Mapping and confirmation of loci for salt tolerance in a novel soybean germplasm, Fiskeby III

Abstract

The confirmation of a major locus associated with salt tolerance and mapping of a new locus, which could be beneficial for improving salt tolerance in soybean. Breeding soybean for tolerance to high salt conditions is important in some regions of the USA and world. Soybean cultivar Fiskeby III (PI 438471) in maturity group 000 has been reported to be highly tolerant to multiple abiotic stress conditions, including salinity. In this study, a mapping population of 132 F families derived from a cross of cultivar Williams 82 (PI 518671, moderately salt sensitive) and Fiskeby III (salt tolerant) was analyzed to map salt tolerance genes. The evaluation for salt tolerance was performed by analyzing leaf scorch score (LSS), chlorophyll content ratio (CCR), leaf sodium content (LSC), and leaf chloride content (LCC) after treatment with 120 mM NaCl under greenhouse conditions. Genotypic data for the F population were obtained using the SoySNP6K Illumina Infinium BeadChip assay. A major allele from Fiskeby III was significantly associated with LSS, CCR, LSC, and LCC on chromosome (Chr.) 03 with LOD scores of 19.1, 11.0, 7.7 and 25.6, respectively. In addition, a second locus associated with salt tolerance for LSC was detected and mapped on Chr. 13 with an LOD score of 4.6 and an R of 0.115. Three gene-based polymorphic molecular markers (Salt-20, Salt14056 and Salt11655) on Chr.03 showed a strong predictive association with phenotypic salt tolerance in the present mapping population. These molecular markers will be useful for marker-assisted selection to improve salt tolerance in soybean.

Physiological and transcriptional responses to salt stress in salt‐tolerant and salt‐sensitive soybean (Glycine max[L.] Merr.) seedlings

“…Chlorophyll content, as an indicator of photosynthetic function (Guo et al, ), generally decreased in soybean under salt stress conditions (Do et al, ; Lenis et al, ; Patil et al, ). Consistently, in this study, the relative chlorophyll content of the salt‐tolerant soybean lines was higher than that of the soybean salt‐sensitive lines.…”

“…03 and Chr. 13) significantly associated with leaf sodium content have been reported (Do et al, 2017). Hamwieh et al (2011) considered that another gene might affect or interact with the salt tolerance gene on Chr.…”

The Soybean Gene J Contributes to Salt Stress Tolerance by Up-Regulating Salt-Responsive Genes

“…Therefore, improving salt tolerance in soybean is essential to ensure future soybean yields. Some natural variations at the seedling stage in soybean have been identified through quantitative trait locus (QTL) mapping and genome-wide association studies (Lee et al, 2004;Chen et al, 2008;Hamwieh and Xu, 2008;Hamwieh et al, 2011;Ha et al, 2013;Guan et al, 2014;Patil et al, 2016;Zeng et al, 2017;Do et al, 2018). For instance, a major salt-tolerant QTL located on Chr.3 (linkage group N) has been identified repeatedly using different soybean-mapping populations (Lee et al, 2004;Hamwieh and Xu, 2008;Hamwieh et al, 2011;Ha et al, 2013).…”

New Proposals to Estimate Unbiased Selection Gain and Coefficient of Variation in Traits Evaluated Using Score Scales

“…; Akpertey et al, 2018], and wheat (Triticum aestivum L.; Iqbal et al, 2016); vigor in chickpea (Cicer arietinum L.; Sivasakthi et al, 2018); leaf senescence and leaf rolling in maize (Zea mays L.; Soni et al, 2018); herbicide tolerance in lentils (Lens culinaris Medik. ; Sharma et al, 2018); salt tolerance in soybean (Do et al, 2018); injury caused by pests in cotton (Gossypium hirsutum…”

“…; Akpertey et al, 2018], and wheat (Triticum aestivum L.; Iqbal et al, 2016); vigor in chickpea (Cicer arietinum L.; Sivasakthi et al, 2018); leaf senescence and leaf rolling in maize (Zea mays L.; Soni et al, 2018); herbicide tolerance in lentils (Lens culinaris Medik. ; Sharma et al, 2018); salt tolerance in soybean (Do et al, 2018); injury caused by pests in cotton (Gossypium hirsutum ABSTRACT In plant breeding, several multicategorical variables are evaluated using score scales that are treated as interval scales. However, statistics that use ratio operations, such as the experimental CV and the selection gain, are only appropriate for ratio scales data.…”