Estimating Divergence Times and Substitution Rates in Rhizobia

Accurate estimation of divergence times of soil bacteria that form nitrogen-fixing associations with most leguminous plants is challenging because of a limited fossil record and complexities associated with molecular clocks and phylogenetic diversity of root nodule bacteria, collectively called rhiz...

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Main Authors: Rim Chriki-Adeeb, Ali Chriki
Format: Article
Language:English
Published: SAGE Publishing 2016-01-01
Series:Evolutionary Bioinformatics
Online Access:https://doi.org/10.4137/EBO.S39070
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spelling doaj-7cb144f5ef8c40bca52332dbe530d0372020-11-25T04:08:57ZengSAGE PublishingEvolutionary Bioinformatics1176-93432016-01-011210.4137/EBO.S39070Estimating Divergence Times and Substitution Rates in RhizobiaRim Chriki-Adeeb0Ali Chriki1Département de Biologie, Laboratoire de Génétique, Faculté des Sciences de Bizerte, Jarzouna, Tunisie.Département de Biologie, Laboratoire de Génétique, Faculté des Sciences de Bizerte, Jarzouna, Tunisie.Accurate estimation of divergence times of soil bacteria that form nitrogen-fixing associations with most leguminous plants is challenging because of a limited fossil record and complexities associated with molecular clocks and phylogenetic diversity of root nodule bacteria, collectively called rhizobia. To overcome the lack of fossil record in bacteria, divergence times of host legumes were used to calibrate molecular clocks and perform phylogenetic analyses in rhizobia. The 16S rRNA gene and intergenic spacer region remain among the favored molecular markers to reconstruct the timescale of rhizobia. We evaluate the performance of the random local clock model and the classical uncorrelated lognormal relaxed clock model, in combination with four tree models (coalescent constant size, birth–death, birth–death incomplete sampling, and Yule processes) on rhizobial divergence time estimates. Bayes factor tests based on the marginal likelihoods estimated from the stepping-stone sampling analyses strongly favored the random local clock model in combination with Yule process. Our results on the divergence time estimation from 16S rRNA gene and intergenic spacer region sequences are compatible with age estimates based on the conserved core genes but significantly older than those obtained from symbiotic genes, such as nod IJ genes. This difference may be due to the accelerated evolutionary rates of symbiotic genes compared to those of other genomic regions not directly implicated in nodulation processes.https://doi.org/10.4137/EBO.S39070
collection DOAJ
language English
format Article
sources DOAJ
author Rim Chriki-Adeeb
Ali Chriki
spellingShingle Rim Chriki-Adeeb
Ali Chriki
Estimating Divergence Times and Substitution Rates in Rhizobia
Evolutionary Bioinformatics
author_facet Rim Chriki-Adeeb
Ali Chriki
author_sort Rim Chriki-Adeeb
title Estimating Divergence Times and Substitution Rates in Rhizobia
title_short Estimating Divergence Times and Substitution Rates in Rhizobia
title_full Estimating Divergence Times and Substitution Rates in Rhizobia
title_fullStr Estimating Divergence Times and Substitution Rates in Rhizobia
title_full_unstemmed Estimating Divergence Times and Substitution Rates in Rhizobia
title_sort estimating divergence times and substitution rates in rhizobia
publisher SAGE Publishing
series Evolutionary Bioinformatics
issn 1176-9343
publishDate 2016-01-01
description Accurate estimation of divergence times of soil bacteria that form nitrogen-fixing associations with most leguminous plants is challenging because of a limited fossil record and complexities associated with molecular clocks and phylogenetic diversity of root nodule bacteria, collectively called rhizobia. To overcome the lack of fossil record in bacteria, divergence times of host legumes were used to calibrate molecular clocks and perform phylogenetic analyses in rhizobia. The 16S rRNA gene and intergenic spacer region remain among the favored molecular markers to reconstruct the timescale of rhizobia. We evaluate the performance of the random local clock model and the classical uncorrelated lognormal relaxed clock model, in combination with four tree models (coalescent constant size, birth–death, birth–death incomplete sampling, and Yule processes) on rhizobial divergence time estimates. Bayes factor tests based on the marginal likelihoods estimated from the stepping-stone sampling analyses strongly favored the random local clock model in combination with Yule process. Our results on the divergence time estimation from 16S rRNA gene and intergenic spacer region sequences are compatible with age estimates based on the conserved core genes but significantly older than those obtained from symbiotic genes, such as nod IJ genes. This difference may be due to the accelerated evolutionary rates of symbiotic genes compared to those of other genomic regions not directly implicated in nodulation processes.
url https://doi.org/10.4137/EBO.S39070
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