Evidence map›Paper›PMID 25893565›Full record

ArticleCurrent genetics2015

Mitochondrial genome of Turbinaria ornata (Sargassaceae, Phaeophyceae): comparative mitogenomics of brown algae.

Feng Liu, Shaojun Pang

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Current genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.5field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 19 citations in OpenAlex.

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  7. Complete mitochondrial genome ofMitochondrial DNA. Part B, Resources · 2018
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Feng LiuKey Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences (IOCAS), Qingdao, 266071, Shandong, People's Republic of China. liufeng@qdio.ac.cn.
Shaojun PangKey Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences (IOCAS), Qingdao, 266071, Shandong, People's Republic of China. sjpang@qdio.ac.cn.
Institute of Oceanology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Turbinaria ornata (Turner) J. Agardh is a perennial brown alga native to coral reef ecosystems of tropical areas of the Pacific and Indian Ocean. Very little is known about its organellar genome structure. In the present work, the complete mitochondrial genome sequence of T. ornata was determined and compared with other reported brown algal mtDNAs. The circular mitogenome of 34,981 bp contains a basic set of 65 mitochondrial genes. The structure and organization of T. ornata mitogenome is very similar to Sargassum species. Turbinaria ornata genes overlap by a total of 164 bp in 12 different locations from 1 to 66 bp, and the non-coding sequences are 1872 bp, constituting approximate 5.35 % of the genome. The total spacer size has positive correlation with the brown algal mitogenome size with the correlation coefficient of 0.7972. Several regions displaying greater inconsistency (rnl-trnK spacer, cox2 gene, cox3-atp6 spacer, rps14-rns middle region and trnP-rnl spacer) have been identified in brown algal mtDNAs. The observed uncertainty regarding the position and support values of some branches might be closely associated with the heterogeneity of evolutionary rate.

Indexed as

Genome, MitochondrialOpen Reading FramesBiological EvolutionChromosome MappingCoral ReefsDNA, IntergenicDNA, MitochondrialMitochondriaPhaeophyceaePhylogenyDNA, IntergenicDNA, MitochondrialBrown algaMitochondrial genomePhaeophyceaeSargassaceaeTurbinaria ornata

Identifiers

PMID25893565
OpenAlexW2094207305

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.