Literature DB >> 36083445

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

Sishuo Wang1, Haiwei Luo2.   

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.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Alphaproteobacteria; Mitochondria; Mitochondrial endosymbiosis; Molecular dating; Relaxed molecular clock; Rickettsiales

Mesh:

Year:  2022        PMID: 36083445     DOI: 10.1007/978-1-0716-2691-7_5

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  59 in total

1.  Computational inference of scenarios for alpha-proteobacterial genome evolution.

Authors:  Bastien Boussau; E Olof Karlberg; A Carolin Frank; Boris-Antoine Legault; Siv G E Andersson
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-21       Impact factor: 11.205

2.  The alpha-proteobacteria: the Darwin finches of the bacterial world.

Authors:  Thijs J G Ettema; Siv G E Andersson
Journal:  Biol Lett       Date:  2009-03-11       Impact factor: 3.703

3.  A major clade of prokaryotes with ancient adaptations to life on land.

Authors:  Fabia U Battistuzzi; S Blair Hedges
Journal:  Mol Biol Evol       Date:  2008-11-06       Impact factor: 16.240

Review 4.  Establishing nitrogen-fixing symbiosis with legumes: how many rhizobium recipes?

Authors:  Catherine Masson-Boivin; Eric Giraud; Xavier Perret; Jacques Batut
Journal:  Trends Microbiol       Date:  2009-09-18       Impact factor: 17.079

5.  Spontaneous mutations of a model heterotrophic marine bacterium.

Authors:  Ying Sun; Kate E Powell; Way Sung; Michael Lynch; Mary Ann Moran; Haiwei Luo
Journal:  ISME J       Date:  2017-03-21       Impact factor: 10.302

6.  Horizontal gene transfer constrains the timing of methanogen evolution.

Authors:  Joanna M Wolfe; Gregory P Fournier
Journal:  Nat Ecol Evol       Date:  2018-04-02       Impact factor: 15.460

7.  A genomic timescale of prokaryote evolution: insights into the origin of methanogenesis, phototrophy, and the colonization of land.

Authors:  Fabia U Battistuzzi; Andreia Feijao; S Blair Hedges
Journal:  BMC Evol Biol       Date:  2004-11-09       Impact factor: 3.260

8.  Evolution of divergent life history strategies in marine alphaproteobacteria.

Authors:  Haiwei Luo; Miklós Csuros; Austin L Hughes; Mary Ann Moran
Journal:  MBio       Date:  2013-07-09       Impact factor: 7.867

9.  Gene transfers can date the tree of life.

Authors:  Adrián A Davín; Eric Tannier; Tom A Williams; Bastien Boussau; Vincent Daubin; Gergely J Szöllősi
Journal:  Nat Ecol Evol       Date:  2018-04-02       Impact factor: 15.460

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.