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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8228292/ https://www.ncbi.nlm.nih.gov/pubmed/34200113 http://dx.doi.org/10.3390/plants10061150 |
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author | Jocković, Milan Jocić, Siniša Cvejić, Sandra Marjanović-Jeromela, Ana Jocković, Jelena Radanović, Aleksandra Miladinović, Dragana |
author_facet | Jocković, Milan Jocić, Siniša Cvejić, Sandra Marjanović-Jeromela, Ana Jocković, Jelena Radanović, Aleksandra Miladinović, Dragana |
author_sort | Jocković, Milan |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-8228292 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-82282922021-06-26 Genetic Improvement in Sunflower Breeding—Integrated Omics Approach Jocković, Milan Jocić, Siniša Cvejić, Sandra Marjanović-Jeromela, Ana Jocković, Jelena Radanović, Aleksandra Miladinović, Dragana Plants (Basel) Review 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. MDPI 2021-06-04 /pmc/articles/PMC8228292/ /pubmed/34200113 http://dx.doi.org/10.3390/plants10061150 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Jocković, Milan Jocić, Siniša Cvejić, Sandra Marjanović-Jeromela, Ana Jocković, Jelena Radanović, Aleksandra Miladinović, Dragana Genetic Improvement in Sunflower Breeding—Integrated Omics Approach |
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 | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8228292/ https://www.ncbi.nlm.nih.gov/pubmed/34200113 http://dx.doi.org/10.3390/plants10061150 |
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