Evidence map›Paper›PMID 36083445›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Estimating the Divergence Times of Alphaproteobacteria Based on Mitochondrial Endosymbiosis and Eukaryotic Fossils.

Sishuo Wang, Haiwei Luo

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. 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, top 74% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

2 authors at 1 institution in 1 country.

Sishuo WangSimon F. S. Li Marine Science Laboratory, School of Life Sciences and State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Hong Kong SAR, China.
Haiwei LuoSchool of Life Sciences, Earth and Environmental Sciences Programme, and State Key Laboratory of Agrobiotechnology, The Chinese University of Hong Kong, Hong Kong SAR, China.
Chinese University of Hong Kong · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alphaproteobacteria is one of the most abundant bacterial lineages that successfully colonize diverse marine and terrestrial environments on Earth. In addition, many alphaproteobacterial lineages have established close association with eukaryotes. This makes Alphaproteobacteria a promising system to test the link between the emergence of ecologically important bacteria and related geological events and the co-evolution between symbiotic bacteria and their hosts. Understanding the timescale of evolution of Alphaproteobacteria is key to testing these hypotheses, which is limited by the scarcity of bacterial fossils, however. Based on the mitochondrial endosymbiosis which posits that the mitochondrion originated from an alphaproteobacterial lineage, we propose a new strategy to estimate the divergence times of lineages within the Alphaproteobacteria by leveraging the fossil records of eukaryotes. In this chapter, we describe the workflow of the mitochondria-based method to date Alphaproteobacteria evolution by detailing the software, methods, and commands used for each step. Visualization of data and results is also described. We also provide related notes with background information and alternative options. All codes used to build this protocol are made available to the public, and we strive to make this protocol user-friendly in particular to microbiologists with limited practical skills in bioinformatics.

Indexed as

AlphaproteobacteriaEukaryotaEvolution, MolecularFossilsMitochondriaPhylogenySymbiosisAlphaproteobacteriaMitochondriaMitochondrial endosymbiosisMolecular datingRelaxed molecular clockRickettsiales

Identifiers

PMID36083445
OpenAlexW4295079335

What OpenQuestion holds

Textmetadata
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.