Evidence map›Paper›PMID 34031452›Full record

ArticleScientific reports2021

Health monitoring in birds using bio-loggers and whole blood transcriptomics.

Elinor Jax, Inge Müller, Stefan Börno, Hanna Borlinghaus, Gustaw Eriksson, Evi Fricke, Bernd Timmermann, Helene Pendl, Wolfgang Fiedler, Karsten Klein and 4 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. From biologging to conservation: Tracking individual performance in changing environments.Proceedings of the National Academy of Sciences of the United States of America · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 6 institutions in 4 countries.

Elinor JaxDepartment of Migration, Max Planck Institute of Animal Behavior, 78315, Radolfzell, Germany. ejax@ab.mpg.de.
Inge MüllerDepartment of Migration, Max Planck Institute of Animal Behavior, 78315, Radolfzell, Germany.
Stefan BörnoSequencing Core Facility, Max Planck Institute for Molecular Genetics, 14195, Berlin, Germany.
Hanna BorlinghausDepartment of Computer and Information Science, University of Konstanz, 78464, Konstanz, Germany.
Gustaw ErikssonDepartment of Biology, Lund University, 223 62, Lund, Sweden.
Evi FrickeDepartment of Migration, Max Planck Institute of Animal Behavior, 78315, Radolfzell, Germany.
Bernd TimmermannSequencing Core Facility, Max Planck Institute for Molecular Genetics, 14195, Berlin, Germany.
Helene PendlPendl Lab, 6300, Zug, Switzerland.
Wolfgang FiedlerDepartment of Migration, Max Planck Institute of Animal Behavior, 78315, Radolfzell, Germany.
Karsten KleinDepartment of Computer and Information Science, University of Konstanz, 78464, Konstanz, Germany.
Falk SchreiberDepartment of Computer and Information Science, University of Konstanz, 78464, Konstanz, Germany.
Martin WikelskiDepartment of Migration, Max Planck Institute of Animal Behavior, 78315, Radolfzell, Germany.
Katharine E MagorDepartment of Biological Sciences and Li Ka Shing Institute of Virology, University of Alberta, Edmonton, AB, T6G 2R3, Canada.
Robert H S KrausDepartment of Migration, Max Planck Institute of Animal Behavior, 78315, Radolfzell, Germany.
University of Konstanz · DEMax Planck Institute of Animal Behavior · DEMax Planck Institute for Molecular Genetics · DELund University · SEMonash University · AUUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring and early detection of emerging infectious diseases in wild animals is of crucial global importance, yet reliable ways to measure immune status and responses are lacking for animals in the wild. Here we assess the usefulness of bio-loggers for detecting disease outbreaks in free-living birds and confirm detailed responses using leukocyte composition and large-scale transcriptomics. We simulated natural infections by viral and bacterial pathogens in captive mallards (Anas platyrhynchos), an important natural vector for avian influenza virus. We show that body temperature, heart rate and leukocyte composition change reliably during an acute phase immune response. Using genome-wide gene expression profiling of whole blood across time points we confirm that immunostimulants activate pathogen-specific gene regulatory networks. By reporting immune response related changes in physiological and behavioural traits that can be studied in free-ranging populations, we provide baseline information with importance to the global monitoring of zoonotic diseases.

Indexed as

Gene Regulatory NetworksAnimalsAnseriformesAvian ProteinsBlood Chemical AnalysisBody TemperatureComputer SimulationExome SequencingGene Expression ProfilingGene Expression RegulationHeart RateHigh-Throughput Nucleotide SequencingInfluenza A virusInfluenza in BirdsPopulation SurveillanceSequence Analysis, RNAAvian Proteins

Identifiers

PMID34031452
PMCPMC8144624
OpenAlexW3164107790

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.