Leaf total transcriptome analysis enriches insight into maize abiotic stress signaling network

Autor: Banović Đeri, Bojana, Dudić, Dragana, Božić, Manja, Janić, Pavle, Džodanović, Lana, Samardžić, Jelena, Ignjatović-Micić, Dragana, Vančetović, Jelena, Božinović, Sofija, Dodig, Dejan, Delić, Nenad, Nikolić, Ana
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: 6. Congress of the Serbian Genetic Society, 14-17 October, 2019, Vrnjačka Banja, Serbia-Book of Abstracts
Popis: Abiotic stresses cause great losses in crop production worldwide. Due to climatic changes temperatures higher than the average are frequently observed in temperate areas in the course of maize flowering and grain filling period, displaying detrimental effect on maize yield. In order to overcome this problem development of drought tolerant maize lines, but also cold tolerant maize lines that would allow earlier sowing and hence avoidance of extremely high temperatures during sensitive developmental phases in maize, became important goal of maize breeding programs in temperate areas. A set of 46 maize inbred lines was chosen from three main heterotic groups (BSSS, Lancaster, Iowa dent) important for commercial breeding programs. Plants were grown under the optimal conditions in the greenhouse and sampled upon entering V5 growth stage. A total RNA isolated from leaves of three plants of each inbred line was used for DNA library preparation by Illumina TruSeq Stranded RNA LT kit. Pair-end sequencing was performed on MiSeq Illumina sequencer using MiSeq Reagent kit v2 (2x150bp). For data manipulation and analysis a custom made bioinformatics pipeline was used. Differential gene expression analysis revealed a minimum of 21 genes that were strongly statistically supported for differential expression between the inbred lines and also annotated as involved in abiotic stress responses in other plant species. We tested 10 of these genes in maize by using qPCR on the subset of 8 inbred lines grown under optimal, cold and drought conditions. Real-time PCR results revealed significant change in the expression level of tested genes under abiotic stresses, supporting bioinformatics prediction. Verified genes were then submitted to free online gene networking tools and after determining relationships between predicted networks and inbred line phenotypes, possible novel gene candidates for enriching maize abiotic stress signaling network resolution were proposed.
Databáze: OpenAIRE