Cargando…

Failure to Recover Major Events of Gene Flux in Real Biological Data Due to Method Misapplication

In prokaryotes, known mechanisms of lateral gene transfer (transformation, transduction, conjugation, and gene transfer agents) generate new combinations of genes among chromosomes during evolution. In eukaryotes, whose host lineage is descended from archaea, lateral gene transfer from organelles to...

Descripción completa

Detalles Bibliográficos
Autores principales: Kapust, Nils, Nelson-Sathi, Shijulal, Schönfeld, Barbara, Hazkani-Covo, Einat, Bryant, David, Lockhart, Peter J, Röttger, Mayo, Xavier, Joana C, Martin, William F
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928405/
https://www.ncbi.nlm.nih.gov/pubmed/29718211
http://dx.doi.org/10.1093/gbe/evy080
_version_ 1783319239240712192
author Kapust, Nils
Nelson-Sathi, Shijulal
Schönfeld, Barbara
Hazkani-Covo, Einat
Bryant, David
Lockhart, Peter J
Röttger, Mayo
Xavier, Joana C
Martin, William F
author_facet Kapust, Nils
Nelson-Sathi, Shijulal
Schönfeld, Barbara
Hazkani-Covo, Einat
Bryant, David
Lockhart, Peter J
Röttger, Mayo
Xavier, Joana C
Martin, William F
author_sort Kapust, Nils
collection PubMed
description In prokaryotes, known mechanisms of lateral gene transfer (transformation, transduction, conjugation, and gene transfer agents) generate new combinations of genes among chromosomes during evolution. In eukaryotes, whose host lineage is descended from archaea, lateral gene transfer from organelles to the nucleus occurs at endosymbiotic events. Recent genome analyses studying gene distributions have uncovered evidence for sporadic, discontinuous events of gene transfer from bacteria to archaea during evolution. Other studies have used traditional models designed to investigate gene family size evolution (Count) to support claims that gene transfer to archaea was continuous during evolution, rather than involving occasional periodic mass gene influx events. Here, we show that the methodology used in analyses favoring continuous gene transfers to archaea was misapplied in other studies and does not recover known events of single simultaneous origin for many genes followed by differential loss in real data: plastid genomes. Using the same software and the same settings, we reanalyzed presence/absence pattern data for proteins encoded in plastid genomes and for eukaryotic protein families acquired from plastids. Contrary to expectations under a plastid origin model, we found that the methodology employed inferred that gene acquisitions occurred uniformly across the plant tree. Sometimes as many as nine different acquisitions by plastid DNA were inferred for the same protein family. That is, the methodology that recovered gradual and continuous lateral gene transfer among lineages for archaea obtains the same result for plastids, even though it is known that massive gains followed by gradual differential loss is the true evolutionary process that generated plastid gene distribution data. Our findings caution against the use of models designed to study gene family size evolution for investigating gene transfer processes, especially when transfers involving more than one gene per event are possible.
format Online
Article
Text
id pubmed-5928405
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-59284052018-05-04 Failure to Recover Major Events of Gene Flux in Real Biological Data Due to Method Misapplication Kapust, Nils Nelson-Sathi, Shijulal Schönfeld, Barbara Hazkani-Covo, Einat Bryant, David Lockhart, Peter J Röttger, Mayo Xavier, Joana C Martin, William F Genome Biol Evol Research Article In prokaryotes, known mechanisms of lateral gene transfer (transformation, transduction, conjugation, and gene transfer agents) generate new combinations of genes among chromosomes during evolution. In eukaryotes, whose host lineage is descended from archaea, lateral gene transfer from organelles to the nucleus occurs at endosymbiotic events. Recent genome analyses studying gene distributions have uncovered evidence for sporadic, discontinuous events of gene transfer from bacteria to archaea during evolution. Other studies have used traditional models designed to investigate gene family size evolution (Count) to support claims that gene transfer to archaea was continuous during evolution, rather than involving occasional periodic mass gene influx events. Here, we show that the methodology used in analyses favoring continuous gene transfers to archaea was misapplied in other studies and does not recover known events of single simultaneous origin for many genes followed by differential loss in real data: plastid genomes. Using the same software and the same settings, we reanalyzed presence/absence pattern data for proteins encoded in plastid genomes and for eukaryotic protein families acquired from plastids. Contrary to expectations under a plastid origin model, we found that the methodology employed inferred that gene acquisitions occurred uniformly across the plant tree. Sometimes as many as nine different acquisitions by plastid DNA were inferred for the same protein family. That is, the methodology that recovered gradual and continuous lateral gene transfer among lineages for archaea obtains the same result for plastids, even though it is known that massive gains followed by gradual differential loss is the true evolutionary process that generated plastid gene distribution data. Our findings caution against the use of models designed to study gene family size evolution for investigating gene transfer processes, especially when transfers involving more than one gene per event are possible. Oxford University Press 2018-04-18 /pmc/articles/PMC5928405/ /pubmed/29718211 http://dx.doi.org/10.1093/gbe/evy080 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Research Article
Kapust, Nils
Nelson-Sathi, Shijulal
Schönfeld, Barbara
Hazkani-Covo, Einat
Bryant, David
Lockhart, Peter J
Röttger, Mayo
Xavier, Joana C
Martin, William F
Failure to Recover Major Events of Gene Flux in Real Biological Data Due to Method Misapplication
title Failure to Recover Major Events of Gene Flux in Real Biological Data Due to Method Misapplication
title_full Failure to Recover Major Events of Gene Flux in Real Biological Data Due to Method Misapplication
title_fullStr Failure to Recover Major Events of Gene Flux in Real Biological Data Due to Method Misapplication
title_full_unstemmed Failure to Recover Major Events of Gene Flux in Real Biological Data Due to Method Misapplication
title_short Failure to Recover Major Events of Gene Flux in Real Biological Data Due to Method Misapplication
title_sort failure to recover major events of gene flux in real biological data due to method misapplication
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928405/
https://www.ncbi.nlm.nih.gov/pubmed/29718211
http://dx.doi.org/10.1093/gbe/evy080
work_keys_str_mv AT kapustnils failuretorecovermajoreventsofgenefluxinrealbiologicaldataduetomethodmisapplication
AT nelsonsathishijulal failuretorecovermajoreventsofgenefluxinrealbiologicaldataduetomethodmisapplication
AT schonfeldbarbara failuretorecovermajoreventsofgenefluxinrealbiologicaldataduetomethodmisapplication
AT hazkanicovoeinat failuretorecovermajoreventsofgenefluxinrealbiologicaldataduetomethodmisapplication
AT bryantdavid failuretorecovermajoreventsofgenefluxinrealbiologicaldataduetomethodmisapplication
AT lockhartpeterj failuretorecovermajoreventsofgenefluxinrealbiologicaldataduetomethodmisapplication
AT rottgermayo failuretorecovermajoreventsofgenefluxinrealbiologicaldataduetomethodmisapplication
AT xavierjoanac failuretorecovermajoreventsofgenefluxinrealbiologicaldataduetomethodmisapplication
AT martinwilliamf failuretorecovermajoreventsofgenefluxinrealbiologicaldataduetomethodmisapplication