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A plant pathology perspective of fungal genome sequencing

Overview of attention for article published in IMA Fungus, February 2017
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  • Good Attention Score compared to outputs of the same age (70th percentile)

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7 X users

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144 Mendeley
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Title
A plant pathology perspective of fungal genome sequencing
Published in
IMA Fungus, February 2017
DOI 10.5598/imafungus.2017.08.01.01
Pubmed ID
Authors

Janneke Aylward, Emma T. Steenkamp, Léanne L. Dreyer, Francois Roets, Brenda D. Wingfield, Michael J. Wingfield

Abstract

The majority of plant pathogens are fungi and many of these adversely affect food security. This mini-review aims to provide an analysis of the plant pathogenic fungi for which genome sequences are publically available, to assess their general genome characteristics, and to consider how genomics has impacted plant pathology. A list of sequenced fungal species was assembled, the taxonomy of all species verified, and the potential reason for sequencing each of the species considered. The genomes of 1090 fungal species are currently (October 2016) in the public domain and this number is rapidly rising. Pathogenic species comprised the largest category (35.5 %) and, amongst these, plant pathogens are predominant. Of the 191 plant pathogenic fungal species with available genomes, 61.3 % cause diseases on food crops, more than half of which are staple crops. The genomes of plant pathogens are slightly larger than those of other fungal species sequenced to date and they contain fewer coding sequences in relation to their genome size. Both of these factors can be attributed to the expansion of repeat elements. Sequenced genomes of plant pathogens provide blueprints from which potential virulence factors were identified and from which genes associated with different pathogenic strategies could be predicted. Genome sequences have also made it possible to evaluate adaptability of pathogen genomes and genomic regions that experience selection pressures. Some genomic patterns, however, remain poorly understood and plant pathogen genomes alone are not sufficient to unravel complex pathogen-host interactions. Genomes, therefore, cannot replace experimental studies that can be complex and tedious. Ultimately, the most promising application lies in using fungal plant pathogen genomics to inform disease management and risk assessment strategies. This will ultimately minimize the risks of future disease outbreaks and assist in preparation for emerging pathogen outbreaks.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 143 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 24%
Researcher 20 14%
Student > Master 16 11%
Student > Doctoral Student 11 8%
Student > Bachelor 11 8%
Other 18 13%
Unknown 34 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 61 42%
Biochemistry, Genetics and Molecular Biology 22 15%
Environmental Science 4 3%
Nursing and Health Professions 2 1%
Arts and Humanities 2 1%
Other 9 6%
Unknown 44 31%
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 22 August 2017.
All research outputs
#7,000,448
of 25,382,440 outputs
Outputs from IMA Fungus
#82
of 254 outputs
Outputs of similar age
#122,742
of 424,566 outputs
Outputs of similar age from IMA Fungus
#1
of 3 outputs
Altmetric has tracked 25,382,440 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 254 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has gotten more attention than average, scoring higher than 67% 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 424,566 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 70% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them