Phenotypic and genomic analyses of a fast neutron mutant population resource in soybean |
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Authors: | Bolon Yung-Tsi Haun William J Xu Wayne W Grant David Stacey Minviluz G Nelson Rex T Gerhardt Daniel J Jeddeloh Jeffrey A Stacey Gary Muehlbauer Gary J Orf James H Naeve Seth L Stupar Robert M Vance Carroll P |
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Affiliation: | Plant Science Research Unit, United States Department of Agriculture-Agricultural Research Service, St. Paul, Minnesota 55108, USA. hsie0024@umn.edu |
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Abstract: | Mutagenized populations have become indispensable resources for introducing variation and studying gene function in plant genomics research. In this study, fast neutron (FN) radiation was used to induce deletion mutations in the soybean (Glycine max) genome. Approximately 120,000 soybean seeds were exposed to FN radiation doses of up to 32 Gray units to develop over 23,000 independent M2 lines. Here, we demonstrate the utility of this population for phenotypic screening and associated genomic characterization of striking and agronomically important traits. Plant variation was cataloged for seed composition, maturity, morphology, pigmentation, and nodulation traits. Mutants that showed significant increases or decreases in seed protein and oil content across multiple generations and environments were identified. The application of comparative genomic hybridization (CGH) to lesion-induced mutants for deletion mapping was validated on a midoleate x-ray mutant, M23, with a known FAD2-1A (for fatty acid desaturase) gene deletion. Using CGH, a subset of mutants was characterized, revealing deletion regions and candidate genes associated with phenotypes of interest. Exome resequencing and sequencing of PCR products confirmed FN-induced deletions detected by CGH. Beyond characterization of soybean FN mutants, this study demonstrates the utility of CGH, exome sequence capture, and next-generation sequencing approaches for analyses of mutant plant genomes. We present this FN mutant soybean population as a valuable public resource for future genetic screens and functional genomics research. |
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