↓ Skip to main content

Isolation of microsatellite loci in the African tree species Staudtia kamerunensis (Myristicaceae) using high-throughput sequencing

Overview of attention for article published in Molecular Biology Reports, August 2018
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
4 X users

Readers on

mendeley
19 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Isolation of microsatellite loci in the African tree species Staudtia kamerunensis (Myristicaceae) using high-throughput sequencing
Published in
Molecular Biology Reports, August 2018
DOI 10.1007/s11033-018-4239-z
Pubmed ID
Authors

Samuel Vanden Abeele, Olivier J. Hardy, Steven B. Janssens

Abstract

Staudtia kamerunensis (Myristicaceae) or 'Niové' is an evergreen tree widespread in Central African moist forests. The bark and seeds are used in traditional medicine, yet the tree is mainly harvested for its high quality, multi-purpose timber. To facilitate sustainable harvesting and conservation of the species, we aim to develop microsatellite markers that can be used to study the mating system, gene flow, genetic diversity and population structure. Genomic DNA of S. kamerunensis was sequenced on an Illumina MiSeq platform, generating 195,720 paired-end reads with 3671 sequences containing microsatellites. Amplification tests resulted in the development of 16 highly polymorphic microsatellite loci of which 14 were tested in 183 individuals of S. kamerunensis from three populations. The number of detected alleles per locus ranged from 15 to 39 and the average observed and expected heterozygosity across loci and populations were Ho = 0.713 (0.14-0.97) and He = 0.879 (0.19-0.95) respectively. The high levels of polymorphism observed in the newly developed microsatellite markers demonstrate their usefulness to study gene flow, population structure and spatial distribution of genetic diversity in S. kamerunensis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 32%
Researcher 3 16%
Student > Doctoral Student 2 11%
Student > Bachelor 1 5%
Student > Master 1 5%
Other 3 16%
Unknown 3 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 42%
Biochemistry, Genetics and Molecular Biology 3 16%
Environmental Science 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Medicine and Dentistry 1 5%
Other 0 0%
Unknown 4 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 16 November 2018.
All research outputs
#7,516,855
of 23,098,660 outputs
Outputs from Molecular Biology Reports
#400
of 2,963 outputs
Outputs of similar age
#128,652
of 331,122 outputs
Outputs of similar age from Molecular Biology Reports
#12
of 70 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,963 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done well, scoring higher than 86% 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 331,122 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 60% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.