Abstract
Emerging pathogens have developed ingenious life cycles to facilitate their growth and survival in the host organism. Detailed knowledge of the life cycle of these pathogens is increasingly necessary if we are to design new strategies to prevent infection and transmission. Multi-omics platforms provide useful data at different biological levels, and integration of these data into current approaches can facilitate holistic assessment of emerging pathogens. In this chapter, we bring together various methods and apply an integrative approach for analysis of genomic and transcriptomic data in Babesia divergens, an Apicomplexa emerging parasite that invades red blood cells and causes redwater fever in cattle and the most severe form of babesiosis in humans in Europe. The integrative methodology described herein can be helpful to identify genes active at specific points during life cycle of Apicomplexa parasites.
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Acknowledgments
We are grateful to “Unidad de Secuenciación Masiva y Bioinformática” of the “Laboratorio Nacional de Apoyo Tecnológico a las Ciencias Genómicas,” CONACyT #260481, at the Instituto de Biotecnología/UNAM for sequencing and bioinformatics support. We thank Centro de Transfusiones de la Comunidad de Madrid that provided the human A+ blood from healthy volunteer donors. This work was supported by grants from Ministerio de Economia y Competitividad and the Health Institute Carlos III from Spain (AGL2014-56193 and PI20CIII/00037 to EM and LMG). ES was awarded a research fellowship from Plan Estatal de Investigación Científica y Técnica y de Innovación, Ministerio de Economía y Competitividad, Spain. Alejandro Sánchez-Flores and Estrella Montero have contributed equally to this work.
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Gonzalez, L.M., Sevilla, E., Fernández-García, M., Sanchez-Flores, A., Montero, E. (2021). Integration of Genomic and Transcriptomic Data to Elucidate Molecular Processes in Babesia divergens. In: de Pablos, L.M., Sotillo, J. (eds) Parasite Genomics. Methods in Molecular Biology, vol 2369. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-1681-9_12
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