Growth Stage–Based Phenotypic Analysis of Arabidopsis

By D. Boyes, A. Zayed, Robert Ascenzi, Amy J. McCaskill, N. Hoffman, K. Davis, J. Görlach. The Plant Cell Online, 2001

1,516 citations recorded by the source corpus.

Subfields: Molecular Biology, Plant Science

View Paper: https://www.semanticscholar.org/paper/470cab023ec8c72a6c4721b3b0adf8fef47bec97

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Citations in the corpus

Naturally occurring genetic variation in Arabidopsis thaliana. (2004, background): “However, new highthroughput technologies allow automatization of highly specific assays, including morphological measurements (22) or metabolite and transcript profiling (39, 56).”
PHENOPSIS, an automated platform for reproducible phenotyping of plant responses to soil water deficit in Arabidopsis thaliana permitted the identification of an accession with low sensitivity to soil water deficit. (2006, background): “However, it is more appropriate than the visible stages defined by Boyes et al. (2001) which do not necessarily correspond to a common leaf age in all accessions.”
Plant metabolomics: large-scale phytochemistry in the functional genomics era. (2003, background): “Furthermore, in those instances in which mutations or expression of transgenes lead to measurable phenotypic changes (Boyes et al., 2001), metabolomic approaches can be used to decipher the biochemical cause or consequence of the observed phenotypes.”
Ecological versus ecotoxicological methods for assessing the environmental risks of transgenic crops (2007, methodology): “Non-targeted approaches for assessing equivalence for beneficial insect assessment endpoints could use profiling methods employed for food safety assessments [88–91], and assessments of weediness potential could be made by high-throughput measures of plant phenotype using image-analysis software [98”
Role of SVP in the control of flowering time by ambient temperature in Arabidopsis. (2007, background): “A similar up-regulation of FT in the svp32 mutants was observed at a series of defined growth stages (Supplementary Fig. 5; Boyes et al. 2001).”
Root Exudation of Phytochemicals in Arabidopsis Follows Specific Patterns That Are Developmentally Programmed and Correlate with Soil Microbial Functions (2013, background): “[29], representative pictures of each growth stage can be found in De-laPena et al.”
Metabolomics in systems biology. (2003, background): “Furthermore, integrating quantitative data regarding growth stage and environmental conditions into analyses of the biological system is essential (12, 16).”
Correlative GC-TOF-MS-based metabolite profiling and LC-MS-based protein profiling reveal time-related systemic regulation of metabolite–protein networks and improve pattern recognition for multiple biomarker selection (2005, methodology): “Plants were harvested at the developmental stage 5.10 (Boyes et al., 2001) at six different time points per day, with 10 different plants per time point and genetic background, respectively.”
Transcriptome analysis of haploid male gametophyte development in Arabidopsis (2004, methodology): “This provided transcriptome data for seedlings at open cotyledon stage (COT, stage 0.7 [ 42 ]), leaves (LEF, stage 6.0), petiole (PET, stage 3.9), stems (STM, stage 6.1), roots (ROT), root hair zone (RHR, stage 1.02), and suspension cell cultures (SUS).”
Photorespiration (2017, methodology): “One notable aspect here is the fast H2O2 production occurring in photorespiration [11] which can potentially contribute to processes such as plant responses to pathogens [12, 13].”
GENEVESTIGATOR. Arabidopsis Microarray Database and Analysis Toolbox1[w] (2004, methodology): “A major challenge in biology today is the large-scale determination of gene function (Boyes et al., 2001).”
Comprehending crystalline β-carotene accumulation by comparing engineered cell models and the natural carotenoid-rich system of citrus (2011, positive): “The effect of changing RH during development was examined in two subsets of 12 wild-type (WT) plants each (first and second generation control progeny) by moving plants between treatments during rosette leaf growth (stage 3.50; Boyes et al., 2001).”
The Botany Array Resource: e-Northerns, Expression Angling, and promoter analyses. (2005, methodology): “We are currently indexing our samples using the Boyes growth stages (Boyes et al., 2001), and TAIR’s Anatomy Ontology (ftp://tairpub:tairpub@ ftp.”