Mapping of Iron and Zinc Quantitative Trait Loci in Soybean for Association to Iron Deficiency Chlorosis Resistance

King, Keith E.; Peiffer, Gregory A.; Reddy, Manju B.; Lauter, Nick; Lin, Shih Chang; Cianzio, Silvia R.; Shoemaker, Randy C.

doi:10.1080/01904167.2013.766804

Cited by 31 publications

(46 citation statements)

References 47 publications

(53 reference statements)

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“…Using Haldane's mapping function and summing over all linkage groups, there was a total of 2,722.09 cM flanked by linked markers. As reported by (King et al 2012; in press), the average length of the linkage groups was 136.10 cM ranging from 44.71 cM on chromosome 10 to 201.41 cM on chromosome 18. The average length of the marker intervals was 18.15 cM.…”

Section: Construction Of Genetic Linkage Mapsmentioning

confidence: 69%

“…The lack of higher marker density on chromosome 10 did not allow the detection of the other phosphate transporter as it was just outside the marker interval. Additionally, it was determined that a ZIP Fe/Zn transporter gene was in a QTL interval, which in previous work (King et al 2012; in press) identified suggestive QTL for both Fe and Zn accumulation and could potentially be a site of metal chelation. There is still work to be done in order to validate these TP QTL regions as well as the genes involved.…”

Section: Discussionmentioning

confidence: 99%

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Evaluation and QTL mapping of phosphorus concentration in soybean seed

et al. 2012

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Phosphorus (P) is an essential macronutrient required for many biological and metabolic plant functions. Phosphate is the form of P used by plants.Reducing the amount of P in the seed can further aide breeding efforts to reduce the amount of P released into the environment due to the indigestibility of the complexes formed with metal ions. Analysis of the variation of phosphorus concentration in soybean seed under non-stressed conditions revealed that phosphorus ranged from 3,948.1 to 5,695.8 lg/g total phosphorous (TP) in combined years. The averages for independent years were significantly different from one another. Quantitative trait loci (QTL) analysis of TP was performed to identify candidate gene(s) that is (are) involved in P accumulation in soybean seed. One putative QTL region was identified on chromosome 12 in the combined data that contained a phosphate transporter gene. Two additional suggestive QTL were identified on chromosomes 7 and 17 with chromosome 7 having both a phosphate transport gene and a ZIP transporter gene in the region of the QTL. There were additional genes in these regions that are involved in phosphate metabolism and transport.

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Section: Construction Of Genetic Linkage Mapsmentioning

confidence: 69%

Section: Discussionmentioning

confidence: 99%

Evaluation and QTL mapping of phosphorus concentration in soybean seed

et al. 2012

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“…The sole but minor effective QTL for Fe concentration on chromosome 3, qFe-3, was approximately co-localized with a QTL that was detected for a Fe efficiency QTL by Lin et al (2000). King et al (2013b) performed QTL analysis for seed P concentration and identified one putative QTL on chromosome 12 and two suggestive QTL on chromosomes 7 and 17. One QTL (qP-17) for seed total P concentration that was identified in our study, with 14.9 % PVE, was at the same chromosomal location as the suggestive QTL on chromosome 17 that was detected by King et al (2013b).…”

Section: Qtl For Mineral Elementsmentioning

confidence: 99%

Genetic architecture of biofortification traits in soybean (Glycine max L. Merr.) revealed through association analysis and linkage mapping

et al. 2014

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Seed mineral elements are essential not only for seed germination and seedling morphological formation but also for human health. The genetic dissection of seed mineral accumulation is important for mineral biofortification in soybean. However, the molecular mechanisms controlling mineral element accumulation are genetically complex because a number of genetic loci are involved in the metabolic pathways of mineral accumulation in seeds. The objective of this study was to detect the genetic loci for mineral concentrations in soybean seeds, including calcium (Ca), magnesium (Mg), iron (Fe), zinc (Zn) and phosphorus (P). Quantitative trait loci (QTL) mapping for the corresponding traits was performed in 184 recombinant inbred lines (RILs) and 219 cultivated soybean accessions. The data for each year and the average across 2 years were used for identification and mapping of QTL controlling seed mineral concentrations. Linkage mapping in the RILs identified totally 35 significant QTL for the five seed mineral concentrations in three cases, some of which were colocalized. Association mapping in the 219 accessions detected 28 single-nucleotide polymorphisms associated with the seed mineral concentrations. Among these, BARC-018099-02516, which was associated with seed Zn concentration, was located close to qZn-11-2. There were 20 putative mineral-related genes in interesting regions of mineral QTL. Three QTL for seed weight were mapped in the RILs, two QTL for seed weight were co-localized with seed Ca, Zn and P concentration QTL which anchored to the same region on chromosome 11. These results will provide a profound understanding of the genetic basis for seed mineral accumulation in soybean seeds and the foundation for mineral biofortification through marker-assisted selection breeding.

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“…A major QTL accounted for 57.3% of variation for low cadmium (Cd) in soybean (Jegadeesan et al 2010). A major QTL for seed Fe concentration explained 21.5% of the phenotypic variation (King et al 2013). Panthee et al (2006a, b) reported total S-containing amino acids (Cys + Met) with a population average of 1.26/100 g, in addition to detecting three QTLs, one of which explained up to 12.3% of total variation.…”

Section: Introductionmentioning

confidence: 99%

“…Studies on understanding genes and processes to improve seed nutritional composition by identifying quantitative trait loci (QTLs) were limited to a few minerals or nutrients in soybean (Jegadeesan et al 2010;King et al 2013;Panthee et al 2006a;Zhang et al 2009). Four QTLs for seed Ca concentration were detected, one of which accounted for up to 16.3% of variation (Zhang et al 2009).…”

Section: Introductionmentioning

confidence: 99%