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275 years of forestry meets genomics in Pinus sylvestris
Pinus sylvestris has a long history of basic and applied research that is relevant for both forestry and evolutionary studies. Its patterns of adaptive variation and role in forest economic and ecological systems have been studied extensively for nearly 275 years, detailed demography for a 100 years...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966708/ https://www.ncbi.nlm.nih.gov/pubmed/31988655 http://dx.doi.org/10.1111/eva.12809 |
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author | Pyhäjärvi, Tanja Kujala, Sonja T Savolainen, Outi |
author_facet | Pyhäjärvi, Tanja Kujala, Sonja T Savolainen, Outi |
author_sort | Pyhäjärvi, Tanja |
collection | PubMed |
description | Pinus sylvestris has a long history of basic and applied research that is relevant for both forestry and evolutionary studies. Its patterns of adaptive variation and role in forest economic and ecological systems have been studied extensively for nearly 275 years, detailed demography for a 100 years and mating system more than 50 years. However, its reference genome sequence is not yet available and genomic studies have been lagging compared to, for example, Pinus taeda and Picea abies, two other economically important conifers. Despite the lack of reference genome, many modern genomic methods are applicable for a more detailed look at its biological characteristics. For example, RNA‐seq has revealed a complex transcriptional landscape and targeted DNA sequencing displays an excess of rare variants and geographically homogenously distributed molecular genetic diversity. Current DNA and RNA resources can be used as a reference for gene expression studies, SNP discovery, and further targeted sequencing. In the future, specific consequences of the large genome size, such as functional effects of regulatory open chromatin regions and transposable elements, should be investigated more carefully. For forest breeding and long‐term management purposes, genomic data can help in assessing the genetic basis of inbreeding depression and the application of genomic tools for genomic prediction and relatedness estimates. Given the challenges of breeding (long generation time, no easy vegetative propagation) and the economic importance, application of genomic tools has a potential to have a considerable impact. Here, we explore how genomic characteristics of P. sylvestris, such as rare alleles and the low extent of linkage disequilibrium, impact the applicability and power of the tools. |
format | Online Article Text |
id | pubmed-6966708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69667082020-01-27 275 years of forestry meets genomics in Pinus sylvestris Pyhäjärvi, Tanja Kujala, Sonja T Savolainen, Outi Evol Appl Special Issue Review and Syntheses Pinus sylvestris has a long history of basic and applied research that is relevant for both forestry and evolutionary studies. Its patterns of adaptive variation and role in forest economic and ecological systems have been studied extensively for nearly 275 years, detailed demography for a 100 years and mating system more than 50 years. However, its reference genome sequence is not yet available and genomic studies have been lagging compared to, for example, Pinus taeda and Picea abies, two other economically important conifers. Despite the lack of reference genome, many modern genomic methods are applicable for a more detailed look at its biological characteristics. For example, RNA‐seq has revealed a complex transcriptional landscape and targeted DNA sequencing displays an excess of rare variants and geographically homogenously distributed molecular genetic diversity. Current DNA and RNA resources can be used as a reference for gene expression studies, SNP discovery, and further targeted sequencing. In the future, specific consequences of the large genome size, such as functional effects of regulatory open chromatin regions and transposable elements, should be investigated more carefully. For forest breeding and long‐term management purposes, genomic data can help in assessing the genetic basis of inbreeding depression and the application of genomic tools for genomic prediction and relatedness estimates. Given the challenges of breeding (long generation time, no easy vegetative propagation) and the economic importance, application of genomic tools has a potential to have a considerable impact. Here, we explore how genomic characteristics of P. sylvestris, such as rare alleles and the low extent of linkage disequilibrium, impact the applicability and power of the tools. John Wiley and Sons Inc. 2019-06-28 /pmc/articles/PMC6966708/ /pubmed/31988655 http://dx.doi.org/10.1111/eva.12809 Text en © 2019 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Special Issue Review and Syntheses Pyhäjärvi, Tanja Kujala, Sonja T Savolainen, Outi 275 years of forestry meets genomics in Pinus sylvestris |
title | 275 years of forestry meets genomics in Pinus sylvestris
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title_full | 275 years of forestry meets genomics in Pinus sylvestris
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title_fullStr | 275 years of forestry meets genomics in Pinus sylvestris
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title_full_unstemmed | 275 years of forestry meets genomics in Pinus sylvestris
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title_short | 275 years of forestry meets genomics in Pinus sylvestris
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title_sort | 275 years of forestry meets genomics in pinus sylvestris |
topic | Special Issue Review and Syntheses |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966708/ https://www.ncbi.nlm.nih.gov/pubmed/31988655 http://dx.doi.org/10.1111/eva.12809 |
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