Evidence map›Paper›PMID 33905584›Full record

ReviewJournal of applied microbiology2021

Human- and infrastructure-associated bacteria in greywater.

M Nagarkar, S P Keely, N E Brinkman, J L Garland

Abstract readReview
In one paragraph

Review in Journal of applied microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Greywater Reuse: Contaminant Profile, Health Implications, and Sustainable Solutions.International journal of environmental research and public health · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Organic Compounds and Antibiotic-Resistant Bacteria Behavior in Greywater Treated by a Constructed Wetland.International journal of environmental research and public health · 2023
    Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

M NagarkarOffice of Research and Development, United States Environmental Protection Agency, Cincinnati, OH, USA.ORCID https://orcid.org/0000-0001-7586-3570
S P KeelyOffice of Research and Development, United States Environmental Protection Agency, Cincinnati, OH, USA.ORCID https://orcid.org/0000-0002-5343-3649
N E BrinkmanOffice of Research and Development, United States Environmental Protection Agency, Cincinnati, OH, USA.
J L GarlandOffice of Research and Development, United States Environmental Protection Agency, Cincinnati, OH, USA.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Greywater, the wastewater from sinks, showers and laundry, is an understudied environment for bacterial communities. Most greywater studies focus on quantifying pathogens, often via proxies used in other wastewater, like faecal indicator bacteria; there is a need to identify more greywater-appropriate surrogates, like Staphylococcus sp. Sequencing-based studies have revealed distinct communities in different types of greywater as well as in different parts of greywater infrastructure, including biofilms on pipes, holding tanks and filtration systems. The use of metagenomic sequencing provides high resolution on both the taxa and genes present, which may be of interest in cases like identifying pathogens and surrogates relevant to different matrices, monitoring antibiotic resistance genes and understanding metabolic processes occurring in the system. Here, we review what is known about bacterial communities in different types of greywater and its infrastructure. We suggest that wider adoption of environmental sequencing in greywater research is important because it can describe the entire bacterial community along with its metabolic capabilities, including pathways for removal of nutrients and organic materials. We briefly describe a metagenomic dataset comparing different types of greywater samples in a college dormitory building to highlight the type of questions these methods can address. Metagenomic sequencing can help further the understanding of greywater treatment for reuse because it allows for identification of new pathogens or genes of concern.

Indexed as

Waste Disposal, FluidWastewaterBacteriaFiltrationHumansStaphylococcusWastewaterdiversityindicatorsmetagenomicswastewaterwastewater treatment

Identifiers

PMID33905584
PMCPMC8682149

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.