Evidence map›Paper›PMID 33488723›Full record

ArticleInternational journal of microbiology2020

Diversity, Abundance, and Some Characteristics of Bacteria Isolated from Earth Material Consumed by Wild Animals at Kudurs in the Sikhote-Alin Mountains, Russia.

Elena Lebedeva, Alexander Panichev, Natalya Kharitonova, Aleksei Kholodov, Kirill Golokhvast

Open access · goldAbstract read
In one paragraph

Article in International journal of microbiology, 2020. 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
0.5field-weighted citation impact, top 32% 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, 5 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 1 country.

Elena LebedevaLaboratory of Geochemistry of Hypergene Processes, Far East Geological Institute FEB RAS, Vladivostok, Russia.
Alexander PanichevLaboratory of Ecology and Animal Protection, Pacific Geographical Institute FEB RAS, Vladivostok, Russia.ORCID https://orcid.org/0000-0001-5223-443X
Natalya KharitonovaLaboratory of Geochemistry of Hypergene Processes, Far East Geological Institute FEB RAS, Vladivostok, Russia.
Aleksei KholodovLaboratory of Geochemistry of Hypergene Processes, Far East Geological Institute FEB RAS, Vladivostok, Russia.ORCID https://orcid.org/0000-0001-6916-0596
Kirill GolokhvastLaboratory of Ecology and Animal Protection, Pacific Geographical Institute FEB RAS, Vladivostok, Russia.ORCID https://orcid.org/0000-0002-4873-2281
Far East Geological Institute · RUFar Eastern Branch of the Russian Academy of Sciences · RUFar Eastern Federal University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, geochemical and microbiological studies were performed at kudurs in the southeastern part of the Sikhote-Alin mountain range and in the Sikhote-Alin Nature Reserve located in Primorsky Krai, Russia. It was found that the earth material eaten by wild animals in both sites is represented by clay-zeolite tuffs of dacite-rhyolite composition. In the earth material, Na is predominant in bioavailable macronutrients and Zn, light lanthanides, and Y in trace elements. Microbiological studies of geophagic earths revealed a wide range of heterotrophic and autotrophic aerobes and anaerobes involved in the conversion of carbon, nitrogen, and sulfur. Iron- and manganese-oxidizing bacteria and silicate bacteria were identified as well. The isolated pure cultures of heterotrophic bacteria were represented mainly by Gram-positive spore-forming large rods of

Identifiers

PMID33488723
PMCPMC7803285
OpenAlexW3111952295

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.