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      Exome sequencing of bulked segregants identified a novel TaMKK3- A allele linked to the wheat ERA8 ABA-hypersensitive germination phenotype

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          Abstract

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          Using bulked segregant analysis of exome sequence, we fine-mapped the ABA-hypersensitive mutant ERA8 in a wheat backcross population to the TaMKK3- A locus of chromosome 4A.

          Abstract

          Preharvest sprouting (PHS) is the germination of mature grain on the mother plant when it rains before harvest. The ENHANCED RESPONSE TO ABA8 ( ERA8) mutant increases seed dormancy and, consequently, PHS tolerance in soft white wheat ‘Zak.’ ERA8 was mapped to chromosome 4A in a Zak/‘Zak ERA8’ backcross population using bulked segregant analysis of exome sequenced DNA (BSA-exome-seq). ERA8 was fine-mapped relative to mutagen-induced SNPs to a 4.6 Mb region containing 70 genes. In the backcross population, the ERA8 ABA-hypersensitive phenotype was strongly linked to a missense mutation in TaMKK3- A- G1093A (LOD 16.5), a gene associated with natural PHS tolerance in barley and wheat. The map position of ERA8 was confirmed in an ‘Otis’/Zak ERA8 but not in a ‘Louise’/Zak ERA8 mapping population. This is likely because Otis carries the same natural PHS susceptible MKK3- A- A660 S allele as Zak, whereas Louise carries the PHS-tolerant MKK3- A-C660 R allele. Thus, the variation for grain dormancy and PHS tolerance in the Louise/Zak ERA8 population likely resulted from segregation of other loci rather than segregation for PHS tolerance at the MKK3 locus. This inadvertent complementation test suggests that the MKK3- A- G1093A mutation causes the ERA8 phenotype. Moreover, MKK3 was a known ABA signaling gene in the 70-gene 4.6 Mb ERA8 interval. None of these 70 genes showed the differential regulation in wild-type Zak versus ERA8 expected of a promoter mutation. Thus, the working model is that the ERA8 phenotype results from the MKK3- A- G1093A mutation.

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          The online version of this article (10.1007/s00122-019-03503-0) contains supplementary material, which is available to authorized users.

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          R/qtl: QTL mapping in experimental crosses

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            A simple regression method for mapping quantitative trait loci in line crosses using flanking markers.

            The use of flanking marker methods has proved to be a powerful tool for the mapping of quantitative trait loci (QTL) in the segregating generations derived from crosses between inbred lines. Methods to analyse these data, based on maximum-likelihood, have been developed and provide good estimates of QTL effects in some situations. Maximum-likelihood methods are, however, relatively complex and can be computationally slow. In this paper we develop methods for mapping QTL based on multiple regression which can be applied using any general statistical package. We use the example of mapping in an F(2) population and show that these regression methods produce very similar results to those obtained using maximum likelihood. The relative simplicity of the regression methods means that models with more than a single QTL can be explored and we give examples of two lined loci and of two interacting loci. Other models, for example with more than two QTL, with environmental fixed effects, with between family variance or for threshold traits, could be fitted in a similar way. The ease, speed of application and generality of regression methods for flanking marker analysis, and the good estimates they obtain, suggest that they should provide the method of choice for the analysis of QTL mapping data from inbred line crosses.
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              Wheat.

              P. Shewry (2009)
              Wheat is the dominant crop in temperate countries being used for human food and livestock feed. Its success depends partly on its adaptability and high yield potential but also on the gluten protein fraction which confers the viscoelastic properties that allow dough to be processed into bread, pasta, noodles, and other food products. Wheat also contributes essential amino acids, minerals, and vitamins, and beneficial phytochemicals and dietary fibre components to the human diet, and these are particularly enriched in whole-grain products. However, wheat products are also known or suggested to be responsible for a number of adverse reactions in humans, including intolerances (notably coeliac disease) and allergies (respiratory and food). Current and future concerns include sustaining wheat production and quality with reduced inputs of agrochemicals and developing lines with enhanced quality for specific end-uses, notably for biofuels and human nutrition.
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                Author and article information

                Contributors
                camille.steber@usda.gov
                Journal
                Theor Appl Genet
                Theor. Appl. Genet
                TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0040-5752
                1432-2242
                28 January 2020
                28 January 2020
                2020
                : 133
                : 3
                : 719-736
                Affiliations
                [1 ]GRID grid.30064.31, ISNI 0000 0001 2157 6568, Molecular Plant Sciences, Department of Crop and Soil Sciences, , Washington State University, ; Pullman, WA 99164-6420 USA
                [2 ]GRID grid.30064.31, ISNI 0000 0001 2157 6568, Department of Crop and Soil Sciences, , Washington State University, ; Pullman, WA 99164-6420 USA
                [3 ]GRID grid.420132.6, John Innes Centre, , Norwich Research Park, ; Norwich, NR4 7UH UK
                [4 ]GRID grid.30064.31, ISNI 0000 0001 2157 6568, USDA-ARS Wheat Genetics, Quality, Physiology and Disease Research Unit, , Washington State University, ; Pullman, WA 99164-6420 USA
                Author notes

                Communicated by Mark E. Sorrells.

                Author information
                http://orcid.org/0000-0002-4545-2145
                http://orcid.org/0000-0003-3516-303X
                http://orcid.org/0000-0002-1577-2949
                http://orcid.org/0000-0001-9700-0864
                http://orcid.org/0000-0002-9814-1770
                http://orcid.org/0000-0001-6255-7670
                Article
                3503
                10.1007/s00122-019-03503-0
                7021667
                31993676
                237cb80e-38ef-4303-8390-f6bc8b965faf
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 26 September 2019
                : 6 December 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100005825, National Institute of Food and Agriculture;
                Award ID: 2015-05798
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100011502, Washington Grain Commission;
                Funded by: Royal Society FLAIR Fellowship
                Award ID: FLR_R1_191850
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100000268, Biotechnology and Biological Sciences Research Council;
                Award ID: BB/P016855/1
                Award Recipient :
                Categories
                Original Article
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2020

                Genetics
                Genetics

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