Evidence map›Paper›PMID 32350165›Full record

ArticleMicrobes and environments2020

Enumeration of Chemoorganotrophic Carbonyl Sulfide (COS)-degrading Microorganisms by the Most Probable Number Method.

Hiromi Kato, Takahiro Ogawa, Hiroyuki Ohta, Yoko Katayama

Open access · diamondAbstract read
In one paragraph

Article in Microbes and environments, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Sulfur assimilation using gaseous carbonyl sulfide by the soil fungusApplied and environmental microbiology · 2024
    Article
  3. 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 4 institutions in 1 country.

Hiromi KatoGraduate School of Life Sciences, Tohoku University.
Takahiro OgawaGraduate School of Agriculture, Tokyo University of Agriculture and Technology.
Hiroyuki OhtaDepartment of Bioresource Science, Ibaraki University College of Agriculture.
Yoko KatayamaGraduate School of Agriculture, Tokyo University of Agriculture and Technology.
Ibaraki University · JPIndependent Administrative Institution National Research Institute for Cultural Properties · JPTohoku University · JPTokyo University of Agriculture and Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbonyl sulfide (COS) is the most abundant sulfur compound in the atmosphere, and, thus, is important in the global sulfur cycle. Soil is a major sink of atmospheric COS and the numerical distribution of soil microorganisms that degrade COS is indispensable for estimating the COS-degrading potential of soil. However, difficulties are associated with counting COS-degrading microorganisms using culture-dependent approaches, such as the most probable number (MPN) method, because of the chemical hydrolysis of COS by water. We herein developed a two-step MPN method for COS-degrading microorganisms: the first step for chemoorganotrophic growth that supported a sufficient number of cells for COS degradation in the second step. Our new MPN analysis of various environmental samples revealed that the cell density of COS-degrading microorganisms in forest soils ranged between 10

Indexed as

BacteriaBiodegradation, EnvironmentalBiomassColony Count, MicrobialCulture MediaForestsHydrogen-Ion ConcentrationPhylogenySoil MicrobiologySulfur OxidesVolcanic EruptionsWater Microbiologycarbonyl sulfideCulture MediaSulfur Oxidescarbonic anhydrasecarbonyl sulfidemost probable number methodsoil microbes

Identifiers

PMID32350165
PMCPMC7308577
OpenAlexW3021226489

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.