Differential Gene Expression Analysis of Wheat Breeding Lines Reveal Molecular Insights in Yellow Rust Resistance under Field Conditions

The evolution of pathogens in the changing climate raises new challenges for wheat production. Yellow rust is one of the major wheat diseases worldwide, leading to an increased use of fungicides to prevent significant yield losses. The enhancement of the resistance potential of wheat cultivars is a...

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Main Authors: Sandeep Kumar Kushwaha, Ramesh R. Vetukuri, Firuz Odilbekov, Nidhi Pareek, Tina Henriksson, Aakash Chawade
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Agronomy
Subjects:
Online Access:https://www.mdpi.com/2073-4395/10/12/1888
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spelling doaj-d03c42206c7d408aaf70ad36908846ef2021-04-02T17:31:56ZengMDPI AGAgronomy2073-43952020-11-01101888188810.3390/agronomy10121888Differential Gene Expression Analysis of Wheat Breeding Lines Reveal Molecular Insights in Yellow Rust Resistance under Field ConditionsSandeep Kumar Kushwaha0Ramesh R. Vetukuri1Firuz Odilbekov2Nidhi Pareek3Tina Henriksson4Aakash Chawade5Department of Plant Breeding, Swedish University of Agricultural Sciences, 230 53 Alnarp, SwedenDepartment of Plant Breeding, Swedish University of Agricultural Sciences, 230 53 Alnarp, SwedenDepartment of Plant Breeding, Swedish University of Agricultural Sciences, 230 53 Alnarp, SwedenDepartment of Microbiology, School of Life Sciences, Central University of Rajasthan, Bandarsindri, Kishangarh, Ajmer, Rajasthan 305801, IndiaLantmännen Lantbruk, 268 31 Svalöv, SwedenDepartment of Plant Breeding, Swedish University of Agricultural Sciences, 230 53 Alnarp, SwedenThe evolution of pathogens in the changing climate raises new challenges for wheat production. Yellow rust is one of the major wheat diseases worldwide, leading to an increased use of fungicides to prevent significant yield losses. The enhancement of the resistance potential of wheat cultivars is a necessary and environmentally friendly solution for sustainable wheat production. In this study, we aimed to identify the differentially expressed genes induced upon yellow rust infection in the field. Reference and de novo based transcriptome analysis was performed among the resistant and susceptible lines of a bi-parental population to study the global transcriptome changes in contrasting wheat genotypes. Based on the analysis, the de novo transcriptome analysis approach was found to be more supportive for field studies. Expression profiles, gene ontology, KEGG pathway analysis and enrichment studies indicated the relation between differentially expressed genes of wheat and yellow rust infection. The h0igh expression of genes related to non-race specific resistance along with pathogen-specific resistance might be a reason for the better resistance ability of a resistant wheat genotype in the field. The targeted metagenomic analysis of wheat samples revealed that <i>Puccinia </i><i>striiformis</i><i> </i><i>tritici</i> was the most dominant pathogen along with other pathogens on the collected leaf material and validating the disease scoring carried out in the field and transcriptomics analyses.https://www.mdpi.com/2073-4395/10/12/1888wheatyellow rustdisease resistancetranscriptomicsdifferential gene expression
collection DOAJ
language English
format Article
sources DOAJ
author Sandeep Kumar Kushwaha
Ramesh R. Vetukuri
Firuz Odilbekov
Nidhi Pareek
Tina Henriksson
Aakash Chawade
spellingShingle Sandeep Kumar Kushwaha
Ramesh R. Vetukuri
Firuz Odilbekov
Nidhi Pareek
Tina Henriksson
Aakash Chawade
Differential Gene Expression Analysis of Wheat Breeding Lines Reveal Molecular Insights in Yellow Rust Resistance under Field Conditions
Agronomy
wheat
yellow rust
disease resistance
transcriptomics
differential gene expression
author_facet Sandeep Kumar Kushwaha
Ramesh R. Vetukuri
Firuz Odilbekov
Nidhi Pareek
Tina Henriksson
Aakash Chawade
author_sort Sandeep Kumar Kushwaha
title Differential Gene Expression Analysis of Wheat Breeding Lines Reveal Molecular Insights in Yellow Rust Resistance under Field Conditions
title_short Differential Gene Expression Analysis of Wheat Breeding Lines Reveal Molecular Insights in Yellow Rust Resistance under Field Conditions
title_full Differential Gene Expression Analysis of Wheat Breeding Lines Reveal Molecular Insights in Yellow Rust Resistance under Field Conditions
title_fullStr Differential Gene Expression Analysis of Wheat Breeding Lines Reveal Molecular Insights in Yellow Rust Resistance under Field Conditions
title_full_unstemmed Differential Gene Expression Analysis of Wheat Breeding Lines Reveal Molecular Insights in Yellow Rust Resistance under Field Conditions
title_sort differential gene expression analysis of wheat breeding lines reveal molecular insights in yellow rust resistance under field conditions
publisher MDPI AG
series Agronomy
issn 2073-4395
publishDate 2020-11-01
description The evolution of pathogens in the changing climate raises new challenges for wheat production. Yellow rust is one of the major wheat diseases worldwide, leading to an increased use of fungicides to prevent significant yield losses. The enhancement of the resistance potential of wheat cultivars is a necessary and environmentally friendly solution for sustainable wheat production. In this study, we aimed to identify the differentially expressed genes induced upon yellow rust infection in the field. Reference and de novo based transcriptome analysis was performed among the resistant and susceptible lines of a bi-parental population to study the global transcriptome changes in contrasting wheat genotypes. Based on the analysis, the de novo transcriptome analysis approach was found to be more supportive for field studies. Expression profiles, gene ontology, KEGG pathway analysis and enrichment studies indicated the relation between differentially expressed genes of wheat and yellow rust infection. The h0igh expression of genes related to non-race specific resistance along with pathogen-specific resistance might be a reason for the better resistance ability of a resistant wheat genotype in the field. The targeted metagenomic analysis of wheat samples revealed that <i>Puccinia </i><i>striiformis</i><i> </i><i>tritici</i> was the most dominant pathogen along with other pathogens on the collected leaf material and validating the disease scoring carried out in the field and transcriptomics analyses.
topic wheat
yellow rust
disease resistance
transcriptomics
differential gene expression
url https://www.mdpi.com/2073-4395/10/12/1888
work_keys_str_mv AT sandeepkumarkushwaha differentialgeneexpressionanalysisofwheatbreedinglinesrevealmolecularinsightsinyellowrustresistanceunderfieldconditions
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