Evidence map›Paper›PMID 39251920›Full record

ArticleBMC genomics2024

Development and validation of a 66K SNP array for the hard clam (Mercenaria mercenaria).

Denis Grouzdev, Sarah Farhat, Ximing Guo, Emmanuelle Pales Espinosa, Kimberly Reece, Jan McDowell, Huiping Yang, Gregg Rivara, Joshua Reitsma, Antoinette Clemetson and 2 more

Abstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

12 authors.

Denis GrouzdevSchool of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, 11794-5000, USA. denis.gruzdev@stonybrook.edu.
Sarah FarhatSchool of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, 11794-5000, USA.
Ximing GuoHaskin Shellfish Research Laboratory, Department of Marine and Coastal Sciences, Rutgers University, 6959 Miller Avenue, Port Norris, NJ, 08349, USA.
Emmanuelle Pales EspinosaSchool of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, 11794-5000, USA.
Kimberly ReeceVirginia Institute of Marine Science, P.O. Box 1346, Gloucester Point, VA, 23062, USA.
Jan McDowellVirginia Institute of Marine Science, P.O. Box 1346, Gloucester Point, VA, 23062, USA.
Huiping YangSchool of Forest, Fisheries, and Geomatics Sciences, University of Florida, 7922 NW 71 Street, Gainesville, FL, 32653, USA.
Gregg RivaraCornell University Cooperative Extension, 3690 Cedar Beach Road, Southold, NY, 11971, USA.
Joshua ReitsmaCape Cod Cooperative Extension, 3195 Main Street, Barnstable, MA, 02630, USA.
Antoinette ClemetsonNew York Sea Grant, Stony Brook University, 146 Suffolk Hall, Stony Brook, NY, 11794-5002, USA.
Arnaud TanguySorbonne Université, Station Biologique de Roscoff, Place Georges Teissier, 29688, Roscoff, France.
Bassem AllamSchool of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, 11794-5000, USA. bassem.allam@stonybrook.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe hard clam (Mercenaria mercenaria), a marine bivalve distributed along the U.S. eastern seaboard, supports a significant shellfish industry. Overharvest in the 1970s and 1980s led to a reduction in landings. While the transition of industry from wild harvest to aquaculture since that time has enhanced production, it has also exacerbated challenges such as disease outbreaks. In this study, we developed and validated a 66K SNP array designed to advance genetic studies and improve breeding programs in the hard clam, focusing particularly on the development of markers that could be useful in understanding disease resistance and environmental adaptability.

resultsWhole-genome resequencing of 84 individual clam samples and 277 pooled clam libraries yielded over 305 million SNPs, which were filtered down to a set of 370,456 SNPs that were used as input for the design of a 66K SNP array. This medium-density array features 66,543 probes targeting coding and non-coding regions, including 70 mitochondrial SNPs, to capture the extensive genetic diversity within the species. The SNPs were distributed evenly throughout the clam genome, with an average interval of 25,641 bp between SNPs. The array incorporates markers for detecting the clam pathogen Mucochytrium quahogii (formerly QPX), enhancing its utility in disease management. Performance evaluation on 1,904 samples demonstrated a 72.7% pass rate with stringent quality control. Concordance testing affirmed the array's repeatability, with an average agreement of allele calls of 99.64% across multiple tissue types, highlighting its reliability. The tissue-specific analysis demonstrated that some tissue types yield better genotyping results than others. Importantly, the array, including its embedded mitochondrial markers, effectively elucidated complex genetic relationships across different clam groups, both wild populations and aquacultured stocks, showcasing its utility for detailed population genetics studies.

conclusionsThe 66K SNP array is a powerful and robust genotyping tool that offers unprecedented insights into the species' genomic architecture and population dynamics and that can greatly facilitate hard clam selective breeding. It represents an important resource that has the potential to transform clam aquaculture, thereby promoting industry sustainability and ecological and economic resilience.

Indexed as

MercenariaPolymorphism, Single NucleotideAnimalsOligonucleotide Array Sequence AnalysisReproducibility of ResultsWhole Genome SequencingAquaculture geneticsGenomic selectionHard clamMercenaria mercenariaNorthern quahogQPX diseaseSNP array

Identifiers

PMID39251920
PMCPMC11385495

What Socratic 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 Socratic graph.