Linking genotype to phenotype using the Arabidopsis unimutant collection.

By Ronan C. O’Malley, Joseph R. Ecker. 2010

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Finely-grained annotated datasets for image-based plant phenotyping (2016, methodology): “In this case phenotyping traits are recorded and are correlated with genotyping information to identify relationships among them (data mining) (O’Malley and Ecker, 2010).”
Egg cell-specific promoter-controlled CRISPR/Cas9 efficiently generates homozygous mutants for multiple target genes in Arabidopsis in a single generation (2015, background): “Second, no T-DNA insertion mutants are available for 12 % of genes, and 8 % of genes are only represented by a single allele [2].”
Image-based plant phenotyping with incremental learning and active contours (2014, background): “Unlike humans and most other mammals, they are considered ideal models to study natural variation and decipher the “genotype to phenotype” link (O'Malley and Ecker, 2010) — arguably a problem that concerns all life science fields.”
Photorespiration (2017, methodology): “Determine protein concentration following the Bradford [3] method.”
Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner] (2015, background): “…advances in genotyping, has revolutionized our understanding of biology but has accelerated the need for precision and automation in phenotyping, favoring approaches that provide quantifiable phenotypic information that could be better used to link and find associations in the genotype [4].”