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Transcriptome dynamics associated with resistance and susceptibility against fusarium head blight in four wheat genotypes

Overview of attention for article published in BMC Genomics, August 2018
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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Title
Transcriptome dynamics associated with resistance and susceptibility against fusarium head blight in four wheat genotypes
Published in
BMC Genomics, August 2018
DOI 10.1186/s12864-018-5012-3
Pubmed ID
Authors

Youlian Pan, Ziying Liu, Hélène Rocheleau, François Fauteux, Yunli Wang, Curt McCartney, Thérèse Ouellet

Abstract

Fusarium head blight (FHB) of wheat in North America is caused mostly by the fungal pathogen Fusarium graminearum (Fg). Upon exposure to Fg, wheat initiates a series of cellular responses involving massive transcriptional reprogramming. In this study, we analyzed transcriptomics data of four wheat genotypes (Nyubai, Wuhan 1, HC374, and Shaw), at 2 and 4 days post inoculation (dpi) with Fg, using RNA-seq technology. A total of 37,772 differentially expressed genes (DEGs) were identified, 28,961 from wheat and 8811 from the pathogen. The susceptible genotype Shaw exhibited the highest number of host and pathogen DEGs, including 2270 DEGs associating with FHB susceptibility. Protein serine/threonine kinases and LRR-RK were associated with susceptibility at 2 dpi, while several ethylene-responsive, WRKY, Myb, bZIP and NAC-domain containing transcription factors were associated with susceptibility at 4 dpi. In the three resistant genotypes, 220 DEGs were associated with resistance. Glutathione S-transferase (GST), membrane proteins and distinct LRR-RKs were associated with FHB resistance across the three genotypes. Genes with unique, high up-regulation by Fg in Wuhan 1 were mostly transiently expressed at 2 dpi, while many defense-associated genes were up-regulated at both 2 and 4 dpi in Nyubai; the majority of unique genes up-regulated in HC374 were detected at 4 dpi only. In the pathogen, most genes showed increased expression between 2 and 4 dpi in all genotypes, with stronger levels in the susceptible host; however two pectate lyases and a hydrolase were expressed higher at 2 dpi, and acetyltransferase activity was highly enriched at 4 dpi. There was an early up-regulation of LRR-RKs, different between susceptible and resistant genotypes; subsequently, distinct sets of genes associated with defense response were up-regulated. Differences in expression profiles among the resistant genotypes indicate genotype-specific defense mechanisms. This study also shows a greater resemblance in transcriptomics of HC374 to Nyubai, consistent with their sharing of two FHB resistance QTLs on 3BS and 5AS, compared to Wuhan 1 which carries one QTL on 2DL in common with HC374.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 20%
Researcher 16 19%
Student > Master 10 12%
Student > Bachelor 7 8%
Student > Doctoral Student 4 5%
Other 10 12%
Unknown 21 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 58%
Biochemistry, Genetics and Molecular Biology 11 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 1%
Computer Science 1 1%
Economics, Econometrics and Finance 1 1%
Other 0 0%
Unknown 22 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 24 December 2020.
All research outputs
#6,027,768
of 23,263,851 outputs
Outputs from BMC Genomics
#2,463
of 10,735 outputs
Outputs of similar age
#104,768
of 335,661 outputs
Outputs of similar age from BMC Genomics
#45
of 185 outputs
Altmetric has tracked 23,263,851 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 10,735 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 76% 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 335,661 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 185 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.