Evidence map›Paper›PMID 34897859›Full record

ArticleThe Plant journal : for cell and molecular biology2022

Taming the massive genome of Scots pine with PiSy50k, a new genotyping array for conifer research.

Chedly Kastally, Alina K Niskanen, Annika Perry, Sonja T Kujala, Komlan Avia, Sandra Cervantes, Matti Haapanen, Robert Kesälahti, Timo A Kumpula, Tiina M Mattila and 7 more

Open access · hybridAbstract read
In one paragraph

Article in The Plant journal : for cell and molecular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 30 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

17 authors at 8 institutions in 6 countries.

Chedly KastallyDepartment of Ecology and Genetics, University of Oulu, P.O. Box 3000, 90014, Oulu, Finland.ORCID 0000-0002-1820-4752
Alina K NiskanenDepartment of Ecology and Genetics, University of Oulu, P.O. Box 3000, 90014, Oulu, Finland.ORCID 0000-0003-2017-2718
Annika PerryUK Centre for Ecology & Hydrology, Bush Estate, Penicuik, Midlothian, EH26 0QB, UK.
Sonja T KujalaNatural Resources Institute Finland (Luke), Paavo Havaksen tie 3, 90570, Oulu, Finland.
Komlan AviaUniversité de Strasbourg, INRAE, SVQV UMR-A 1131, F-68000, Colmar, France.
Sandra CervantesDepartment of Ecology and Genetics, University of Oulu, P.O. Box 3000, 90014, Oulu, Finland.
Matti HaapanenNatural Resources Institute Finland (Luke), Latokartanonkaari 9, FI-00790, Helsinki, Finland.
Robert KesälahtiDepartment of Ecology and Genetics, University of Oulu, P.O. Box 3000, 90014, Oulu, Finland.
Timo A KumpulaDepartment of Ecology and Genetics, University of Oulu, P.O. Box 3000, 90014, Oulu, Finland.
Tiina M MattilaDepartment of Ecology and Genetics, University of Oulu, P.O. Box 3000, 90014, Oulu, Finland.
Dario I OjedaDepartment of Ecology and Genetics, University of Oulu, P.O. Box 3000, 90014, Oulu, Finland.
Jaakko S TyrmiDepartment of Ecology and Genetics, University of Oulu, P.O. Box 3000, 90014, Oulu, Finland.
Witold WachowiakInstitute of Environmental Biology, Faculty of Biology, Adam Mickiewicz University in Poznań, Uniwersytetu Poznańskiego 6, 61-614, Poznań, Poland.
Stephen CaversUK Centre for Ecology & Hydrology, Bush Estate, Penicuik, Midlothian, EH26 0QB, UK.
Katri KärkkäinenNatural Resources Institute Finland (Luke), Paavo Havaksen tie 3, 90570, Oulu, Finland.
Outi SavolainenDepartment of Ecology and Genetics, University of Oulu, P.O. Box 3000, 90014, Oulu, Finland.
Tanja PyhäjärviDepartment of Ecology and Genetics, University of Oulu, P.O. Box 3000, 90014, Oulu, Finland.ORCID 0000-0001-6958-5172
University of Oulu · FINatural Resources Institute Finland · FIUK Centre for Ecology & Hydrology · GBAdam Mickiewicz University in Poznań · PLInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRNorwegian Institute of Bioeconomy Research · NOUniversity of Helsinki · FIUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pinus sylvestris (Scots pine) is the most widespread coniferous tree in the boreal forests of Eurasia, with major economic and ecological importance. However, its large and repetitive genome presents a challenge for conducting genome-wide analyses such as association studies, genetic mapping and genomic selection. We present a new 50K single-nucleotide polymorphism (SNP) genotyping array for Scots pine research, breeding and other applications. To select the SNP set, we first genotyped 480 Scots pine samples on a 407 540 SNP screening array and identified 47 712 high-quality SNPs for the final array (called 'PiSy50k'). Here, we provide details of the design and testing, as well as allele frequency estimates from the discovery panel, functional annotation, tissue-specific expression patterns and expression level information for the SNPs or corresponding genes, when available. We validated the performance of the PiSy50k array using samples from Finland and Scotland. Overall, 39 678 (83.2%) SNPs showed low error rates (mean = 0.9%). Relatedness estimates based on array genotypes were consistent with the expected pedigrees, and the level of Mendelian error was negligible. In addition, array genotypes successfully discriminate between Scots pine populations of Finnish and Scottish origins. The PiSy50k SNP array will be a valuable tool for a wide variety of future genetic studies and forestry applications.

Indexed as

Pinus sylvestrisTracheophytaGenome-Wide Association StudyGenotypePlant BreedingPolymorphism, Single Nucleotidegenetic diversitygenotypingpedigreePinus sylvestrissingle-nucleotide polymorphism

Identifiers

PMID34897859
PMCPMC9303803
OpenAlexW4220933433

What OpenQuestion holds

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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.