Cargando…
Identification of a core set of rhizobial infection genes using data from single cell-types
Genome-wide expression studies on nodulation have varied in their scale from entire root systems to dissected nodules or root sections containing nodule primordia (NP). More recently efforts have focused on developing methods for isolation of root hairs from infected plants and the application of la...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4517396/ https://www.ncbi.nlm.nih.gov/pubmed/26284091 http://dx.doi.org/10.3389/fpls.2015.00575 |
_version_ | 1782383182617772032 |
---|---|
author | Chen, Da-Song Liu, Cheng-Wu Roy, Sonali Cousins, Donna Stacey, Nicola Murray, Jeremy D. |
author_facet | Chen, Da-Song Liu, Cheng-Wu Roy, Sonali Cousins, Donna Stacey, Nicola Murray, Jeremy D. |
author_sort | Chen, Da-Song |
collection | PubMed |
description | Genome-wide expression studies on nodulation have varied in their scale from entire root systems to dissected nodules or root sections containing nodule primordia (NP). More recently efforts have focused on developing methods for isolation of root hairs from infected plants and the application of laser-capture microdissection technology to nodules. Here we analyze two published data sets to identify a core set of infection genes that are expressed in the nodule and in root hairs during infection. Among the genes identified were those encoding phenylpropanoid biosynthesis enzymes including Chalcone-O-Methyltransferase which is required for the production of the potent Nod gene inducer 4′,4-dihydroxy-2-methoxychalcone. A promoter-GUS analysis in transgenic hairy roots for two genes encoding Chalcone-O-Methyltransferase isoforms revealed their expression in rhizobially infected root hairs and the nodule infection zone but not in the nitrogen fixation zone. We also describe a group of Rhizobially Induced Peroxidases whose expression overlaps with the production of superoxide in rhizobially infected root hairs and in nodules and roots. Finally, we identify a cohort of co-regulated transcription factors as candidate regulators of these processes. |
format | Online Article Text |
id | pubmed-4517396 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-45173962015-08-17 Identification of a core set of rhizobial infection genes using data from single cell-types Chen, Da-Song Liu, Cheng-Wu Roy, Sonali Cousins, Donna Stacey, Nicola Murray, Jeremy D. Front Plant Sci Plant Science Genome-wide expression studies on nodulation have varied in their scale from entire root systems to dissected nodules or root sections containing nodule primordia (NP). More recently efforts have focused on developing methods for isolation of root hairs from infected plants and the application of laser-capture microdissection technology to nodules. Here we analyze two published data sets to identify a core set of infection genes that are expressed in the nodule and in root hairs during infection. Among the genes identified were those encoding phenylpropanoid biosynthesis enzymes including Chalcone-O-Methyltransferase which is required for the production of the potent Nod gene inducer 4′,4-dihydroxy-2-methoxychalcone. A promoter-GUS analysis in transgenic hairy roots for two genes encoding Chalcone-O-Methyltransferase isoforms revealed their expression in rhizobially infected root hairs and the nodule infection zone but not in the nitrogen fixation zone. We also describe a group of Rhizobially Induced Peroxidases whose expression overlaps with the production of superoxide in rhizobially infected root hairs and in nodules and roots. Finally, we identify a cohort of co-regulated transcription factors as candidate regulators of these processes. Frontiers Media S.A. 2015-07-28 /pmc/articles/PMC4517396/ /pubmed/26284091 http://dx.doi.org/10.3389/fpls.2015.00575 Text en Copyright © 2015 Chen, Liu, Roy, Cousins, Stacey and Murray. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Plant Science Chen, Da-Song Liu, Cheng-Wu Roy, Sonali Cousins, Donna Stacey, Nicola Murray, Jeremy D. Identification of a core set of rhizobial infection genes using data from single cell-types |
title | Identification of a core set of rhizobial infection genes using data from single cell-types |
title_full | Identification of a core set of rhizobial infection genes using data from single cell-types |
title_fullStr | Identification of a core set of rhizobial infection genes using data from single cell-types |
title_full_unstemmed | Identification of a core set of rhizobial infection genes using data from single cell-types |
title_short | Identification of a core set of rhizobial infection genes using data from single cell-types |
title_sort | identification of a core set of rhizobial infection genes using data from single cell-types |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4517396/ https://www.ncbi.nlm.nih.gov/pubmed/26284091 http://dx.doi.org/10.3389/fpls.2015.00575 |
work_keys_str_mv | AT chendasong identificationofacoresetofrhizobialinfectiongenesusingdatafromsinglecelltypes AT liuchengwu identificationofacoresetofrhizobialinfectiongenesusingdatafromsinglecelltypes AT roysonali identificationofacoresetofrhizobialinfectiongenesusingdatafromsinglecelltypes AT cousinsdonna identificationofacoresetofrhizobialinfectiongenesusingdatafromsinglecelltypes AT staceynicola identificationofacoresetofrhizobialinfectiongenesusingdatafromsinglecelltypes AT murrayjeremyd identificationofacoresetofrhizobialinfectiongenesusingdatafromsinglecelltypes |