Genetic Improvement in Sunflower Breeding—Integrated Omics Approach
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 detecti...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Plants |
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| Online Access: | https://www.mdpi.com/2223-7747/10/6/1150 |
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| author | Milan Jocković Siniša Jocić Sandra Cvejić Ana Marjanović-Jeromela Jelena Jocković Aleksandra Radanović Dragana Miladinović |
| author_facet | Milan Jocković Siniša Jocić Sandra Cvejić Ana Marjanović-Jeromela Jelena Jocković Aleksandra Radanović Dragana Miladinović |
| author_sort | Milan Jocković |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T10:41:55Z |
| format | Article |
| id | doaj.art-5a083dedf12a4b99b1f49051af268a69 |
| institution | Directory Open Access Journal |
| issn | 2223-7747 |
| language | English |
| last_indexed | 2024-03-10T10:41:55Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Plants |
| spelling | doaj.art-5a083dedf12a4b99b1f49051af268a692023-11-21T22:53:46ZengMDPI AGPlants2223-77472021-06-01106115010.3390/plants10061150Genetic Improvement in Sunflower Breeding—Integrated Omics ApproachMilan Jocković0Siniša Jocić1Sandra Cvejić2Ana Marjanović-Jeromela3Jelena Jocković4Aleksandra Radanović5Dragana Miladinović6Institute of Field and Vegetable Crops, Maksima Gorkog 30, 21000 Novi Sad, SerbiaInstitute of Field and Vegetable Crops, Maksima Gorkog 30, 21000 Novi Sad, SerbiaInstitute of Field and Vegetable Crops, Maksima Gorkog 30, 21000 Novi Sad, SerbiaInstitute of Field and Vegetable Crops, Maksima Gorkog 30, 21000 Novi Sad, SerbiaDepartment of Biology and Ecology, Faculty of Sciences, University of Novi Sad, Dositeja Obradovića 3, 21000 Novi Sad, SerbiaInstitute of Field and Vegetable Crops, Maksima Gorkog 30, 21000 Novi Sad, SerbiaInstitute of Field and Vegetable Crops, Maksima Gorkog 30, 21000 Novi Sad, SerbiaForesight 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.https://www.mdpi.com/2223-7747/10/6/1150sunflowergenomicsepigenomicstranscriptomicsproteomicsintegrated omics |
| spellingShingle | Milan Jocković Siniša Jocić Sandra Cvejić Ana Marjanović-Jeromela Jelena Jocković Aleksandra Radanović Dragana Miladinović Genetic Improvement in Sunflower Breeding—Integrated Omics Approach Plants sunflower genomics epigenomics transcriptomics proteomics integrated omics |
| title | Genetic Improvement in Sunflower Breeding—Integrated Omics Approach |
| title_full | Genetic Improvement in Sunflower Breeding—Integrated Omics Approach |
| title_fullStr | Genetic Improvement in Sunflower Breeding—Integrated Omics Approach |
| title_full_unstemmed | Genetic Improvement in Sunflower Breeding—Integrated Omics Approach |
| title_short | Genetic Improvement in Sunflower Breeding—Integrated Omics Approach |
| title_sort | genetic improvement in sunflower breeding integrated omics approach |
| topic | sunflower genomics epigenomics transcriptomics proteomics integrated omics |
| url | https://www.mdpi.com/2223-7747/10/6/1150 |
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