Literature DB >> 26896393

Integration of Experiments across Diverse Environments Identifies the Genetic Determinants of Variation in Sorghum bicolor Seed Element Composition.

Nadia Shakoor1, Greg Ziegler1, Brian P Dilkes1, Zachary Brenton1, Richard Boyles1, Erin L Connolly1, Stephen Kresovich1, Ivan Baxter2.   

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.
© 2016 American Society of Plant Biologists. All Rights Reserved.

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Year:  2016        PMID: 26896393      PMCID: PMC4825124          DOI: 10.1104/pp.15.01971

Source DB:  PubMed          Journal:  Plant Physiol        ISSN: 0032-0889            Impact factor:   8.340


  43 in total

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3.  Genetic architecture of root and shoot ionomes in rice (Oryza sativa L.).

Authors:  Joshua N Cobb; Chen Chen; Yuxin Shi; Lyza G Maron; Danni Liu; Mike Rutzke; Anthony Greenberg; Eric Craft; Jon Shaff; Edyth Paul; Kazi Akther; Shaokui Wang; Leon V Kochian; Dabao Zhang; Min Zhang; Susan R McCouch
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5.  The Interaction of Genotype and Environment Determines Variation in the Maize Kernel Ionome.

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6.  Genome-wide association analysis of seedling traits in diverse Sorghum germplasm under thermal stress.

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7.  Genetic Nature of Elemental Contents in Wheat Grains and Its Genomic Prediction: Toward the Effective Use of Wheat Landraces from Afghanistan.

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8.  Multivariate Analysis of the Cotton Seed Ionome Reveals a Shared Genetic Architecture.

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9.  The Sorghum QTL Atlas: a powerful tool for trait dissection, comparative genomics and crop improvement.

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10.  Expression of Genes for Si Uptake, Accumulation, and Correlation of Si with Other Elements in Ionome of Maize Kernel.

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