Cargando…

A novel approach for multi-domain and multi-gene family identification provides insights into evolutionary dynamics of disease resistance genes in core eudicot plants

BACKGROUND: Recent advances in DNA sequencing techniques resulted in more than forty sequenced plant genomes representing a diverse set of taxa of agricultural, energy, medicinal and ecological importance. However, gene family curation is often only inferred from DNA sequence homology and lacks insi...

Descripción completa

Detalles Bibliográficos
Autores principales: Hofberger, Johannes A, Zhou, Beifei, Tang, Haibao, Jones, Jonathan DG, Schranz, M Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4289383/
https://www.ncbi.nlm.nih.gov/pubmed/25380807
http://dx.doi.org/10.1186/1471-2164-15-966
_version_ 1782352107336105984
author Hofberger, Johannes A
Zhou, Beifei
Tang, Haibao
Jones, Jonathan DG
Schranz, M Eric
author_facet Hofberger, Johannes A
Zhou, Beifei
Tang, Haibao
Jones, Jonathan DG
Schranz, M Eric
author_sort Hofberger, Johannes A
collection PubMed
description BACKGROUND: Recent advances in DNA sequencing techniques resulted in more than forty sequenced plant genomes representing a diverse set of taxa of agricultural, energy, medicinal and ecological importance. However, gene family curation is often only inferred from DNA sequence homology and lacks insights into evolutionary processes contributing to gene family dynamics. In a comparative genomics framework, we integrated multiple lines of evidence provided by gene synteny, sequence homology and protein-based Hidden Markov Modelling to extract homologous super-clusters composed of multi-domain resistance (R)-proteins of the NB-LRR type (for NUCLEOTIDE BINDING/LEUCINE-RICH REPEATS), that are involved in plant innate immunity. RESULTS: To assess the diversity of R-proteins within and between species, we screened twelve eudicot plant genomes including six major crops and found a total of 2,363 NB-LRR genes. Our curated R-proteins set shows a 50% average for tandem duplicates and a 22% fraction of gene copies retained from ancient polyploidy events (ohnologs). We provide evidence for strong positive selection and show significant differences in molecular evolution rates (Ka/Ks-ratio) among tandem- (mean = 1.59), ohnolog (mean = 1.36) and singleton (mean = 1.22) R-gene duplicates. To foster the process of gene-edited plant breeding, we report species-specific presence/absence of all 140 NB-LRR genes present in the model plant Arabidopsis and describe four distinct clusters of NB-LRR “gatekeeper” loci sharing syntenic orthologs across all analyzed genomes. CONCLUSION: By curating a near-complete set of multi-domain R-protein clusters in an eudicot-wide scale, our analysis offers significant insight into evolutionary dynamics underlying diversification of the plant innate immune system. Furthermore, our methods provide a blueprint for future efforts to identify and more rapidly clone functional NB-LRR genes from any plant species. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-966) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4289383
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-42893832015-01-11 A novel approach for multi-domain and multi-gene family identification provides insights into evolutionary dynamics of disease resistance genes in core eudicot plants Hofberger, Johannes A Zhou, Beifei Tang, Haibao Jones, Jonathan DG Schranz, M Eric BMC Genomics Research Article BACKGROUND: Recent advances in DNA sequencing techniques resulted in more than forty sequenced plant genomes representing a diverse set of taxa of agricultural, energy, medicinal and ecological importance. However, gene family curation is often only inferred from DNA sequence homology and lacks insights into evolutionary processes contributing to gene family dynamics. In a comparative genomics framework, we integrated multiple lines of evidence provided by gene synteny, sequence homology and protein-based Hidden Markov Modelling to extract homologous super-clusters composed of multi-domain resistance (R)-proteins of the NB-LRR type (for NUCLEOTIDE BINDING/LEUCINE-RICH REPEATS), that are involved in plant innate immunity. RESULTS: To assess the diversity of R-proteins within and between species, we screened twelve eudicot plant genomes including six major crops and found a total of 2,363 NB-LRR genes. Our curated R-proteins set shows a 50% average for tandem duplicates and a 22% fraction of gene copies retained from ancient polyploidy events (ohnologs). We provide evidence for strong positive selection and show significant differences in molecular evolution rates (Ka/Ks-ratio) among tandem- (mean = 1.59), ohnolog (mean = 1.36) and singleton (mean = 1.22) R-gene duplicates. To foster the process of gene-edited plant breeding, we report species-specific presence/absence of all 140 NB-LRR genes present in the model plant Arabidopsis and describe four distinct clusters of NB-LRR “gatekeeper” loci sharing syntenic orthologs across all analyzed genomes. CONCLUSION: By curating a near-complete set of multi-domain R-protein clusters in an eudicot-wide scale, our analysis offers significant insight into evolutionary dynamics underlying diversification of the plant innate immune system. Furthermore, our methods provide a blueprint for future efforts to identify and more rapidly clone functional NB-LRR genes from any plant species. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-15-966) contains supplementary material, which is available to authorized users. BioMed Central 2014-11-08 /pmc/articles/PMC4289383/ /pubmed/25380807 http://dx.doi.org/10.1186/1471-2164-15-966 Text en © Hofberger et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Hofberger, Johannes A
Zhou, Beifei
Tang, Haibao
Jones, Jonathan DG
Schranz, M Eric
A novel approach for multi-domain and multi-gene family identification provides insights into evolutionary dynamics of disease resistance genes in core eudicot plants
title A novel approach for multi-domain and multi-gene family identification provides insights into evolutionary dynamics of disease resistance genes in core eudicot plants
title_full A novel approach for multi-domain and multi-gene family identification provides insights into evolutionary dynamics of disease resistance genes in core eudicot plants
title_fullStr A novel approach for multi-domain and multi-gene family identification provides insights into evolutionary dynamics of disease resistance genes in core eudicot plants
title_full_unstemmed A novel approach for multi-domain and multi-gene family identification provides insights into evolutionary dynamics of disease resistance genes in core eudicot plants
title_short A novel approach for multi-domain and multi-gene family identification provides insights into evolutionary dynamics of disease resistance genes in core eudicot plants
title_sort novel approach for multi-domain and multi-gene family identification provides insights into evolutionary dynamics of disease resistance genes in core eudicot plants
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4289383/
https://www.ncbi.nlm.nih.gov/pubmed/25380807
http://dx.doi.org/10.1186/1471-2164-15-966
work_keys_str_mv AT hofbergerjohannesa anovelapproachformultidomainandmultigenefamilyidentificationprovidesinsightsintoevolutionarydynamicsofdiseaseresistancegenesincoreeudicotplants
AT zhoubeifei anovelapproachformultidomainandmultigenefamilyidentificationprovidesinsightsintoevolutionarydynamicsofdiseaseresistancegenesincoreeudicotplants
AT tanghaibao anovelapproachformultidomainandmultigenefamilyidentificationprovidesinsightsintoevolutionarydynamicsofdiseaseresistancegenesincoreeudicotplants
AT jonesjonathandg anovelapproachformultidomainandmultigenefamilyidentificationprovidesinsightsintoevolutionarydynamicsofdiseaseresistancegenesincoreeudicotplants
AT schranzmeric anovelapproachformultidomainandmultigenefamilyidentificationprovidesinsightsintoevolutionarydynamicsofdiseaseresistancegenesincoreeudicotplants
AT hofbergerjohannesa novelapproachformultidomainandmultigenefamilyidentificationprovidesinsightsintoevolutionarydynamicsofdiseaseresistancegenesincoreeudicotplants
AT zhoubeifei novelapproachformultidomainandmultigenefamilyidentificationprovidesinsightsintoevolutionarydynamicsofdiseaseresistancegenesincoreeudicotplants
AT tanghaibao novelapproachformultidomainandmultigenefamilyidentificationprovidesinsightsintoevolutionarydynamicsofdiseaseresistancegenesincoreeudicotplants
AT jonesjonathandg novelapproachformultidomainandmultigenefamilyidentificationprovidesinsightsintoevolutionarydynamicsofdiseaseresistancegenesincoreeudicotplants
AT schranzmeric novelapproachformultidomainandmultigenefamilyidentificationprovidesinsightsintoevolutionarydynamicsofdiseaseresistancegenesincoreeudicotplants