Concepts in plant metabolomics : [derived from presentations by Basil J Nikolau; Eve Syrkin Wurtele

By Basil J Nikolau; Eve Syrkin Wurtele

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Additional resources for Concepts in plant metabolomics : [derived from presentations made at the 3rd International Congress of Plant Metabolomics, which was held in 2004 at Iowa State University, Ames, Iowa]

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If there is a significant interaction between genotype and replicate, this suggests the presence of genotype × environment interactions. Previous metabolite profiling and 3. , 2002a). One option to minimize this is that each line should be repeated enough times per replicate to allow for QTL analysis within each replicate as there could be different QTL identified depending upon environmental fluctuation. Additionally, the researcher could attempt to better control the environmental variance by controlling the growth conditions between replicates to minimize this difficulty.

These 3. Metabolomics and QTL Analysis 35 A A) 1 B 2 D C 5 3 4 E B) 6a H 6b G A, B, C … H C) ∑ i i= A D) F D E H E i=F i=D ∑i ∑i G H E E) ∑i i=D H ∑i i =C Figure 3-1. Metabolomics Variables for QTL Mapping. A. A hypothetical biosynthetic pathway is shown. The letters refer to the individual compounds. The numbers refer to the enzymes. Enzyme 6a and 6b are two different alleles of the same enzyme that lead to two different compounds. Arrows represent the direction of the biochemical reaction. B.

1 Which population do I chose? For genetical genomics experiments, the optimal population structure is either Recombinant Inbred or Advanced Intercross lines. These populations allow for recombination and transgressive segregation similar to an F2 population but are taken to homozygosity allowing independent replicated measurements of a given line. Homozygosity also increases the populations’ power by forcing each genomic position to only have one of the two opposing haplotypes instead of the three possibilities in F2 populations.

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