Evidence map›Paper›PMID 28384184›Full record

ArticlePloS one2017

Assessing biosynthetic potential of agricultural groundwater through metagenomic sequencing: A diverse anammox community dominates nitrate-rich groundwater.

William B Ludington, Thaddeus D Seher, Olin Applegate, Xunde Li, Joseph I Kliegman, Charles Langelier, Edward R Atwill, Thomas Harter, Joseph L DeRisi

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Analysis of Quality Differences inFood science & nutrition · 2026
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  5. "Applied and environmental microbiology · 2023
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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

9 authors.

William B LudingtonMolecular Cell Biology Department, University of California, Berkeley, United States of America.ORCID http://orcid.org/0000-0001-9637-4493
Thaddeus D SeherMolecular Cell Biology Department, University of California, Berkeley, United States of America.
Olin ApplegateDepartment of Land, Air and Water Resources, University of California, Davis, Davis, United States of America.
Xunde LiDepartment of Population Health and Reproduction, University of California, Davis, Davis, United States of America.
Joseph I KliegmanDepartment of Biophysics & Biochemistry, University of California, San Francisco, San Francisco, United States of America.
Charles LangelierDepartment of Biophysics & Biochemistry, University of California, San Francisco, San Francisco, United States of America.
Edward R AtwillDepartment of Population Health and Reproduction, University of California, Davis, Davis, United States of America.
Thomas HarterDepartment of Land, Air and Water Resources, University of California, Davis, Davis, United States of America.
Joseph L DeRisiDepartment of Biophysics & Biochemistry, University of California, San Francisco, San Francisco, United States of America.

Funding

Developing a reduced complexity model gut microbiome in the behavior model, Drosophila melanogasterDP5OD017851 · OD · UNIVERSITY OF CALIFORNIA BERKELEY · PI LUDINGTON, WILLIAM BASIL · 2013 to 2017
$2.0M
UCSF Career Development Program in Omics of Lung DiseasesK12HL119997 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BURCHARD, ESTEBAN GONZALEZ, ERLE, DAVID J · 2013 to 2017
$1.4M
NHLBI NIH HHS K12 HL119997NIH HHS DP5 OD017851
6 · The paper itself

Abstract

backgroundClimate change produces extremes in both temperature and precipitation causing increased drought severity and increased reliance on groundwater resources. Agricultural practices, which rely on groundwater, are sensitive to but also sources of contaminants, including nitrate. How agricultural contamination drives groundwater geochemistry through microbial metabolism is poorly understood.

methodsOn an active cow dairy in the Central Valley of California, we sampled groundwater from three wells at depths of 4.3 m (two wells) and 100 m (one well) below ground surface (bgs) as well as an effluent surface water lagoon that fertilizes surrounding corn fields. We analyzed the samples for concentrations of solutes, heavy metals, and USDA pathogenic bacteria of the Escherichia coli and Enterococcus groups as part of a long term groundwater monitoring study. Whole metagenome shotgun sequencing and assembly revealed taxonomic composition and metabolic potential of the community.

resultsElevated nitrate and dissolved organic carbon occurred at 4.3m but not at 100m bgs. Metagenomics confirmed chemical observations and revealed several Planctomycete genomes, including a new Brocadiaceae lineage and a likely Planctomycetes OM190, as well novel diversity and high abundance of nano-prokaryotes from the Candidate Phyla Radiation (CPR), the Diapherotrites, Parvarchaeota, Aenigmarchaeota, Nanoarchaeota, Nanohaloarchaea (DPANN) and the Thaumarchaeota, Aigarchaeota, Crenarchaeota, Korarchaeota (TACK) superphyla. Pathway analysis suggests community interactions based on complimentary primary metabolic pathways and abundant secondary metabolite operons encoding antimicrobials and quorum sensing systems.

conclusionsThe metagenomes show strong resemblance to activated sludge communities from a nitrogen removal reactor at a wastewater treatment plant, suggesting that natural bioremediation occurs through microbial metabolism. Elevated nitrate and rich secondary metabolite biosynthetic capacity suggest incomplete remediation and the potential for novel pharmacologically active compounds.

Indexed as

AgricultureGroundwaterMetagenomicsNitratesWater MicrobiologyNitrates

Identifiers

PMID28384184
PMCPMC5383146

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Registered trials

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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.