Evidence map›Paper›PMID 29532334›Full record

ArticleMarine biotechnology (New York, N.Y.)2018

Development of SNP Panels as a New Tool to Assess the Genetic Diversity, Population Structure, and Parentage Analysis of the Eastern Oyster (Crassostrea virginica).

Wilawan Thongda, Honggang Zhao, Dongdong Zhang, Lauren N Jescovitch, Ming Liu, Ximing Guo, Meagan Schrandt, Sean P Powers, Eric Peatman

Abstract read
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In one paragraph

Article in Marine biotechnology (New York, N.Y.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Wilawan ThongdaSchool of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA.
Honggang ZhaoSchool of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA.
Dongdong ZhangSchool of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA.
Lauren N JescovitchSchool of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA.
Ming LiuInstitute of Marine and Coastal Sciences and The New Jersey Agricultural Experiment Station, Haskin Shellfish Research Laboratory, Rutgers University, Port Norris, NJ, 08349, USA.
Ximing GuoInstitute of Marine and Coastal Sciences and The New Jersey Agricultural Experiment Station, Haskin Shellfish Research Laboratory, Rutgers University, Port Norris, NJ, 08349, USA.
Meagan SchrandtDepartment of Marine Sciences, University of South Alabama, Mobile, AL, 36688, USA.
Sean P PowersDepartment of Marine Sciences, University of South Alabama, Mobile, AL, 36688, USA.
Eric PeatmanSchool of Fisheries, Aquaculture and Aquatic Sciences, Auburn University, Auburn, AL, 36849, USA. peatmer@auburn.edu.ORCID http://orcid.org/0000-0003-0634-7251

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Culture of the eastern oyster (Crassostrea virginica) is rapidly expanding. Combined with their continuing role as an environmental sentinel species and ecological model, this trend necessitates improved molecular tools for breeding and selection, as well as population assessment and genetic conservation. Here, we describe the development and validation of two panels of 58 single nucleotide polymorphism markers (SNPs) for the species. Population analyses revealed three distinct populations, based on F

Indexed as

AnimalsCrassostreaGenetics, PopulationGenetic VariationMicrosatellite RepeatsPolymorphism, Single NucleotideCrassostrea virginicaMicrosatellitesPopulation geneticsSNP panels

Identifiers

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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.