Cargando…

Two distinct classes of QTL determine rust resistance in sorghum

BACKGROUND: Agriculture is facing enormous challenges to feed a growing population in the face of rapidly evolving pests and pathogens. The rusts, in particular, are a major pathogen of cereal crops with the potential to cause large reductions in yield. Improving stable disease resistance is an on-g...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Xuemin, Mace, Emma, Hunt, Colleen, Cruickshank, Alan, Henzell, Robert, Parkes, Heidi, Jordan, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4335369/
https://www.ncbi.nlm.nih.gov/pubmed/25551674
http://dx.doi.org/10.1186/s12870-014-0366-4
_version_ 1782358331486109696
author Wang, Xuemin
Mace, Emma
Hunt, Colleen
Cruickshank, Alan
Henzell, Robert
Parkes, Heidi
Jordan, David
author_facet Wang, Xuemin
Mace, Emma
Hunt, Colleen
Cruickshank, Alan
Henzell, Robert
Parkes, Heidi
Jordan, David
author_sort Wang, Xuemin
collection PubMed
description BACKGROUND: Agriculture is facing enormous challenges to feed a growing population in the face of rapidly evolving pests and pathogens. The rusts, in particular, are a major pathogen of cereal crops with the potential to cause large reductions in yield. Improving stable disease resistance is an on-going major and challenging focus for many plant breeding programs, due to the rapidly evolving nature of the pathogen. Sorghum is a major summer cereal crop that is also a host for a rust pathogen Puccinia purpurea, which occurs in almost all sorghum growing areas of the world, causing direct and indirect yield losses in sorghum worldwide, however knowledge about its genetic control is still limited. In order to further investigate this issue, QTL and association mapping methods were implemented to study rust resistance in three bi-parental populations and an association mapping set of elite breeding lines in different environments. RESULTS: In total, 64 significant or highly significant QTL and 21 suggestive rust resistance QTL were identified representing 55 unique genomic regions. Comparisons across populations within the current study and with rust QTL identified previously in both sorghum and maize revealed a high degree of correspondence in QTL location. Negative phenotypic correlations were observed between rust, maturity and height, indicating a trend for both early maturing and shorter genotypes to be more susceptible to rust. CONCLUSIONS: The significant amount of QTL co-location across traits, in addition to the consistency in the direction of QTL allele effects, has provided evidence to support pleiotropic QTL action across rust, height, maturity and stay-green, supporting the role of carbon stress in susceptibility to rust. Classical rust resistance QTL regions that did not co-locate with height, maturity or stay-green QTL were found to be significantly enriched for the defence-related NBS-encoding gene family, in contrast to the lack of defence-related gene enrichment in multi-trait effect rust resistance QTL. The distinction of disease resistance QTL hot-spots, enriched with defence-related gene families from QTL which impact on development and partitioning, provides plant breeders with knowledge which will allow for fast-tracking varieties with both durable pathogen resistance and appropriate adaptive traits. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-014-0366-4) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4335369
institution National Center for Biotechnology Information
language English
publishDate 2014
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-43353692015-02-21 Two distinct classes of QTL determine rust resistance in sorghum Wang, Xuemin Mace, Emma Hunt, Colleen Cruickshank, Alan Henzell, Robert Parkes, Heidi Jordan, David BMC Plant Biol Research Article BACKGROUND: Agriculture is facing enormous challenges to feed a growing population in the face of rapidly evolving pests and pathogens. The rusts, in particular, are a major pathogen of cereal crops with the potential to cause large reductions in yield. Improving stable disease resistance is an on-going major and challenging focus for many plant breeding programs, due to the rapidly evolving nature of the pathogen. Sorghum is a major summer cereal crop that is also a host for a rust pathogen Puccinia purpurea, which occurs in almost all sorghum growing areas of the world, causing direct and indirect yield losses in sorghum worldwide, however knowledge about its genetic control is still limited. In order to further investigate this issue, QTL and association mapping methods were implemented to study rust resistance in three bi-parental populations and an association mapping set of elite breeding lines in different environments. RESULTS: In total, 64 significant or highly significant QTL and 21 suggestive rust resistance QTL were identified representing 55 unique genomic regions. Comparisons across populations within the current study and with rust QTL identified previously in both sorghum and maize revealed a high degree of correspondence in QTL location. Negative phenotypic correlations were observed between rust, maturity and height, indicating a trend for both early maturing and shorter genotypes to be more susceptible to rust. CONCLUSIONS: The significant amount of QTL co-location across traits, in addition to the consistency in the direction of QTL allele effects, has provided evidence to support pleiotropic QTL action across rust, height, maturity and stay-green, supporting the role of carbon stress in susceptibility to rust. Classical rust resistance QTL regions that did not co-locate with height, maturity or stay-green QTL were found to be significantly enriched for the defence-related NBS-encoding gene family, in contrast to the lack of defence-related gene enrichment in multi-trait effect rust resistance QTL. The distinction of disease resistance QTL hot-spots, enriched with defence-related gene families from QTL which impact on development and partitioning, provides plant breeders with knowledge which will allow for fast-tracking varieties with both durable pathogen resistance and appropriate adaptive traits. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12870-014-0366-4) contains supplementary material, which is available to authorized users. BioMed Central 2014-12-31 /pmc/articles/PMC4335369/ /pubmed/25551674 http://dx.doi.org/10.1186/s12870-014-0366-4 Text en © Wang et al.; licensee BioMed Central. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
Wang, Xuemin
Mace, Emma
Hunt, Colleen
Cruickshank, Alan
Henzell, Robert
Parkes, Heidi
Jordan, David
Two distinct classes of QTL determine rust resistance in sorghum
title Two distinct classes of QTL determine rust resistance in sorghum
title_full Two distinct classes of QTL determine rust resistance in sorghum
title_fullStr Two distinct classes of QTL determine rust resistance in sorghum
title_full_unstemmed Two distinct classes of QTL determine rust resistance in sorghum
title_short Two distinct classes of QTL determine rust resistance in sorghum
title_sort two distinct classes of qtl determine rust resistance in sorghum
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4335369/
https://www.ncbi.nlm.nih.gov/pubmed/25551674
http://dx.doi.org/10.1186/s12870-014-0366-4
work_keys_str_mv AT wangxuemin twodistinctclassesofqtldeterminerustresistanceinsorghum
AT maceemma twodistinctclassesofqtldeterminerustresistanceinsorghum
AT huntcolleen twodistinctclassesofqtldeterminerustresistanceinsorghum
AT cruickshankalan twodistinctclassesofqtldeterminerustresistanceinsorghum
AT henzellrobert twodistinctclassesofqtldeterminerustresistanceinsorghum
AT parkesheidi twodistinctclassesofqtldeterminerustresistanceinsorghum
AT jordandavid twodistinctclassesofqtldeterminerustresistanceinsorghum