ArticleMicrobiology resource announcements2020
16S rRNA Gene Amplicon Sequence Data from Feces of Wild Deer (Cervus nippon) in Japan.
Article in Microbiology resource announcements, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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.
Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- Analysis of the Intestinal and Faecal Bacterial Microbiota of the Cervidae Family UsingMicroorganisms · 2023Review
- Metabarcoding of bacteria and parasites in the gut of Apodemus agrarius.Parasites & vectors · 2022Article
- Recovery of Nucleic Acids of Enteric Viruses and Host-SpecificApplied and environmental microbiology · 2021Article
- 16S rRNA Gene Amplicon Sequence Data from Feces of Five Species of Wild Animals in Japan.Microbiology resource announcements · 2020Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We report 16S rRNA amplicon sequence data from feces of 109 wild deer in Japan. The dominant bacterial taxa in fecal microbiota of wild deer hunted between village and mountainous areas and those living on Miyajima Island and in Nara Park were similar but differed in abundance.
Identifiers
What OpenQuestion holds
Registered trials
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.