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Genetic architecture and temporal patterns of biomass accumulation in spring barley revealed by image analysis
BACKGROUND: Genetic mapping of phenotypic traits generally focuses on a single time point, but biomass accumulates continuously during plant development. Resolution of the temporal dynamics that affect biomass recently became feasible using non-destructive imaging. RESULTS: With the aim to identify...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5554006/ https://www.ncbi.nlm.nih.gov/pubmed/28797222 http://dx.doi.org/10.1186/s12870-017-1085-4 |
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author | Neumann, Kerstin Zhao, Yusheng Chu, Jianting Keilwagen, Jens Reif, Jochen C. Kilian, Benjamin Graner, Andreas |
author_facet | Neumann, Kerstin Zhao, Yusheng Chu, Jianting Keilwagen, Jens Reif, Jochen C. Kilian, Benjamin Graner, Andreas |
author_sort | Neumann, Kerstin |
collection | PubMed |
description | BACKGROUND: Genetic mapping of phenotypic traits generally focuses on a single time point, but biomass accumulates continuously during plant development. Resolution of the temporal dynamics that affect biomass recently became feasible using non-destructive imaging. RESULTS: With the aim to identify key genetic factors for vegetative biomass formation from the seedling stage to flowering, we explored growth over time in a diverse collection of two-rowed spring barley accessions. High heritabilities facilitated the temporal analysis of trait relationships and identification of quantitative trait loci (QTL). Biomass QTL tended to persist only a short period during early growth. More persistent QTL were detected around the booting stage. We identified seven major biomass QTL, which together explain 55% of the genetic variance at the seedling stage, and 43% at the booting stage. Three biomass QTL co-located with genes or QTL involved in phenology. The most important locus for biomass was independent from phenology and is located on chromosome 7HL at 141 cM. This locus explained ~20% of the genetic variance, was significant over a long period of time and co-located with HvDIM, a gene involved in brassinosteroid synthesis. CONCLUSIONS: Biomass is a dynamic trait and is therefore orchestrated by different QTL during early and late growth stages. Marker-assisted selection for high biomass at booting stage is most effective by also including favorable alleles from seedling biomass QTL. Selection for dynamic QTL may enhance genetic gain for complex traits such as biomass or, in the future, even grain yield. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-017-1085-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5554006 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55540062017-08-15 Genetic architecture and temporal patterns of biomass accumulation in spring barley revealed by image analysis Neumann, Kerstin Zhao, Yusheng Chu, Jianting Keilwagen, Jens Reif, Jochen C. Kilian, Benjamin Graner, Andreas BMC Plant Biol Research Article BACKGROUND: Genetic mapping of phenotypic traits generally focuses on a single time point, but biomass accumulates continuously during plant development. Resolution of the temporal dynamics that affect biomass recently became feasible using non-destructive imaging. RESULTS: With the aim to identify key genetic factors for vegetative biomass formation from the seedling stage to flowering, we explored growth over time in a diverse collection of two-rowed spring barley accessions. High heritabilities facilitated the temporal analysis of trait relationships and identification of quantitative trait loci (QTL). Biomass QTL tended to persist only a short period during early growth. More persistent QTL were detected around the booting stage. We identified seven major biomass QTL, which together explain 55% of the genetic variance at the seedling stage, and 43% at the booting stage. Three biomass QTL co-located with genes or QTL involved in phenology. The most important locus for biomass was independent from phenology and is located on chromosome 7HL at 141 cM. This locus explained ~20% of the genetic variance, was significant over a long period of time and co-located with HvDIM, a gene involved in brassinosteroid synthesis. CONCLUSIONS: Biomass is a dynamic trait and is therefore orchestrated by different QTL during early and late growth stages. Marker-assisted selection for high biomass at booting stage is most effective by also including favorable alleles from seedling biomass QTL. Selection for dynamic QTL may enhance genetic gain for complex traits such as biomass or, in the future, even grain yield. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-017-1085-4) contains supplementary material, which is available to authorized users. BioMed Central 2017-08-10 /pmc/articles/PMC5554006/ /pubmed/28797222 http://dx.doi.org/10.1186/s12870-017-1085-4 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Neumann, Kerstin Zhao, Yusheng Chu, Jianting Keilwagen, Jens Reif, Jochen C. Kilian, Benjamin Graner, Andreas Genetic architecture and temporal patterns of biomass accumulation in spring barley revealed by image analysis |
title | Genetic architecture and temporal patterns of biomass accumulation in spring barley revealed by image analysis |
title_full | Genetic architecture and temporal patterns of biomass accumulation in spring barley revealed by image analysis |
title_fullStr | Genetic architecture and temporal patterns of biomass accumulation in spring barley revealed by image analysis |
title_full_unstemmed | Genetic architecture and temporal patterns of biomass accumulation in spring barley revealed by image analysis |
title_short | Genetic architecture and temporal patterns of biomass accumulation in spring barley revealed by image analysis |
title_sort | genetic architecture and temporal patterns of biomass accumulation in spring barley revealed by image analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5554006/ https://www.ncbi.nlm.nih.gov/pubmed/28797222 http://dx.doi.org/10.1186/s12870-017-1085-4 |
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