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Simple sequence repeat markers that identify Claviceps species and strains

Overview of attention for article published in Fungal Biology and Biotechnology, January 2016
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Title
Simple sequence repeat markers that identify Claviceps species and strains
Published in
Fungal Biology and Biotechnology, January 2016
DOI 10.1186/s40694-016-0019-5
Pubmed ID
Authors

Barbara S. Gilmore, Stephen C. Alderman, Brian J. Knaus, Nahla V. Bassil, Ruth C. Martin, James E. Dombrowski, Jeremiah K. S. Dung

Abstract

Claviceps purpurea is a pathogen that infects most members of Pooideae, a subfamily of Poaceae, and causes ergot, a floral disease in which the ovary is replaced with a sclerotium. When the ergot body is accidently consumed by either man or animal in high enough quantities, there is extreme pain, limb loss and sometimes death. This study was initiated to develop simple sequence repeat (SSRs) markers for rapid identification of C. purpurea. SSRs were designed from sequence data stored at the National Center for Biotechnology Information database. The study consisted of 74 ergot isolates, from four different host species, Lolium perenne, Poa pratensis, Bromus inermis, and Secale cereale plus three additional Claviceps species, C. pusilla, C. paspali and C.fusiformis. Samples were collected from six different counties in Oregon and Washington over a 5-year period. Thirty-four SSR markers were selected, which enabled the differentiation of each isolate from one another based solely on their molecular fingerprints. Discriminant analysis of principle components was used to identify four isolate groups, CA Group 1, 2, 3, and 4, for subsequent cluster and molecular variance analyses. CA Group 1 consisting of eight isolates from the host species P. pratensis, was separated on the cluster analysis plot from the remaining three groups and this group was later identified as C. humidiphila. The other three groups were distinct from one another, but closely related. These three groups contained samples from all four of the host species. These SSRs are simple to use, reliable and allowed clear differentiation of C. humidiphila from C. purpurea. Isolates from the three separate species, C. pusilla, C. paspali and C.fusiformis, also amplified with these markers. The SSR markers developed in this study will be helpful in defining the population structure and genetics of Claviceps strains. They will also provide valuable tools for plant breeders needing to identify resistance in crops or for researchers examining fungal movements across environments.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 18%
Student > Doctoral Student 2 12%
Student > Bachelor 2 12%
Researcher 2 12%
Student > Master 2 12%
Other 1 6%
Unknown 5 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 53%
Biochemistry, Genetics and Molecular Biology 1 6%
Immunology and Microbiology 1 6%
Unknown 6 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 January 2016.
All research outputs
#15,355,821
of 22,842,950 outputs
Outputs from Fungal Biology and Biotechnology
#115
of 140 outputs
Outputs of similar age
#232,247
of 395,863 outputs
Outputs of similar age from Fungal Biology and Biotechnology
#2
of 2 outputs
Altmetric has tracked 22,842,950 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 140 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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 395,863 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.