Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Complementation Tests00:49

Complementation Tests

5.0K
A complementation test is a simple cross to identify whether the two mutations are located on the same gene or different genes. It was first performed by Edward Lewis in the 1940s while working on fruit flies. He developed the test to identify the location and arrangement of different mutations on chromosomes.
Organisms heterozygous for different mutations are crossed pairwise in all combinations. If present on different genes, the mutations can complement each other by providing the missing...
5.0K
Spontaneous and Induced Mutations01:30

Spontaneous and Induced Mutations

101
Spontaneous mutations arise infrequently during DNA replication due to errors in the process. A key factor behind these errors is tautomeric shifts in nitrogenous bases, where bases transition from keto to enol forms or amino to imino forms. This shift can alter base-pairing rules, leading to mutations. Additionally, reactive oxygen species (ROS) arising from aerobic metabolism can damage DNA, resulting in depurination (loss of a purine base) or depyrimidination (loss of a pyrimidine base).
101
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

59.2K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
59.2K
Viral Mutations00:36

Viral Mutations

32.7K
A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material...
32.7K
Mutations in Microorganisms01:18

Mutations in Microorganisms

53
Mutations are heritable changes in an organism’s genome involving alterations in the base sequence of DNA or RNA. These changes can influence cellular processes and phenotypic traits, potentially transforming the unaltered wild type into a mutant form. Such changes, termed forward mutations, are pivotal in shaping the genetic diversity of organisms.RNA viruses exhibit the highest mutation rates due to the absence of robust proofreading mechanisms during genome replication. In contrast,...
53
Point and Frameshift Mutations01:30

Point and Frameshift Mutations

57
Point mutations are genetic alterations involving the change of a single nucleotide base pair in DNA. Depending on how the alteration affects protein synthesis, they can lead to various consequences.Point mutations fall into the following types:Silent mutations occur when a nucleotide change does not alter the amino acid sequence due to the redundancy of the genetic code. For instance, changing ACC to ACA still encodes threonine, leaving the protein function unaffected. This occurs because...
57

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Emotions Are Folk Concepts in a Predicting Brain.

Brain sciences·2026
Same author

Differentiation drives the erosion of positivity on social media.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Redesigning algorithms to intervene on social norm misperceptions during a national election.

Nature·2026
Same author

The widening partisan gap in legislative support for civil rights in the United States.

Nature communications·2026
Same author

The roles of emotional responding and regulation in adolescent friendship stability: A multimethod functional magnetic resonance imaging study.

Journal of research on adolescence : the official journal of the Society for Research on Adolescence·2026
Same author

Individual differences in motives for costly punishment.

Communications psychology·2026

Related Experiment Video

Updated: Aug 19, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.0K

Valence-dependent mutation in lexical evolution.

Joshua Conrad Jackson1, Kristen Lindquist2, Ryan Drabble2

  • 1Kellogg School of Management, Northwestern University, Evanston, IL, USA. joshua.jackson@kellogg.northwestern.edu.

Nature Human Behaviour
|November 28, 2022
PubMed
Summary
This summary is machine-generated.

Negative words evolve faster than positive words. This study reveals that emotional valence impacts word replacement rates, particularly for adjectives, influencing lexical evolution.

More Related Videos

Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency
18:10

Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency

Published on: June 16, 2011

29.7K
Measuring Microbial Mutation Rates with the Fluctuation Assay
07:44

Measuring Microbial Mutation Rates with the Fluctuation Assay

Published on: November 28, 2019

23.8K

Related Experiment Videos

Last Updated: Aug 19, 2025

Following the Dynamics of Structural Variants in Experimentally Evolved Populations
04:52

Following the Dynamics of Structural Variants in Experimentally Evolved Populations

Published on: February 3, 2023

1.0K
Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency
18:10

Isolation of Fidelity Variants of RNA Viruses and Characterization of Virus Mutation Frequency

Published on: June 16, 2011

29.7K
Measuring Microbial Mutation Rates with the Fluctuation Assay
07:44

Measuring Microbial Mutation Rates with the Fluctuation Assay

Published on: November 28, 2019

23.8K

Area of Science:

  • Linguistics
  • Psycholinguistics
  • Cognitive Science

Background:

  • Lexical evolution pace is traditionally explained by macro-level factors like word frequency and population size.
  • The role of cognitive and affective factors in word evolution remains less understood.
  • Valence, representing the positivity-negativity of concepts, is a key affective factor to investigate.

Purpose of the Study:

  • To investigate whether emotional valence influences the rate of lexical evolution.
  • To determine if negative valence correlates with faster word replacement.
  • To examine how this relationship varies across different word classes (nouns, verbs, adjectives).

Main Methods:

  • Analysis of cognate replacement rates for 200 concepts across an Indo-European language tree (6,000–10,000 years).
  • Statistical controls for word frequency and population size.
  • Experimental validation of word replacement likelihood based on valence.

Main Results:

  • Negative valence significantly correlates with faster cognate replacement rates.
  • This association is strongest for adjectives and less consistent for verbs, not significant for nouns.
  • Experimental data confirm individuals are more prone to replace words for negative concepts.

Conclusions:

  • Emotional valence is a significant driver of lexical evolution.
  • Negative valence accelerates word replacement, especially in adjectives, through micro-level variations.
  • Findings highlight the impact of affect on language change dynamics.