| Title |
Sequencing and analysis of the complete organellar genomes of Parmales, a closely related group to Bacillariophyta (diatoms)
|
|---|---|
| Published in |
Current Genetics, April 2016
|
| DOI | 10.1007/s00294-016-0598-y |
| Pubmed ID | |
| Authors |
Naoyuki Tajima, Kenji Saitoh, Shusei Sato, Fumito Maruyama, Mutsuo Ichinomiya, Shinya Yoshikawa, Ken Kurokawa, Hiroyuki Ohta, Satoshi Tabata, Akira Kuwata, Naoki Sato |
| Abstract |
We sequenced the complete plastid and mitochondrial genomes of the unicellular marine phytoplankton Triparma laevis, belonging to the order Parmales (Heterokonta). The cells of Parmales are surrounded by silicified cell walls, similar to Bacillariophyta (diatoms). T. laevis was recognized as a sister group of Bacillariophyta using a molecular phylogenetic analysis based on SSU rDNA and rbcL sequences. Bacillariophyta are the most successful group of phytoplankton in the modern ocean, but the origin and early evolution of them have not been clearly established. Detailed molecular analyses of T. laevis may increase our understanding of the evolutionary relationships among Parmales and Bacillariophyta. The gene contents of the plastid and mitochondrial genomes are similar between T. laevis and Bacillariophyta. The gene order of the plastid genome is also similar to Bacillariophyta, whereas the gene order of the mitochondrial genome is not conserved in Bacillariophyta, but the structure is more compact than Bacillariophyta. Phylogenetic analyses, using plastid-encoded concatenated amino acid datasets and mitochondria-encoded concatenated amino acid datasets suggest that T. laevis is a sister group of Bacillariophyta. These results suggest that the characteristics of the organellar genomes of T. laevis are similar and conserve ancestral characteristics more than Bacillariophyta. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 16% |
| Student > Bachelor | 3 | 12% |
| Student > Ph. D. Student | 3 | 12% |
| Professor | 2 | 8% |
| Other | 2 | 8% |
| Other | 5 | 20% |
| Unknown | 6 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 28% |
| Biochemistry, Genetics and Molecular Biology | 4 | 16% |
| Earth and Planetary Sciences | 3 | 12% |
| Environmental Science | 1 | 4% |
| Neuroscience | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 7 | 28% |
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 11 October 2016.
All research outputs
#15,369,653
of 22,865,319 outputs
Outputs from Current Genetics
#856
of 1,203 outputs
Outputs of similar age
#179,577
of 299,111 outputs
Outputs of similar age from Current Genetics
#14
of 28 outputs
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