Evidence map›Paper›PMID 38867972›Full record

ArticleHeliyon2024

Detecting genetic gain and loss events in terms of protein domain: Method and implementation.

Boqian Wang, Yuan Jin, Mingda Hu, Yunxiang Zhao, Xin Wang, Junjie Yue, Hongguang Ren

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. 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

7 authors.

Boqian WangBeijing Institute of Biotechnology, 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.
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

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuous gain and loss of genes are the primary driving forces of bacterial evolution and environmental adaptation. Studying bacterial evolution in terms of protein domain, which is the fundamental function and evolutionary unit of proteins, can provide a more comprehensive understanding of bacterial differentiation and phenotypic adaptation processes. Therefore, we proposed a phylogenetic tree-based method for detecting genetic gain and loss events in terms of protein domains. Specifically, the method focuses on a single domain to trace its evolution process or on multiple domains to investigate their co-evolution principles. This novel method was validated using 122

Indexed as

Bacterial evolutionPhylogenetic treeProtein domainShigella

Identifiers

PMID38867972
PMCPMC11168390

What OpenQuestion holds

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LicenceCC BY-NC
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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.