Dr. rer. nat. Anja Eggert

Research Institute for Farm Animal Biology (FBN)
Working group Statistics in Genomics
Head of Service Group Statistical Consulting
Wilhelm-Stahl-Allee 2
18196 Dummerstorf

Research interests

  • Applied biological and ecological statistics
  • Numerical modelling of ecosystems by using coupled physical-biogeochemical simulation models
  • Adaptation of organisms to environmental stress, e.g. temperature
  • Biogeography, chemotaxonomy and evolution of (marine) organisms

Curriculum Vitae

  • 2018-present: Head of Service Group Statistical Consulting at FBN Dummerstorf
  • 2009-2018: Research fellow in the Department Physical Oceanography and Instrumentation at the Leibniz Institute for Baltic Sea Research Warnemünde (IOW)
  • 2016: Research fellow at the Benthic Ecology group at the Helmholtz Centre for Ocean research Kiel (GEOMAR)
  • 2002-2009: Research fellow at the Institute of Biological Sciences at the University of Rostock
  • 1997-2001: PhD Thesis „Thermal ecotypes and genetic divergence in subtropical marine macrophytes” in the Department of Marine Biology at the University of Groningen, The Netherlands
  • 1991-1997: Diplom in Biology at the University of Bremen
  • 1994-1995: Exchange student at the University of Maryland, USA
  • 1990-1991: Diplom in Biology at the University of Rostock
  • 1990: Abitur at the Heinrich-Hertz Gymnasium, specialised in mathematics and natural sciences, Berlin

Professional Activities

  • 2017-2018: EU-BONUS-Project: -Integrated carbon and trace gas monitoring for the Baltic Sea, INTEGRAL
  • 2016-2017: BMBF-Project: Environmental monitoring for the delaboration of munition in the sea, UDEMM
  • 2016: BMBF-Project: Biological impacts of ocean acidification, BIOACID
  • 2009-2015: BMBF-Project: Geochemistry and Ecology of the Namibian Upwelling System, GENUS
  • 2003-2009: DFG-Project (Principal investigator): Biodiversity and ecophysiology of ancestral red algae of the Baltic Sea
  • 2002-2003: BMBF-Project: Entwicklung von leitbildorientierten Bewertungsgrundlagen für Übergangsgewässer nach der EU-Wasserrahmenrichtlinie: Innere Küstengewässer der deutschen Ostseeküste (ELBO)

Publications

Vanselow, J.; Wesenauer, C.; Eggert, A.; Sharma, A.; Becker, F. (2024):
Summer heat during spermatogenesis reduces in vitro blastocyst rates and affects sperm quality of next generation bulls [epublished ahead of print].
Andrology
https://doi.org/10.1111/andr.13627
Moscovice, L. R.; Eggert, A.; Manteuffel, C.; Rault, J.-L. (2023):
Spontaneous helping in pigs is mediated by helper's social attention and distress signals of individuals in need
P Roy Soc B-Biol Sci 290 (2004): 20230665, 1-12
https://doi.org/10.1098/rspb.2023.0665
Schwerdtfeger, J.; Krause, A.; Kalbe, C.; Mazzuoli-Weber, G.; Eggert, A.; Puppe, B.; Kuhla, B.; Röttgen, V. (2023):
Endocannabinoid administration affects taste preference and the expression of cannabinoid and opioid receptors in the amygdala of early lactating cows. Sci Rep-UK 13: 4967, 1-13
Vernunft, A.; Eggert, A.; Brüssow, K.-P. (2022):
Ultrasonographic Monitoring of Fetal Growth and Fetal Weight Calculation in Sows during Gestation. AGRICULTURE-BASEL 13 (1): 16, 1-15
Schregel, J.; Schulze Holthausen, J.; Sciascia, Q. L.; Li, Z.; Görs, S.; Eggert, A.; Tuchscherer, A.; Zentek, J.; Metges, C. C. (2022):
Effects of oral glutamine supplementation on jejunal morphology, development, and amino acid profiles in male low birth weight suckling piglets. Plos One 17 (4): e0267357, 1-24
Moscovice, L. R.; Gimsa, U.; Otten, W.; Eggert, A. (2022):
Salivary Cortisol, but Not Oxytocin, Varies With Social Challenges in Domestic Pigs: Implications for Measuring Emotions. Front Behav Neurosci 16: 899397, 1-15
Dannenberger, D.; Eggert, A.; Kalbe, C.; Woitalla, A.; Schwudke, D. (2022):
Are n-3 PUFAs from microalgae incorporated into membrane and storage lipids in pig muscle tissue? - A lipidomic approach. ACS Omega 7 (28): 24785-24794
Mbuthia, J. M.; Eggert, A.; Reinsch, N. (2022):
Cooling temperature humidity index-days as a heat load indicator for milk production traits. Front Anim Sci 3: 946592, 1-9
Mbuthia, J. M.; Eggert, A.; Reinsch, N. (2022):
Comparison of high resolution observational and grid-interpolated weather data and application to thermal stress on herd average milk production traits in a temperate environment. AGR FOREST METEOROL 322: 108923, 1-10
Danesh-Mesgaran, S.; Eggert, A.; Höckels, P.; Derno, M.; Kuhla, B. (2020):
The use of milk Fourier transform mid-infrared spectra and milk yield to estimate heat production as a measure of efficiency of dairy cows. J Anim Sci Biotechno 11: 43, 1-9
https://doi.org/10.1186/s40104-020-00455-0