Introduction to long noncoding RNA
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F25%3A43926672" target="_blank" >RIV/62156489:43410/25:43926672 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/B978-0-443-21784-5.00011-3" target="_blank" >https://doi.org/10.1016/B978-0-443-21784-5.00011-3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/B978-0-443-21784-5.00011-3" target="_blank" >10.1016/B978-0-443-21784-5.00011-3</a>
Alternative languages
Result language
angličtina
Original language name
Introduction to long noncoding RNA
Original language description
Research from several sources led to one of the most important findings in population genetics. They demonstrated how the size of the breeding population within a species affects natural selection's capacity to eliminate marginally harmful mutations. The greater the population size, the more adept natural selection is at spotting and removing marginally harmful mutations. The effective population size is much lower than the total population due to specific population dynamics factors. In fact, there is an inverse linear relationship between the size of the effective population and the degree of mutational harm required for natural selection to successfully remove a mutation from a population. Genetic drift alone will cause certain neutral and marginally harmful mutations to become fixed in the absence of selection pressure. It's crucial to understand that this relationship holds true for mutations that are only marginally helpful as well. Specifically, there is an inverse relationship between the effective population size and the level of benefit required for a mutation to be effectively chosen for by natural selection. Because of this, it is crucial to consider how a genetic modification impacts the organism's fitness and whether, given the size of the population, selection might influence this change in a positive or negative way. In the early and middle of the first decade of the 21st century, global transcriptomic analyses which aimed to better define the proteomeunveiled a novel surprise and posed a challenge to the conventional understanding of genetic information: the majority of the genomes of plants and animals are dynamically transcribed into longer RNAs with little to no potential to code for proteins. The majority of the transcriptome products produced by eukaryotic transcription lack the ability to code for proteins. The misclassification of noncoding RNAs as "useless" has largely contributed to the delay in our understanding of their functional activities. Despite not being able to convert into proteins, noncoding RNAs (ncRNAs) are nevertheless crucial for plant growth, development, and response to abiotic stress. Diverging in both biogenesis pathways and functional roles, noncoding. The unearthing of ncRNA has sparked a revolution in comprehending the intricacy and multiplicity of gene regulation within plants. Amidst the sundry ncRNA classes, one captivating and pivotal group has emerged: transposable element-derived noncoding RNAs(TE-derived ncRNAs).
Czech name
—
Czech description
—
Classification
Type
C - Chapter in a specialist book
CEP classification
—
OECD FORD branch
40101 - Agriculture
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Non-coding RNA in Plants: Modulation and Stress Responses
ISBN
978-0-443-21784-5
Number of pages of the result
12
Pages from-to
1-12
Number of pages of the book
358
Publisher name
Elsevier Science Inc.
Place of publication
New York
UT code for WoS chapter
—