Project description:Camelina is an annual oilseed plant that is gaining momentum as a biofuel winter cover crop. Understanding gene regulatory networks (GRNs) is essential to deciphering plant metabolic pathways, including lipid metabolism. Here, we take advantage of a growing collection of gene expression datasets to predict transcription factors (TFs) associated with the control of Camelina lipid metabolism. Also, we performed RNA-seq assays of Camelina's seed at 5, 8, and 11 days post-anthesis (DPA) to improve the transcriptomic resolution of the early stages of the Camelina seed development. We identified ~350 TFs highly co-expressed with lipid-related genes (LRGs). After prioritizing the top 22 TFs for further validation, we identified DNA-binding sites and predicted target genes for 16/22 TF using DNA affinity purification sequencing (DAP-seq). Enrichment analyses supported the co-expression prediction for most TF candidates, and the comparison to Arabidopsis revealed some common themes and aspects unique to Camelina. Altogether, the integration of co-expression data and DNA-binding assays permitted us to generate a high-confident and shortlist of Camelina TFs involved in controlling lipid metabolism during seed development.
Project description:This study was performed to investigate assess the impacts of CO and/or CM containing diets on Atlantic salmon hepatic gene expression in order to identify candidate molecular biomarkers of responses to camelina-containing diets. Atlantic salmon were fed diets with complete or partial replacement of FO and/or FM with camelina oil (CO) and/or camelina meal (CM) in a 16-week trial (Control diet: FO; Test diet: 100% FO replacement with CO, with solvent-extracted FM and inclusion of 10% CM (100COSEFM10CM). A 44K microarray experiment identified liver transcripts that responded to 100COSEFM10CM (associated with reduced growth) compared to FO controls at week 16.
Project description:Camelina sativa (hereafter Camelina) has emerged as a promising platform for metabolic engineering due to its short lifecycle, high seed oil content, and amenability to transformation. Previous work has demonstrated the successful introduction of non‑native pathways for the synthesis of very long chain polyunsaturated fatty acids (VLC‑PUFAs), including eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). These achievements required the coordinated expression of up to seven heterologous genes encoding desaturases and elongases from microalgae and other marine organisms. Although the accumulation of EPA and DHA in Camelina seeds has been well characterised, the impact of introducing such a complex pathway on endogenous seed metabolism remains largely unexplored. Here, we apply these two quantitative proteomics strategies to characterise the seed proteomes of elite EPA‑ and DHA‑producing Camelina lines. Our goals were to: 1. assess global proteomic changes associated with multigene engineering. 2. identify proteomic signatures associated with the differing oil‑yield penalties observed in EPA and DHA lines.
Project description:Camelina sativa (hereafter Camelina) has emerged as a promising platform for metabolic engineering due to its short lifecycle, high seed oil content, and amenability to transformation. Previous work has demonstrated the successful introduction of non‑native pathways for the synthesis of very long chain polyunsaturated fatty acids (VLC‑PUFAs), including eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). These achievements required the coordinated expression of up to seven heterologous genes encoding desaturases and elongases from microalgae and other marine organisms. Although the accumulation of EPA and DHA in Camelina seeds has been well characterised, the impact of introducing such a complex pathway on endogenous seed metabolism remains largely unexplored. Here, we apply these two quantitative proteomics strategies to characterise the seed proteomes of elite EPA‑ and DHA‑producing Camelina lines. Our goals were to: 1. assess global proteomic changes associated with multigene engineering. 2. identify proteomic signatures associated with the differing oil‑yield penalties observed in EPA and DHA lines. 3. quantify the (relative) abundance of transgene‑encoded enzymes relative to endogenous lipid biosynthetic proteins.
Project description:This study was performed to investigate assess the impacts of CO and/or CM containing diets on Atlantic salmon hepatic gene expression in order to identify candidate molecular biomarkers of responses to camelina-containing diets. Atlantic salmon were fed diets with complete or partial replacement of FO and/or FM with camelina oil (CO) and/or camelina meal (CM) in a 16-week trial (Control diet: FO; Test diet: 100% FO replacement with CO, with solvent-extracted FM and inclusion of 10% CM (100COSEFM10CM). A 44K microarray experiment identified liver transcripts that responded to 100COSEFM10CM (associated with reduced growth) compared to FO controls at week 16. Atlantic salmon were fed for 16 weeks with the FO or 100COSEFM10CM diet (three tanks per diet). Liver samples were taken from 7 fish from each tank at week 16. A universal reference design was used for the microarray experiment. For the test samples, RNA was used from individual livers of fish from the 2 treatment groups: FO and 100COSEFM10CM. For each treatment group we used 9 biological replicates (3 fish from each of 3 tanks). All test samples were labeled with Cy5. The common reference was a pool of 18 RNA samples from livers of fish from all individuals invovled in microarray experiment. The common reference was labeled with Cy3. Each individual test sample was hybridized together with the common reference sample on an array, so the experiment consisted of 18 arrays