Development and utilization of a new chemically‐induced soybean library with a high mutation density

Abstract

Mutagenized populations have provided important materials for introducing variation and identifying gene function in plants. In this study, an ethyl methanesulfonate (EMS)‐induced soybean (Glycine max) population, consisting of 21,600 independent M2 lines, was developed. Over 1,000 M4 (5) families, with diverse abnormal phenotypes for seed composition, seed shape, plant morphology and maturity that are stably expressed across different environments and generations were identified. Phenotypic analysis of the population led to the identification of a yellow pigmentation mutant, gyl, that displayed significantly decreased chlorophyll (Chl) content and abnormal chloroplast development. Sequence analysis showed that gyl is allelic to MinnGold, where a different single nucleotide polymorphism variation in the Mg‐chelatase subunit gene (ChlI1a) results in golden yellow leaves. A cleaved amplified polymorphic sequence marker was developed and may be applied to marker‐assisted selection for the golden yellow phenotype in soybean breeding. We show that the newly developed soybean EMS mutant population has potential for functional genomics research and genetic improvement in soybean.

RAPD Analysis for Genetic Variability Detection of Mutant Soybean (<i>Glycine max</i> (L.) Merr)

“…One soybean mutant (1 % EMS and 8 hours incubation) was not included in the clustering analysis because the seeds cannot grow caused by the toxicity of EMS. This condition was in accordance with the result of Li et al (2017) that a high concentration of EMS showed reduced emergence and physiological damage, including inhibition of the main stem even failed to grow. The dendrogram of genetic relationship resulted in 2 major groups (Figure 3).…”

Assessment of Phenotypic Variations and Correlation among Seed Composition Traits in Mutagenized Soybean Populations

“…The first soybean TILLING platform was established in 2008, in which four independent mutagenized populations were produced with a range of mutation densities from~1/140 kb to~1/550 kb using both EMS and N-nitroso-N-methylurea (NMU) [30]. Since then, multiple soybean mutant libraries were developed for trait improvement and functional gene analyses [31][32][33][34]. However, in most cases, raw data from seed composition traits including protein, oil, fatty acids, and carbohydrates were not available to perform the correlation analysis.…”

Identification of the dwarf gene GmDW1 in soybean (Glycine max L.) by combining mapping-by-sequencing and linkage analysis

“…The seeds of soybean ( Glycine max ) cultivars Zhongpin 661(Zp661, ZDD23893), Jidou 12 (JD12, ZDD23040), and Zhonghuang 13 (Zh13, ZDD23876), together with eight other soybean accessions for the allelic variations tests in GmDW1 (Table 8 ), were obtained from the National Crop Gene Bank, Chinese Academy of Agricultural Sciences. The dw dwarf mutant was isolated from an EMS-mutagenized M3 line in the genetic background of Zp661, which was derived from a cross between the soybean cultivar Williams (PI 548631) and Buffalo (PI 424131) (Li et al 2017 ).…”

“…However, d53 is a rice SL-insensitive mutant and the reduced height does not respond to exogenous SL treatment due to a gain-of-function mutation in the D53 protein, acting as a repressor of SL signaling (Zhou et al 2013 ). In soybean, increasing numbers of mutants causing dwarfing have been also identified; these mutants occur following ionizing (gamma rays and fast neutrons) radiation (Zhang et al 2014 ; Hwang et al 2015 ; Cheng et al 2016 ) and/or chemical mutagenesis-generated populations (Li et al 2017 ). However, except for the peroxidase-encoding gene underlying the del3 - 15 locus on chromosome 15 (Hwang et al 2015 ), few dwarf genes have been cloned and characterized to date.…”