Empirical threshold values for quantitative trait mapping.

Rewiring of the Fruit Metabolome in Tomato Breeding.

Mass spectrometry-based metabolomics approaches can enable detection and quantification of many thousands of metabolite features simultaneously. However, compound identification and reliable quantification are greatly complicated owing to the chemical complexity and dynamic range of the metabolome. Simultaneous quantification of many metabolites within complex mixtures can additionally be complicated by ion suppression, fragmentation and the presence of isomers. Here we present guidelines covering sample preparation, replication and randomization, quantification, recovery and recombination, ion suppression and peak misidentification, as a means to enable high-quality reporting of liquid chromatography- and gas chromatography-mass spectrometry-based metabolomics-derived data.

/pdf/mass-spectrometry-based-metabolomics-a-guide-for-annotation-1meehjgx5r.pdf

Mass spectrometry-based metabolomics: a guide for annotation, quantification and best reporting practices

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aenm.201904102

Monolithic Perovskite Tandem Solar Cells: A Review of the Present Status and Advanced Characterization Methods Toward 30% Efficiency

The Structure and Function of Major Plant Metabolite Modifications.

The plant metabolome is characterized by extensive diversity and is often regarded as a bridge between genome and phenome. Here we report metabolic and phenotypic genome-wide studies (mGWAS and pGWAS) in rice grain that, in addition to previous metabolic GWAS in rice leaf and maize kernel, show both distinct and overlapping aspects of genetic control of metabolism within and between species. We identify new candidate genes potentially influencing important metabolic and/or morphological traits. We show that the differential genetic architecture of rice metabolism between different tissues is in part determined by tissue specific expression. Using parallel mGWAS and pGWAS we identify new candidate genes potentially responsible for variation in traits such as grain colour and size, and provide evidence of metabotype-phenotype linkage. Our study demonstrates a powerful strategy for interactive functional genomics and metabolomics in plants, especially the cloning of minor QTLs for complex phenotypic traits.

/pdf/comparative-and-parallel-genome-wide-association-studies-for-2fknny0rbl.pdf

Comparative and parallel genome-wide association studies for metabolic and agronomic traits in cereals.

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Comparative and parallel genome-wide association studies for metabolic and agronomic traits in cereals.