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Assessment of FAE1 polymorphisms in three Brassica species using EcoTILLING and their association with differences in seed erucic acid contents

BACKGROUND: FAE1 (fatty acid elongase1) is the key gene in the control of erucic acid synthesis in seeds of Brassica species. Due to oil with low erucic acid (LEA) content is essential for human health and not enough LEA resource could be available, thus new LEA genetic resources are being sought fo...

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Detalles Bibliográficos
Autores principales: Wang, Nian, Shi, Lei, Tian, Fang, Ning, Huicai, Wu, Xiaoming, Long, Yan, Meng, Jinling
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3017795/
https://www.ncbi.nlm.nih.gov/pubmed/20594317
http://dx.doi.org/10.1186/1471-2229-10-137
Descripción
Sumario:BACKGROUND: FAE1 (fatty acid elongase1) is the key gene in the control of erucic acid synthesis in seeds of Brassica species. Due to oil with low erucic acid (LEA) content is essential for human health and not enough LEA resource could be available, thus new LEA genetic resources are being sought for Brassica breeding. EcoTILLING, a powerful genotyping method, can readily be used to identify polymorphisms in Brassica. RESULTS: Seven B. rapa, nine B. oleracea and 101 B. napus accessions were collected for identification of FAE1 polymorphisms. Three polymorphisms were detected in the two FAE1 paralogues of B. napus using EcoTILLING and were found to be strongly associated with differences in the erucic acid contents of seeds. In genomic FAE1 sequences obtained from seven B. rapa accessions, one SNP in the coding region was deduced to cause loss of gene function. Molecular evolution analysis of FAE1 homologues showed that the relationship between the Brassica A and C genomes is closer than that between the A/C genomes and Arabidopsis genome. Alignment of the coding sequences of these FAE1 homologues indicated that 18 SNPs differed between the A and C genomes and could be used as genome-specific markers in Brassica. CONCLUSION: This study showed the applicability of EcoTILLING for detecting gene polymorphisms in Brassica. The association between B. napus FAE1 polymorphisms and the erucic acid contents of seeds may provide useful guidance for LEA breeding. The discovery of the LEA resource in B. rapa can be exploited in Brasscia cultivation.