Selection Amplification
Selection Amplification - Related Videos
09:44
Rapid Amplification of cDNA Ends
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2023
Source: Pablo Sanchez Bosch2, Sean Corcoran2 and Katja Brückner1,2,3 1Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research 2Department of Cell and Tissue Biology, 3Cardiovascular Research Institute, University of California San Francisco, San Francisco, CA, USA Rapid Amplification of cDNA Ends (RACE) is a technique that allows amplification of full-length cDNA from mRNA by extending to the 3’ or 5’ end, even without prior knowledge of the sequence (Frohman et al.,...
10:12
Protein Misfolding Cyclic Amplification of Prions
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Cited by 7 •
2012
Protein misfolding cyclic amplification (PMCA) is an in vitro assay for the study of prion conversion and strain and species barriers. It can also be used as a prion detection assay.
02:41
Amplification of a Suicide Plasmid in a Bacterial Host
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2025
Source: Tomás, J. M., et al. Generation of Null Mutants to Elucidate the Role of Bacterial Glycosyltransferases in Bacterial Motility. J. Vis. Exp. (2022).This video demonstrates the initiator-dependent amplification of a suicide plasmid in E. coli. The plasmid, which carries an antibiotic resistance gene, replicates only in the presence of an initiator protein encoded by the host. After electroporation and incubation in recovery medium, the mixture is plated on antibiotic-containing agar.
07:35
Demonstrating a Multi-drug Resistant Mycobacterium tuberculosis Amplification Microarray
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Cited by 4 •
2014
An amplification microarray combines asymmetric PCR amplification and microarray hybridization into a single chamber, which significantly streamlines microarray workflow for the end user. Simplifying microarray workflow is a necessary first step for creating microarray-based diagnostics that can be routinely used in lower-resource environments.
02:48
Loop-Mediated Isothermal Amplification for Bacterial Gene Detection
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2025
Source: Domesle, K. J., et al. Loop-Mediated Isothermal Amplification for Screening Salmonella in Animal Food and Confirming Salmonella from Culture Isolation. J. Vis. Exp. (2020).This video demonstrates the loop-mediated isothermal amplification (LAMP) technique for detecting a target bacterial gene by amplifying DNA at a constant temperature. The reaction mixture is prepared by adding an isothermal master mix, specific primers for the target gene, and samples containing DNA templates. The...
FAQs
A defined selection condition creates unequal outcomes among variants. Those that survive, reproduce, or satisfy a molecular criterion are retained, whereas less-fit variants contribute less to the next stage. Repeating this differential retention shifts the composition of the population or molecular pool, allowing researchers to track which variants become increasingly represented under the chosen condition.
A single selection step may only separate variants temporarily. Propagation converts the retained set into material for another round, so differences in performance can accumulate across cycles. This repeated process strengthens enrichment of variants associated with the selection condition and makes changes in representation easier to examine as evidence of functional or fitness differences.
The approach links an inherited sequence or variant with an observable outcome, such as survival, reproduction, or fulfillment of a molecular requirement. When variants associated with a desired outcome become more frequent, their genetic identity can be examined in relation to that phenotype. This provides a framework for investigating genotype-phenotype relationships rather than measuring variation alone.
The underlying logic is shared, but the selection setting differs. Natural evolution reflects conditions operating in populations, experimental evolution applies a defined condition in a controlled study, and directed evolution uses intentional selection to enrich variants with a desired property. Comparing these contexts helps distinguish naturally occurring outcomes from researcher-designed selection goals.
A typical workflow begins with a population or molecular pool containing variants, followed by exposure to a defined selection condition. Variants that meet the survival, reproduction, or molecular criterion are retained and propagated. The cycle is then repeated, and changes in variant representation are measured to determine which genetic forms were enriched.
The process can be applied to nucleic acids, cells, or organisms, provided that variants can be evaluated against a defined criterion and retained or propagated afterward. The relevant outcome differs by material: molecular pools may be enriched for functional sequences, while cells or organisms may be enriched for traits associated with survival or reproduction.
Researchers use this strategy when they need to enrich variants linked to a useful trait or functional molecular property. Applications include studies of natural and experimental evolution, directed evolution, and functional sequence identification. By following representation changes under selection, investigators can connect genetic variation with biological performance or molecular activity.
Increasing representation suggests that a variant met the imposed criterion more successfully than alternatives under the tested condition. These frequency changes can help identify functional sequences, distinguish variants associated with useful traits, and examine how genetic variation shapes outcomes. Interpretation remains tied to the selected condition, because enrichment reflects performance in that defined context.