Dr. rer. nat. Praveen Krishna Chitneedi

Research Institute for Farm Animal Biology (FBN)
Working group Genome Annotation
Wilhelm-Stahl-Allee 2
18196 Dummerstorf
Mecklenburg-Vorpommern

Research interests

  • Bioinformatics
  • Association studies GxE
  • Machine learning
  • NGS data analysis

Curriculum Vitae

  • 2020 - Present : Scientist in the field of Molecular Biology/Bioinformatics , Research Institute for Farm Animal Biology (FBN)
  • 2015- 2019: PhD in Animal Genetics Topic: “Using  genomic tools for high resolution mapping of genes associated to production traits and  disease resistance traits in Churra sheep”. University of Leon, Leon, Spain
  • 2013–2014: Early Stage Researcher funded by the European funded Marie Curie ITN project Nematode System Health (International Training Network-7th Framework  Program; PEOPLE-2010-ITN#264639). Department Animal Production, Veterinary faculty, University of Leon, Leon Spain
  • 2010–2013: MSc (Masters of Life Science Informatics) , Bonn-Aachen International Center for Information Technology, Bonn Germany
  • 2005–2009: B-Tech (Bachelor of Biotechnology) , Acharya Nagarjuna University, India

Publications

Chitneedi, P. K.; Hadlich, F.; Moreira, G. C. M.; Espinosa-Carrasco, J.; Li, C.; Plastow, G.; Fischer, D.; Charlier, C.; Rocha, D.; Chamberlain, A. J.; Kuehn, C. (2024):
eQTL-Detect: nextflow-based pipeline for eQTL detection in modular format with sharable and parallelizable scripts
NAR Genomics and Bioinformatics 6(3): lqae122, 1-9
https://doi.org/10.1093/nargab/lqae122
Cai, Z.; Iso-Touru, T.; Sanchez, M.-P.; Kadri, N.; Bouwman, A. C.; Chitneedi, P. K.; MacLeod, I. M.; Vander Jagt, C. J.; Chamberlain, A. J.; Gredler-Grandl, B.; Spengeler, M.; Lund, M. S.; Boichard, D.; Kühn, C.; Pausch, H.; Vilkki, J.; Sahana, G. (2024):
Meta-analysis of six dairy cattle breeds reveals biologically relevant candidate genes for mastitis resistance
Genetics Selection Evolution 56: 54, 1-22
https://doi.org/10.1186/s12711-024-00920-8
Sanchez, M.P.; Tribout, T.; Kadri, N.K.; Chitneedi, P.K.; Maak, S.; Hozé, C.; Boussaha, M.; Croiseau, P.; Philippe, R.; Spengeler, M; Kühn, C.; Wang, Y.; Li, C.; Plastow, G.; Pausch, H.; Boichard, D. (2023):
Sequence-based GWAS meta-analyses for beef production traits. Genet Sel Evol. 2023 Oct 12;55(1):70.
10.1186/s12711-023-00848-5
Marina, H.; Chitneedi, P.; Pelayo, R.; Suarez-Vega, A.; Esteban-Blanco, C.; Gutiérrez-Gil, B.; Arranz, J. J. (2021):
Study on the concordance between different SNP-genotyping platforms in sheep. Anim Genet 52 (6): 868-880
https://doi.org/10.1111/age.13139
Chitneedi, P.; Weikard, R.; Arranz, J. J.; Martínez-Valladares, M.; Kühn, C.; Gutiérrez-Gil, B. (2021):
Identification of Regulatory Functions of LncRNAs Associated With T. circumcincta Infection in Adult Sheep. Front Genet 12: 685341, 1-18
https://doi.org/10.3389/fgene.2021.685341
Chitneedi, P. K.; Arranz, J. J.; Suarez‐Vega, A.; Martínez-Valladares, M.; Gutiérrez-Gil, B. (2020):
Identification of potential functional variants underlying ovine resistance to gastrointestinal nematode infection by using RNA‐Seq.
https://doi.org/10.1111/age.12894
Chitneedi, P. K.; Suárez-Vega, A.; Martínez-Valladares, M.; Arranz, J. J.; Gutiérrez-Gil, B. (2018):
Exploring the mechanisms of resistance to Teladorsagia circumcincta infection in sheep through transcriptome analysis of abomasal mucosa and abomasal lymph nodes. Veterinary research, 49(1), 39.
https://doi.org/10.1186/s13567-018-0534-x
Gutierrez-Gil, B.; Esteban-Blanco, C.; Wiener, P.; Chitneedi, P. K.; Suarez- Vega, A.; Arranz, J. J. (2017):
High-resolution analysis of selection sweeps identified between fine-wool Merino and coarse-wool Churra sheep breeds. Genetics Selection Evolution, 49(1), 81.
https://doi.org/10.1186/s12711-017-0354-x
Chitneedi, P. K.; Arranz, J.J.; Suarez-Vega, A.; García-Gámez, E.; Gutierrez-Gil, B. (2017):
Estimations of linkage disequilibrium, effective population size and ROH-based inbreeding coefficients in Spanish Churra sheep using imputed high-density SNP genotypes. Animal genetics, 48(4), 436-446.
https://doi.org/10.1111/age.12564