Evidence map›Paper›PMID 34557350›Full record

ArticlePeerJ2021

The spleen bacteriome of wild rodents and shrews from Marigat, Baringo County, Kenya.

Rehema Liyai, Gathii Kimita, Clement Masakhwe, David Abuom, Beth Mutai, David Miruka Onyango, John Waitumbi

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 23% 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, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. White-Toothed Shrews (GenusPathogens (Basel, Switzerland) · 2023
    Article
  3. Divergent Hantavirus in Somali Shrews (Pathogens (Basel, Switzerland) · 2023
    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 at 2 institutions in 1 country.

Rehema LiyaiDepartment of Zoology, Maseno University College, Kisumu, Kenya.
Gathii KimitaBasic Science Laboratory, United States Army Medical Research Directorate-Africa, Kisumu, Kenya.
Clement MasakhweBasic Science Laboratory, United States Army Medical Research Directorate-Africa, Kisumu, Kenya.
David AbuomEntomology Section, United States Medical Research Directorate-Africa, Kisumu, Kenya.
Beth MutaiBasic Science Laboratory, United States Army Medical Research Directorate-Africa, Kisumu, Kenya.
David Miruka OnyangoDepartment of Zoology, Maseno University College, Kisumu, Kenya.
John WaitumbiBasic Science Laboratory, United States Army Medical Research Directorate-Africa, Kisumu, Kenya.
United States Army Medical Research Directorate - Africa · KEMaseno University · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a global increase in reports of emerging diseases, some of which have emerged as spillover events from wild animals. The spleen is a major phagocytic organ and can therefore be probed for systemic microbiome. This study assessed bacterial diversity in the spleen of wild caught small mammals so as to evaluate their utility as surveillance tools for monitoring bacteria in an ecosystem shared with humans.

methodsFifty-four small mammals (rodents and shrews) were trapped from different sites in Marigat, Baringo County, Kenya. To characterize their bacteriome, DNA was extracted from their spleens and the V3-V4 regions of the 16S rRNA amplified and then sequenced on Illumina MiSeq. A non-target control sample was used to track laboratory contaminants. Sequence data was analyzed with Mothur v1.35, and taxomy determined using the SILVA database. The Shannon diversity index was used to estimate bacterial diversity in each animal and then aggregated to genus level before computing the means. Animal species within the rodents and shrews were identified by amplification of mitochondrial cytochrome b (

results

conclusionThis study examined systemic bacteria that are filtered by the spleen and the findings underscore the utility of 16S rRNA deep sequencing in characterizing complex microbiota that are potentially relevant to one health issues. An inherent problem with the V3-V4 region of 16S rRNA is the inability to classify bacteria reliably beyond the genera. Future studies should utilize the newer long read methods of 16S rRNA analysis that can delimit the species composition.

Indexed as

16S rRNABacteria diversityNext Generation SequencingRodentsShrewsSpleen microbiomeWild mammalsZoonosis

Identifiers

PMID34557350
PMCPMC8418798
OpenAlexW3196517932

What OpenQuestion holds

Textmetadata
LicenceCC0
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.