Evidence map›Paper›PMID 38868336›Full record

ArticleiMeta2023

MBPD: A multiple bacterial pathogen detection pipeline for One Health practices.

Xinrun Yang, Gaofei Jiang, Yaozhong Zhang, Ningqi Wang, Yuling Zhang, Xiaofang Wang, Fang-Jie Zhao, Yangchun Xu, Qirong Shen, Zhong Wei

Abstract read
In one paragraph

Article in iMeta, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Unstable pathogen profile in spotted seal (Phoca largha) gut microbiota and limited turnover with habitat microbiome.International microbiology : the official journal of the Spanish Society for Microbiology · 2025
    Article
  18. CeONPJ microgravity · 2025
    Article
  19. Article
  20. 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

10 authors.

Xinrun YangLaboratory of Bio-Interactions and Crop Health, Jiangsu Provincial Key Laboratory for Organic Solid Waste Utilization, Joint International Research Laboratory of Soil Health, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, National Engineering Research Center for Organic-Based Fertilizers, College of Resources and Environmental Sciences Nanjing Agricultural University Nanjing China.ORCID 0000-0002-6482-8734
Gaofei JiangLaboratory of Bio-Interactions and Crop Health, Jiangsu Provincial Key Laboratory for Organic Solid Waste Utilization, Joint International Research Laboratory of Soil Health, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, National Engineering Research Center for Organic-Based Fertilizers, College of Resources and Environmental Sciences Nanjing Agricultural University Nanjing China.ORCID 0000-0002-5331-739X
Yaozhong ZhangLaboratory of Bio-Interactions and Crop Health, Jiangsu Provincial Key Laboratory for Organic Solid Waste Utilization, Joint International Research Laboratory of Soil Health, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, National Engineering Research Center for Organic-Based Fertilizers, College of Resources and Environmental Sciences Nanjing Agricultural University Nanjing China.ORCID https://orcid.org/0000-0002-8024-6523
Ningqi WangLaboratory of Bio-Interactions and Crop Health, Jiangsu Provincial Key Laboratory for Organic Solid Waste Utilization, Joint International Research Laboratory of Soil Health, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, National Engineering Research Center for Organic-Based Fertilizers, College of Resources and Environmental Sciences Nanjing Agricultural University Nanjing China.ORCID https://orcid.org/0000-0002-7788-4364
Yuling ZhangLaboratory of Bio-Interactions and Crop Health, Jiangsu Provincial Key Laboratory for Organic Solid Waste Utilization, Joint International Research Laboratory of Soil Health, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, National Engineering Research Center for Organic-Based Fertilizers, College of Resources and Environmental Sciences Nanjing Agricultural University Nanjing China.ORCID https://orcid.org/0000-0001-6352-570X
Xiaofang WangLaboratory of Bio-Interactions and Crop Health, Jiangsu Provincial Key Laboratory for Organic Solid Waste Utilization, Joint International Research Laboratory of Soil Health, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, National Engineering Research Center for Organic-Based Fertilizers, College of Resources and Environmental Sciences Nanjing Agricultural University Nanjing China.ORCID https://orcid.org/0000-0001-5030-1686
Fang-Jie ZhaoLaboratory of Bio-Interactions and Crop Health, Jiangsu Provincial Key Laboratory for Organic Solid Waste Utilization, Joint International Research Laboratory of Soil Health, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, National Engineering Research Center for Organic-Based Fertilizers, College of Resources and Environmental Sciences Nanjing Agricultural University Nanjing China.ORCID https://orcid.org/0000-0002-0164-169X
Yangchun XuLaboratory of Bio-Interactions and Crop Health, Jiangsu Provincial Key Laboratory for Organic Solid Waste Utilization, Joint International Research Laboratory of Soil Health, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, National Engineering Research Center for Organic-Based Fertilizers, College of Resources and Environmental Sciences Nanjing Agricultural University Nanjing China.ORCID https://orcid.org/0000-0003-2740-5561
Qirong ShenLaboratory of Bio-Interactions and Crop Health, Jiangsu Provincial Key Laboratory for Organic Solid Waste Utilization, Joint International Research Laboratory of Soil Health, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, National Engineering Research Center for Organic-Based Fertilizers, College of Resources and Environmental Sciences Nanjing Agricultural University Nanjing China.ORCID https://orcid.org/0000-0002-5662-9620
Zhong WeiLaboratory of Bio-Interactions and Crop Health, Jiangsu Provincial Key Laboratory for Organic Solid Waste Utilization, Joint International Research Laboratory of Soil Health, Jiangsu Collaborative Innovation Center for Solid Organic Waste Resource Utilization, National Engineering Research Center for Organic-Based Fertilizers, College of Resources and Environmental Sciences Nanjing Agricultural University Nanjing China.ORCID https://orcid.org/0000-0002-7967-4897

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial pathogens are one of the major threats to biosafety and environmental health, and advanced assessment is a prerequisite to combating bacterial pathogens. Currently, 16S rRNA gene sequencing is efficient in the open-view detection of bacterial pathogens. However, the taxonomic resolution and applicability of this method are limited by the domain-specific pathogen database, taxonomic profiling method, and sequencing target of 16S variable regions. Here, we present a pipeline of multiple bacterial pathogen detection (MBPD) to identify the animal, plant, and zoonotic pathogens. MBPD is based on a large, curated database of the full-length 16S genes of 1986 reported bacterial pathogen species covering 72,685 sequences. In silico comparison allowed MBPD to provide the appropriate similarity threshold for both full-length and variable-region sequencing platforms, while the subregion of V3-V4 (mean: 88.37%, accuracy rate compared to V1-V9) outperformed other variable regions in pathogen identification compared to full-length sequencing. Benchmarking on real data sets suggested the superiority of MBPD in a broader range of pathogen detections compared with other methods, including 16SPIP and MIP. Beyond detecting the known causal agent of animal, human, and plant diseases, MBPD is capable of identifying cocontaminating pathogens from biological and environmental samples. Overall, we provide a MBPD pipeline for agricultural, veterinary, medical, and environmental monitoring to achieve One Health.

Indexed as

16S rRNA gene sequencingbacterial pathogen detectionOne Health

Identifiers

PMID38868336
PMCPMC10989770

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.