idw – Informationsdienst Wissenschaft

Nachrichten, Termine, Experten

Grafik: idw-Logo
Science Video Project
idw-Abo

idw-News App:

AppStore

Google Play Store



Instance:
Share on: 
12/07/2023 14:02

All good things come from above! DNA-based food analysis in the evening bat

Florian Steinkröger Presse und Kommunikation
Leibniz-Institut zur Analyse des Biodiversitätswandels

    Adequate food supply is a fundamental need and requirement for survival. To protect a species, it is often very helpful to know what that species prefers and frequently consumes. Through the analysis of DNA traces in the droppings of a Leisler’s bat colony, researchers at LIB (Leibniz Institute for the Analysis of Biodiversity Change) have now identified an astonishingly high number —over 350— different insect species that were consumed by the bats.

    Especially for small animal species and those that are nocturnal, it can be extremely difficult to determine what they feed on. Identifying small prey insects or their remains is also rarely possible down to the exact species or family. In the case of the studied bat species, there is the additional challenge that it is a forest bat species that needs to be located first. "Following bats equipped with radio transmitters in the forest at night is quite special," says Martin Koch, co-initiator of the study.

    Fortunately — but also complicating matters — there are about 13 different bat species living in the investigated area near Bonn, in the forests of the Natura 2000 area 'Waldreservat Kottenforst.' Initially, as part of an EU Life+ project, roosts — the trees where the bats live — of the Leisler’s bats were identified, from which the study's starting material was then obtained. This was done using a specially developed "guano trap." The trap consists of approximately 2.2 square meters of mosquito netting stretched rectangularly.

    It was installed about 3 meters high on the tree trunk, below the entrance to the roosting cavity at about 9 meters high. During the so-called "twilight swarming" after the nightly insect hunt, the bats return to the roosting cavity and initially circle the tree. They frequently perch briefly next to the cavity entrance and stick a small guano pellet to the trunk. Regularly, pellets fall and land in the mosquito netting under the cavity entrance. This "bat guano" was collected, fixed, and further processed in the laboratory.

    "It's fascinating how much DNA you can extract from a small amount of droppings and how much information we can draw from the DNA: from which bat species does the droppings come, and what has the bat eaten?" explains Dr. Kathrin Langen, TA Metabarcoding. Using the DNA contained in the droppings, our researchers were able to determine nine samples from nine different nights when only the target species swarmed around the roosting tree. On six other nights, other bats and a species of mouse were also active around the roosting tree. From the nine samples containing only the guano of the evening bat, an astonishingly rich menu was then reconstructed: the group consumed at least 126 different species of moths, 86 different species of flies and mosquitoes, 48 species of beetles, and a few dozen other various species of bugs, mayflies, caddisflies, and lacewings. Occasionally, spiders, harvestmen, lice, and other small animals were also consumed.

    From the results, the team was able to deduce which of the three molecular genetic markers used worked best and provided the most species detections, a total of 358. "It's incredibly satisfying to see what species lists come out at the end of all the lab work and bioinformatics," says Dr. Sarah Bourlat, Head of the Metabarcoding Section at LIB, Bonn. However, the temporal course of the composition of the consumed insects was also interesting to observe: from late March to late June, the number of species in the guano steadily increases, only to decrease again by mid-August. This aligns very well with the activity patterns of certain insect groups.

    The beech moth was the most frequently consumed butterfly, and a mayfly known as the transient virgin or ‘Uferaas’, was the most frequently consumed mayfly. The author team has listed the most important ecological parameters for the 18 key prey species in the study to contribute to better protecting the Leisler’s bat and the habitats needed by its prey insects.


    Contact for scientific information:

    Leibniz Institute for the Analysis of Biodiversity Change (LIB)
    Museum Koenig Bonn
    Martin Koch
    kochmartinp@gmail.com


    Original publication:

    Bourlat SJ, Koch M, Kirse A, Langen K, Espeland M, Giebner H, Decher J, Ssymank A, Fonseca VG (2023) Metabarcoding dietary analysis in the insectivorous bat Nyctalus leisleri and implications for conservation. Biodiversity Data Journal 11: e111146. https://doi.org/10.3897/BDJ.11.e111146


    Images

    Portrait of the studied species Nyctalus leisleri, Leisler’s bat.
    Portrait of the studied species Nyctalus leisleri, Leisler’s bat.

    M. Koch


    Criteria of this press release:
    Journalists
    Biology, Environment / ecology, Nutrition / healthcare / nursing, Oceanology / climate, Zoology / agricultural and forest sciences
    transregional, national
    Research projects, Research results
    English


     

    Portrait of the studied species Nyctalus leisleri, Leisler’s bat.


    For download

    x

    Help

    Search / advanced search of the idw archives
    Combination of search terms

    You can combine search terms with and, or and/or not, e.g. Philo not logy.

    Brackets

    You can use brackets to separate combinations from each other, e.g. (Philo not logy) or (Psycho and logy).

    Phrases

    Coherent groups of words will be located as complete phrases if you put them into quotation marks, e.g. “Federal Republic of Germany”.

    Selection criteria

    You can also use the advanced search without entering search terms. It will then follow the criteria you have selected (e.g. country or subject area).

    If you have not selected any criteria in a given category, the entire category will be searched (e.g. all subject areas or all countries).