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Genome-wide association of barley plant growth under drought stress using a nested association mapping population
BACKGROUND: Barley (Hordeum vulgare L.) is the fourth most important cereal crop worldwide. Barley production is compromised by many abiotic stresses including drought. Wild barley is a valuable source of alleles that can improve adaptation of cultivated barley to drought stress. RESULTS: In the pre...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458831/ https://www.ncbi.nlm.nih.gov/pubmed/30971212 http://dx.doi.org/10.1186/s12870-019-1723-0 |
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author | Pham, Anh-Tung Maurer, Andreas Pillen, Klaus Brien, Chris Dowling, Kate Berger, Bettina Eglinton, Jason K. March, Timothy J. |
author_facet | Pham, Anh-Tung Maurer, Andreas Pillen, Klaus Brien, Chris Dowling, Kate Berger, Bettina Eglinton, Jason K. March, Timothy J. |
author_sort | Pham, Anh-Tung |
collection | PubMed |
description | BACKGROUND: Barley (Hordeum vulgare L.) is the fourth most important cereal crop worldwide. Barley production is compromised by many abiotic stresses including drought. Wild barley is a valuable source of alleles that can improve adaptation of cultivated barley to drought stress. RESULTS: In the present study, a nested association mapping population named HEB-25, consisting of 1420 BC(1)S(3) lines that were developed by crossing 25 different wild barley accessions to the elite barley cultivar ‘Barke’, was evaluated under both control and drought-stressed conditions in the Australian Plant Phenomics Facility, University of Adelaide. Overall, 14 traits reflecting the performance of individual plants in each treatment were calculated from non-destructive imaging over time and destructive end-of-experiment measurements. For each trait, best linear unbiased estimators (BLUEs) were calculated and used for genome-wide association study (GWAS) analysis. Among the quantitative trait loci (QTL) identified for the 14 traits, many co-localise with known inflorescence and developmental genes. We identified a QTL on chromosome 4H where, under drought and control conditions, wild barley alleles increased biomass by 10 and 17% respectively compared to the Barke allele. CONCLUSIONS: Across all traits, QTL which increased phenotypic values were identified, providing a wider range of genetic diversity for the improvement of drought tolerance in barley. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12870-019-1723-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6458831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64588312019-04-22 Genome-wide association of barley plant growth under drought stress using a nested association mapping population Pham, Anh-Tung Maurer, Andreas Pillen, Klaus Brien, Chris Dowling, Kate Berger, Bettina Eglinton, Jason K. March, Timothy J. BMC Plant Biol Research Article BACKGROUND: Barley (Hordeum vulgare L.) is the fourth most important cereal crop worldwide. Barley production is compromised by many abiotic stresses including drought. Wild barley is a valuable source of alleles that can improve adaptation of cultivated barley to drought stress. RESULTS: In the present study, a nested association mapping population named HEB-25, consisting of 1420 BC(1)S(3) lines that were developed by crossing 25 different wild barley accessions to the elite barley cultivar ‘Barke’, was evaluated under both control and drought-stressed conditions in the Australian Plant Phenomics Facility, University of Adelaide. Overall, 14 traits reflecting the performance of individual plants in each treatment were calculated from non-destructive imaging over time and destructive end-of-experiment measurements. For each trait, best linear unbiased estimators (BLUEs) were calculated and used for genome-wide association study (GWAS) analysis. Among the quantitative trait loci (QTL) identified for the 14 traits, many co-localise with known inflorescence and developmental genes. We identified a QTL on chromosome 4H where, under drought and control conditions, wild barley alleles increased biomass by 10 and 17% respectively compared to the Barke allele. CONCLUSIONS: Across all traits, QTL which increased phenotypic values were identified, providing a wider range of genetic diversity for the improvement of drought tolerance in barley. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12870-019-1723-0) contains supplementary material, which is available to authorized users. BioMed Central 2019-04-11 /pmc/articles/PMC6458831/ /pubmed/30971212 http://dx.doi.org/10.1186/s12870-019-1723-0 Text en © The Author(s). 2019 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 Pham, Anh-Tung Maurer, Andreas Pillen, Klaus Brien, Chris Dowling, Kate Berger, Bettina Eglinton, Jason K. March, Timothy J. Genome-wide association of barley plant growth under drought stress using a nested association mapping population |
title | Genome-wide association of barley plant growth under drought stress using a nested association mapping population |
title_full | Genome-wide association of barley plant growth under drought stress using a nested association mapping population |
title_fullStr | Genome-wide association of barley plant growth under drought stress using a nested association mapping population |
title_full_unstemmed | Genome-wide association of barley plant growth under drought stress using a nested association mapping population |
title_short | Genome-wide association of barley plant growth under drought stress using a nested association mapping population |
title_sort | genome-wide association of barley plant growth under drought stress using a nested association mapping population |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6458831/ https://www.ncbi.nlm.nih.gov/pubmed/30971212 http://dx.doi.org/10.1186/s12870-019-1723-0 |
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