Труды Кубанского государственного аграрного университета


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2018, № 72

UDC: 606:63:57.017
GSNTI: 34.55.15

Application analisys of ontologies in crop breeding

Crop selection is a long and time-consuming process, but nowadays, using the accumulated experience and accessibility of biotechnological research, it is possible to make this process faster and more efficient. The volume of biological and genetic information in the field of molecular biology and biotechnology has increased significantly. Researchers need a multidisciplinary approach to understand the biological processes from genes to the expression of traits in crops. This approach requires the retrieval of biological data sets from a large number of sources. The interaction between these sources makes it possible to use comparative genomic information, to reveal the functional aspects of biology and to carry out studies of synteny and homology. CGIAR gene banks store valuable information for plant breeders in the form of agricultural crops databases. For convenient and effective work with such databases, the Ontology of Crop Ontology (CO) has been developed, providing controlled dictionary sets for several economically important plant species. Also, metabolic databases were created to evaluate the response of organisms to biotic and abiotic factors, as well as data sets based on microarrays to monitor the gene expression level. Thus, EXPath makes it possible to simplify the extraction of microarraydata for gene expression from public resources and the analysis of comparative expression using five basic functions and an extended combined analysis. To date, ontologies can be successfully applied in the selection of rice, corn and wheat, but for other crops with their help it is only possible to build hypotheses.
Keywords: Ontology, metabolic pathway, gene expression, Gene Ontology, Crop Ontology, Microarray Gene Expression Data
DOI: 10.21515/1999-1703-72-132-134

References:

  1. Atkinson, N. J. The interaction of plant biotic and abiotic stresses: from genes to the field / N. J. Atkinson, P. E. Urwin // Journal of experimental botany. - 2012. - Vol. 63 (10). - P. 3523-3543. doi:10.1093/jxb/ers100.
  2. EXPath: a database of comparative expression analysis inferring metabolic pathways for plants / C. H. Chien, C. N. Chow, N. Y. Wu [et al.] // BMC Genomics. - 2015. - Vol. 16 (2). - P. 1. doi: 10.1186/1471-2164-16-S2-S6.
  3. Comparative co-expression analysis in plant biology / S. Movahedi, M. Van Bel, K. S. Heyndrickx [et al.] // Plant, Cell &Environment. - 2012. - Vol. 35 (10). - P. 1787-1798. doi: 10.1111/j.1365-3040.2012. 02517.x.

Authors:

  1. Dobronogova Anna Sergeevna, PhD-student; Department of Genetics, Biotechnology, Plant Breeding and Seed Science, Federal State Budgetary Educational Institute of Higher Education “Russian State Agrarian University - Moscow Timiryazev Agricultural Academy”.
  2. Cherednichenko Mikhail Yuryevich, PhD in Biotechnology, associate professor; Department of Genetics, Biotechnology, Plant Breeding and Seed Science, Federal State Budgetary Educational Institute of Higher Education “Russian State Agrarian University - Moscow Timiryazev Agricultural Academy”.