Molecular characterization of iron deficiency chlorosis in soybean

Lin, Shun Fun; Grant, David; Cianzio, Silvia R.; Shoemaker, Randy C.

doi:10.1080/01904160009382154

Cited by 57 publications

(67 citation statements)

References 16 publications

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“…The QTL detected for TP over combined years occurred in a manner similar to that reported by Lin et al (1997) using the same population to study iron stress. The QTL were noted in separate years and during different growth stages.…”

Section: Discussionsupporting

confidence: 56%

“…The current map was integrated with the original genetic map of the Anoka 9 A7 population generated by Lin et al (1997). The original map contained of 82 RFLP, 14 SSRs, and one morphological marker.…”

Section: Construction Of Genetic Linkage Mapsmentioning

confidence: 99%

“…The plant material used for QTL mapping soybean seed total phosphorus included 92 F 2:4 lines from Anoka 9 A7, which was previously used to identify a major QTL for Fe efficiency (Lin et al 1997). A7 was the Fe efficient parent developed through a recurrent selection program, and Anoka was an Fe inefficient cultivar (de Cianzio and Fehr 1980;Fehr et al 1984).…”

Section: Plant Materialsmentioning

confidence: 99%

“…Map order was determined using the ''three point'' command followed by ''order'', ''framework'', and ''place.'' Previous markers that formed linkage groups for this population (Lin et al 1997) were integrated into the SSR map. Additionally, 303 BARCSOYSSR markers (Song et al 2010) were surveyed for polymorphism to increase marker density on chromosomes with larger marker intervals.…”

Section: Construction Of the Genetic Linkage Mapsmentioning

confidence: 99%

“…A survey of mineral content and their interactions can provide information for breeding efforts directed toward increasing the concentration of some minerals and decreasing others. The population used in this study, Anoka 9 A7, had been previously characterized to have a major QTL for Fe efficiency on chromosome 3/LG N (Lin et al 1997). The objective of this research was to determine the extent of variation of total P in the Anoka 9 A7 mapping population in order to determine the efficacy of using total P as a selection factor in breeding and to map total P concentration as a QTL.…”

Section: Introductionmentioning

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: Discussionsupporting

confidence: 56%

Section: Construction Of Genetic Linkage Mapsmentioning

confidence: 99%

Section: Plant Materialsmentioning

confidence: 99%

Section: Construction Of the Genetic Linkage Mapsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluation and QTL mapping of phosphorus concentration in soybean seed

et al. 2012

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Molecular Mapping and Marker‐Assisted Selection of Quantitative Trait Loci in Plants

Prince

Ogundiwin

2004

Handbook of Plant Biotechnology

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Since the dawn of agriculture, mankind has tried to mould crop plants into more useful types. Over the years, experience and intuition led to the development of sophisticated and successful artificial selection (breeding) of many types of plants for human food, fibre, shelter, profit and pleasure. Just compare the cultivated tomato with some of its small‐ and green‐fruited relatives, or cultivated maize to teosinte. Most of this ‘improvement’ was probably through simple field selection and propagation of desirable genotypes. Scientifically based plant breeding, not appearing until the 20th century, has also had great successes in plant improvement, particularly in disease resistance and yield. Breeders have achieved good results for both single‐gene traits and polygenic traits, but the polygenic traits, encoded by multiple genes often referred to as quantitative trait loci (QTL), are much more difficult to work with. Advances in molecular genetics in the last 20 years have enabled the placement of molecular markers on to maps of the chromosomes of most major crop plants and the subsequent tagging of genes of interest by their placement near these markers. A major goal of these efforts is marker‐assisted selection (MAS), the use of molecular markers to track traits in breeding programmes. In this chapter, we will discuss the basics of molecular mapping in crop plants, the identification of the location of QTL and MAS. While not intended as an exhaustive review of the techniques nor of successes in this field, this chapter will provide lists of crops with linkage maps and QTLs identified to serve as entry points into the literature for investigators interested in pursuing this technology in a particular crop.

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