Evidence map›Paper›PMID 35304940›Full record

ArticleEnvironmental microbiology2022

Abundant and persistent sulfur-oxidizing microbial populations are responsive to hypoxia in the Chesapeake Bay.

Keith Arora-Williams, Christopher Holder, Maeve Secor, Hugh Ellis, Meng Xia, Anand Gnanadesikan, Sarah P Preheim

Abstract read
In one paragraph

Article in Environmental microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Genome-resolved adaptation strategies ofApplied and environmental microbiology · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

7 authors.

Keith Arora-WilliamsDepartment of Environmental Health and Engineering, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD 21218, USA.ORCID 0000-0002-7575-7775
Christopher HolderDepartment of Earth and Planetary Sciences, 3400 N. Charles Street, Baltimore, MD 21218, USA.
Maeve SecorDepartment of Environmental Health and Engineering, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD 21218, USA.
Hugh EllisDepartment of Environmental Health and Engineering, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD 21218, USA.
Meng XiaDepartment of Natural Sciences, University of Maryland Eastern Shore, Princess Anne, MD 21853, USA.
Anand GnanadesikanDepartment of Earth and Planetary Sciences, 3400 N. Charles Street, Baltimore, MD 21218, USA.ORCID 0000-0001-5784-1116
Sarah P PreheimDepartment of Environmental Health and Engineering, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD 21218, USA.ORCID 0000-0001-7365-2382

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number, size and severity of aquatic low-oxygen dead zones are increasing worldwide. Microbial processes in low-oxygen environments have important ecosystem-level consequences, such as denitrification, greenhouse gas production and acidification. To identify key microbial processes occurring in low-oxygen bottom waters of the Chesapeake Bay, we sequenced both 16S rRNA genes and shotgun metagenomic libraries to determine the identity, functional potential and spatiotemporal distribution of microbial populations in the water column. Unsupervised clustering algorithms grouped samples into three clusters using water chemistry or microbial communities, with extensive overlap of cluster composition between methods. Clusters were strongly differentiated by temperature, salinity and oxygen. Sulfur-oxidizing microorganisms were found to be enriched in the low-oxygen bottom water and predictive of hypoxic conditions. Metagenome-assembled genomes demonstrate that some of these sulfur-oxidizing populations are capable of partial denitrification and transcriptionally active in a prior study. These results suggest that microorganisms capable of oxidizing reduced sulfur compounds are a previously unidentified microbial indicator of low oxygen in the Chesapeake Bay and reveal ties between the sulfur, nitrogen and oxygen cycles that could be important to capture when predicting the ecosystem response to remediation efforts or climate change.

Indexed as

BaysMicrobiotaSulfur-Reducing BacteriaMarylandOxidation-ReductionOxygenRNA, Ribosomal, 16SSulfurVirginiaWaterOxygenRNA, Ribosomal, 16SSulfurWater

Identifiers

PMID35304940
PMCPMC9310604

What OpenQuestion holds

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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.