Aug 2026· Journal of Phycology· 0 citations· 38 references
Medicine
TL;DR
A pan-genome of 17 Nannochloropsis species comprising 14,851 gene families is constructed and a distinct genetic architecture for lipid metabolism is defined: Gene families associated with vesicular transport formed a conserved core functional module, whereas the genetic collection for lipid metabolism showed greater plasticity and was primarily classified as part of the soft-core genome.
Abstract
Nannochloropsis microalgae are widely recognized as sustainable cell factories for producing nutritional oils and biofuels due to their high-lipid content. However, a comprehensive understanding of the genetic basis of their oleaginous traits across diverse species has been limited. Here, we constructed a pan-genome of 17 Nannochloropsis species comprising 14,851 gene families. Our analysis defined a distinct genetic architecture for lipid metabolism: Gene families associated with vesicular transport formed a conserved core functional module, whereas the genetic collection for lipid metabolism showed greater plasticity and was primarily classified as part of the soft-core genome. This finding establishes a genetic blueprint for the coevolution between a stable cellular "logistics network" and an adaptable "biosynthetic factory." Evolutionary analysis further indicated that the DGAT and fatty acid desaturase families have species-specific expansions in Nannochloropsis, suggesting a potential role in enhancing lipid accumulation. By integrating 231 transcriptome datasets, we identified key genes (ACP2 and DGAT2) that were highly upregulated under nitrogen deprivation and pinpointed a set of core genes with high expression levels involved in vesicular transport. This "Infrastructure-Toolkit" model provides both genetic targets for strain improvement and a broader framework for understanding lipid accumulation in oleaginous microorganisms.
Understanding of the metabolic capabilities and genomic landscape of the P. fluorescens species is enhanced, providing a foundation for natural product discovery using bioinformatic approaches.
Sajid Iqbal, Farida Begum· Discover Genetics and Evolut...· 0 citations
A genomic framework for understanding the high glycosphingolipid-producing capacity of NKG400013 is established and insights into the evolutionary diversification of sphingolipid metabolism in green algae are provided.
Rein Yasui, Aoi Hosaka, N. Ogata et al.· DNA Research· 0 citations
This study elucidates the evolutionary trajectory and functional landscape of the wheat FIG superfamily, laying a theoretical foundation for the potential genetic improvement of photosynthetic efficiency and stress resilience in wheat.
Hui Wang, Jingjing Liang, Xiao Li et al.· BMC Plant Biology· 0 citations
Collectively, the NY strain achieves strong salinity tolerance by integrating genetic variation, transcriptional reprogramming and metabolic remodeling, synergistically maintaining ion homeostasis, osmotic balance and energy supply.
Jiahua Zhang, Min Zhang, Chungui Huang et al.· Marine Biotechnology· 0 citations
These findings provide new insights into the genomic basis of ecological adaptation and metabolic diversification in Pseudoalteromonas, supporting the role of pigmentation as a proxy for enhanced biosynthetic potential, while carbohydrate utilization capabilities evolve more independently and offering a framework for targeted bioprospecting of marine-derived metabolites with industrial and environmental applications.
Jéssica Scherer, Renato Kulakowski Corá, Diego Bonatto et al.· Marine Biotechnology· 0 citations
The first comprehensive species-wide pangenomic and systems-level analyses of B. sorokiniana are presented, providing vital insights into the evolutionary architecture of pathogenicity, adaptation, and genome diversification and providing a valuable genomic resource for disease surveillance and functional characterization of virulence determinants.
Anand Kumar Shukla, Narendra Y. Kadoo· bioRxiv· 0 citations