Evidence map›Paper›PMID 30377874›Full record

ArticleGenetica2018

Comparative study on mitogenomes of green tide algae.

Chuner Cai, Feng Liu, Ting Jiang, Lingke Wang, Rui Jia, Lingjie Zhou, Kai Gu, Jianfeng Ren, Peimin He

Abstract read
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In one paragraph

Article in Genetica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

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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

9 authors at 4 institutions in 2 countries.

Chuner CaiCollege of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, China.
Feng LiuKey Laboratory of Experimental Marine Biology, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China.
Ting JiangCollege of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, China.
Lingke WangCollege of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, China.
Rui JiaCollege of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, China.
Lingjie ZhouDepartment of Marine Sciences, University of Connecticut, Groton, CT, USA.
Kai GuCollege of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, China.
Jianfeng RenCollege of Fisheries and Life Science, Shanghai Ocean University, Shanghai, China.
Peimin HeCollege of Marine Ecology and Environment, Shanghai Ocean University, Shanghai, China. pmhe@shou.edu.cn.
Shanghai Ocean University · CNInstitute of Oceanology · CNMarine Design & Research Institute of China · CNUniversity of Connecticut · US

Funding

Key Laboratory of Integrated Marine Monitoring and Applied Technologies for Harmful Algal Blooms, S.O.A. MATHAB2017010National Key R&D Program of China 2016YFC1402105National Natural Science Foundation of China 41576163Shanghai Natural Science Fund 18ZR1417400
6 · The paper itself

Abstract

Since 2007, the annual green tide disaster in the Yellow Sea has brought serious economic losses to China. There is no research on the genetic similarities of four constituent species of green tide algae at the genomic level. We previously determined the mitochondrial genomes of Ulva prolifera, Ulva linza and Ulva flexuosa. In the present work, the mitochondrial genome of another green tide (Ulva compressa) was sequenced and analyzed. With the length of 62,311 bp, it contained 29 encoding genes, 26 tRNAs and 10 open reading frames. By comparing these four mitochondrial genomes, we found that U. compressa was quite different from the other three types of Ulva species. However, there were similarities between U. prolifera and U. linza in the number, distribution and homology of open reading frames, evolutionary and codon variation of tRNA, evolutionary relationship and selection pressure of coding genes. Repetitive sequence analysis of simple sequence repeats, tandem repeat and forward repeats further supposed that they have evolved from the same origin. In addition, we directly analyzed gene homologies and translocation of four green tide algae by Mauve alignment. There were gene order rearrangements among them. With fast-evolving genomes, these four green algal mitochondria have both conservatism and variation, thus opening another window for the understanding of origin and evolution of Ulva.

Indexed as

Genome, MitochondrialCodonEvolution, MolecularMicrosatellite RepeatsOpen Reading FramesRNA, TransferSequence Homology, Nucleic AcidUlvaCodonRNA, TransferAquacultureChlorophytaEncoding geneGene order rearrangementOpen reading frameUlvaceaeUlva compressa

Identifiers

PMID30377874
OpenAlexW2899415728

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.