Unlocking a signal of introgression from codons in Lachancea kluyveri using a mutation-selection model

Abstract Background For decades, codon usage has been used as a measure of adaptation for translational efficiency and translation accuracy of a gene’s coding sequence. These patterns of codon usage reflect both the selective and mutational environment in which the coding sequences evolved. Over thi...

Full description

Bibliographic Details
Main Authors: Cedric Landerer, Brian C. O’Meara, Russell Zaretzki, Michael A. Gilchrist
Format: Article
Language:English
Published: BMC 2020-08-01
Series:BMC Evolutionary Biology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12862-020-01649-w
_version_ 1818653244661956608
author Cedric Landerer
Brian C. O’Meara
Russell Zaretzki
Michael A. Gilchrist
author_facet Cedric Landerer
Brian C. O’Meara
Russell Zaretzki
Michael A. Gilchrist
author_sort Cedric Landerer
collection DOAJ
description Abstract Background For decades, codon usage has been used as a measure of adaptation for translational efficiency and translation accuracy of a gene’s coding sequence. These patterns of codon usage reflect both the selective and mutational environment in which the coding sequences evolved. Over this same period, gene transfer between lineages has become widely recognized as an important biological phenomenon. Nevertheless, most studies of codon usage implicitly assume that all genes within a genome evolved under the same selective and mutational environment, an assumption violated when introgression occurs. In order to better understand the effects of introgression on codon usage patterns and vice versa, we examine the patterns of codon usage in Lachancea kluyveri, a yeast which has experienced a large introgression. We quantify the effects of mutation bias and selection for translation efficiency on the codon usage pattern of the endogenous and introgressed exogenous genes using a Bayesian mixture model, ROC SEMPPR, which is built on mechanistic assumptions about protein synthesis and grounded in population genetics. Results We find substantial differences in codon usage between the endogenous and exogenous genes, and show that these differences can be largely attributed to differences in mutation bias favoring A/T ending codons in the endogenous genes while favoring C/G ending codons in the exogenous genes. Recognizing the two different signatures of mutation bias and selection improves our ability to predict protein synthesis rate by 42% and allowed us to accurately assess the decaying signal of endogenous codon mutation and preferences. In addition, using our estimates of mutation bias and selection, we identify Eremothecium gossypii as the closest relative to the exogenous genes, providing an alternative hypothesis about the origin of the exogenous genes, estimate that the introgression occurred ∼6×108 generation ago, and estimate its historic and current selection against mismatched codon usage. Conclusions Our work illustrates how mechanistic, population genetic models like ROC SEMPPR can separate the effects of mutation and selection on codon usage and provide quantitative estimates from sequence data.
first_indexed 2024-12-17T02:34:49Z
format Article
id doaj.art-761c12e8a700455aac31bca704d49b7a
institution Directory Open Access Journal
issn 1471-2148
language English
last_indexed 2024-12-17T02:34:49Z
publishDate 2020-08-01
publisher BMC
record_format Article
series BMC Evolutionary Biology
spelling doaj.art-761c12e8a700455aac31bca704d49b7a2022-12-21T22:06:53ZengBMCBMC Evolutionary Biology1471-21482020-08-0120111410.1186/s12862-020-01649-wUnlocking a signal of introgression from codons in Lachancea kluyveri using a mutation-selection modelCedric Landerer0Brian C. O’Meara1Russell Zaretzki2Michael A. Gilchrist3Department of Ecology & Evolutionary Biology, University of TennesseeDepartment of Ecology & Evolutionary Biology, University of TennesseeNational Institute for Mathematical and Biological SynthesisDepartment of Ecology & Evolutionary Biology, University of TennesseeAbstract Background For decades, codon usage has been used as a measure of adaptation for translational efficiency and translation accuracy of a gene’s coding sequence. These patterns of codon usage reflect both the selective and mutational environment in which the coding sequences evolved. Over this same period, gene transfer between lineages has become widely recognized as an important biological phenomenon. Nevertheless, most studies of codon usage implicitly assume that all genes within a genome evolved under the same selective and mutational environment, an assumption violated when introgression occurs. In order to better understand the effects of introgression on codon usage patterns and vice versa, we examine the patterns of codon usage in Lachancea kluyveri, a yeast which has experienced a large introgression. We quantify the effects of mutation bias and selection for translation efficiency on the codon usage pattern of the endogenous and introgressed exogenous genes using a Bayesian mixture model, ROC SEMPPR, which is built on mechanistic assumptions about protein synthesis and grounded in population genetics. Results We find substantial differences in codon usage between the endogenous and exogenous genes, and show that these differences can be largely attributed to differences in mutation bias favoring A/T ending codons in the endogenous genes while favoring C/G ending codons in the exogenous genes. Recognizing the two different signatures of mutation bias and selection improves our ability to predict protein synthesis rate by 42% and allowed us to accurately assess the decaying signal of endogenous codon mutation and preferences. In addition, using our estimates of mutation bias and selection, we identify Eremothecium gossypii as the closest relative to the exogenous genes, providing an alternative hypothesis about the origin of the exogenous genes, estimate that the introgression occurred ∼6×108 generation ago, and estimate its historic and current selection against mismatched codon usage. Conclusions Our work illustrates how mechanistic, population genetic models like ROC SEMPPR can separate the effects of mutation and selection on codon usage and provide quantitative estimates from sequence data.http://link.springer.com/article/10.1186/s12862-020-01649-wCodon usagePopulation geneticsIntrogressionMutationSelection
spellingShingle Cedric Landerer
Brian C. O’Meara
Russell Zaretzki
Michael A. Gilchrist
Unlocking a signal of introgression from codons in Lachancea kluyveri using a mutation-selection model
BMC Evolutionary Biology
Codon usage
Population genetics
Introgression
Mutation
Selection
title Unlocking a signal of introgression from codons in Lachancea kluyveri using a mutation-selection model
title_full Unlocking a signal of introgression from codons in Lachancea kluyveri using a mutation-selection model
title_fullStr Unlocking a signal of introgression from codons in Lachancea kluyveri using a mutation-selection model
title_full_unstemmed Unlocking a signal of introgression from codons in Lachancea kluyveri using a mutation-selection model
title_short Unlocking a signal of introgression from codons in Lachancea kluyveri using a mutation-selection model
title_sort unlocking a signal of introgression from codons in lachancea kluyveri using a mutation selection model
topic Codon usage
Population genetics
Introgression
Mutation
Selection
url http://link.springer.com/article/10.1186/s12862-020-01649-w
work_keys_str_mv AT cedriclanderer unlockingasignalofintrogressionfromcodonsinlachanceakluyveriusingamutationselectionmodel
AT briancomeara unlockingasignalofintrogressionfromcodonsinlachanceakluyveriusingamutationselectionmodel
AT russellzaretzki unlockingasignalofintrogressionfromcodonsinlachanceakluyveriusingamutationselectionmodel
AT michaelagilchrist unlockingasignalofintrogressionfromcodonsinlachanceakluyveriusingamutationselectionmodel