title: OMICS Technologies and Applications in Sugar Beet.
abstract: Sugar beet is a species of the Chenopodiaceae family. It is an important sugar crop that supplies approximately 35% of the sugar in the world. Sugar beet M14 line is a unique germplasm that contains genetic materials from Beta vulgaris L. and Beta corolliflora Zoss. And exhibits tolerance to salt stress. In this review, we have summarized OMICS technologies and applications in sugar beet including M14 for identification of novel genes, proteins related to biotic and abiotic stresses, apomixes and metabolites related to energy and food. An OMICS overview for the discovery of novel genes, proteins and metabolites in sugar beet has helped us understand the complex mechanisms underlying many processes such as apomixes, tolerance to biotic and abiotic stresses. The knowledge gained is valuable for improving the tolerance of sugar beet and other crops to biotic and abiotic stresses as well as for enhancing the yield of sugar beet for energy and food production.
authors.affiliation: Key Laboratory of Molecular Biology of Heilongjiang Province, College of Life Sciences, Heilongjiang UniversityHarbin, China; Engineering Research Center of Agricultural Microbiology Technology, Ministry of Education, Heilongjiang UniversityHarbin, China.
authors.forename: Yongxue
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: Key Laboratory of Molecular Biology of Heilongjiang Province, College of Life Sciences, Heilongjiang UniversityHarbin, China; Engineering Research Center of Agricultural Microbiology Technology, Ministry of Education, Heilongjiang UniversityHarbin, China.
authors.forename: Jingdong
authors.initials: J
authors.lastname: Nan
authors.affiliation: Key Laboratory of Molecular Biology of Heilongjiang Province, College of Life Sciences, Heilongjiang UniversityHarbin, China; Engineering Research Center of Agricultural Microbiology Technology, Ministry of Education, Heilongjiang UniversityHarbin, China.
authors.forename: Bing
authors.initials: B
authors.lastname: Yu
keywords: genomics; metabolomics; proteomics; sugar beet; transcriptomics