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Development and characterization of microsatellite markers for diploid populations of the wind-pollinated herb Mercurialis annua

Overview of attention for article published in BMC Research Notes, August 2017
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Title
Development and characterization of microsatellite markers for diploid populations of the wind-pollinated herb Mercurialis annua
Published in
BMC Research Notes, August 2017
DOI 10.1186/s13104-017-2700-z
Pubmed ID
Authors

Ana Paula Machado, John R. Pannell, Jeanne Tonnabel

Abstract

Mercurialis annua is a wind-pollinated annual plant that has long been used as a model for the study of ploidy and sexual-systems evolution. However, no molecular markers are yet available for genetic studies of its diploid populations. Here, we develop and characterize a set of eight polymorphic microsatellite markers for diploid dioecious M. annua. Following an SSR-enrichment protocol, 13 microsatellite markers were proposed, eight of which yielded successful amplification and polymorphism. We screened the eight microsatellite loci in 100 individuals. The number of alleles per marker ranged from 6 to 12, and observed heterozygosity ranged from 0.57 to 0.76. To estimate potential allele scoring errors, these individuals' offspring were genotyped for the same loci, and error rates were estimated from parentage analyses. Error rates ranged from 0 to 6.8%. Cross-amplification tests were performed for congeneric M. huetti and M. canariensis, with successful amplification for seven and six of the eight loci, respectively. The novel microsatellite markers proposed here will be crucial for a multitude of genetic studies of M. annua and further establish its importance as a model species for addressing ecological and population genetic questions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 19%
Student > Ph. D. Student 3 19%
Student > Master 2 13%
Researcher 2 13%
Student > Bachelor 1 6%
Other 2 13%
Unknown 3 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 31%
Biochemistry, Genetics and Molecular Biology 5 31%
Unspecified 3 19%
Unknown 3 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 12 August 2017.
All research outputs
#17,911,821
of 22,997,544 outputs
Outputs from BMC Research Notes
#2,851
of 4,284 outputs
Outputs of similar age
#227,936
of 318,015 outputs
Outputs of similar age from BMC Research Notes
#90
of 154 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 29th percentile – i.e., 29% 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 318,015 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 154 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.