Evidence map›Paper›PMID 38695578›Full record

ArticlemSystems2024

From genome to evolution: investigating type II methylotrophs using a pangenomic analysis.

Dipayan Samanta, Shailabh Rauniyar, Priya Saxena, Rajesh K Sani

Open access · goldAbstract read
In one paragraph

Article in mSystems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

4 authors at 1 institution in 1 country.

Dipayan SamantaDepartment of Chemical and Biological Engineering, South Dakota School of Mines and Technology, Rapid City, South Dakota, USA.ORCID 0009-0008-9006-6682
Shailabh RauniyarDepartment of Chemical and Biological Engineering, South Dakota School of Mines and Technology, Rapid City, South Dakota, USA.
Priya SaxenaDepartment of Chemical and Biological Engineering, South Dakota School of Mines and Technology, Rapid City, South Dakota, USA.
Rajesh K SaniDepartment of Chemical and Biological Engineering, South Dakota School of Mines and Technology, Rapid City, South Dakota, USA.ORCID 0000-0002-5493-252X
South Dakota School of Mines and Technology · US

Funding

National Science Foundation (NSF) 1736255National Science Foundation (NSF) 1736255, 1849206, 1920954National Science Foundation (NSF) 1849206National Science Foundation (NSF) 1920954
6 · The paper itself

Abstract

A comprehensive pangenomic approach was employed to analyze the genomes of 75 type II methylotrophs spanning various genera. Our investigation revealed 256 exact core gene families shared by all 75 organisms, emphasizing their crucial role in the survival and adaptability of these organisms. Additionally, we predicted the functionality of 12 hypothetical proteins. The analysis unveiled a diverse array of genes associated with key metabolic pathways, including methane, serine, glyoxylate, and ethylmalonyl-CoA (EMC) metabolic pathways. While all selected organisms possessed essential genes for the serine pathway, IMPORTANCE: Methylotrophs have played a significant role in methane-based product production for many years. However, a comprehensive investigation into the diverse genetic architectures across different genera of methylotrophs has been lacking. This study fills this knowledge gap by enhancing our understanding of core hypothetical proteins and unique enzymes involved in methane oxidation, serine, glyoxylate, and ethylmalonyl-CoA pathways. These findings provide a valuable reference for researchers working with other methylotrophic species. Furthermore, this study not only unveils distinctive gene characteristics and phylogenetic relationships but also suggests a reclassification for

Indexed as

Genome, BacterialPhylogenyAcyl Coenzyme ABacterial ProteinsEvolution, MolecularGenomicsGlyoxylatesMetabolic Networks and PathwaysMethaneSerineAcyl Coenzyme ABacterial Proteinsethylmalonyl-coenzyme AGlyoxylatesglyoxylic acidMethaneSerinehypothetical proteinsisozymesmethanepersistentPPanGOLLiNserine pathway

Identifiers

PMID38695578
PMCPMC11237726
OpenAlexW4396580433

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.