| Title |
Global connectivity patterns of the notoriously invasive mussel, Mytilus galloprovincialis Lmk using archived CO1 sequence data
|
|---|---|
| Published in |
BMC Research Notes, April 2018
|
| DOI | 10.1186/s13104-018-3328-3 |
| Pubmed ID | |
| Authors |
Thomas Pickett, Andrew A. David |
| Abstract |
The invasive mussel, Mytilus galloprovincialis has established invasive populations across the globe and in some regions, have completely displaced native mussels through competitive exclusion. The objective of this study was to elucidate global connectivity patterns of M. galloprovincialis strictly using archived cytochrome c oxidase 1 sequence data obtained from public databases. Through exhaustive mining and the development of a systematic workflow, we compiled the most comprehensive global CO1 dataset for M. galloprovincialis thus far, consisting of 209 sequences representing 14 populations. Haplotype networks were constructed and genetic differentiation was assessed using pairwise analysis of molecular variance. There was significant genetic structuring across populations with significant geographic patterning of haplotypes. In particular, South Korea, South China, Turkey and Australasia appear to be the most genetically isolated populations. However, we were unable to recover a northern and southern hemisphere grouping for M. galloprovincialis as was found in previous studies. These results suggest a complex dispersal pattern for M. galloprovincialis driven by several contributors including both natural and anthropogenic dispersal mechanisms along with the possibility of potential hybridization and ancient vicariance events. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 27% |
| Brazil | 1 | 9% |
| France | 1 | 9% |
| Canada | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 21% |
| Professor | 3 | 11% |
| Student > Master | 3 | 11% |
| Student > Ph. D. Student | 3 | 11% |
| Professor > Associate Professor | 2 | 7% |
| Other | 6 | 21% |
| Unknown | 5 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 43% |
| Environmental Science | 6 | 21% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Unspecified | 1 | 4% |
| Earth and Planetary Sciences | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 6 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 15 September 2019.
All research outputs
#5,608,984
of 23,036,991 outputs
Outputs from BMC Research Notes
#798
of 4,283 outputs
Outputs of similar age
#97,591
of 329,120 outputs
Outputs of similar age from BMC Research Notes
#15
of 100 outputs
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