Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

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

View ORCID ProfileChedly Kastally, View ORCID ProfileAlina K. Niskanen, View ORCID ProfileAnnika Perry, View ORCID ProfileSonja T. Kujala, View ORCID ProfileKomlan Avia, Sandra Cervantes, View ORCID ProfileMatti Haapanen, View ORCID ProfileRobert Kesälahti, View ORCID ProfileTimo A. Kumpula, View ORCID ProfileTiina M. Mattila, View ORCID ProfileDario I. Ojeda, View ORCID ProfileJaakko S. Tyrmi, View ORCID ProfileWitold Wachowiak, View ORCID ProfileStephen Cavers, View ORCID ProfileKatri Kärkkäinen, View ORCID ProfileOuti Savolainen, View ORCID ProfileTanja Pyhäjärvi
doi: https://doi.org/10.1101/2021.06.29.450162
Chedly Kastally
aDepartment of Ecology and Genetics, University of Oulu, 90014 University of Oulu, Finland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Chedly Kastally
Alina K. Niskanen
aDepartment of Ecology and Genetics, University of Oulu, 90014 University of Oulu, Finland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Alina K. Niskanen
Annika Perry
bUK Centre for Ecology & Hydrology, Bush Estate, Penicuik, Midlothian, UK, EH26 0QB, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Annika Perry
Sonja T. Kujala
cNatural Resources Institute Finland (Luke), Paavo Havaksen tie 3, 90570 Oulu, Finland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Sonja T. Kujala
Komlan Avia
dUniversité de Strasbourg, INRAE, SVQV UMR-A 1131, F-68000, Colmar, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Komlan Avia
Sandra Cervantes
aDepartment of Ecology and Genetics, University of Oulu, 90014 University of Oulu, Finland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Matti Haapanen
eNatural Resources Institute Finland (Luke), Latokartanonkaari 9, FI-00790 Helsinki, Finland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Matti Haapanen
Robert Kesälahti
aDepartment of Ecology and Genetics, University of Oulu, 90014 University of Oulu, Finland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Robert Kesälahti
Timo A. Kumpula
aDepartment of Ecology and Genetics, University of Oulu, 90014 University of Oulu, Finland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Timo A. Kumpula
Tiina M. Mattila
aDepartment of Ecology and Genetics, University of Oulu, 90014 University of Oulu, Finland
fDepartment of Organismal Biology, EBC, Uppsala University, Uppsala, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Tiina M. Mattila
Dario I. Ojeda
aDepartment of Ecology and Genetics, University of Oulu, 90014 University of Oulu, Finland
gNorwegian Institute of Bioeconomy Research, Ås, Norway
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Dario I. Ojeda
Jaakko S. Tyrmi
aDepartment of Ecology and Genetics, University of Oulu, 90014 University of Oulu, Finland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Jaakko S. Tyrmi
Witold Wachowiak
hInstitute of Environmental Biology, Faculty of Biology, Adam Mickiewicz University in Poznań, Uniwersytetu Poznańskiego 6, 61-614 Poznań, Poland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Witold Wachowiak
Stephen Cavers
bUK Centre for Ecology & Hydrology, Bush Estate, Penicuik, Midlothian, UK, EH26 0QB, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Stephen Cavers
Katri Kärkkäinen
cNatural Resources Institute Finland (Luke), Paavo Havaksen tie 3, 90570 Oulu, Finland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Katri Kärkkäinen
Outi Savolainen
aDepartment of Ecology and Genetics, University of Oulu, 90014 University of Oulu, Finland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Outi Savolainen
Tanja Pyhäjärvi
aDepartment of Ecology and Genetics, University of Oulu, 90014 University of Oulu, Finland
iDepartment of Forest Sciences, University of Helsinki, 00014 University of Helsinki, Finland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Tanja Pyhäjärvi
  • For correspondence: tanja.pyhajarvi@helsinki.fi
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Summary

Scots pine (Pinus sylvestris) is the most widespread coniferous tree in the boreal forests of Eurasia and has major economic and ecological importance. However, its large and repetitive genome presents a challenge for conducting genome-wide analyses such as association studies and genomic selection. We present a new 50K SNP genotyping array for Scots pine research, breeding programs, 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 breeding populations from Finland and Scotland. Overall, 39 678 (83.2%) SNPs showed low error rates (mean = 0.92%). Relatedness estimates based on array genotypes were consistent with the expected pedigrees, and the amount of Mendelian error was negligible. In addition, array genotypes successfully discriminate Scots pine populations from different geographic origins. The PiSy50k array will be a valuable tool for future genetic studies and forestry applications.

Significance statement Scots pine is an evolutionary, economically and ecologically impressive coniferous species but its gigantic genome has limited studying e.g. the genetic basis of its functional trait variation. We have developed a genotyping array that facilitates Scots pine genetic research and linking its trait variation to genetic polymorphisms and gene expression levels across the genome.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted June 30, 2021.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Taming the massive genome of Scots pine with PiSy50k, a new genotyping array for conifer research
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
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, Dario I. Ojeda, Jaakko S. Tyrmi, Witold Wachowiak, Stephen Cavers, Katri Kärkkäinen, Outi Savolainen, Tanja Pyhäjärvi
bioRxiv 2021.06.29.450162; doi: https://doi.org/10.1101/2021.06.29.450162
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
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, Dario I. Ojeda, Jaakko S. Tyrmi, Witold Wachowiak, Stephen Cavers, Katri Kärkkäinen, Outi Savolainen, Tanja Pyhäjärvi
bioRxiv 2021.06.29.450162; doi: https://doi.org/10.1101/2021.06.29.450162

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Genomics
Subject Areas
All Articles
  • Animal Behavior and Cognition (4232)
  • Biochemistry (9128)
  • Bioengineering (6774)
  • Bioinformatics (23989)
  • Biophysics (12117)
  • Cancer Biology (9523)
  • Cell Biology (13772)
  • Clinical Trials (138)
  • Developmental Biology (7627)
  • Ecology (11686)
  • Epidemiology (2066)
  • Evolutionary Biology (15504)
  • Genetics (10638)
  • Genomics (14322)
  • Immunology (9477)
  • Microbiology (22831)
  • Molecular Biology (9089)
  • Neuroscience (48960)
  • Paleontology (355)
  • Pathology (1480)
  • Pharmacology and Toxicology (2568)
  • Physiology (3844)
  • Plant Biology (8327)
  • Scientific Communication and Education (1471)
  • Synthetic Biology (2296)
  • Systems Biology (6186)
  • Zoology (1300)