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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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Autores principales: Chriki-Adeeb, Rim, Chriki, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4856229/
https://www.ncbi.nlm.nih.gov/pubmed/27168719
http://dx.doi.org/10.4137/EBO.S39070
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author Chriki-Adeeb, Rim
Chriki, Ali
author_facet Chriki-Adeeb, Rim
Chriki, Ali
author_sort Chriki-Adeeb, Rim
collection PubMed
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 nodIJ 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.
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spelling pubmed-48562292016-05-10 Estimating Divergence Times and Substitution Rates in Rhizobia Chriki-Adeeb, Rim Chriki, Ali Evol Bioinform Online Original Research 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 nodIJ 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. Libertas Academica 2016-05-03 /pmc/articles/PMC4856229/ /pubmed/27168719 http://dx.doi.org/10.4137/EBO.S39070 Text en © 2016 the author(s), publisher and licensee Libertas Academica Ltd. This is an open-access article distributed under the terms of the Creative Commons CC-BY-NC 3.0 License.
spellingShingle Original Research
Chriki-Adeeb, Rim
Chriki, Ali
Estimating Divergence Times and Substitution Rates in Rhizobia
title 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_short Estimating Divergence Times and Substitution Rates in Rhizobia
title_sort estimating divergence times and substitution rates in rhizobia
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4856229/
https://www.ncbi.nlm.nih.gov/pubmed/27168719
http://dx.doi.org/10.4137/EBO.S39070
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