↓ Skip to main content

The host-pathogen interaction between wheat and yellow rust induces temporally coordinated waves of gene expression

Overview of attention for article published in BMC Genomics, May 2016
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
19 X users
facebook
2 Facebook pages

Citations

dimensions_citation
110 Dimensions

Readers on

mendeley
155 Mendeley
Title
The host-pathogen interaction between wheat and yellow rust induces temporally coordinated waves of gene expression
Published in
BMC Genomics, May 2016
DOI 10.1186/s12864-016-2684-4
Pubmed ID
Authors

Albor Dobon, Daniel C. E. Bunting, Luis Enrique Cabrera-Quio, Cristobal Uauy, Diane G. O. Saunders

Abstract

Understanding how plants and pathogens modulate gene expression during the host-pathogen interaction is key to uncovering the molecular mechanisms that regulate disease progression. Recent advances in sequencing technologies have provided new opportunities to decode the complexity of such interactions. In this study, we used an RNA-based sequencing approach (RNA-seq) to assess the global expression profiles of the wheat yellow rust pathogen Puccinia striiformis f. sp. tritici (PST) and its host during infection. We performed a detailed RNA-seq time-course for a susceptible and a resistant wheat host infected with PST. This study (i) defined the global gene expression profiles for PST and its wheat host, (ii) substantially improved the gene models for PST, (iii) evaluated the utility of several programmes for quantification of global gene expression for PST and wheat, and (iv) identified clusters of differentially expressed genes in the host and pathogen. By focusing on components of the defence response in susceptible and resistant hosts, we were able to visualise the effect of PST infection on the expression of various defence components and host immune receptors. Our data showed sequential, temporally coordinated activation and suppression of expression of a suite of immune-response regulators that varied between compatible and incompatible interactions. These findings provide the framework for a better understanding of how PST causes disease and support the idea that PST can suppress the expression of defence components in wheat to successfully colonize a susceptible host.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Brazil 1 <1%
Canada 1 <1%
Mexico 1 <1%
Denmark 1 <1%
United States 1 <1%
Unknown 149 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 28%
Researcher 25 16%
Student > Master 24 15%
Student > Bachelor 9 6%
Student > Doctoral Student 5 3%
Other 17 11%
Unknown 32 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 96 62%
Biochemistry, Genetics and Molecular Biology 18 12%
Computer Science 4 3%
Business, Management and Accounting 1 <1%
Environmental Science 1 <1%
Other 2 1%
Unknown 33 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 26 March 2020.
All research outputs
#2,835,568
of 24,378,986 outputs
Outputs from BMC Genomics
#884
of 10,965 outputs
Outputs of similar age
#48,090
of 339,372 outputs
Outputs of similar age from BMC Genomics
#21
of 197 outputs
Altmetric has tracked 24,378,986 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,965 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 339,372 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 197 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.