Evidence map›Paper›PMID 35652670›Full record

ArticleJournal of bacteriology2022

A Standardized Framework for Better Understanding of Phenotypic Differences within Bacterial Phyla Based on Protein Domain.

Boqian Wang, Jianglin Zhou, Yuan Jin, Mingda Hu, Yunxiang Zhao, Xin Wang, Long Liang, Junjie Yue, Hongguang Ren

Abstract read
In one paragraph

Article in Journal of bacteriology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Boqian Wang *Beijing Institute of Biotechnology, State Key Laboratory of Pathogen and Biosecurity, Beijing, China.ORCID 0000-0003-2791-2395
Jianglin Zhou *Beijing Institute of Microbiology and Epidemiology, State Key Laboratory of Pathogen and Biosecurity, Beijing, China.
Yuan JinBeijing Institute of Biotechnology, State Key Laboratory of Pathogen and Biosecurity, Beijing, China.
Mingda HuBeijing Institute of Biotechnology, State Key Laboratory of Pathogen and Biosecurity, Beijing, China.
Yunxiang ZhaoBeijing Institute of Biotechnology, State Key Laboratory of Pathogen and Biosecurity, Beijing, China.
Xin WangBeijing Institute of Biotechnology, State Key Laboratory of Pathogen and Biosecurity, Beijing, China.
Long LiangBeijing Institute of Biotechnology, State Key Laboratory of Pathogen and Biosecurity, Beijing, China.
Junjie YueBeijing Institute of Biotechnology, State Key Laboratory of Pathogen and Biosecurity, Beijing, China.
Hongguang RenBeijing Institute of Biotechnology, State Key Laboratory of Pathogen and Biosecurity, Beijing, China.

Funding

National Natural Science Foundation of China (NSFC) 32070025State Key Laboratory of Pathogen and Biosecurity SKLPBS1807
6 · The paper itself

Abstract

We propose a standardized framework to classify target species based on their protein domains, which can be utilized in different contexts, like eukaryotes and prokaryotes. In this study, by applying the framework to the bacterial kingdom as an implementation example and comparing the results with the current taxonomy standards at the phylum level, we came to the conclusion that the sequence of domains rather than the content of domains in a protein and the presence of one domain rather than the number of occurrences of one domain play more important roles in deciding bacterial phenotypes as well as matching the current taxonomy. In addition, the comparison also helps us to better focus on the species that conflict with the current phylum category, as well as to further investigate their phenotypic or genotypic differences.

Indexed as

BacteriaEukaryotaCluster AnalysisPhenotypeProtein Domainsbacterial kingdomframework of classificationphenotypic or genotypic differencesprotein domain

Identifiers

PMID35652670
PMCPMC9210965

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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.