Literature DB >> 32633888

Development of a single nucleotide polymorphism array for population genomic studies in four European pine species.

Annika Perry1, Witold Wachowiak2, Alison Downing3, Richard Talbot3, Stephen Cavers1.   

Abstract

Pines are some of the most ecologically and economically important tree species in the world, and many have enormous natural distributions or have been extensively planted. However, a lack of rapid genotyping capability is hampering progress in understanding the molecular basis of genetic variation in these species. Here, we deliver an efficient tool for genotyping thousands of single nucleotide polymorphism (SNP) markers across the genome that can be applied to genetic studies in pines. Polymorphisms from resequenced candidate genes and transcriptome sequences of P. sylvestris, P. mugo, P. uncinata, P. uliginosa and P. radiata were used to design a 49,829 SNP array (Axiom_PineGAP, Thermo Fisher). Over a third (34.68%) of the unigenes identified from the P. sylvestris transcriptome were represented on the array, which was used to screen samples of four pine species. The conversion rate for the array on all samples was 42% (N = 20,795 SNPs) and was similar for SNPs sourced from resequenced candidate gene and transcriptome sequences. The broad representation of gene ontology terms by unigenes containing converted SNPs reflected their coverage across the full transcriptome. Over a quarter of successfully converted SNPs were polymorphic among all species, and the data were successful in discriminating among the species and some individual populations. The SNP array provides a valuable new tool to advance genetic studies in these species and demonstrates the effectiveness of the technology for rapid genotyping in species with large and complex genomes.
© The Authors. Molecular Ecology Resources published by John Wiley & Sons Ltd.

Entities:  

Keywords:  SNP array; divergence; genotyping; natural selection; polymorphism; speciation

Mesh:

Year:  2020        PMID: 32633888     DOI: 10.1111/1755-0998.13223

Source DB:  PubMed          Journal:  Mol Ecol Resour        ISSN: 1755-098X            Impact factor:   7.090


  5 in total

1.  Identifying and testing marker-trait associations for growth and phenology in three pine species: Implications for genomic prediction.

Authors:  Annika Perry; Witold Wachowiak; Joan Beaton; Glenn Iason; Joan Cottrell; Stephen Cavers
Journal:  Evol Appl       Date:  2022-02-10       Impact factor: 5.183

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

Authors:  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
Journal:  Plant J       Date:  2022-01-16       Impact factor: 7.091

3.  Evolutionary history of the mediterranean Pinus halepensis-brutia species complex using gene-resequencing and transcriptomic approaches.

Authors:  Sanna Olsson; Zaida Lorenzo; Mario Zabal-Aguirre; Andrea Piotti; Giovanni G Vendramin; Santiago C González-Martínez; Delphine Grivet
Journal:  Plant Mol Biol       Date:  2021-05-01       Impact factor: 4.076

4.  Toward genomic selection in Pinus taeda: Integrating resources to support array design in a complex conifer genome.

Authors:  Madison Caballero; Edwin Lauer; Jeremy Bennett; Sumaira Zaman; Susan McEvoy; Juan Acosta; Colin Jackson; Laura Townsend; Andrew Eckert; Ross W Whetten; Carol Loopstra; Jason Holliday; Mihir Mandal; Jill L Wegrzyn; Fikret Isik
Journal:  Appl Plant Sci       Date:  2021-07-02       Impact factor: 1.936

5.  Candidate Genes for the High-Altitude Adaptations of Two Mountain Pine Taxa.

Authors:  Julia Zaborowska; Bartosz Łabiszak; Annika Perry; Stephen Cavers; Witold Wachowiak
Journal:  Int J Mol Sci       Date:  2021-03-27       Impact factor: 5.923

  5 in total

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