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Comparative genomics and prediction of conditionally dispensable sequences in legume–infecting Fusarium oxysporum formae speciales facilitates identification of candidate effectors

Overview of attention for article published in BMC Genomics, March 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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Title
Comparative genomics and prediction of conditionally dispensable sequences in legume–infecting Fusarium oxysporum formae speciales facilitates identification of candidate effectors
Published in
BMC Genomics, March 2016
DOI 10.1186/s12864-016-2486-8
Pubmed ID
Authors

Angela H. Williams, Mamta Sharma, Louise F. Thatcher, Sarwar Azam, James K. Hane, Jana Sperschneider, Brendan N. Kidd, Jonathan P. Anderson, Raju Ghosh, Gagan Garg, Judith Lichtenzveig, H. Corby Kistler, Terrance Shea, Sarah Young, Sally-Anne G. Buck, Lars G. Kamphuis, Rachit Saxena, Suresh Pande, Li-Jun Ma, Rajeev K. Varshney, Karam B. Singh

Abstract

Soil-borne fungi of the Fusarium oxysporum species complex cause devastating wilt disease on many crops including legumes that supply human dietary protein needs across many parts of the globe. We present and compare draft genome assemblies for three legume-infecting formae speciales (ff. spp.): F. oxysporum f. sp. ciceris (Foc-38-1) and f. sp. pisi (Fop-37622), significant pathogens of chickpea and pea respectively, the world's second and third most important grain legumes, and lastly f. sp. medicaginis (Fom-5190a) for which we developed a model legume pathosystem utilising Medicago truncatula. Focusing on the identification of pathogenicity gene content, we leveraged the reference genomes of Fusarium pathogens F. oxysporum f. sp. lycopersici (tomato-infecting) and F. solani (pea-infecting) and their well-characterised core and dispensable chromosomes to predict genomic organisation in the newly sequenced legume-infecting isolates. Dispensable chromosomes are not essential for growth and in Fusarium species are known to be enriched in host-specificity and pathogenicity-associated genes. Comparative genomics of the publicly available Fusarium species revealed differential patterns of sequence conservation across F. oxysporum formae speciales, with legume-pathogenic formae speciales not exhibiting greater sequence conservation between them relative to non-legume-infecting formae speciales, possibly indicating the lack of a common ancestral source for legume pathogenicity. Combining predicted dispensable gene content with in planta expression in the model legume-infecting isolate, we identified small conserved regions and candidate effectors, four of which shared greatest similarity to proteins from another legume-infecting ff. spp. We demonstrate that distinction of core and potential dispensable genomic regions of novel F. oxysporum genomes is an effective tool to facilitate effector discovery and the identification of gene content possibly linked to host specificity. While the legume-infecting isolates didn't share large genomic regions of pathogenicity-related content, smaller regions and candidate effector proteins were highly conserved, suggesting that they may play specific roles in inducing disease on legume hosts.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 <1%
Netherlands 1 <1%
Australia 1 <1%
Unknown 154 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 24%
Researcher 25 16%
Student > Master 19 12%
Student > Bachelor 13 8%
Other 8 5%
Other 24 15%
Unknown 31 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 90 57%
Biochemistry, Genetics and Molecular Biology 16 10%
Immunology and Microbiology 3 2%
Computer Science 3 2%
Unspecified 2 1%
Other 7 4%
Unknown 36 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 13 September 2016.
All research outputs
#4,446,330
of 25,055,009 outputs
Outputs from BMC Genomics
#1,665
of 11,152 outputs
Outputs of similar age
#63,047
of 304,993 outputs
Outputs of similar age from BMC Genomics
#35
of 213 outputs
Altmetric has tracked 25,055,009 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,152 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 84% 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 304,993 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 79% of its contemporaries.
We're also able to compare this research output to 213 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.