Evidence map›Paper›PMID 31151997›Full record

ArticleG3 (Bethesda, Md.)2019

Systematic Analysis of Metabolic Pathway Distributions of Bacterial Energy Reserves.

Liang Wang, Jianye Yang, Yue Huang, Qinghua Liu, Yaping Xu, Xue Piao, Michael J Wise

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 38% of its field
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

5 citing papers in PubMed, 19 citations in OpenAlex.

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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 at 3 institutions in 2 countries.

Liang WangDepartment of Bioinformatics, School of Medical Informatics, leonwang@xzhmu.edu.cn.ORCID 0000-0001-5339-7484
Jianye YangDepartment of Bioinformatics, School of Medical Informatics.
Yue HuangDepartment of Bioinformatics, School of Medical Informatics.
Qinghua LiuJiangsu Key Lab of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, Jiangsu Province, 221000, China.
Yaping XuDepartment of Bioinformatics, School of Medical Informatics.
Xue PiaoDepartment of Bioinformatics, School of Medical Informatics.
Michael J WiseDepartment of Computer Science and Software Engineering, and.ORCID 0000-0001-6559-4303
Xuzhou Medical College · CNChina University of Mining and Technology · CNThe University of Western Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous bioinformatics studies have linked gain or loss of energy reserves with host-pathogen interactions and bacterial virulence based on a comparatively small number of bacterial genomes or proteomes. Thus, understanding the theoretical distribution patterns of energy reserves across bacterial species could provide a shortcut route to look into bacterial lifestyle and physiology. So far, five major energy reserves have been identified in bacteria due to their capacity to support bacterial persistence under nutrient deprivation conditions. These include polyphosphate (polyP), glycogen, wax ester (WE), triacylglycerol (TAG), and polyhydroxyalkanoates (PHAs). Although the enzymes related with metabolism of energy reserves are well understood, there is a lack of systematic investigations into the distribution of bacterial energy reserves from an evolutionary point of view. In this study, we sourced 8282 manually reviewed bacterial reference proteomes and combined a set of hidden Markov sequence models (HMMs) to search homologs of key enzymes related with the metabolism of energy reserves. Our results revealed that specific pathways like trehalose-related glycogen metabolism and enzymes such as wax ester synthase/acyl-CoA:diacylglycerol acyltransferase (WS/DGAT) are mainly restricted within specific types of bacterial groups, which provides evolutionary insights into the understanding of their origins and functions. In addition, the study also confirms that loss of energy reserves like polyP metabolism absence in

Indexed as

Bacterial Physiological PhenomenaComputational BiologyEnergy MetabolismMetabolic Networks and PathwaysBiological EvolutionBiomarkersMarkov ChainsProteomeProteomicsTriglyceridesBiomarkersProteomeTriglyceridesEnergy reserveEvolutionHidden Markov modelMetabolic pathwayProteome

Identifiers

PMID31151997
PMCPMC6686919
OpenAlexW2952476726

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.