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Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F(2) progeny

BACKGROUND: Melampsora spp. rusts are the greatest pathogen threat to shrub willow (Salix spp.) bioenergy crops. Genetic resistance is key to limit the effects of these foliar diseases on host response and biomass yield, however, the genetic basis of host resistance has not been characterized. The a...

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Autores principales: Wilkerson, Dustin G., Crowell, Chase R., Carlson, Craig H., McMullen, Patrick W., Smart, Christine D., Smart, Lawrence B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783449/
https://www.ncbi.nlm.nih.gov/pubmed/35065596
http://dx.doi.org/10.1186/s12864-021-08254-1
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author Wilkerson, Dustin G.
Crowell, Chase R.
Carlson, Craig H.
McMullen, Patrick W.
Smart, Christine D.
Smart, Lawrence B.
author_facet Wilkerson, Dustin G.
Crowell, Chase R.
Carlson, Craig H.
McMullen, Patrick W.
Smart, Christine D.
Smart, Lawrence B.
author_sort Wilkerson, Dustin G.
collection PubMed
description BACKGROUND: Melampsora spp. rusts are the greatest pathogen threat to shrub willow (Salix spp.) bioenergy crops. Genetic resistance is key to limit the effects of these foliar diseases on host response and biomass yield, however, the genetic basis of host resistance has not been characterized. The addition of new genomic resources for Salix provides greater power to investigate the interaction between S. purpurea and M. americana, species commonly found in the Northeast US. Here, we utilize 3′ RNA-seq to investigate host-pathogen interactions following controlled inoculations of M. americana on resistant and susceptible F(2) S. purpurea genotypes identified in a recent QTL mapping study. Differential gene expression, network analysis, and eQTL mapping were used to contrast the response to inoculation and to identify associated candidate genes. RESULTS: Controlled inoculation in a replicated greenhouse study identified 19 and 105 differentially expressed genes between resistant and susceptible genotypes at 42 and 66 HPI, respectively. Defense response gene networks were activated in both resistant and susceptible genotypes and enriched for many of the same defense response genes, yet the hub genes of these common response modules showed greater mean expression among the resistant plants. Further, eight and six eQTL hotspots were identified at 42 and 66 HPI, respectively. The combined results of three analyses highlight 124 candidate genes in the host for further analysis while analysis of pathogen RNA showed differential expression of 22 genes, two of which are candidate pathogen effectors. CONCLUSIONS: We identified two differentially expressed M. americana transcripts and 124 S. purpurea genes that are good candidates for future studies to confirm their role in conferring resistance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-08254-1.
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spelling pubmed-87834492022-01-24 Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F(2) progeny Wilkerson, Dustin G. Crowell, Chase R. Carlson, Craig H. McMullen, Patrick W. Smart, Christine D. Smart, Lawrence B. BMC Genomics Research BACKGROUND: Melampsora spp. rusts are the greatest pathogen threat to shrub willow (Salix spp.) bioenergy crops. Genetic resistance is key to limit the effects of these foliar diseases on host response and biomass yield, however, the genetic basis of host resistance has not been characterized. The addition of new genomic resources for Salix provides greater power to investigate the interaction between S. purpurea and M. americana, species commonly found in the Northeast US. Here, we utilize 3′ RNA-seq to investigate host-pathogen interactions following controlled inoculations of M. americana on resistant and susceptible F(2) S. purpurea genotypes identified in a recent QTL mapping study. Differential gene expression, network analysis, and eQTL mapping were used to contrast the response to inoculation and to identify associated candidate genes. RESULTS: Controlled inoculation in a replicated greenhouse study identified 19 and 105 differentially expressed genes between resistant and susceptible genotypes at 42 and 66 HPI, respectively. Defense response gene networks were activated in both resistant and susceptible genotypes and enriched for many of the same defense response genes, yet the hub genes of these common response modules showed greater mean expression among the resistant plants. Further, eight and six eQTL hotspots were identified at 42 and 66 HPI, respectively. The combined results of three analyses highlight 124 candidate genes in the host for further analysis while analysis of pathogen RNA showed differential expression of 22 genes, two of which are candidate pathogen effectors. CONCLUSIONS: We identified two differentially expressed M. americana transcripts and 124 S. purpurea genes that are good candidates for future studies to confirm their role in conferring resistance. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-08254-1. BioMed Central 2022-01-22 /pmc/articles/PMC8783449/ /pubmed/35065596 http://dx.doi.org/10.1186/s12864-021-08254-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wilkerson, Dustin G.
Crowell, Chase R.
Carlson, Craig H.
McMullen, Patrick W.
Smart, Christine D.
Smart, Lawrence B.
Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F(2) progeny
title Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F(2) progeny
title_full Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F(2) progeny
title_fullStr Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F(2) progeny
title_full_unstemmed Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F(2) progeny
title_short Comparative transcriptomics and eQTL mapping of response to Melampsora americana in selected Salix purpurea F(2) progeny
title_sort comparative transcriptomics and eqtl mapping of response to melampsora americana in selected salix purpurea f(2) progeny
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783449/
https://www.ncbi.nlm.nih.gov/pubmed/35065596
http://dx.doi.org/10.1186/s12864-021-08254-1
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