Evidence map›Paper›PMID 35623445›Full record

ArticleGenomics, proteomics & bioinformatics2022

First Glimpse of Gut Microbiota of Quarantine Insects in China.

Yanxue Yu, Qi Wang, Ping Zhou, Na Lv, Wei Li, Fangqing Zhao, Shuifang Zhu, Di Liu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Yanxue YuInstitute of Plant Quarantine, Chinese Academy of Inspection and Quarantine, Beijing 100176, China.
Qi WangInstitute of Physical Science and Information Technology, Anhui University, Hefei 230601, China; Computational Virology Group, Center for Bacteria and Virus Resources and Bioinformation, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China; CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Ping ZhouInstitute of Plant Quarantine, Chinese Academy of Inspection and Quarantine, Beijing 100176, China.
Na LvCAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China.
Wei LiComputational Virology Group, Center for Bacteria and Virus Resources and Bioinformation, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China; CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Fangqing ZhaoComputational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing 102206, China; University of Chinese Academy of Sciences, Beijing 100049, China.
Shuifang ZhuInstitute of Plant Quarantine, Chinese Academy of Inspection and Quarantine, Beijing 100176, China. Electronic address: zhusf@caiq.org.cn.
Di LiuComputational Virology Group, Center for Bacteria and Virus Resources and Bioinformation, Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan 430071, China; CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China. Electronic address: liud@wh.iov.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quarantine insects are economically important pests that frequently invade new habitats. A rapid and accurate monitoring method to trace the geographical sources of invaders is required for their prevention, detection, and eradication. Current methods based on genetics are typically time-consuming. Here, we developed a novel tracing method based on insect gut microbiota. The source location of the insect gut microbiota can be used to rapidly determine the geographical origin of the insect. We analyzed 179 gut microbiota samples from 591 individuals of 22 quarantine insect species collected from 36 regions in China. The gut microbiota of these insects primarily included Actinobacteria, Bacteroidetes, Cyanobacteria, Firmicutes, Proteobacteria, and Tenericutes. The diversity of the insect gut microbiota was closely associated with geographical and environmental factors. Different insect species could be distinguished based on the composition of gut microbiota at the phylum level. Populations of individual insect species from different regions could be distinguished based on the composition of gut microbiota at the phylum, class, and order levels. A method for determining the geographical origins of invasive insect species has been established; however, its practical application requires further investigations before implementation.

Indexed as

Gastrointestinal MicrobiomeAnimalsChinaHumansInsectaQuarantineRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S rRNAGenus levelGeographical originGut microbiotaQuarantine insect

Identifiers

PMID35623445
PMCPMC9684152

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.