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

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes

17.1K
The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
17.1K
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

18.8K
Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
18.8K
Comparative Excretory Systems02:24

Comparative Excretory Systems

26.7K
Animals have evolved different strategies for excretion, the removal of waste from the body. Most waste must be dissolved in water to be excreted, so an animal’s excretory strategy directly affects its water balance.
26.7K
Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

6.1K
The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
6.1K
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

618
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
618
Comparing Intermolecular Forces: Melting Point, Boiling Point, and Miscibility02:34

Comparing Intermolecular Forces: Melting Point, Boiling Point, and Miscibility

51.8K
Intermolecular forces are attractive forces that exist between molecules. They dictate several bulk properties, such as melting points, boiling points, and solubilities (miscibilities) of substances. Molar mass, molecular shape, and polarity affect the strength of different intermolecular forces, which influence the magnitude of physical properties across a family of molecules.
Temporary attractive forces like dispersion are present in all molecules, whether they are polar or nonpolar. They...
51.8K

You might also read

Related Articles

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

Sort by
Same author

Pangenome-based structural variant imputation enables large-scale genotype-phenotype studies in dairy cattle.

Nature communications·2026
Same author

Emerging opportunities for DNA methylation biomarkers in cattle improvement.

The Journal of reproduction and development·2026
Same author

The genome landscape of Hong Kong feral cattle as a unique genetic resource.

iScience·2026
Same author

Comparative analysis of microRNAs in bovine colostrum and neonatal calf blood.

Journal of the science of food and agriculture·2026
Same author

Liver transcriptome dynamics in Holstein cows during the periparturient transition.

Scientific reports·2026
Same author

Haplotype-resolved genome and pan-genome graphs reveal the impacts of structural variation on functional genome and feather colors in chickens.

iMetaOmics·2026
Same journal

Integrating transcriptomics and metabolomics reveals the molecular landscape of sperm maturation driven by regional differentiation in the epididymis of Guizhou-Guiqian semi-fine wool sheep.

Genomics·2026
Same journal

Impact of genotype on histopathology and clinical characters in a Chinese cohort with obstructive hypertrophic cardiomyopathy.

Genomics·2026
Same journal

A novel reusable transcriptome-wide association study workflow used to map key genes linked to important cattle traits.

Genomics·2026
Same journal

The large mitochondrial genome of Syndiclis anlungensis (Lauraceae): Genome structure, comparative analysis, and phylogenetic relationships with other Syndiclis species.

Genomics·2026
Same journal

DeepGEP: Deep learning for gene expression prediction from multi-omics in mammals.

Genomics·2026
Same journal

Molecular features of external Auditory Canal cholesteatoma by microbial metagenomic sequencing.

Genomics·2026
See all related articles

Related Experiment Video

Updated: Feb 13, 2026

Comparative Lesions Analysis Through a Targeted Sequencing Approach
08:16

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

7.3K

Comparative sequence alignment reveals River Buffalo genomic structural differences compared with cattle.

Wenli Li1, Derek M Bickhart1, Luigi Ramunno2

  • 1The Cell Wall Utilization and Biology Laboratory, US Dairy Forage Research Center, USDA ARS, Madison, WI 53706, USA.

Genomics
|March 5, 2018
PubMed
Summary
This summary is machine-generated.

Genomic differences between cattle and river buffalo reveal structural variations that may explain unique buffalo traits. These include gene deletions and mobile element insertions impacting gene expression and potentially meat quality.

Keywords:
CattleComparative genomicsRiver buffalo

More Related Videos

Array Comparative Genomic Hybridization Array CGH for Detection of Genomic Copy Number Variants
09:16

Array Comparative Genomic Hybridization Array CGH for Detection of Genomic Copy Number Variants

Published on: February 21, 2015

20.5K
Technical Demonstration of Whole Genome Array Comparative Genomic Hybridization
16:37

Technical Demonstration of Whole Genome Array Comparative Genomic Hybridization

Published on: August 5, 2008

13.3K

Related Experiment Videos

Last Updated: Feb 13, 2026

Comparative Lesions Analysis Through a Targeted Sequencing Approach
08:16

Comparative Lesions Analysis Through a Targeted Sequencing Approach

Published on: November 5, 2019

7.3K
Array Comparative Genomic Hybridization Array CGH for Detection of Genomic Copy Number Variants
09:16

Array Comparative Genomic Hybridization Array CGH for Detection of Genomic Copy Number Variants

Published on: February 21, 2015

20.5K
Technical Demonstration of Whole Genome Array Comparative Genomic Hybridization
16:37

Technical Demonstration of Whole Genome Array Comparative Genomic Hybridization

Published on: August 5, 2008

13.3K

Area of Science:

  • Comparative genomics
  • Animal genetics
  • Livestock research

Background:

  • Taurine cattle and river buffalo are important livestock species with distinct phenotypic characteristics.
  • Understanding their genomic differences can provide insights into trait evolution and breeding strategies.

Purpose of the Study:

  • To characterize gene content, regulation, and structural variations between taurine cattle and river buffalo.
  • To identify genomic elements contributing to the unique phenotypes of river buffalo.

Main Methods:

  • Comparative alignment using the UMD3.1 cattle reference genome.
  • Identification of copy number variation (CNV) regions and mobile element insertions (MEIs).
  • Transcriptome analysis across various river buffalo tissues.

Main Results:

  • Identified 127 deletion CNV regions in river buffalo, encompassing 5 annotated cattle genes.
  • Characterized 583 MEI events in upstream regions of cattle genes; confirmed absence of 4 cattle genes in river buffalo.
  • Found significantly elevated expression in river buffalo for four genes with upstream MEI predictions, potentially linked to meat quality and color.

Conclusions:

  • Genomic structural variations, including deletions and MEIs, play a functional role in differentiating river buffalo from cattle.
  • These variations likely contribute to the distinct phenotypes observed in river buffalo, such as meat characteristics.
  • Comparative genomic and transcriptomic approaches are valuable for understanding livestock trait divergence.