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

Genomics02:02

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...
RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
Challenges of the Maxam-Gilbert Method
The...
Sanger Sequencing01:57

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...

You might also read

Related Articles

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

Sort by
Same author

Assembly of Silphium interspecific hybrid genomes opens the genus to phylogenomics, ecogenomics, and molecular breeding.

Nature communications·2026
Same author

Deciphering the mosaic genome of sugarcane cultivars through polyploid admixture inference with AdmixPoly.

Genome biology·2026
Same author

Telomere-to-telomere assemblies of chromosome 10 reveal complex adaptive variation of 3-ketoacyl-CoA-synthases in <i>Populus trichocarpa</i> likely driven by Helitrons.

Forestry research·2026
Same author

Brain health and the gut microbiome (bMicrobiome Study): a proof-of-concept, feasibility study integrating shotgun metagenomics, metrology, and multidimensional phenotyping across the cognitive aging spectrum.

Gut microbes reports·2026
Same author

Legume genome structures and histories inferred from Cercis canadensis and Chamaecrista fasciculata genomes.

The Plant journal : for cell and molecular biology·2026
Same author

Compilation and utilization of a sorghum transcriptome compendium for gene regulatory network analysis and crop trait engineering.

The Plant journal : for cell and molecular biology·2026

Related Experiment Video

Updated: May 31, 2026

Metagenomic Analysis of Silage
08:43

Metagenomic Analysis of Silage

Published on: January 13, 2017

Sequencing crop genomes: approaches and applications.

Scott A Jackson1, Aiko Iwata1, Suk-Ha Lee2

  • 1Institute for Plant Breeding, Genetics and Genomics, University of Georgia,111 Riverbend Rd, Athens, GA 30602, USA.

The New Phytologist
|June 29, 2011
PubMed
Summary

Genomic sequencing offers solutions for crop production challenges like climate change and resource scarcity. Overcoming technical hurdles in sequencing and phenotyping is crucial for improving crop yields and ensuring food security.

More Related Videos

Optimization and Comparative Analysis of Plant Organellar DNA Enrichment Methods Suitable for Next-generation Sequencing
12:33

Optimization and Comparative Analysis of Plant Organellar DNA Enrichment Methods Suitable for Next-generation Sequencing

Published on: July 28, 2017

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
07:18

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Published on: May 21, 2020

Related Experiment Videos

Last Updated: May 31, 2026

Metagenomic Analysis of Silage
08:43

Metagenomic Analysis of Silage

Published on: January 13, 2017

Optimization and Comparative Analysis of Plant Organellar DNA Enrichment Methods Suitable for Next-generation Sequencing
12:33

Optimization and Comparative Analysis of Plant Organellar DNA Enrichment Methods Suitable for Next-generation Sequencing

Published on: July 28, 2017

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
07:18

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling

Published on: May 21, 2020

Area of Science:

  • Plant Science
  • Genomics
  • Crop Improvement

Background:

  • Crop production faces significant challenges including population growth, limited resources, and climate change.
  • Genomic technologies offer potential solutions for enhancing crop resilience and yield.

Purpose of the Study:

  • To highlight the barriers preventing the widespread application of genome sequencing in crop improvement.
  • To emphasize the need for advancements in sequencing and informatics for practical crop breeding.

Main Methods:

  • Review of current challenges in crop production and genomic applications.
  • Discussion of technical difficulties in de novo sequencing of complex crop genomes.
  • Identification of limitations in rapid and accurate phenotyping for crop plants.

Main Results:

  • Complexity of crop genomes poses significant challenges for de novo sequencing using next-generation technologies.
  • Inefficiencies in collecting rapid and accurate plant phenotypes hinder the integration of genomics into crop improvement.
  • Lack of advanced informatics tools limits the accessibility of genomic data for field scientists.

Conclusions:

  • Addressing challenges in crop production requires overcoming technical barriers in genomic sequencing and phenotyping.
  • Advancements in bioinformatics and user-friendly tools are essential for enabling plant scientists to leverage genomic information for crop improvement.