Evidence map›Paper›PMID 19329066›Full record

ArticleGenomics, proteomics & bioinformatics2008

Phylogenetic analysis of brine shrimp (Artemia) in China using DNA barcoding.

Weiwei Wang, Qibin Luo, Haiyan Guo, Peter Bossier, Gilbert Van Stappen, Patrick Sorgeloos, Naihong Xin, Qishi Sun, Songnian Hu, Jun Yu

Open access · goldAbstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 22 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

10 authors at 6 institutions in 2 countries.

Weiwei WangKey Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100029, China.
Qibin Luo
Haiyan Guo
Peter Bossier
Gilbert Van Stappen
Patrick Sorgeloos
Naihong Xin
Qishi Sun
Songnian Hu
Jun Yu
Chinese Academy of Sciences · CNGhent University · BEShenyang Pharmaceutical University · CNBeijing Institute of Genomics · CNChina National Salt Industry Corporation (China) · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA barcoding is a powerful approach for characterizing species of organisms, especially those with almost identical morphological features, thereby helping to to establish phylogenetic relationships and reveal evolutionary histories. In this study, we chose a 648-bp segment of the mitochondrial gene, cytochrome c oxidase subunit 1 (COI), as a standard barcode region to establish phylogenetic relationships among brine shrimp (Artemia) species from major habitats around the world and further focused on the biodiversity of Artemia species in China, especially in the Tibetan Plateau. Samples from five major salt lakes of the Tibetan Plateau located at altitudes over 4,000 m showed clear differences from other Artemia populations in China. We also observed two consistent amino acid changes, 153A/V and 183L/F, in the COI gene between the high and low altitude species in China. Moreover, indels in the COI sequence were identified in cyst and adult samples unique to the Co Qen population from the Tibetan Plateau, demonstrating the need for additional investigations of the mitochondrial genome among Tibetan Artemia populations.

Indexed as

PhylogenyAnimalsArtemiaBase SequenceChinaDNA, MitochondrialElectron Transport Complex IVGenetic VariationMolecular Sequence DataSelection, GeneticSequence Analysis, DNASequence Homology, Nucleic AcidTibetDNA, MitochondrialElectron Transport Complex IV

Identifiers

PMID19329066
PMCPMC5054130
OpenAlexW1985773344

What OpenQuestion holds

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Registered trials

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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.