46.1%), but zero below 4 cm. Although the prediction results were highly data- and model-dependent, we collected 584 metagenomic data sets for source modeling covering as many ecotypes and continents as possible, and we could get some clues on their probable contributors from the prediction results.…”
Section: Results and Discussionmentioning
confidence: 99%
“…This result allows us to screen different species as indigenous internal standards for different sample groups if there are no common species in all samples because of sample diversity. For example, no single species was shared between 1,186 samples from global wastewater treatment plants, but Macellibacteroides fermentans was detected in all 11 wastewater treatment plants sampled from South America (29). Thus, this species could be a candidate for use as the indigenous internal standard for the corresponding sample group.…”
Section: Discussionmentioning
confidence: 99%