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Pathogen-regulated genes in wheat isogenic lines differing in resistance to brown rust Puccinia triticina

Overview of attention for article published in BMC Genomics, October 2015
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Title
Pathogen-regulated genes in wheat isogenic lines differing in resistance to brown rust Puccinia triticina
Published in
BMC Genomics, October 2015
DOI 10.1186/s12864-015-1932-3
Pubmed ID
Authors

Marta Dmochowska-Boguta, Sylwia Alaba, Yuliya Yanushevska, Urszula Piechota, Elzbieta Lasota, Anna Nadolska-Orczyk, Wojciech M. Karlowski, Waclaw Orczyk

Abstract

Inoculation of wheat plants with Puccinia triticina (Pt) spores activates a wide range of host responses. Compatible Pt interaction with susceptible Thatcher plants supports all stages of the pathogen life cycle. Incompatible interaction with TcLr9 activates defense responses including oxidative burst and micronecrotic reactions associated with the pathogen's infection structures and leads to complete termination of pathogen development. These two contrasting host-pathogen interactions were a foundation for transcriptome analysis of incompatible wheat-Pt interaction. A suppression subtractive hybridization (SSH) library was constructed using cDNA from pathogen-inoculated susceptible Thatcher and resistant TcLr9 isogenic lines. cDNA represented steps of wheat-brown rust interactions: spore germination, haustorium mother cell (HMC) formation and micronecrotic reactions. All ESTs were clustered and validated by similarity search to wheat genome using BLASTn and sim4db tools. qRT-PCR was used to determine transcript levels of selected ESTs after inoculation in both lines. Out of 793 isolated cDNA clones, 183 were classified into 152 contigs. 89 cDNA clones and encoded proteins were functionally annotated and assigned to 5 Gene Ontology categories: catalytic activity 48 clones (54 %), binding 32 clones (36 %), transporter activity 6 clones (7 %), structural molecule activity 2 clones (2 %) and molecular transducer activity 1 clone (1 %). Detailed expression profiles of 8 selected clones were analyzed using the same plant-pathogen system. The strongest induction after pathogen infection and the biggest differences between resistant and susceptible interactions were detected for clones encoding wall-associated kinase (GenBank accession number JG969003), receptor with leucine-rich repeat domain (JG968955), putative serine/threonine protein kinase (JG968944), calcium-mediated signaling protein (JG968925) and 14-3-3 protein (JG968969). The SSH library represents transcripts regulated by pathogen infection during compatible and incompatible interactions of wheat with P. triticina. Annotation of selected clones confirms their putative roles in successive steps of plant-pathogen interactions. The transcripts can be categorized as defense-related due to their involvement in either basal defense or resistance through an R-gene mediated reaction. The possible involvement of selected clones in pathogen recognition and pathogen-induced signaling as well as resistance mechanisms such as cell wall enforcement, oxidative burst and micronecrotic reactions is discussed.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 28%
Researcher 6 14%
Student > Doctoral Student 3 7%
Student > Bachelor 3 7%
Student > Master 3 7%
Other 7 16%
Unknown 9 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 56%
Biochemistry, Genetics and Molecular Biology 5 12%
Environmental Science 2 5%
Business, Management and Accounting 1 2%
Nursing and Health Professions 1 2%
Other 1 2%
Unknown 9 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 June 2016.
All research outputs
#18,428,159
of 22,829,683 outputs
Outputs from BMC Genomics
#8,183
of 10,655 outputs
Outputs of similar age
#199,641
of 277,499 outputs
Outputs of similar age from BMC Genomics
#320
of 361 outputs
Altmetric has tracked 22,829,683 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,655 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 361 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.