Dr. Guilherme B. Neumann

Scientist

Head of Bioinformatics
Department of Wildlife Diseases
 
Tel: 0049 (0) 30 5168 - 237
E-Mail: neumann@izw-berlin.de
 

Short curriculum vitae

Dr. Guilherme Neumann is a junior research group leader in bioinformatics applied to wildlife diseases. He obtained his PhD in Genetics from Humboldt University of Berlin (Germany) in 2023, and holds a Master’s degree in Computer Science and a Bachelor’s degree in Biology both from the Pontifical Catholic University of Rio de Janeiro (Brazil). His research focuses on the application of next-generation sequencing to questions in conservation and population genetics, evolutionary genomics, and wildlife disease dynamics, with the aim of improving the conservation of endangered species. His work is inherently interdisciplinary, integrating bioinformatics, genetics, virology, microbiology, ecology, and evolutionary biology within the broader framework of One Health.
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Projects
Research interests
  • Wildlife Conservation
  • Conservation Genetics
  • Wildlife Diseases
  • One Health
  • Animal Breeding
Selected publications
  1. Neumann GB, Tarlinton R, Korkuć P, Gaffney PM, Viaud-Martinez KA, Urbaniak S, Nobuta K, Dayaram A, Mulot B, Ternes K, Alquezar-Planas DE, Roca AL, Jern P, Singleton CL & Greenwood AD. (2026). Multi-generational koala pedigree analysis reveals rapid changes in heritable provirus load associated with life history traits. Nature Communications 17(345). https://doi.org/10.1038/s41467-025-66312-8

  2. Neumann GB, Korkuć P, Rahmatalla SA, Reißmann M, Omer EAM, Elzaki S & Brockmann GA. (2025). Surviving the Heat: Genetic Diversity and Adaptation in Sudanese Butana Cattle. Genes 16(12), 1429. https://doi.org/10.3390/GENES16121429

  3. Wolf M, Yin T, Neumann GB, Korkuć, P, Brockmann GA & König S. (2025). Single-Step Breeding Value Estimations and Optimum Contribution Selection in Endangered Dual-Purpose German Black Pied Cattle (DSN) Using a Breed Specific SNP Chip. Journal of Animal Breeding and Genetics, 0, 1–11. https://doi.org/10.1111/JBG.12929

  4. Neumann GB, Korkuć P, Reißmann M, Wolf MJ, May K, König S, & Brockmann GA. (2023). Unmapped short reads from whole-genome sequencing indicate potential infectious pathogens in German Black Pied cattle. Veterinary Research, 54(1), 95. https://doi.org/10.1186/S13567-023-01227-0

  5. Korkuć P, Neumann GB, Hesse D, Arends D, Reißmann M, Rahmatalla S, May K, Wolf MJ, König S, Brockmann GA. (2023). Whole-Genome Sequencing Data Reveal New Loci Affecting Milk Production in German Black Pied Cattle (DSN). Genes 14(3):581. https://doi.org/10.3390/genes14030581

  6. Wolf MJ, Neumann GB, Korkuć P, Yin T, Brockmann GA, König S & May K. (2023). Genetic evaluations for endangered dual-purpose German Black Pied cattle using 50K SNPs, a breed-specific 200K chip, and whole-genome sequencing. Journal of Dairy Science, 106(5), 3345–3358. https://doi.org/10.3168/JDS.2022-22665

  7. Neumann GB, Korkuć P, Arends D, Wolf MJ, May K, König S & Brockmann GA. (2023). Genomic diversity and relationship analyses of endangered German Black Pied cattle (DSN) to 68 other taurine breeds based on whole-genome sequencing. Frontiers in Genetics, 13(993959). https://doi.org/10.3389/FGENE.2022.993959

  8. Neumann GB, Korkuć P, Arends D, Wolf MJ, May K, Reißmann M, Elzaki S, König S & Brockmann GA. (2021). Design and performance of a bovine 200k SNP chip developed for endangered German Black Pied cattle (DSN). BMC Genomics, 22(1), 1–13. https://doi.org/10.1186/S12864-021-08237-2

  9. Wolf MJ, Yin T, Neumann GB, Korkuć P, Brockmann GA, König S & May K. (2021). Genome-Wide Association Study Using Whole-Genome Sequence Data for Fertility, Health Indicator, and Endoparasite Infection Traits in German Black Pied Cattle. Genes 12(8), 1163. https://doi.org/10.3390/GENES12081163

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