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The distribution of berberine and sanguinarine was analyzed in roots, stems and leaves of mature Argemone mexicana plants, along with that of transcripts corresponding to selected genes involved in both early biosynthetic reactions, which are common to both alkaloids, and in the late specific reactions conducting to the formation of each of them. Roots were the main sites of alkaloid accumulation, though they showed the lowest accumulation of the analyzed transcripts. Results are discussed in terms of the operation of a possible transport mechanism of alkaloids between the aerial tissues and the roots, or the occurrence of different biosynthetic alternative reactions in both parts, aerial and underground tissues, involving different gene products, yet with similar catalytic capacities.

SUMMARY Biofuels have been shown to be a promising and highly attractive alternative for minimizing the use of fossil fuels, and microalgae have positioned themselves as potential candidates for production of lipids and other substances of commercial interest. We briefly review recent advances made in microalgae culture conditions and genetic manipulation for improving lipid yields for biofuel production – with both approaches showing similar yields of triacylglycerides, indicating that more work is required for improving lipid yield and accumulation in algae. Aiming at gaining knowledge of algae genetic manipulation and exploring future use of this information for modifying the lipid biosynthesis pathway, we investigated whether some characteristics of enzymes involved in lipid biosynthesis could relate to lipid yield and accumulation in algae. We made an in silico analysis of amino acid sequence of enzymatic domains and modeled tertiary structure of three proteins involved in the biosynthesis of lipids in microalgae: acetyl‐CoA carboxylase, Acyl‐CoA: diacylglycerol acyltransferase, and glycerol‐3‐phosphate acyltransferase. Our results suggest that, based on primary amino acid sequences and tertiary structure of proteins shared by certain algae, it is likely that these proteins may relate to lipid yield and accumulation, which makes bioinformatics a powerful tool for in silico study of proteins and for selecting genes involved in lipid biosynthesis that could be useful for heterologous transformation in algae with the long term objective of improving their yield, accumulation, and fatty acid composition by genetic engineering.