| Abstract: | Seedling establishment and seed nutritional quality require the sequestration of sufficient element nutrients. The identification of genes and alleles that modify element content in the grains of cereals, including sorghum (Sorghum bicolor), is fundamental to developing breeding and selection methods aimed at increasing bioavailable element content and improving crop growth. We have developed a high-throughput work flow for the simultaneous measurement of multiple elements in sorghum seeds. We measured seed element levels in the genotyped Sorghum Association Panel, representing all major cultivated sorghum races from diverse geographic and climatic regions, and mapped alleles contributing to seed element variation across three environments by genome-wide association. We observed significant phenotypic and genetic correlation between several elements across multiple years and diverse environments. The power of combining high-precision measurements with genome-wide association was demonstrated by implementing rank transformation and a multilocus mixed model to map alleles controlling 20 element traits, identifying 255 loci affecting the sorghum seed ionome. Sequence similarity to genes characterized in previous studies identified likely causative genes for the accumulation of zinc, manganese, nickel, calcium, and cadmium in sorghum seeds. In addition to strong candidates for these five elements, we provide a list of candidate loci for several other elements. Our approach enabled the identification of single-nucleotide polymorphisms in strong linkage disequilibrium with causative polymorphisms that can be evaluated in targeted selection strategies for plant breeding and improvement.Sorghum (Sorghum bicolor) is a globally cultivated source of food, feed, and fiber. Contrasting needs for elemental nutrient accumulation limit crop yield and quality for sorghum marketed to different sectors. The seed-bearing reproductive organs, or panicles, in sorghum represent up to 30% of the total dry matter yield (Amaducci et al., 2004). Plant-based diets, in which grains compose the major food source, require the accumulation of bioavailable essential elements in the plant seeds. Currently, iron (Fe) and zinc (Zn) deficiencies negatively affect the health of over two billion people worldwide (World Health Organization, 2002). Increased bioavailable elemental nutrient content in the edible portions of sorghum for human and animal nutrition could ameliorate this nutritional crisis (Graham et al., 1999; World Health Organization, 2002). Additional global health benefits could be achieved by increasing magnesium (Mg), selenium (Se), calcium (Ca), and copper (Cu; White and Broadley, 2005) while reducing the concentration of toxic elements, including arsenic (As) and cadmium (Cd; Ma et al., 2008).Seed element accumulation results from interconnected biological processes, including element uptake by the roots, translocation and remobilization within the plant, and ultimately import, deposition, and assimilation/storage in the seeds. Element availability is further affected by the accumulation of metabolites in seeds (Vreugdenhil et al., 2004). High-throughput ionomic analysis, or concurrent measurement of multiple elements, allows for the quantitative and simultaneous measurement of an organism’s elemental composition, providing a snapshot of the functional state of an organism under different experimental conditions (Salt et al., 2008). Most studies of the plant ionome utilize inductively coupled plasma mass spectroscopy (ICP-MS). Briefly, inductively coupled plasma (ICP) functions to ionize the analyte into atoms, which are then detected by mass spectroscopy. Reference standards are used to identify and quantitate each element of interest in the sample. ICP-MS analysis can be accomplished in as little as 1 min per sample, which allows for high-throughput processing of thousands of samples (Salt et al., 2008). Previous studies have demonstrated that several elements, including Fe, manganese (Mn), Zn, cobalt (Co), and Cd, share mechanisms of accumulation (Yi and Guerinot, 1996; Vert et al., 2002; Connolly et al., 2003). Ionomic signatures derived from multiple elements also have been shown to better predict plant physiological status for some elements than the measure of the element’s concentration, including essential nutrients like Fe (Baxter et al., 2008). Holistically examining the ionome provides significant insights into the networks underlying ion homeostasis beyond single-element studies (Baxter and Dilkes, 2012).There are over 45,000 catalogued lines of sorghum at the U.S. Department of Agriculture Germplasm Resource Information Network. This diverse collection of sorghum germplasm contains genetic variation with undiscovered impact on seed element composition (Das et al., 1997). Mapping quantitative trait loci for seed element concentration has been successful in a number of species, including Arabidopsis (Arabidopsis thaliana; Vreugdenhil et al., 2004; Waters and Grusak, 2008; Buescher et al., 2010), rice (Oryza sativa; Norton et al., 2010; Zhang et al., 2014), wheat (Triticum aestivum; Shi et al., 2008; Peleg et al., 2009), and maize (Zea mays; Simić et al., 2012; Baxter et al., 2013, 2014). Genome-wide association (GWA) mapping is well suited for uncovering the genetic basis for complex traits, including seed element accumulation. One of the key strengths of association mapping is that a priori knowledge is not necessary to identify new loci associated with the trait of interest. Furthermore, a GWA mapping population is composed of lines that have undergone numerous recombination events, allowing for a narrower mapping interval. Previous GWA studies in maize (Tian et al., 2011), rice (Huang et al., 2010), and sorghum (Morris et al., 2013) have been successful in identifying the genetic basis for various agronomic traits. Here, we analyzed the seed ionome from a community-generated association panel to identify potential loci underlying seed element accumulation in sorghum. |
