Summary: A genomic DNA library enriched with GA/TC repeats from Camelina sativa variety Calena has been analysed. Link: http://link.springer.com/article/10.1007%2Fs10722-012-9913-8#page-1
Summary: This is the first report of a transcriptome database for Camelina sativa. We showed that C. savita is closely related to Arabidopsis spp. and more distantly related to Brassica spp. Although the majority of annotated genes had high sequence identity to those of A. thaliana, a substantial proportion of disease-resistance genes were instead more closely similar to the genes ...
Summary: We generated the first chromosome-scale high-quality reference genome sequence for C. sativa and annotated 89,418 protein-coding genes, representing a whole-genome triplication event relative to the crucifer model Arabidopsis thaliana. C. sativa represents the first crop species to be sequenced from lineage I of the Brassicaceae. The well-preserved hexaploid genome structure of C. sativa surprisingly mirrors those of economically important ...
Summary: There is compelling evidence for triplication of the C. sativa genome, including a larger chromosome number and three-fold larger measured genome size than other Camelina relatives, three isolated copies of FAD2, FAE1, and the KCS17-FAE1 intergenic region, and three expressed haplotypes observed for six predicted single-copy genes. Based on these results, we propose that C. sativa be considered an ...
Summary: We investigated the role of geographical origin in genetic variation and fatty acid content, expecting to find significant variability among 53 accessions and a link between ecogeography and both origin and key oil traits. Although sampling was relatively biased towards the Russian–Ukrainian area, this region was identified as a genetic diversity hotspot and possible centre of origin for camelina. ...
Summary: In this study, a genetic map for C. sativa was constructed, using amplified fragment length polymorphism markers, in a population of recombinant inbred lines. The map was used to localize quantitative trait loci for agronomic characteristics, such as seed yield, oil content, 1000-seed weight, and plant height. The results represent a starting point for future marker-assisted breeding. Link: http://www.ncbi.nlm.nih.gov/pubmed/17426770
