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

Communication

Communication

Communication between two animals occurs when one animal transmits an information signal that causes a change in the animal that receives the information. Organisms communicate with one another in a host of different ways. Signals can be auditory, chemical, visual, tactile, or a combination of these. Communication is a critical behavioral adaptation that promotes survival, growth, and reproduction.

Nonconscious Mimicry

Nonconscious Mimicry

Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.

Genetic Lingo

Genetic Lingo

Signal Sequences and Sorting Receptors

Signal Sequences and Sorting Receptors

Signal sequences are short amino acid sequences that guide newly synthesized proteins to their proper location within the cell. Classical signal sequences are fifteen to sixty amino acids long and present at the N-terminus of a polypeptide chain. Each signal sequence has a conserved segment of basic residues towards their N terminus, a hydrophobic core, and a C-terminus rich in polar residues. The C-terminus also contains a signal cleavage site and features a -3 -1 sequence motif. The -3-1...

You might also read

Related Articles

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

Sort by

Same author

Understanding mammal avoidance of human settlements.

The Journal of animal ecology·2026

Same author

The genome sequence of Nathusius' pipistrelle, <i>Pipistrellus nathusii</i> (Keyserling & Blasius, 1839) (Chiroptera: Vespertilionidae).

Wellcome open research·2026

Same author

The genome sequence of Geoffroy's Bat, <i>Myotis emarginatus</i> (Geoffroy, 1806) (Chiroptera: Vespertilionidae).

Wellcome open research·2026

Same author

The genome sequence of Schreibers's Long-fingered Bat, <i>Miniopterus schreibersii</i> (Kuhl, 1817) (Chiroptera: Miniopteridae).

Wellcome open research·2026

Same author

Comparative analysis of the cellular landscape in mammalian striatum.

Nature communications·2026

Same author

Interacting effects of human presence and landscape modification on birds and mammals.

Science (New York, N.Y.)·2026

Same journal

A native sulfur deposit in Gale crater, Mars.

Science (New York, N.Y.)·2026

Same journal

Coordinated demise of harmful algal blooms.

Science (New York, N.Y.)·2026

Same journal

Genetic effects put into context.

Science (New York, N.Y.)·2026

Same journal

Bacteria share proteins to survive antibiotics.

Science (New York, N.Y.)·2026

Same journal

Impacts shaped Earth's first continents.

Science (New York, N.Y.)·2026

Same journal

Erratum for the Report "Covalently bonded single-molecule junctions with stable and reversible photoswitched conductivity" by C. Jia <i>et al</i>.

Science (New York, N.Y.)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jul 23, 2025

Automated Interactive Video Playback for Studies of Animal Communication

Automated Interactive Video Playback for Studies of Animal Communication

Published on: February 9, 2011

Using machine learning to decode animal communication.

Christian Rutz¹, Michael Bronstein¹, Aza Raskin¹

¹School of Biology, University of St Andrews, St Andrews, Scotland, UK.

Science (New York, N.Y.)

|July 13, 2023

Summary

This summary is machine-generated.

New scientific methods offer groundbreaking insights and significant conservation advantages. These advancements are poised to revolutionize ecological research and protection efforts.

More Related Videos

Computer-Generated Animal Model Stimuli

Computer-Generated Animal Model Stimuli

Published on: July 29, 2007

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Published on: August 16, 2024

Related Experiment Videos

Last Updated: Jul 23, 2025

Automated Interactive Video Playback for Studies of Animal Communication

Automated Interactive Video Playback for Studies of Animal Communication

Published on: February 9, 2011

Computer-Generated Animal Model Stimuli

Computer-Generated Animal Model Stimuli

Published on: July 29, 2007

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Integration of Animal Behavioral Assessment and Convolutional Neural Network to Study Wasabi-Alcohol Taste-Smell Interaction

Published on: August 16, 2024

Area of Science:

Ecology and Conservation Biology
Environmental Science
Biotechnology

Background:

Traditional methods for ecological monitoring face limitations in scope and detail.
There is a growing need for innovative approaches to address complex environmental challenges.
Conservation efforts require more precise and effective tools for data collection and analysis.

Purpose of the Study:

To introduce and evaluate novel methodologies for ecological research.
To demonstrate the potential of new techniques in enhancing conservation outcomes.
To highlight the transformative impact of these methods on scientific understanding.

Main Methods:

Development and application of advanced molecular techniques.
Implementation of cutting-edge remote sensing and geospatial analysis.
Utilization of sophisticated computational modeling for data interpretation.

Main Results:

The new methods provide unprecedented resolution in ecological data.
Significant improvements in the efficiency and accuracy of conservation assessments were observed.
Transformative insights into ecosystem dynamics and biodiversity were gained.

Conclusions:

These novel methods represent a significant leap forward in ecological science.
The findings underscore the potential for transformative insights and enhanced conservation benefits.
Future research should focus on broader implementation and refinement of these techniques.