Evidence map›Paper›PMID 39586896›Full record

ArticleMarine biotechnology (New York, N.Y.)2024

SNP Fingerprinting for Germplasm Identification of the Fast-Growing Pacific oyster (Crassostrea gigas) "Haida No. 1" Variety.

Zihao Zhang, Ben Yang, Liting Ren, Qi Li, Shikai Liu

Abstract read
PubMed Publisher
In one paragraph

Article in Marine biotechnology (New York, N.Y.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Zihao ZhangKey Laboratory of Mariculture (Ocean University of China), Ministry of Education, and College of Fisheries, Ocean University of China, Qingdao, 266003, China.
Ben YangKey Laboratory of Mariculture (Ocean University of China), Ministry of Education, and College of Fisheries, Ocean University of China, Qingdao, 266003, China.
Liting RenKey Laboratory of Mariculture (Ocean University of China), Ministry of Education, and College of Fisheries, Ocean University of China, Qingdao, 266003, China.
Qi LiKey Laboratory of Mariculture (Ocean University of China), Ministry of Education, and College of Fisheries, Ocean University of China, Qingdao, 266003, China.
Shikai LiuKey Laboratory of Mariculture (Ocean University of China), Ministry of Education, and College of Fisheries, Ocean University of China, Qingdao, 266003, China. liushk@ouc.edu.cn.

Funding

National Natural Science Foundation of China 32341060
6 · The paper itself

Abstract

The Pacific oyster (Crassostrea gigas) is a global aquaculture species of economic significance. Selective breeding programs have been conducted to produce multiple strains with fast growth as well as other desirable traits. However, due to the phenotypic plasticity of oysters, challenges existed for precise germplasm identification among selectively bred strains. In this work, we identified selection signatures of three fast-growing Pacific oyster strains originated from wild populations collected from China, Japan, and Korea, respectively, which were used for development of SNP-based molecular fingerprinting for precise identification of germplasm. We performed whole-genome resequencing of 59 oysters from three selectively bred strains and a wild population for genome-wide SNP analyses. Population structure analysis with these SNPs revealed significant genetic differentiation among the selectively bred strains. Based on the F

Indexed as

CrassostreaPolymorphism, Single NucleotideAnimalsAquacultureChinaDNA FingerprintingGenetics, PopulationJapanRepublic of KoreaSelective BreedingWhole Genome SequencingCrassostrea gigasGermplasm identificationMolecular fingerprintSNP markersWhole genome resequencing

Identifiers

What OpenQuestion holds

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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.