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Attention Score in Context
| Title |
Population genetic analysis of a medicinally significant Australian rainforest tree, Fontainea picrosperma C.T. White (Euphorbiaceae): biogeographic patterns and implications for species domestication and plantation establishment
|
|---|---|
| Published in |
BMC Plant Biology, February 2016
|
| DOI | 10.1186/s12870-016-0743-2 |
| Pubmed ID | |
| Authors |
R. W. Lamont, G. C. Conroy, P. Reddell, S. M. Ogbourne |
| Abstract |
Fontainea picrosperma, a subcanopy tree endemic to the rainforests of northeastern Australia, is of medicinal significance following the discovery of the novel anti-cancer natural product, EBC-46. Laboratory synthesis of EBC-46 is unlikely to be commercially feasible and consequently production of the molecule is via isolation from F. picrosperma grown in plantations. Successful domestication and plantation production requires an intimate knowledge of a taxon's life-history attributes and genetic architecture, not only to ensure the maximum capture of genetic diversity from wild source populations, but also to minimise the risk of a detrimental loss in genetic diversity via founder effects during subsequent breeding programs designed to enhance commercially significant agronomic traits. Here we report the use of eleven microsatellite loci (PIC = 0.429; P ID = 1.72 × 10(-6)) to investigate the partitioning of genetic diversity within and among seven natural populations of F. picrosperma. Genetic variation among individuals and within populations was found to be relatively low (A = 2.831; H E = 0.407), although there was marked differentiation among populations (PhiPT = 0.248). Bayesian, UPGMA and principal coordinates analyses detected three main genotypic clusters (K = 3), which were present at all seven populations. Despite low levels of historical gene flow (N m = 1.382), inbreeding was negligible (F = -0.003); presumably due to the taxon's dioecious breeding system. The data suggests that F. picrosperma was previously more continuously distributed, but that rainforest contraction and expansion in response to glacial-interglacial cycles, together with significant anthropogenic effects have resulted in significant fragmentation. This research provides important tools to support plantation establishment, selection and genetic improvement of this medicinally significant Australian rainforest species. |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 15% |
| Student > Master | 5 | 12% |
| Student > Bachelor | 4 | 10% |
| Student > Ph. D. Student | 4 | 10% |
| Other | 3 | 7% |
| Other | 4 | 10% |
| Unknown | 15 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 27% |
| Chemistry | 5 | 12% |
| Environmental Science | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Veterinary Science and Veterinary Medicine | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 14 | 34% |
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 17 January 2017.
All research outputs
#20,311,744
of 22,852,911 outputs
Outputs from BMC Plant Biology
#2,520
of 3,256 outputs
Outputs of similar age
#251,307
of 297,594 outputs
Outputs of similar age from BMC Plant Biology
#51
of 62 outputs
Altmetric has tracked 22,852,911 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.
So far Altmetric has tracked 3,256 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 1st percentile – i.e., 1% 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 297,594 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 62 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.