Source 1review2019Frontiers in Plant Science
Toolkit/hypocotyl elongation screen for ethylene-insensitive Arabidopsis mutants
hypocotyl elongation screen for ethylene-insensitive Arabidopsis mutants
Also known as: hypocotyl elongation-based ethylene screen, screen for ethylene-insensitive Arabidopsis mutants
Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
The hypocotyl elongation screen for ethylene-insensitive Arabidopsis mutants is a phenotypic assay based on ethylene-mediated inhibition of hypocotyl elongation in dark-grown seedlings. Arabidopsis mutants that remain tall despite treatment with high concentrations of ethylene are identified as ethylene-insensitive.
Usefulness & Problems
Why this is useful
This assay is useful for isolating Arabidopsis mutants with altered ethylene response using an easily scored seedling morphology phenotype. It provides a functional readout of ethylene responsiveness in intact dark-grown seedlings.
Problem solved
It addresses the problem of identifying ethylene-insensitive Arabidopsis mutants from larger populations by converting ethylene response into a visible hypocotyl elongation phenotype. The supplied evidence does not provide further detail on downstream molecular characterization.
Problem links
Need better screening or enrichment leverage
DerivedThe hypocotyl elongation screen for ethylene-insensitive Arabidopsis mutants is a phenotypic assay based on ethylene-mediated inhibition of hypocotyl elongation in dark-grown seedlings. Arabidopsis mutants that remain tall despite treatment with high concentrations of ethylene are identified as ethylene-insensitive.
Need conditional control of signaling activity
DerivedThe hypocotyl elongation screen for ethylene-insensitive Arabidopsis mutants is a phenotypic assay based on ethylene-mediated inhibition of hypocotyl elongation in dark-grown seedlings. Arabidopsis mutants that remain tall despite treatment with high concentrations of ethylene are identified as ethylene-insensitive.
Need conditional recombination or state switching
DerivedThe hypocotyl elongation screen for ethylene-insensitive Arabidopsis mutants is a phenotypic assay based on ethylene-mediated inhibition of hypocotyl elongation in dark-grown seedlings. Arabidopsis mutants that remain tall despite treatment with high concentrations of ethylene are identified as ethylene-insensitive.
Need tighter control over gene expression timing or amplitude
DerivedThe hypocotyl elongation screen for ethylene-insensitive Arabidopsis mutants is a phenotypic assay based on ethylene-mediated inhibition of hypocotyl elongation in dark-grown seedlings. Arabidopsis mutants that remain tall despite treatment with high concentrations of ethylene are identified as ethylene-insensitive.
Taxonomy & Function
Primary hierarchy
Technique Branch
Method: A concrete measurement method used to characterize an engineered system.
Target processes
recombinationselectionsignalingtranscriptionImplementation Constraints
cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationoperating role: sensor
Implementation requires dark-grown seedlings and treatment with high concentrations of ethylene, with hypocotyl elongation scored as the assay readout. The evidence does not provide details on ethylene dose, exposure duration, genotype background, or growth medium.
The supplied evidence only supports use in dark-grown Arabidopsis seedlings and does not report sensitivity, false-positive rates, throughput, or performance in other species or growth conditions. It also does not specify which mutant classes can or cannot be recovered by this phenotype.
Validation
Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication
Supporting Sources
Ranked Claims
The gold standard ethylene-regulated transcript set includes genes encoding proteins involved in ethylene signaling and synthesis and also includes previously uncharacterized gene products that may contribute to ethylene response phenotypes.
This "gold standard" group of ethylene-regulated transcripts includes mRNAs encoding numerous proteins that function in ethylene signaling and synthesis, but also reveals a number of previously uncharacterized gene products that may contribute to ethylene response phenotypes.
The gold standard ethylene-regulated transcript set includes genes encoding proteins involved in ethylene signaling and synthesis and also includes previously uncharacterized gene products that may contribute to ethylene response phenotypes.
This "gold standard" group of ethylene-regulated transcripts includes mRNAs encoding numerous proteins that function in ethylene signaling and synthesis, but also reveals a number of previously uncharacterized gene products that may contribute to ethylene response phenotypes.
The gold standard ethylene-regulated transcript set includes genes encoding proteins involved in ethylene signaling and synthesis and also includes previously uncharacterized gene products that may contribute to ethylene response phenotypes.
This "gold standard" group of ethylene-regulated transcripts includes mRNAs encoding numerous proteins that function in ethylene signaling and synthesis, but also reveals a number of previously uncharacterized gene products that may contribute to ethylene response phenotypes.
The gold standard ethylene-regulated transcript set includes genes encoding proteins involved in ethylene signaling and synthesis and also includes previously uncharacterized gene products that may contribute to ethylene response phenotypes.
This "gold standard" group of ethylene-regulated transcripts includes mRNAs encoding numerous proteins that function in ethylene signaling and synthesis, but also reveals a number of previously uncharacterized gene products that may contribute to ethylene response phenotypes.
The gold standard ethylene-regulated transcript set includes genes encoding proteins involved in ethylene signaling and synthesis and also includes previously uncharacterized gene products that may contribute to ethylene response phenotypes.
This "gold standard" group of ethylene-regulated transcripts includes mRNAs encoding numerous proteins that function in ethylene signaling and synthesis, but also reveals a number of previously uncharacterized gene products that may contribute to ethylene response phenotypes.
The gold standard ethylene-regulated transcript set includes genes encoding proteins involved in ethylene signaling and synthesis and also includes previously uncharacterized gene products that may contribute to ethylene response phenotypes.
This "gold standard" group of ethylene-regulated transcripts includes mRNAs encoding numerous proteins that function in ethylene signaling and synthesis, but also reveals a number of previously uncharacterized gene products that may contribute to ethylene response phenotypes.
The gold standard ethylene-regulated transcript set includes genes encoding proteins involved in ethylene signaling and synthesis and also includes previously uncharacterized gene products that may contribute to ethylene response phenotypes.
This "gold standard" group of ethylene-regulated transcripts includes mRNAs encoding numerous proteins that function in ethylene signaling and synthesis, but also reveals a number of previously uncharacterized gene products that may contribute to ethylene response phenotypes.
The review reports a core set of 139 transcripts with robust and consistent responses to elevated ethylene across three root-specific datasets.
We identified a core set of 139 transcripts with robust and consistent responses to elevated ethylene across three root-specific datasets.
core transcript count 139root-specific dataset count 3
The review reports a core set of 139 transcripts with robust and consistent responses to elevated ethylene across three root-specific datasets.
We identified a core set of 139 transcripts with robust and consistent responses to elevated ethylene across three root-specific datasets.
core transcript count 139root-specific dataset count 3
The review reports a core set of 139 transcripts with robust and consistent responses to elevated ethylene across three root-specific datasets.
We identified a core set of 139 transcripts with robust and consistent responses to elevated ethylene across three root-specific datasets.
core transcript count 139root-specific dataset count 3
The review reports a core set of 139 transcripts with robust and consistent responses to elevated ethylene across three root-specific datasets.
We identified a core set of 139 transcripts with robust and consistent responses to elevated ethylene across three root-specific datasets.
core transcript count 139root-specific dataset count 3
The review reports a core set of 139 transcripts with robust and consistent responses to elevated ethylene across three root-specific datasets.
We identified a core set of 139 transcripts with robust and consistent responses to elevated ethylene across three root-specific datasets.
core transcript count 139root-specific dataset count 3
The review reports a core set of 139 transcripts with robust and consistent responses to elevated ethylene across three root-specific datasets.
We identified a core set of 139 transcripts with robust and consistent responses to elevated ethylene across three root-specific datasets.
core transcript count 139root-specific dataset count 3
The review reports a core set of 139 transcripts with robust and consistent responses to elevated ethylene across three root-specific datasets.
We identified a core set of 139 transcripts with robust and consistent responses to elevated ethylene across three root-specific datasets.
core transcript count 139root-specific dataset count 3
Comparison and meta-analysis of transcriptomic datasets can identify both light-dependent and light-independent transcriptional responses to ethylene.
One powerful method to identify similarities and differences in these important regulatory processes is through comparison of transcriptomic datasets resulting from manipulation of ethylene levels or signaling under varying light conditions. We performed a meta-analysis of multiple transcriptomic datasets to uncover transcriptional responses to ethylene that are both light-dependent and light-independent.
Comparison and meta-analysis of transcriptomic datasets can identify both light-dependent and light-independent transcriptional responses to ethylene.
One powerful method to identify similarities and differences in these important regulatory processes is through comparison of transcriptomic datasets resulting from manipulation of ethylene levels or signaling under varying light conditions. We performed a meta-analysis of multiple transcriptomic datasets to uncover transcriptional responses to ethylene that are both light-dependent and light-independent.
Comparison and meta-analysis of transcriptomic datasets can identify both light-dependent and light-independent transcriptional responses to ethylene.
One powerful method to identify similarities and differences in these important regulatory processes is through comparison of transcriptomic datasets resulting from manipulation of ethylene levels or signaling under varying light conditions. We performed a meta-analysis of multiple transcriptomic datasets to uncover transcriptional responses to ethylene that are both light-dependent and light-independent.
Comparison and meta-analysis of transcriptomic datasets can identify both light-dependent and light-independent transcriptional responses to ethylene.
One powerful method to identify similarities and differences in these important regulatory processes is through comparison of transcriptomic datasets resulting from manipulation of ethylene levels or signaling under varying light conditions. We performed a meta-analysis of multiple transcriptomic datasets to uncover transcriptional responses to ethylene that are both light-dependent and light-independent.
Comparison and meta-analysis of transcriptomic datasets can identify both light-dependent and light-independent transcriptional responses to ethylene.
One powerful method to identify similarities and differences in these important regulatory processes is through comparison of transcriptomic datasets resulting from manipulation of ethylene levels or signaling under varying light conditions. We performed a meta-analysis of multiple transcriptomic datasets to uncover transcriptional responses to ethylene that are both light-dependent and light-independent.
Comparison and meta-analysis of transcriptomic datasets can identify both light-dependent and light-independent transcriptional responses to ethylene.
One powerful method to identify similarities and differences in these important regulatory processes is through comparison of transcriptomic datasets resulting from manipulation of ethylene levels or signaling under varying light conditions. We performed a meta-analysis of multiple transcriptomic datasets to uncover transcriptional responses to ethylene that are both light-dependent and light-independent.
Comparison and meta-analysis of transcriptomic datasets can identify both light-dependent and light-independent transcriptional responses to ethylene.
One powerful method to identify similarities and differences in these important regulatory processes is through comparison of transcriptomic datasets resulting from manipulation of ethylene levels or signaling under varying light conditions. We performed a meta-analysis of multiple transcriptomic datasets to uncover transcriptional responses to ethylene that are both light-dependent and light-independent.
Ethylene levels and responses diverge between light and dark environmental conditions.
After a seedling's emergence from the soil, light signaling pathways elicit a switch in developmental programming and the hormonal circuitry that controls it. Accordingly, ethylene levels and responses diverge under these different environmental conditions.
Ethylene levels and responses diverge between light and dark environmental conditions.
After a seedling's emergence from the soil, light signaling pathways elicit a switch in developmental programming and the hormonal circuitry that controls it. Accordingly, ethylene levels and responses diverge under these different environmental conditions.
Ethylene levels and responses diverge between light and dark environmental conditions.
After a seedling's emergence from the soil, light signaling pathways elicit a switch in developmental programming and the hormonal circuitry that controls it. Accordingly, ethylene levels and responses diverge under these different environmental conditions.
Ethylene levels and responses diverge between light and dark environmental conditions.
After a seedling's emergence from the soil, light signaling pathways elicit a switch in developmental programming and the hormonal circuitry that controls it. Accordingly, ethylene levels and responses diverge under these different environmental conditions.
Ethylene levels and responses diverge between light and dark environmental conditions.
After a seedling's emergence from the soil, light signaling pathways elicit a switch in developmental programming and the hormonal circuitry that controls it. Accordingly, ethylene levels and responses diverge under these different environmental conditions.
Ethylene levels and responses diverge between light and dark environmental conditions.
After a seedling's emergence from the soil, light signaling pathways elicit a switch in developmental programming and the hormonal circuitry that controls it. Accordingly, ethylene levels and responses diverge under these different environmental conditions.
Ethylene levels and responses diverge between light and dark environmental conditions.
After a seedling's emergence from the soil, light signaling pathways elicit a switch in developmental programming and the hormonal circuitry that controls it. Accordingly, ethylene levels and responses diverge under these different environmental conditions.
Hypocotyl elongation-based screens in dark-grown seedlings were valuable for identifying and molecularly characterizing major components of the ethylene signaling and response pathway.
This simple approach proved invaluable for identification and molecular characterization of major players in the ethylene signaling and response pathway, including receptors and downstream signaling proteins, as well as transcription factors that mediate the extensive transcriptional remodeling observed in response to elevated ethylene.
Hypocotyl elongation-based screens in dark-grown seedlings were valuable for identifying and molecularly characterizing major components of the ethylene signaling and response pathway.
This simple approach proved invaluable for identification and molecular characterization of major players in the ethylene signaling and response pathway, including receptors and downstream signaling proteins, as well as transcription factors that mediate the extensive transcriptional remodeling observed in response to elevated ethylene.
Hypocotyl elongation-based screens in dark-grown seedlings were valuable for identifying and molecularly characterizing major components of the ethylene signaling and response pathway.
This simple approach proved invaluable for identification and molecular characterization of major players in the ethylene signaling and response pathway, including receptors and downstream signaling proteins, as well as transcription factors that mediate the extensive transcriptional remodeling observed in response to elevated ethylene.
Hypocotyl elongation-based screens in dark-grown seedlings were valuable for identifying and molecularly characterizing major components of the ethylene signaling and response pathway.
This simple approach proved invaluable for identification and molecular characterization of major players in the ethylene signaling and response pathway, including receptors and downstream signaling proteins, as well as transcription factors that mediate the extensive transcriptional remodeling observed in response to elevated ethylene.
Hypocotyl elongation-based screens in dark-grown seedlings were valuable for identifying and molecularly characterizing major components of the ethylene signaling and response pathway.
This simple approach proved invaluable for identification and molecular characterization of major players in the ethylene signaling and response pathway, including receptors and downstream signaling proteins, as well as transcription factors that mediate the extensive transcriptional remodeling observed in response to elevated ethylene.
Hypocotyl elongation-based screens in dark-grown seedlings were valuable for identifying and molecularly characterizing major components of the ethylene signaling and response pathway.
This simple approach proved invaluable for identification and molecular characterization of major players in the ethylene signaling and response pathway, including receptors and downstream signaling proteins, as well as transcription factors that mediate the extensive transcriptional remodeling observed in response to elevated ethylene.
Hypocotyl elongation-based screens in dark-grown seedlings were valuable for identifying and molecularly characterizing major components of the ethylene signaling and response pathway.
This simple approach proved invaluable for identification and molecular characterization of major players in the ethylene signaling and response pathway, including receptors and downstream signaling proteins, as well as transcription factors that mediate the extensive transcriptional remodeling observed in response to elevated ethylene.
Approval Evidence
1 source1 linked approval claimfirst-pass slug hypocotyl-elongation-screen-for-ethylene-insensitive-arabidopsis-mutants
The inhibition of hypocotyl elongation by ethylene in dark-grown seedlings was the basis of elegant screens that identified ethylene-insensitive Arabidopsis mutants, which remained tall even when treated with high concentrations of ethylene.
Source:
review summarysupports
Hypocotyl elongation-based screens in dark-grown seedlings were valuable for identifying and molecularly characterizing major components of the ethylene signaling and response pathway.
This simple approach proved invaluable for identification and molecular characterization of major players in the ethylene signaling and response pathway, including receptors and downstream signaling proteins, as well as transcription factors that mediate the extensive transcriptional remodeling observed in response to elevated ethylene.
Source:
Comparisons
Source-backed strengths
The screen is described as the basis of elegant screens that identified ethylene-insensitive Arabidopsis mutants. Its main strength in the supplied evidence is a clear binary phenotypic outcome: wild-type seedlings show ethylene-dependent hypocotyl inhibition, whereas insensitive mutants remain tall even at high ethylene concentrations.
Compared with high throughput screening
hypocotyl elongation screen for ethylene-insensitive Arabidopsis mutants and high throughput screening address a similar problem space because they share recombination, selection, transcription.
Shared frame: same top-level item type; shared target processes: recombination, selection, transcription
Compared with open-source microplate reader
hypocotyl elongation screen for ethylene-insensitive Arabidopsis mutants and open-source microplate reader address a similar problem space because they share recombination, selection, transcription.
Shared frame: same top-level item type; shared target processes: recombination, selection, transcription
Strengths here: looks easier to implement in practice.
Compared with ProKAS
hypocotyl elongation screen for ethylene-insensitive Arabidopsis mutants and ProKAS address a similar problem space because they share recombination, selection, signaling.
Shared frame: same top-level item type; shared target processes: recombination, selection, signaling
Ranked Citations
- 1.