Evidence map›Paper›PMID 32103060›Full record

ArticleScientific reports2020

Development and characterization of a duplex PCR assay in Chinese sturgeon (Acipenser sinensis) for genetic analysis.

Yacheng Hu, Xueqing Liu, Jing Yang, Kan Xiao, Binzhong Wang, Hejun Du

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. 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
0.7field-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

4 citing papers in PubMed, 5 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

6 authors at 1 institution in 1 country.

Yacheng Hu *Chinese Sturgeon Research Institute, China Three Gorges Corporation, Yichang Hubei, 443100, China.ORCID http://orcid.org/0000-0003-4408-9150
Xueqing Liu *Chinese Sturgeon Research Institute, China Three Gorges Corporation, Yichang Hubei, 443100, China.
Jing YangChinese Sturgeon Research Institute, China Three Gorges Corporation, Yichang Hubei, 443100, China.
Kan XiaoChinese Sturgeon Research Institute, China Three Gorges Corporation, Yichang Hubei, 443100, China.
Binzhong WangChinese Sturgeon Research Institute, China Three Gorges Corporation, Yichang Hubei, 443100, China.ORCID http://orcid.org/0000-0003-1165-2701
Hejun DuChinese Sturgeon Research Institute, China Three Gorges Corporation, Yichang Hubei, 443100, China. duhejun21@126.com.
China Three Gorges Corporation (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chinese sturgeon (Acipenser sinensis) has been listed as a critically endangered species on the IUCN Red List and is an endemic fish of China. Five sets of duplex polymerase chain reactions (PCR) assays were developed with 10 tetranucleotide microsatellites for Chinese sturgeon. The size of CS57, ZHX43, ZHX69, AS105, ZHX51, AS074, ZHX2, AS078, AS026 and AS073 products in 184 Chinese sturgeon individuals ranged from 257-305, 191-241, 251-285, 172-244, 236-260, 169-209, 194-234, 92-176, 165-257 and 120-164, respectively. The observed allele number of the 10 microsatellites ranged from 7 to 16, and the total number of alleles was 106. The number of alleles per individual in CS57, ZHX43, AS105, AS074, AS078 and AS026 was 1-4. The number of alleles per individual in ZHX69, ZHX51, ZHX2 and AS073 was 2-4. The mean number of alleles per locus per individual ranged from 2.01-3.76. The expected heterozygosity (H

Indexed as

Genetic VariationAllelesAnimalsChinaEndangered SpeciesFishesMicrosatellite RepeatsPolymerase Chain ReactionTranscriptome

Identifiers

PMID32103060
PMCPMC7044248
OpenAlexW3007089839

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.