Genetic improvement in sunflower breeding—integrated omics approach
Autori
Jocković, MilanJocić, Siniša
Cvejić, Sandra
Marjanović-Jeromela, Ana
Jocković, Jelena
Radanović, Aleksandra
Miladinović, Dragana
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
Foresight in climate change and the challenges ahead requires a systematic approach to sunflower breeding that will encompass all available technologies. There is a great scarcity of desirable genetic variation, which is in fact undiscovered because it has not been sufficiently researched as detection and designing favorable genetic variation largely depends on thorough genome sequencing through broad and deep resequencing. Basic exploration of genomes is insufficient to find insight about important physiological and molecular mechanisms unique to crops. That is why integrating information from genomics, epigenomics, transcriptomics, proteomics, metabolomics and phenomics enables a comprehensive understanding of the molecular mechanisms in the background of architecture of many important quantitative traits. Omics technologies offer novel possibilities for deciphering the complex pathways and molecular profiling through the level of systems biology and can provide important answers tha...t can be utilized for more efficient breeding of sunflower. In this review, we present omics profiling approaches in order to address their possibilities and usefulness as a potential breeding tools in sunflower genetic improvement.
Ključne reči:
sunflower / genomics / epigenomics / transcriptomics / proteomics / integrated omicsIzvor:
Plants, 2021, 10, 6, 1150-Izdavač:
- Basel : MDPI
Finansiranje / projekti:
- Razvoj novih sorti i poboljšanje tehnologija proizvodnje uljanih biljnih vrsta za različite namene (RS-MESTD-Technological Development (TD or TR)-31025)
- APV 114-451-2126/2016-03: Anatomic characterization of wild sunflower collection as a potential genepool for cultivated sunflower breeding in Vojvodina, financed by the Provincial Secretariat for Higher Education and Scientific Research, AP Vojvodina
DOI: 10.3390/plants10061150
ISSN: 2223-7747
WoS: 000666291400001
Scopus: 2-s2.0-85107188515
Kolekcije
Institucija/grupa
FiVeRTY - JOUR AU - Jocković, Milan AU - Jocić, Siniša AU - Cvejić, Sandra AU - Marjanović-Jeromela, Ana AU - Jocković, Jelena AU - Radanović, Aleksandra AU - Miladinović, Dragana PY - 2021 UR - http://fiver.ifvcns.rs/handle/123456789/2289 AB - Foresight in climate change and the challenges ahead requires a systematic approach to sunflower breeding that will encompass all available technologies. There is a great scarcity of desirable genetic variation, which is in fact undiscovered because it has not been sufficiently researched as detection and designing favorable genetic variation largely depends on thorough genome sequencing through broad and deep resequencing. Basic exploration of genomes is insufficient to find insight about important physiological and molecular mechanisms unique to crops. That is why integrating information from genomics, epigenomics, transcriptomics, proteomics, metabolomics and phenomics enables a comprehensive understanding of the molecular mechanisms in the background of architecture of many important quantitative traits. Omics technologies offer novel possibilities for deciphering the complex pathways and molecular profiling through the level of systems biology and can provide important answers that can be utilized for more efficient breeding of sunflower. In this review, we present omics profiling approaches in order to address their possibilities and usefulness as a potential breeding tools in sunflower genetic improvement. PB - Basel : MDPI T2 - Plants T1 - Genetic improvement in sunflower breeding—integrated omics approach IS - 6 SP - 1150 VL - 10 DO - 10.3390/plants10061150 ER -
@article{ author = "Jocković, Milan and Jocić, Siniša and Cvejić, Sandra and Marjanović-Jeromela, Ana and Jocković, Jelena and Radanović, Aleksandra and Miladinović, Dragana", year = "2021", abstract = "Foresight in climate change and the challenges ahead requires a systematic approach to sunflower breeding that will encompass all available technologies. There is a great scarcity of desirable genetic variation, which is in fact undiscovered because it has not been sufficiently researched as detection and designing favorable genetic variation largely depends on thorough genome sequencing through broad and deep resequencing. Basic exploration of genomes is insufficient to find insight about important physiological and molecular mechanisms unique to crops. That is why integrating information from genomics, epigenomics, transcriptomics, proteomics, metabolomics and phenomics enables a comprehensive understanding of the molecular mechanisms in the background of architecture of many important quantitative traits. Omics technologies offer novel possibilities for deciphering the complex pathways and molecular profiling through the level of systems biology and can provide important answers that can be utilized for more efficient breeding of sunflower. In this review, we present omics profiling approaches in order to address their possibilities and usefulness as a potential breeding tools in sunflower genetic improvement.", publisher = "Basel : MDPI", journal = "Plants", title = "Genetic improvement in sunflower breeding—integrated omics approach", number = "6", pages = "1150", volume = "10", doi = "10.3390/plants10061150" }
Jocković, M., Jocić, S., Cvejić, S., Marjanović-Jeromela, A., Jocković, J., Radanović, A.,& Miladinović, D.. (2021). Genetic improvement in sunflower breeding—integrated omics approach. in Plants Basel : MDPI., 10(6), 1150. https://doi.org/10.3390/plants10061150
Jocković M, Jocić S, Cvejić S, Marjanović-Jeromela A, Jocković J, Radanović A, Miladinović D. Genetic improvement in sunflower breeding—integrated omics approach. in Plants. 2021;10(6):1150. doi:10.3390/plants10061150 .
Jocković, Milan, Jocić, Siniša, Cvejić, Sandra, Marjanović-Jeromela, Ana, Jocković, Jelena, Radanović, Aleksandra, Miladinović, Dragana, "Genetic improvement in sunflower breeding—integrated omics approach" in Plants, 10, no. 6 (2021):1150, https://doi.org/10.3390/plants10061150 . .