Cargando…

Genetic architecture of spring and autumn phenology in Salix

BACKGROUND: In woody plants from temperate regions, adaptation to the local climate results in annual cycles of growth and dormancy, and optimal regulation of these cycles are critical for growth, long-term survival, and competitive success. In this study we have investigated the genetic background...

Descripción completa

Detalles Bibliográficos
Autores principales: Ghelardini, Luisa, Berlin, Sofia, Weih, Martin, Lagercrantz, Ulf, Gyllenstrand, Niclas, Rönnberg-Wästljung, Ann Christin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3945485/
https://www.ncbi.nlm.nih.gov/pubmed/24438179
http://dx.doi.org/10.1186/1471-2229-14-31
_version_ 1782306524338585600
author Ghelardini, Luisa
Berlin, Sofia
Weih, Martin
Lagercrantz, Ulf
Gyllenstrand, Niclas
Rönnberg-Wästljung, Ann Christin
author_facet Ghelardini, Luisa
Berlin, Sofia
Weih, Martin
Lagercrantz, Ulf
Gyllenstrand, Niclas
Rönnberg-Wästljung, Ann Christin
author_sort Ghelardini, Luisa
collection PubMed
description BACKGROUND: In woody plants from temperate regions, adaptation to the local climate results in annual cycles of growth and dormancy, and optimal regulation of these cycles are critical for growth, long-term survival, and competitive success. In this study we have investigated the genetic background to growth phenology in a Salix pedigree by assessing genetic and phenotypic variation in growth cessation, leaf senescence and bud burst in different years and environments. A previously constructed linkage map using the same pedigree and anchored to the annotated genome of P. trichocarpa was improved in target regions and used for QTL analysis of the traits. The major aims in this study were to map QTLs for phenology traits in Salix, and to identify candidate genes in QTL hot spots through comparative mapping with the closely related Populus trichocarpa. RESULTS: All traits varied significantly among genotypes and the broad-sense heritabilities ranged between 0.5 and 0.9, with the highest for leaf senescence. In total across experiment and years, 80 QTLs were detected. For individual traits, the QTLs explained together from 21.5 to 56.5% of the variation. Generally each individual QTL explained a low amount of the variation but three QTLs explained above 15% of the variation with one QTL for leaf senescence explaining 34% of the variation. The majority of the QTLs were recurrently identified across traits, years and environments. Two hotspots were identified on linkage group (LG) II and X where narrow QTLs for all traits co-localized. CONCLUSIONS: This study provides the most detailed analysis of QTL detection for phenology in Salix conducted so far. Several hotspot regions were found where QTLs for different traits and QTLs for the same trait but identified during different years co-localised. Many QTLs co-localised with QTLs found in poplar for similar traits that could indicate common pathways for these traits in Salicaceae. This study is an important first step in identifying QTLs and candidate genes for phenology traits in Salix.
format Online
Article
Text
id pubmed-3945485
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-39454852014-03-08 Genetic architecture of spring and autumn phenology in Salix Ghelardini, Luisa Berlin, Sofia Weih, Martin Lagercrantz, Ulf Gyllenstrand, Niclas Rönnberg-Wästljung, Ann Christin BMC Plant Biol Research Article BACKGROUND: In woody plants from temperate regions, adaptation to the local climate results in annual cycles of growth and dormancy, and optimal regulation of these cycles are critical for growth, long-term survival, and competitive success. In this study we have investigated the genetic background to growth phenology in a Salix pedigree by assessing genetic and phenotypic variation in growth cessation, leaf senescence and bud burst in different years and environments. A previously constructed linkage map using the same pedigree and anchored to the annotated genome of P. trichocarpa was improved in target regions and used for QTL analysis of the traits. The major aims in this study were to map QTLs for phenology traits in Salix, and to identify candidate genes in QTL hot spots through comparative mapping with the closely related Populus trichocarpa. RESULTS: All traits varied significantly among genotypes and the broad-sense heritabilities ranged between 0.5 and 0.9, with the highest for leaf senescence. In total across experiment and years, 80 QTLs were detected. For individual traits, the QTLs explained together from 21.5 to 56.5% of the variation. Generally each individual QTL explained a low amount of the variation but three QTLs explained above 15% of the variation with one QTL for leaf senescence explaining 34% of the variation. The majority of the QTLs were recurrently identified across traits, years and environments. Two hotspots were identified on linkage group (LG) II and X where narrow QTLs for all traits co-localized. CONCLUSIONS: This study provides the most detailed analysis of QTL detection for phenology in Salix conducted so far. Several hotspot regions were found where QTLs for different traits and QTLs for the same trait but identified during different years co-localised. Many QTLs co-localised with QTLs found in poplar for similar traits that could indicate common pathways for these traits in Salicaceae. This study is an important first step in identifying QTLs and candidate genes for phenology traits in Salix. BioMed Central 2014-01-17 /pmc/articles/PMC3945485/ /pubmed/24438179 http://dx.doi.org/10.1186/1471-2229-14-31 Text en Copyright © 2014 Ghelardini et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Ghelardini, Luisa
Berlin, Sofia
Weih, Martin
Lagercrantz, Ulf
Gyllenstrand, Niclas
Rönnberg-Wästljung, Ann Christin
Genetic architecture of spring and autumn phenology in Salix
title Genetic architecture of spring and autumn phenology in Salix
title_full Genetic architecture of spring and autumn phenology in Salix
title_fullStr Genetic architecture of spring and autumn phenology in Salix
title_full_unstemmed Genetic architecture of spring and autumn phenology in Salix
title_short Genetic architecture of spring and autumn phenology in Salix
title_sort genetic architecture of spring and autumn phenology in salix
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3945485/
https://www.ncbi.nlm.nih.gov/pubmed/24438179
http://dx.doi.org/10.1186/1471-2229-14-31
work_keys_str_mv AT ghelardiniluisa geneticarchitectureofspringandautumnphenologyinsalix
AT berlinsofia geneticarchitectureofspringandautumnphenologyinsalix
AT weihmartin geneticarchitectureofspringandautumnphenologyinsalix
AT lagercrantzulf geneticarchitectureofspringandautumnphenologyinsalix
AT gyllenstrandniclas geneticarchitectureofspringandautumnphenologyinsalix
AT ronnbergwastljungannchristin geneticarchitectureofspringandautumnphenologyinsalix