Evidence map›Paper›PMID 39119296›Full record

ArticleFrontiers in cellular and infection microbiology2024

Diversity analyses of bacterial symbionts in four

Kui Kang, Lina Wang, Jun Gong, Yanlong Tang, Ke Wei

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. 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
–field-weighted citation impact
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.

  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.

Kui KangCollege of Biological and Agricultural Science and Technology, Zunyi Normal University, Zunyi, China.
Lina WangCollege of Biological and Agricultural Science and Technology, Zunyi Normal University, Zunyi, China.
Jun GongCollege of Biological and Agricultural Science and Technology, Zunyi Normal University, Zunyi, China.
Yanlong TangCollege of Biological and Agricultural Science and Technology, Zunyi Normal University, Zunyi, China.
Ke WeiKey Laboratory of Forest Protection of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Methods: Here, a high-throughput sequencing study of the V3-V4 region of the 16S ribosomal RNA gene revealed a high level of microbial variety in four Results: The three most prevalent phyla of microorganisms in the sample were Firmicutes, Bacteroides, and Proteus. The KEEG pathways prediction results indicated that the three pathways with the highest relative abundances in the Conclusions: These results offer insights into the microbial communities associated with the bethylid wasps, which is crucial for understanding how to increase the reproductive capacity of wasps, enhance their parasitic effects, and lower cost in biocontrol.

Indexed as

RNA, Ribosomal, 16SSymbiosisWaspsAnimalsBacillotaBacteriaBacteroidesBiodiversityBiological Control AgentsChinaColeopteraHigh-Throughput Nucleotide SequencingMicrobiotaPhylogenyWolbachiaBiological Control AgentsRNA, Ribosomal, 16S16S ribosomal RNA amplification sequencingbacterial symbiontsmicrobial diversitySclerodermusWolbachia

Identifiers

PMID39119296
PMCPMC11306144

What OpenQuestion holds

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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.