Evidence map›Paper›PMID 31728678›Full record

ArticleAMB Express2019

Development of a multiplex PCR assay for the simultaneous and rapid detection of six pathogenic bacteria in poultry.

Zhihao Wang, Jiakun Zuo, Jiansen Gong, Jiangang Hu, Wei Jiang, Rongsheng Mi, Yan Huang, Zhaoguo Chen, Vanhnaseng Phouthapane, Kezong Qi and 2 more

Abstract read
In one paragraph

Article in AMB Express, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Establishment of a RapidBiosensors · 2026
    Article
  2. Article
  3. Article
  4. RPA-CRISPR/Cas12a-based detection ofFrontiers in veterinary science · 2025
    Article
  5. Article
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  7. Article
  8. Article
  9. Salmonella detection with LAMP and qPCR and identification of serovars of interest by multiplex qPCR in poultry carcasses.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Frontiers in microbiology · 2022
    Article
  17. Article
  18. Article
  19. Article
  20. Virulence and resistance determinants inJournal of advanced veterinary and animal research · 2020
    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

12 authors.

Zhihao WangShanghai Veterinary Research Institute, The Chinese Academy of Agricultural Sciences (CAAS), 518 Ziyue Road, Shanghai, 200241, People's Republic of China.
Jiakun ZuoShanghai Veterinary Research Institute, The Chinese Academy of Agricultural Sciences (CAAS), 518 Ziyue Road, Shanghai, 200241, People's Republic of China.
Jiansen GongPoultry Institute, Chinese Academy of Agricultural Sciences, Yangzhou, 225125, Jiangsu, People's Republic of China.
Jiangang HuShanghai Veterinary Research Institute, The Chinese Academy of Agricultural Sciences (CAAS), 518 Ziyue Road, Shanghai, 200241, People's Republic of China.
Wei JiangShanghai Veterinary Research Institute, The Chinese Academy of Agricultural Sciences (CAAS), 518 Ziyue Road, Shanghai, 200241, People's Republic of China.
Rongsheng MiShanghai Veterinary Research Institute, The Chinese Academy of Agricultural Sciences (CAAS), 518 Ziyue Road, Shanghai, 200241, People's Republic of China.
Yan HuangShanghai Veterinary Research Institute, The Chinese Academy of Agricultural Sciences (CAAS), 518 Ziyue Road, Shanghai, 200241, People's Republic of China.
Zhaoguo ChenShanghai Veterinary Research Institute, The Chinese Academy of Agricultural Sciences (CAAS), 518 Ziyue Road, Shanghai, 200241, People's Republic of China.
Vanhnaseng PhouthapaneBiotechnology and Ecology Institute, Ministry of Science and Technology (MOST), 22797, Vientiane, Lao People's Democratic Republic.
Kezong QiCollege of Animal Science and Technology, Anhui Agricultural University, 130 Changjiangxilu, Hefei, 230036, People's Republic of China. qkz@ahau.edu.cn.
Chen WangCollege of Animal Science and Technology, Henan University of Science and Technology, No.263 Kaiyuan Road, Luoyang, 471023, Henan, People's Republic of China. wangchen2001@126.com.
Xiangan HanShanghai Veterinary Research Institute, The Chinese Academy of Agricultural Sciences (CAAS), 518 Ziyue Road, Shanghai, 200241, People's Republic of China. hanxgan@163.com.

Funding

National Natural Science Foundation of China 31572546National Natural Science Foundation of China 31872483
6 · The paper itself

Abstract

Escherichia coli, Pasteurella multocida, Proteus mirabilis, Pseudomonas aeruginosa, Salmonella spp. and Staphylococcus aureus are six bacterial pathogens of avian. However, these pathogens may cause many similar pathological changes, resulting in clinical isolates that are difficult to quickly and simultaneously detect and identify. Here, a multiplex polymerase chain reaction (m-PCR) assay is reported to rapidly identify targets genes (phoA, KMT1, ureR, toxA, invA, and nuc) of these six pathogens in clinical samples. Six pairs of specific primers were designed. The optimal reaction conditions, specificity, and sensitivity of the m-PCR assay were investigated. The results showed that betaine remarkably improved amplification of the target genes. Specific test results showed that all six pathogens were detected by the proposed m-PCR protocol without cross-amplification with viruses or parasites. Sensitivity test results showed that the m-PCR system could amplify the six target genes from bacterial genomes or cultures with template amounts of 500 pg or 2.8-8.6 × 10

Indexed as

AvianMultiplex PCR assaySix pathogenic bacteriaSpecificity

Identifiers

PMID31728678
PMCPMC6856251

What OpenQuestion holds

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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.