Evidence map›Paper›PMID 37695749›Full record

ArticleEnvironmental science & technology2023

Syntrophic Interactions Ameliorate Arsenic Inhibition of Solvent-Dechlorinating

Sara Gushgari-Doyle, Christopher I Olivares, Mohan Sun, Lisa Alvarez-Cohen

Open access · greenAbstract read
In one paragraph

Article in Environmental science & technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 35% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Complete genome sequence ofMicrobiology resource announcements · 2026
    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 at 2 institutions in 1 country.

Sara Gushgari-DoyleDepartment of Civil and Environmental Engineering, College of Engineering, University of California, Berkeley, California 94720, United States.ORCID 0000-0002-2504-6529
Christopher I OlivaresDepartment of Civil and Environmental Engineering, College of Engineering, University of California, Berkeley, California 94720, United States.ORCID 0000-0001-6213-7158
Mohan SunDepartment of Civil and Environmental Engineering, College of Engineering, University of California, Berkeley, California 94720, United States.ORCID 0000-0003-2747-5164
Lisa Alvarez-CohenDepartment of Civil and Environmental Engineering, College of Engineering, University of California, Berkeley, California 94720, United States.
University of California, Berkeley · USLawrence Berkeley National Laboratory · US

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI SMITH, MARTYN T · 1987 to 2025
$74.6M
Pacific Biosciences PacBio RS Single Molecule Real Time SequencerS10OD018174 · OD · UNIVERSITY OF CALIFORNIA BERKELEY · PI ROKHSAR, DANIEL SOLEYMAN · 2014 to 2014
$600k
NIEHS NIH HHS P42 ES004705NIH HHS S10 OD018174
6 · The paper itself

Abstract

Interactions and nutrient exchanges among members of microbial communities are important for understanding functional relationships in environmental microbiology. We can begin to elucidate the nature of these complex systems by taking a bottom-up approach utilizing simplified, but representative, community members. Here, we assess the effects of a toxic stress event, the addition of arsenite (As(III)), on a syntrophic co-culture containing lactate-fermenting

Indexed as

ArsenicArsenitesTrichloroethyleneDehalococcoidesLactic AcidSolventsArsenicarseniteArsenitesLactic AcidSolventsTrichloroethylenearsenicco-culturedechlorinationDehalococcoidesDesulfovibriomicrobial interactionsTCE

Identifiers

PMID37695749
PMCPMC11055506
OpenAlexW4386623769

What OpenQuestion holds

Textmetadata
LicenceTDM
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.