Molecular characterization of genomic regions for resistance to Pythium ultimum var. ultimum in the soybean cultivar Magellan
- PMID: 30443655
- DOI: 10.1007/s00122-018-3228-x
Molecular characterization of genomic regions for resistance to Pythium ultimum var. ultimum in the soybean cultivar Magellan
Abstract
Two novel QTL for resistance to Pythium ultimum var. ultimum were identified in soybean using an Illumina SNP Chip and whole genome re-sequencing. Pythium ultimum var. ultimum is one of numerous Pythium spp. that causes severe pre- and post-emergence damping-off of seedlings and root rot of soybean [Glycine max (L.) Merr.]. The objective of this research was to identify quantitative trait loci (QTL) for resistance to P. ultimum var. ultimum in a recombinant inbred line population derived from a cross of 'Magellan' (moderately resistant) and PI 438489B (susceptible). Two different mapping approaches were utilized: the universal soybean linkage panel (USLP 1.0) and the bin map constructed from whole genome re-sequencing (WGRS) technology. Two genomic regions associated with variation in three disease-related parameters were detected using both approaches, with the bin map providing higher resolution. Using WGRS, the first QTL were mapped within a 350-kbp region on Chr. 6 and explained 7.5-13.5% of the phenotypic variance. The second QTL were positioned in a 260-kbp confidence interval on Chr. 8 and explained 6.3-16.8% of the phenotypic variation. Candidate genes potentially associated with disease resistance were proposed. High-resolution genetic linkage maps with a number of significant SNP markers could benefit marker-assisted breeding and dissection of the molecular mechanisms underlying soybean resistance to Pythium damping-off in 'Magellan.' Additionally, the outputs of this study may encourage more screening of diverse soybean germplasm and utilization of genome-wide association studies to understand the genetic basis of quantitative disease resistance.
Similar articles
-
Genetic mapping and haplotype analysis of a locus for quantitative resistance to Fusarium graminearum in soybean accession PI 567516C.Theor Appl Genet. 2017 May;130(5):999-1010. doi: 10.1007/s00122-017-2866-8. Epub 2017 Mar 8. Theor Appl Genet. 2017. PMID: 28275816
-
Mapping Quantitative Trait Loci for Tolerance to Pythium irregulare in Soybean (Glycine max L.).G3 (Bethesda). 2018 Oct 3;8(10):3155-3161. doi: 10.1534/g3.118.200368. G3 (Bethesda). 2018. PMID: 30111618 Free PMC article.
-
Evaluation of Major Ancestors of North American Soybean Cultivars for Resistance to Three Pythium Species that Cause Seedling Blight.Plant Dis. 2018 Nov;102(11):2241-2252. doi: 10.1094/PDIS-09-17-1341-RE. Epub 2018 Sep 17. Plant Dis. 2018. PMID: 30222055
-
Advancements in breeding, genetics, and genomics for resistance to three nematode species in soybean.Theor Appl Genet. 2016 Dec;129(12):2295-2311. doi: 10.1007/s00122-016-2816-x. Epub 2016 Oct 28. Theor Appl Genet. 2016. PMID: 27796432 Review.
-
Characterization of Disease Resistance Loci in the USDA Soybean Germplasm Collection Using Genome-Wide Association Studies.Phytopathology. 2016 Oct;106(10):1139-1151. doi: 10.1094/PHYTO-01-16-0042-FI. Epub 2016 Jul 11. Phytopathology. 2016. PMID: 27135674 Review.
Cited by
-
Pythium Damping-Off and Root Rot of Capsicum annuum L.: Impacts, Diagnosis, and Management.Microorganisms. 2021 Apr 13;9(4):823. doi: 10.3390/microorganisms9040823. Microorganisms. 2021. PMID: 33924471 Free PMC article. Review.
-
Breeding for disease resistance in soybean: a global perspective.Theor Appl Genet. 2022 Nov;135(11):3773-3872. doi: 10.1007/s00122-022-04101-3. Epub 2022 Jul 5. Theor Appl Genet. 2022. PMID: 35790543 Free PMC article. Review.
-
Identification of Quantitative Disease Resistance Loci Toward Four Pythium Species in Soybean.Front Plant Sci. 2021 Mar 30;12:644746. doi: 10.3389/fpls.2021.644746. eCollection 2021. Front Plant Sci. 2021. PMID: 33859662 Free PMC article.
-
Pea Breeding for Resistance to Rhizospheric Pathogens.Plants (Basel). 2022 Oct 10;11(19):2664. doi: 10.3390/plants11192664. Plants (Basel). 2022. PMID: 36235530 Free PMC article. Review.
-
Genetic analysis of protein content and oil content in soybean by genome-wide association study.Front Plant Sci. 2023 Jun 6;14:1182771. doi: 10.3389/fpls.2023.1182771. eCollection 2023. Front Plant Sci. 2023. PMID: 37346139 Free PMC article.
References
MeSH terms
LinkOut - more resources
Full Text Sources
Research Materials
Miscellaneous