Evidence map›Paper›PMID 30755173›Full record

ArticleBMC genomics2019

A comparative transcriptome analysis of the novel obligate methanotroph Methylomonas sp. DH-1 reveals key differences in transcriptional responses in C1 and secondary metabolite pathways during growth on methane and methanol.

Anh Duc Nguyen, Donghyuk Kim, Eun Yeol Lee

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

26 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
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  3. Linking microbes toFrontiers in microbiology · 2026
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  11. Transcriptional and metabolomic responses ofFrontiers in microbiology · 2023
    Article
  12. Review
  13. Article
  14. Multispecies Populations of MethanotrophicApplied and environmental microbiology · 2022
    Article
  15. Article
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  17. Article
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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

3 authors at 2 institutions in 1 country.

Anh Duc NguyenDepartment of Chemical Engineering, Kyung Hee University, Yongin, 17104, Republic of Korea.
Donghyuk KimSchool of Energy and Chemical Engineering & School of Biological Sciences, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea. dkim@unist.ac.kr.
Eun Yeol LeeDepartment of Chemical Engineering, Kyung Hee University, Yongin, 17104, Republic of Korea. eunylee@khu.ac.kr.
Kyung Hee University · KRUlsan National Institute of Science and Technology · KR

Funding

National Research Foundation of Korea 2015M3D3A1A01064882Ulsan National Institute of Science and Technology (KR) 1.180074.01
6 · The paper itself

Abstract

backgroundMethanotrophs play an important role in biotechnological applications, with their ability to utilize single carbon (C1) feedstock such as methane and methanol to produce a range of high-value compounds. A newly isolated obligate methanotroph strain, Methylomonas sp. DH-1, became a platform strain for biotechnological applications because it has proven capable of producing chemicals, fuels, and secondary metabolites from methane and methanol. In this study, transcriptome analysis with RNA-seq was used to investigate the transcriptional change of Methylomonas sp. DH-1 on methane and methanol. This was done to improve knowledge about C1 assimilation and secondary metabolite pathways in this promising, but under-characterized, methane-bioconversion strain.

resultsWe integrated genomic and transcriptomic analysis of the newly isolated Methylomonas sp. DH-1 grown on methane and methanol. Detailed transcriptomic analysis indicated that (i) Methylomonas sp. DH-1 possesses the ribulose monophosphate (RuMP) cycle and the Embden-Meyerhof-Parnas (EMP) pathway, which can serve as main pathways for C1 assimilation, (ii) the existence and the expression of a complete serine cycle and a complete tricarboxylic acid (TCA) cycle might contribute to methane conversion and energy production, and (iii) the highly active endogenous plasmid pDH1 may code for essential metabolic processes. Comparative transcriptomic analysis on methane and methanol as a sole carbon source revealed different transcriptional responses of Methylomonas sp. DH-1, especially in C1 assimilation, secondary metabolite pathways, and oxidative stress. Especially, these results suggest a shift of central metabolism when substrate changed from methane to methanol in which formaldehyde oxidation pathway and serine cycle carried more flux to produce acetyl-coA and NADH. Meanwhile, downregulation of TCA cycle when grown on methanol may suggest a shift of its main function is to provide de novo biosynthesis, but not produce NADH.

conclusionsThis study provides insights into the transcriptomic profile of Methylomonas sp. DH-1 grown on major carbon sources for C1 assimilation, providing in-depth knowledge on the metabolic pathways of this strain. These observations and analyses can contribute to future metabolic engineering with the newly isolated, yet under-characterized, Methylomonas sp. DH-1 to enhance its biochemical application in relevant industries.

Indexed as

Transcription, GeneticBacterial ProteinsCarbonCarotenoidsCitric Acid CycleFormaldehydeGene Expression ProfilingGlycolysisMetabolic EngineeringMetabolic Networks and PathwaysMethaneMethanolMethylomonasOxidative StressPentosesSerineBacterial ProteinsCarbonCarotenoidsFormaldehydehopaneMethaneMethanolPentosesribuloseSerineSolventsTriterpenesCarotenoid biosynthesis pathwayHopanoid biosynthesis pathwayMethanotrophRNA-seqRuMP cycleSerine cycleTCA

Identifiers

PMID30755173
PMCPMC6373157
OpenAlexW2947572922

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.