Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Evolutionary Relationships through Genome Comparisons

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...

Modern Molecular Taxonomy

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...

Gene Evolution - Fast or Slow?

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...

Multi-species Conserved Sequences

Multi-species Conserved Sequences

Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved DNA...

You might also read

Related Articles

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

Sort by

Same author

Arthroscopic vs. open Broström-Gould procedure for chronic lateral ankle instability: a systematic review and meta-analysis.

Frontiers in surgery·2026

Same author

"The system is obviously bonkers": The APC Trap and the bind of scholarly publishing across four research intensive institutions in the U.S.

PloS one·2026

Same author

Polygenic risk score analysis of noise-induced hearing loss: An integrated cross-sectional and longitudinal study.

Hearing research·2026

Same author

Advances and Prospects of ZIF-Based Nanoplatforms for Therapeutic and Diagnosis Strategies in Endocrine Diseases.

ACS applied bio materials·2026

Same author

Sympathetic immunomodulation suppresses liver metastasis by maintaining the balance between norepinephrine concentration and the α2a/β2-AR ratio.

Cellular & molecular immunology·2026

Same author

AS1411 aptamer-functionalized, cell membrane-camouflaged nanoparticles for targeted tumor cells imaging in the Raman silent region.

Analytical and bioanalytical chemistry·2026

Search research articles

Related Experiment Video

Updated: Jun 6, 2026

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

Assessment of length distributions between non-coding and coding sequences amongst two model organisms.

Rachel Caldwell¹, Yan-Xia Lin, Ren Zhang

¹School of Biological Sciences, University of Wollongong, Northfields Ave, NSW 2522, Australia. rac34@uow.edu.au

International Journal of Data Mining and Bioinformatics

|December 8, 2010

Summary

Genomic data analysis reveals strong correlations between coding and non-coding gene regions in Arabidopsis thaliana and Drosophila melanogaster. Differences observed across protein functional classes suggest evolutionary insights into gene structure.

More Related Videos

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

Single Cell Multiplex Reverse Transcription Polymerase Chain Reaction After Patch-clamp

Single Cell Multiplex Reverse Transcription Polymerase Chain Reaction After Patch-clamp

Published on: June 20, 2018

Related Experiment Videos

Last Updated: Jun 6, 2026

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Three Differential Expression Analysis Methods for RNA Sequencing: limma, EdgeR, DESeq2

Published on: September 18, 2021

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

Single Cell Multiplex Reverse Transcription Polymerase Chain Reaction After Patch-clamp

Single Cell Multiplex Reverse Transcription Polymerase Chain Reaction After Patch-clamp

Published on: June 20, 2018

Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

The genomics era is driven by the vast availability of genomic DNA and cDNA sequence data.
Understanding gene structure, including non-coding and coding regions, is crucial for deciphering biological functions.

Purpose of the Study:

To investigate length distributions of non-coding and coding regions in protein genes of two model organisms: Arabidopsis thaliana (plant) and Drosophila melanogaster (insect).
To explore potential correlations between these gene regions and protein functional classes.

Main Methods:

Application of a non-linear functional relationship model to analyze sequence data.
Comparative analysis of gene region lengths and their relationship with protein functional classes.

Main Results:

A strong correlation was identified between Coding Sequence (CDS) and non-coding sequence regions, particularly influenced by 5' Untranslated Region (UTR) data.
Significant differences in gene region lengths were observed across various protein functional classes within both model organisms.

Conclusions:

The study highlights significant correlations and differences in gene structures between coding and non-coding regions.
Findings suggest potential evolutionary relationships and functional implications related to gene organization in Arabidopsis thaliana and Drosophila melanogaster.