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Comparative Genomics Integrated with Association Analysis Identifies Candidate Effector Genes Corresponding to Lr20 in Phenotype-Paired Puccinia triticina Isolates from Australia

Overview of attention for article published in Frontiers in Plant Science, February 2017
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  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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Title
Comparative Genomics Integrated with Association Analysis Identifies Candidate Effector Genes Corresponding to Lr20 in Phenotype-Paired Puccinia triticina Isolates from Australia
Published in
Frontiers in Plant Science, February 2017
DOI 10.3389/fpls.2017.00148
Pubmed ID
Authors

Jing Qin Wu, Sharadha Sakthikumar, Chongmei Dong, Peng Zhang, Christina A. Cuomo, Robert F. Park

Abstract

Leaf rust is one of the most common and damaging diseases of wheat, and is caused by an obligate biotrophic basidiomycete, Puccinia triticina (Pt). In the present study, 20 Pt isolates from Australia, comprising 10 phenotype-matched pairs with contrasting pathogenicity for Lr20, were analyzed using whole genome sequencing. Compared to the reference genome of the American Pt isolate 1-1 BBBD Race 1, an average of 404,690 single nucleotide polymorphisms (SNPs) per isolate was found and the proportion of heterozygous SNPs was above 87% in the majority of the isolates, demonstrating a high level of polymorphism and a high rate of heterozygosity. From the genome-wide SNPs, a phylogenetic tree was inferred, which consisted of a large clade of 15 isolates representing diverse presumed clonal lineages including 14 closely related isolates and the more diverged isolate 670028, and a small clade of five isolates characterized by lower heterozygosity level. Principle component analysis detected three distinct clusters, corresponding exactly to the two major subsets of the small clade and the large clade comprising all 15 isolates without further separation of isolate 670028. While genome-wide association analysis identified 302 genes harboring at least one SNP associated with Lr20 virulence (p < 0.05), a Wilcoxon rank sum test revealed that 36 and 68 genes had significant (p < 0.05) and marginally significant (p < 0.1) differences in the counts of non-synonymous mutations between Lr20 avirulent and virulent groups, respectively. Twenty of these genes were predicted to have a signal peptide without a transmembrane segment, and hence identified as candidate effector genes corresponding to Lr20. SNP analysis also implicated the potential involvement of epigenetics and small RNA in Pt pathogenicity. Future studies are thus warranted to investigate the biological functions of the candidate effectors as well as the gene regulation mechanisms at epigenetic and post-transcription levels. Our study is the first to integrate phenotype-genotype association with effector prediction in Pt genomes, an approach that may circumvent some of the technical difficulties in working with obligate rust fungi and accelerate avirulence gene identification.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 45 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 26%
Researcher 8 17%
Student > Master 4 9%
Student > Bachelor 3 7%
Professor 3 7%
Other 6 13%
Unknown 10 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 52%
Biochemistry, Genetics and Molecular Biology 5 11%
Immunology and Microbiology 3 7%
Medicine and Dentistry 2 4%
Arts and Humanities 1 2%
Other 1 2%
Unknown 10 22%
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 26 March 2017.
All research outputs
#6,418,449
of 23,779,713 outputs
Outputs from Frontiers in Plant Science
#3,459
of 21,854 outputs
Outputs of similar age
#119,098
of 423,896 outputs
Outputs of similar age from Frontiers in Plant Science
#85
of 493 outputs
Altmetric has tracked 23,779,713 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 21,854 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 83% 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 423,896 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 71% of its contemporaries.
We're also able to compare this research output to 493 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.