4.7 Article

Genetic architecture is more complex for resistance to Septoria tritici blotch than to Fusarium head blight in Central European winter wheat

期刊

BMC GENOMICS
卷 16, 期 -, 页码 -

出版社

BMC
DOI: 10.1186/s12864-015-1628-8

关键词

Association mapping; Genomic selection; Hybrid wheat; Fusarium head blight; Septoria tritici blotch

资金

  1. BMBF within the HYWHEAT project [FKZ0315945D]

向作者/读者索取更多资源

Background: Fusarium head blight (FHB) and Septoria tritici blotch (STB) severely impair wheat production. With the aim to further elucidate the genetic architecture underlying FHB and STB resistance, we phenotyped 1604 European wheat hybrids and their 135 parental lines for FHB and STB disease severities and determined genotypes at 17,372 single-nucleotide polymorphic loci. Results: Cross-validated association mapping revealed the absence of large effect QTL for both traits. Genomic selection showed a three times higher prediction accuracy for FHB than STB disease severity for test sets largely unrelated to the training sets. Conclusions: Our findings suggest that the genetic architecture is less complex and, hence, can be more properly tackled to perform accurate prediction for FHB than STB disease severity. Consequently, FHB disease severity is an interesting model trait to fine-tune genomic selection models exploiting beyond relatedness also knowledge of the genetic architecture.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Agronomy

Maternal differences for the reaction to ergot in unfertilized hybrid rye (Secale cereale)

Anna Kodisch, Brigitta Schmiedchen, Jakob Eifler, Andres Gordillo, Dorthe Siekmann, Franz Joachim Fromme, Michael Oberforster, Thomas Miedaner

Summary: Claviceps purpurea causing ergot is a problem in CMS-based hybrid rye growing, and this study identified maternal differences in ergot infection in the absence of pollen. Spray and needle inoculation are suitable for testing unfertilized male-sterile rye materials, and testing across multiple environments is necessary. Selecting specific females has the potential to reduce ergot contamination further.

EUROPEAN JOURNAL OF PLANT PATHOLOGY (2022)

Article Biochemistry & Molecular Biology

SoySNP618K array: A high-resolution single nucleotide polymorphism platform as a valuable genomic resource for soybean genetics and breeding

Yan-Fei Li, Ying-Hui Li, Shan-Shan Su, Jochen C. Reif, Zhao-Ming Qi, Xiao-Bo Wang, Xing Wang, Yu Tian, De-Lin Li, Ru-Jian Sun, Zhang-Xiong Liu, Ze-Jun Xu, Guang-Hui Fu, Ya-Liang Ji, Qing-Shan Chen, Ji-Qiang Liu, Li-Juan Qiu

Summary: The development and validation of the SoySNP618K array, a genomic tool for soybean, is described. This array contains a large number of SNPs and can be used for gene bank management, population stratification analysis, and genome-wide association mapping. The array enables the fine-mapping of key genes influencing flowering and maturity time in soybean and demonstrates its importance in applied breeding and basic crop research.

JOURNAL OF INTEGRATIVE PLANT BIOLOGY (2022)

Editorial Material Biochemistry & Molecular Biology

Integration of genomic selection with doubled-haploid evaluation in hybrid breeding: From GS 1.0 to GS 4.0 and beyond

Junjie Fu, Yangfan Hao, Huihui Li, Jochen C. Reif, Shaojiang Chen, Changling Huang, Guoying Wang, Xinhai Li, Yunbi Xu, Liang Li

MOLECULAR PLANT (2022)

Review Agronomy

Hybrid wheat: quantitative genetic parameters and heterosis for quality and rheological traits as well as baking volume

Lea Schwarzwalder, Patrick Thorwarth, Yusheng Zhao, Jochen Christoph Reif, C. Friedrich H. Longin

Summary: Heterosis effects for dough quality and baking volume were close to zero, but hybrids showed higher grain yield at a given level of bread making quality compared to their parental lines. Wheat hybrids can combine high grain yield with high bread making quality, but the future use depends on a cost-efficient and reliable seed production system.

THEORETICAL AND APPLIED GENETICS (2022)

Article Agronomy

Dwarfing gene Rht24 does not affect Fusarium head blight resistance in a large European winter wheat diversity panel

Thomas Miedaner, Melissa Lenhardt, Janosch Grehl, Paul Gruner, Silvia Koch

Summary: This study investigated the effect of the Rht24b gene on Fusarium head blight (FHB) response in wheat and found that Rht24b had no significant impact on FHB severity, while Rht-D1b increased FHB susceptibility by 37%. The most resistant cultivars either had the Rht-D1 gene or Rht24b alone. The study also found that Rht24b reduced average plant height by 6.8 cm, while Rht-D1b conferred a reduction of 13.6 cm. For breeding short, FHB-resistant germplasm, the neutral Rht24 gene must be combined with other FHB-neutral QTL or Rht genes.

EUPHYTICA (2022)

Article Biotechnology & Applied Microbiology

A catalogue of resistance gene homologs and a chromosome-scale reference sequence support resistance gene mapping in winter wheat

Sandip M. Kale, Albert W. Schulthess, Sudharsan Padmarasu, Philipp H. G. Boeven, Johannes Schacht, Axel Himmelbach, Burkhard Steuernagel, Brande B. H. Wulff, Jochen C. Reif, Nils Stein, Martin Mascher

Summary: This article reports on the sequencing and assembly of resistance gene homologs in a diversity panel of winter wheat genotypes, as well as the construction of a chromosome-scale genome sequence assembly. It illustrates the value of this resource for breeders and geneticists through comparing resistance gene complements and conducting genome-wide association scans.

PLANT BIOTECHNOLOGY JOURNAL (2022)

Article Plant Sciences

Mining for New Sources of Resistance to Powdery Mildew in Genetic Resources of Winter Wheat

Valentin Hinterberger, Dimitar Douchkov, Stefanie Lueck, Sandip Kale, Martin Mascher, Nils Stein, Jochen C. Reif, Albert W. Schulthess

Summary: Genetic pathogen control is a cost-effective and sustainable alternative to chemical-based methods. In this study, we phenotyped a collection of winter wheat genotypes and identified genetic resistance mechanisms against powdery mildew, a major wheat pathogen. Through genome-wide association study and domain enrichment analysis, we discovered novel candidate genes for disease resistance in wheat.

FRONTIERS IN PLANT SCIENCE (2022)

Article Genetics & Heredity

Genomics-informed prebreeding unlocks the diversity in genebanks for wheat improvement

Albert W. Schulthess, Sandip M. Kale, Fang Liu, Yusheng Zhao, Norman Philipp, Maximilian Rembe, Yong Jiang, Ulrike Beukert, Albrecht Serfling, Axel Himmelbach, Jorg Fuchs, Markus Oppermann, Stephan Weise, Philipp H. G. Boeven, Johannes Schacht, C. Friedrich H. Longin, Sonja Kollers, Nina Pfeiffer, Viktor Korzun, Matthias Lange, Uwe Scholz, Nils Stein, Martin Mascher, Jochen C. Reif

Summary: This study implemented a genomics-informed prebreeding strategy for wheat improvement, which does not discriminate against nonadapted germplasm. By collecting and analyzing genetic profiles of a large winter wheat collection, the study identified potential donors of resistance sources not yet deployed in breeding. Through genomic prediction, the best parents were identified to be used in crosses with elite cultivars, leading to advanced progenies with higher yield than current wheat varieties in multiple field trials.

NATURE GENETICS (2022)

Article Biochemistry & Molecular Biology

Studying Stem Rust and Leaf Rust Resistances of Self-Fertile Rye Breeding Populations

Paul Gruner, Anne Witzke, Kerstin Flath, Jakob Eifler, Brigitta Schmiedchen, Malthe Schmidt, Andres Gordillo, Doerthe Siekmann, Franz Joachim Fromme, Silvia Koch, Hans-Peter Piepho, Thomas Miedaner

Summary: This study screened several breeding populations for resistance to stem rust and leaf rust and identified multiple genetic loci associated with resistance.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2022)

Article Multidisciplinary Sciences

Large-scale genotyping and phenotyping of a worldwide winter wheat genebank for its use in pre-breeding

Albert W. Schulthess, Sandip M. Kale, Yusheng Zhao, Abhishek Gogna, Maximilian Rembe, Norman Philipp, Fang Liu, Ulrike Beukert, Albrecht Serfling, Axel Himmelbach, Markus Oppermann, Stephan Weise, Philipp H. G. Boeven, Johannes Schacht, C. Friedrich H. Longin, Sonja Kollers, Nina Pfeiffer, Viktor Korzun, Anne Fiebig, Danuta Schueler, Matthias Lange, Uwe Scholz, Nils Stein, Martin Mascher, Jochen C. Reif

Summary: This study provides a basis for future breeding and research activities by conducting genomic sequencing and field trials on winter wheat genetic resources.

SCIENTIFIC DATA (2022)

Article Plant Sciences

Dynamic growth QTL action in diverse light environments: characterization of light regime-specific and stable QTL in Arabidopsis

Rhonda C. Meyer, Kathleen Weigelt-Fischer, Henning Tschiersch, Georgia Topali, Lothar Altschmied, Marc C. Heuermann, Dominic Knoch, Markus Kuhlmann, Yusheng Zhao, Thomas Altmann

Summary: Plant growth is influenced by numerous genetic and environmental factors. In this study, the genetic factors affecting plant performance under different light regimes were identified using high-throughput phenotyping and genome-wide association studies. The results showed that the identified quantitative trait loci (QTL) for leaf area, growth rate, and PSII efficiency were specific to different light conditions and displayed distinct temporal activity patterns. Several candidate genes were identified at consistently found QTL regions under both light regimes. These findings highlight the importance of considering environmental and temporal patterns of gene actions in understanding plant growth.

JOURNAL OF EXPERIMENTAL BOTANY (2023)

Article Genetics & Heredity

Optimizing Sparse Testing for Genomic Prediction of Plant Breeding Crops

Osval A. Montesinos-Lopez, Carolina Saint Pierre, Salvador A. Gezan, Alison R. Bentley, Brandon A. Mosqueda-Gonzalez, Abelardo Montesinos-Lopez, Fred van Eeuwijk, Yoseph Beyene, Manje Gowda, Keith Gardner, Guillermo S. Gerard, Leonardo Crespo-Herrera, Jose Crossa

Summary: This research evaluated four methods (M1-M4) for sparse testing allocation of lines to environments in genomic prediction. It found that the multi-trait model had better prediction accuracy than the uni-trait model, and methods M3 and M4 were slightly better for line allocation than methods M1 and M2.
Review Agronomy

Maximization through optimization? On the relationship between hybrid performance and parental genetic distance

Tobias Wuerschum, Xintian Zhu, Yusheng Zhao, Yong Jiang, Jochen C. Reif, Hans Peter Maurer

Summary: Heterosis refers to the improved performance of hybrid offspring compared with their parental components and is widely used in agriculture. The relationship between heterosis and genetic distance has been a topic of intensive research, but remains unclear. Experimental studies have found a positive association between heterosis and genetic distance, but the strength of this association varies. It is still unknown whether heterosis continues to increase with genetic distance or if there is an optimum genetic distance after which heterosis declines again.

THEORETICAL AND APPLIED GENETICS (2023)

Article Agronomy

Filtering for SNPs with high selective constraint augments mid-parent heterosis predictions in wheat (Triticum aestivum L.)

Abhishek Gogna, Jie Zhang, Yong Jiang, Albert W. Schulthess, Yusheng Zhao, Jochen C. Reif

Summary: This study investigates the contribution of deleterious alleles to the grain yield heterosis of wheat. It is found that including these low-frequency alleles in prediction models significantly improves accuracy. The study also highlights the difference in allele frequency between elite cultivars and plant genetic resources, suggesting the role of purifying selection. Additionally, the study explores the heterotic-quantitative trait loci underlying heterosis in different crosses.

CROP JOURNAL (2023)

暂无数据