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

Transgenic Organisms

Transgenic Organisms

Transgenic Organisms

Transgenic Organisms

Genome Size and the Evolution of New Genes

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.

Genomics

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...

Ribosome Profiling

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...

You might also read

Related Articles

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

Sort by

Same author

Hydrogen suppressed tumor growth during chronic intermittent hypoxia via modulating macrophage polarization.

Scientific reports·2026

Same author

Efficacy of liposome bupivacaine in transversus abdominis plane blocks for postoperative analgesia: a systematic review and meta-analysis.

Frontiers in medicine·2026

Same author

Ratio limitation of burnt-bitter-aroma compounds in strong-aroma Baijiu.

Food chemistry·2026

Same author

Dyadic family hardiness and coping styles on fear of cancer recurrence in adolescent malignant bone tumor patients and caregivers.

Scientific reports·2026

Same author

Symptom clusters and symptom network analysis of patients after anterior cervical spine surgery: a cross-sectional study.

Scientific reports·2026

Same author

Luteolin Improves BBB Integrity Following Ischemic Stroke Injury by Downregulating the Expression of LRP1 and MMP9.

Phytotherapy research : PTR·2026

Search research articles

Related Experiment Video

Updated: May 8, 2026

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved (Non-model) Organisms

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved (Non-model) Organisms

Published on: May 9, 2017

[Studies on the transcriptomes of non-model organisms].

Hong-Liang Liu¹, Li-Ming Zheng, Qing-Qing Liu

¹Key Laboratory of Animal Biotechnology of the Ministry of Agriculture, College of Veterinary Medicine, Northwest A F University, Yan-gling 712100, China

Yi Chuan = Hereditas

|August 20, 2013

Summary

RNA sequencing (RNA-seq) revolutionizes non-model organism transcriptome analysis. This advanced technology overcomes previous limitations, enabling comprehensive gene expression studies for genetic evolution and breeding.

More Related Videos

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Published on: April 8, 2017

Polysome Purification from Soybean Symbiotic Nodules

Polysome Purification from Soybean Symbiotic Nodules

Published on: July 1, 2022

Related Experiment Videos

Last Updated: May 8, 2026

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved (Non-model) Organisms

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved (Non-model) Organisms

Published on: May 9, 2017

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Published on: April 8, 2017

Polysome Purification from Soybean Symbiotic Nodules

Polysome Purification from Soybean Symbiotic Nodules

Published on: July 1, 2022

Area of Science:

Genomics
Molecular Biology
Bioinformatics

Background:

The transcriptome, comprising all RNA transcripts, offers insights into gene expression across diverse conditions.
Non-model organisms possess unique traits crucial for understanding genetic evolution, breeding, and ecology.
Traditional transcriptome studies in non-model organisms are hindered by lack of reference genomes and complex, costly methods.

Purpose of the Study:

To review recent advancements in non-model organism transcriptome research utilizing RNA sequencing.
To outline the principles and workflow of RNA-seq for transcriptome analysis.
To identify current challenges and future research directions in the field.

Main Methods:

RNA sequencing (RNA-seq) as the core technology for high-throughput transcriptome analysis.
Comprehensive bioinformatics analysis pipelines for processing sequencing data.
Standardized protocols for sample preparation and sequencing.

Main Results:

RNA-seq has significantly accelerated non-model organism transcriptome research.
The study details the key steps from sample preparation to bioinformatics analysis.
Identified limitations and open questions in current non-model organism transcriptome studies.

Conclusions:

RNA-seq is an indispensable tool for non-model organism transcriptome research.
Further research is needed to address existing challenges and expand the scope of these studies.
This review provides a foundational understanding for researchers entering the field.