De novo assembled wheat transcriptomes delineate differentially expressed host genes in response to leaf rust infection

Chandra, Saket, Singh, Dharmendra, Pathak, Jyoti, Kumari, Supriya, Kumar, Manish, Poddar, Raju, Balyan, Harindra Singh, Gupta, Puspendra Kumar, Prabhu, Kumble Vinod and Mukhopadhyay, Kunal (2016) De novo assembled wheat transcriptomes delineate differentially expressed host genes in response to leaf rust infection. Plos One, 11 2: . doi:10.1371/journal.pone.0148453


Author Chandra, Saket
Singh, Dharmendra
Pathak, Jyoti
Kumari, Supriya
Kumar, Manish
Poddar, Raju
Balyan, Harindra Singh
Gupta, Puspendra Kumar
Prabhu, Kumble Vinod
Mukhopadhyay, Kunal
Title De novo assembled wheat transcriptomes delineate differentially expressed host genes in response to leaf rust infection
Formatted title
De novo assembled wheat transcriptomes delineate differentially expressed host genes in response to leaf rust infection
Journal name Plos One   Check publisher's open access policy
ISSN 1932-6203
Publication date 2016-02-03
Sub-type Article (original research)
DOI 10.1371/journal.pone.0148453
Open Access Status DOI
Volume 11
Issue 2
Total pages 26
Place of publication San Francisco, CA, United States
Publisher Public Library of Science
Language eng
Formatted abstract
Pathogens like Puccinia triticina, the causal organism for leaf rust, extensively damages wheat production. The interaction at molecular level between wheat and the pathogen is complex and less explored. The pathogen induced response was characterized using mock- or pathogen inoculated near-isogenic wheat lines (with or without seedling leaf rust resistance gene Lr28). Four Serial Analysis of Gene Expression libraries were prepared from mock- and pathogen inoculated plants and were subjected to Sequencing by Oligonucleotide Ligation and Detection, which generated a total of 165,767,777 reads, each 35 bases long. The reads were processed and multiple k-mers were attempted for de novo transcript assembly; 22 k-mers showed the best results. Altogether 21,345 contigs were generated and functionally characterized by gene ontology annotation, mining for transcription factors and resistance genes. Expression analysis among the four libraries showed extensive alterations in the transcriptome in response to pathogen infection, reflecting reorganizations in major biological processes and metabolic pathways. Role of auxin in determining pathogenesis in susceptible and resistant lines were imperative. The qPCR expression study of four LRR-RLK (Leucine-rich repeat receptor-like protein kinases) genes showed higher expression at 24 hrs after inoculation with pathogen. In summary, the conceptual model of induced resistance in wheat contributes insights on defense responses and imparts knowledge of Puccinia triticina-induced defense transcripts in wheat plants.
Keyword Triticum-aestivum L.
Rna-Seq data
Arabidopsis-thaliana
Defense responses
Biological networks
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ
Additional Notes Article number e0148453

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
Queensland Alliance for Agriculture and Food Innovation
 
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