Skip to content

FOGS - Forensic Genetics for Species Protection

  • Title of the project

    FOGS - Forensic Genetics for Species Protection

  • Management

    Dr Jonas Astrin

  • Org. categorisation

Description of the

What is FOGS?

Protected animals are traded illegally to a high degree, in Europe often in order to keep extravagant pets. The damage to our biodiversity caused by these criminal and internationally active machinations is considerable. Animal populations are barely able to recover and species are becoming extinct as a result of wild harvesting. Studies show that environmental crime generates annual profits of 100 to 260 billion US dollars. Nature conservation authorities and law enforcement still lack routinely applicable and, above all, court-proof evidence to act effectively and protect these wild animals.
The FOGS (Forensic Genetics for Species Protection) project, funded by the German Federal Ministry of Education and Research (BMBF), is developing DNA-based tools to protect wild animals from being traded illegally in the future.

The technology behind it

These tools utilise a combination of genetic markers: SNPSTR technology. The SNPSTR markers can be used with the respective DNA reference samples to determine the origin and relationship of the analysed animals. For example, it can be determined whether the breeding programmes examined are actually legal offspring or whether hybrid breeding of protected birds of prey exists, which is prohibited by the Federal Species Protection Act. The coupled analysis of these markers provides a very high level of genetic information and even allows populations to be differentiated.

The project objective

The aim of the project is to support law enforcement in the illegal wildlife trade using genetic markers. In this way, endangered species can be protected and individual populations are given a chance to recover. As part of the project, we are offering to set up a database with a freely accessible online portal containing marker and sequence data for a large number of genetic loci for endangered animal species with high relevance for species protection authorities. In addition to the database, the project will also create a physical sample bank for the wildlife species, which will be stored in the LIB Biobank as a liquid nitrogen-cooled tissue and DNA collection. In addition to more conventional sample types, biopsies of recently deceased animals will also be taken to create cell cultures to specifically preserve living cells.

Dr. Jonas Astrin

  • Head of Section
  • Biobank Curator

Phone: +49 228 9122 357
E-Mail: j.astrin@leibniz-lib.de

Team

  • Albia Consul

    zbm Applied & Experimental Ecology Scientist

    Phone: +49 228 9122 359
    E-mail: a.consul@leibniz-lib.de

  • Dr. Peter Grobe

    ztm Biodiversity informatics Scientist

    Phone: +49 228 9122 342
    E-mail: p.grobe@leibniz-lib.de

  • Sebastian Martin

    Scientist

    Phone: +49 228 9122 428
    E-mail: s.martin@leibniz-lib.de

  • Prof. Dr. Bernhard Misof

    Management Director

    Phone: +49 228 9122 200
    E-mail: b.misof@leibniz-lib.de

Financing

External team members

Mark Auliya

Privacy Settings
This site uses cookies and third party elements to provide you with certain features and an optimal website experience. These include cookies that are strictly necessary for the operation of the site, cookies for anonymous statistical analysis/measurement, and the embedding of external services whose use you must consent to prior to use. You can find more information below in the notes on the individual functions and in detail in our privacy policy.
These cookies are necessary to enable the basic functions of our website.
This consent allows you to view external contents (via iframe).
This consent allows you to watch embedded videos.
Page views are recorded for anonymous statistical purposes using Matomo in order to constantly optimise our website. The visitor's IP address is anonymised.
Marketing cookies from Google/Meta are used to display personalised advertising. This is done by tracking visitors across websites.
Settings saved