Evidence map›Paper›PMID 31337658›Full record

ArticlemSystems2019

Genomic Evidence for Simultaneous Optimization of Transcription and Translation through Codon Variants in the

Juan C Villada, Maria F Duran, Patrick K H Lee

Open access · goldAbstract read
In one paragraph

Article in mSystems, 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
0.6field-weighted citation impact, top 33% 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, 11 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

3 authors at 1 institution in 1 country.

Juan C VilladaSchool of Energy and Environment, City University of Hong Kong, Kowloon, Hong Kong SAR, China.ORCID https://orcid.org/0000-0003-2216-4279
Maria F DuranSchool of Energy and Environment, City University of Hong Kong, Kowloon, Hong Kong SAR, China.ORCID https://orcid.org/0000-0001-8598-0172
Patrick K H LeeSchool of Energy and Environment, City University of Hong Kong, Kowloon, Hong Kong SAR, China patrick.kh.lee@cityu.edu.hk.ORCID https://orcid.org/0000-0003-0911-5317
City University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the interplay between genotype and phenotype is a fundamental goal of functional genomics. Methane oxidation is a microbial phenotype with global-scale significance as part of the carbon biogeochemical cycle and a sink for greenhouse gas. Microorganisms that oxidize methane (methanotrophs) are taxonomically diverse and widespread around the globe. In methanotrophic bacteria, enzymes in the methane oxidation metabolic module (KEGG module M00174, conversion of methane to formaldehyde) are encoded in four operons (

Indexed as

codon usagemethane monooxygenaseresource allocationsynthesis costtranslation efficiency

Identifiers

PMID31337658
PMCPMC6650546
OpenAlexW2963002792

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.