Evidence map›Paper›PMID 35802172›Full record

ArticleMicrobial ecology2023

Soil Microbial Community Composition and Tolerance to Contaminants in an Urban Brownfield Site.

Maura Palacios Mejia, Connie A Rojas, Emily Curd, Mark A Renshaw, Kiumars Edalati, Beverly Shih, Nitin Vincent, Meixi Lin, Peggy H Nguyen, Robert Wayne and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbial ecology, 2023. 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. From Biocontrol to Synthesis: Innovative Progress ofInternational journal of molecular sciences · 2025
    Review
  3. Review
  4. Article
  5. Article
  6. 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

12 authors.

Maura Palacios MejiaEcology & Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, USA. mepalacios@ucla.edu.ORCID http://orcid.org/0000-0003-3513-8416
Connie A RojasEcology, Evolution, and Behavior Program, Michigan State University, Lansing, MI, USA.ORCID http://orcid.org/0000-0002-6097-8970
Emily CurdNatural Science, Landmark College, Putney, VT, USA.ORCID http://orcid.org/0000-0003-0336-6852
Mark A RenshawCherokee Federal, USGS Wetland and Aquatic Research Center, Gainesville, FL, USA.
Kiumars EdalatiEcology & Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, USA.
Beverly ShihEcology & Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, USA.
Nitin VincentEcology & Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, USA.
Meixi LinEcology & Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-5233-0675
Peggy H NguyenInstitute of the Environment and Sustainability, University of California, Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-6611-9854
Robert WayneEcology & Evolutionary Biology, University of California, Los Angeles, Los Angeles, CA, USA.
Kelsey JessupThe Nature Conservancy, Los Angeles, CA, USA.
Sophie S ParkerThe Nature Conservancy, Los Angeles, CA, USA.

Funding

La Kretz and Stunt Ranch Reserve Grant 443952-SR-69085Office of the President, University of California CA-16-376437
6 · The paper itself

Abstract

Brownfields are unused sites that contain hazardous substances due to previous commercial or industrial use. The sites are inhospitable for many organisms, but some fungi and microbes can tolerate and thrive in the nutrient-depleted and contaminated soils. However, few studies have characterized the impacts of long-term contamination on soil microbiome composition and diversity at brownfields. This study focuses on an urban brownfield-a former rail yard in Los Angeles that is contaminated with heavy metals, volatile organic compounds, and petroleum-derived pollutants. We anticipate that heavy metals and organic pollutants will shape soil microbiome diversity and that several candidate fungi and bacteria will be tolerant to the contaminants. We sequence three gene markers (16S ribosomal RNA, 18S ribosomal RNA, and the fungal internal transcribed spacer (FITS)) in 55 soil samples collected at five depths to (1) profile the composition of the soil microbiome across depths; (2) determine the extent to which hazardous chemicals predict microbiome variation; and (3) identify microbial taxonomic groups that may metabolize these contaminants. Detected contaminants in the samples included heavy metals, petroleum hydrocarbons, polycyclic aromatic hydrocarbons, and volatile organic compounds. Bacterial, eukaryotic, and fungal communities all varied with depth and with concentrations of arsenic, chromium, cobalt, and lead. 18S rRNA microbiome richness and fungal richness were positively correlated with lead and cobalt levels, respectively. Furthermore, bacterial Paenibacillus and Iamia, eukaryotic Actinochloris, and fungal Alternaria were enriched in contaminated soils compared to uncontaminated soils and represent taxa of interest for future bioremediation research. Based on our results, we recommend incorporating DNA-based multi-marker microbial community profiling at multiple sites and depths in brownfield site assessment standard methods and restoration.

Indexed as

Environmental PollutantsMetals, HeavyMicrobiotaPetroleumSoil PollutantsVolatile Organic CompoundsBacteriaBiodegradation, EnvironmentalCobaltRNA, Ribosomal, 16SSoilSoil MicrobiologyCobaltEnvironmental PollutantsMetals, HeavyPetroleumRNA, Ribosomal, 16SSoilSoil PollutantsVolatile Organic Compounds16S rRNA18S rRNABrownfieldsContaminationeDNAHeavy metalsITSSoil microbiome

Identifiers

PMID35802172
PMCPMC10156844

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.