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Mining microsatellites in the peach genome: development of new long-core SSR markers for genetic analyses in five Prunus species

Overview of attention for article published in SpringerPlus, July 2015
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Title
Mining microsatellites in the peach genome: development of new long-core SSR markers for genetic analyses in five Prunus species
Published in
SpringerPlus, July 2015
DOI 10.1186/s40064-015-1098-0
Pubmed ID
Authors

Maria Teresa Dettori, Sabrina Micali, Jessica Giovinazzi, Simone Scalabrin, Ignazio Verde, Guido Cipriani

Abstract

A wide inventory of molecular markers is nowadays available for individual fingerprinting. Microsatellites, or simple sequence repeats (SSRs), play a relevant role due to their relatively ease of use, their abundance in the plant genomes, and their co-dominant nature, together with the availability of primer sequences in many important agricultural crops. Microsatellites with long-core motifs are more easily scored and were adopted long ago in human genetics but they were developed only in few crops, and Prunus species are not among them. In the present work the peach whole-genome sequence was used to select 216 SSRs containing long-core motifs with tri-, tetra- and penta-nucleotide repeats. Microsatellite primer pairs were designed and tested for polymorphism in the five diploid Prunus species of economic relevance (almond, apricot, Japanese plum, peach and sweet cherry). A set of 26 microsatellite markers covering all the eight chromosomes, was also selected and used in the molecular characterization, population genetics and structure analyses of a representative sample of the five diploid Prunus species, assessing their transportability and effectiveness. The combined probability of identity between two random individuals for the whole set of 26 SSRs was quite low, ranging from 2.30 × 10(-7) in peach to 9.48 × 10(-10) in almond, confirming the usefulness of the proposed set for fingerprinting analyses in Prunus species.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Czechia 1 2%
Unknown 53 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 19%
Researcher 9 17%
Student > Master 7 13%
Student > Ph. D. Student 5 9%
Student > Doctoral Student 4 7%
Other 10 19%
Unknown 9 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 61%
Biochemistry, Genetics and Molecular Biology 4 7%
Unspecified 1 2%
Environmental Science 1 2%
Computer Science 1 2%
Other 4 7%
Unknown 10 19%
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 10 July 2015.
All research outputs
#20,282,766
of 22,816,807 outputs
Outputs from SpringerPlus
#1,461
of 1,851 outputs
Outputs of similar age
#219,678
of 262,950 outputs
Outputs of similar age from SpringerPlus
#78
of 99 outputs
Altmetric has tracked 22,816,807 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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