Contribution to the characterization of the seed endophyte microbiome of Argania spinosa across geographical locations in Central Morocco using metagenomic approaches.

Microbial endophytes are microorganisms that live inside plants, and some of them play important yet understudied roles in plant health, growth, and adaptation to environmental conditions. Their diversity within plants has traditionally been underestimated due to the limitations of culture-dependent techniques. Metagenomic profiling provides a culture-independent approach to characterize entire microbial communities. The argan tree (Argania spinosa) is ecologically and economically important in Morocco, yet its seed endophyte microbiome remains unexplored. This study aimed to compare the bacterial and fungal endophyte communities associated with argan seeds collected from six sites across Morocco using Illumina MiSeq sequencing of the 16S rRNA gene and ITS regions, respectively. Bacterial DNA was extracted from surface-sterilized seeds and amplified using universal primers, while fungal DNA was isolated directly from seeds. Bioinformatics analysis of sequencing data identified taxonomic profiles at the phylum to genus levels. The results indicated that bacterial communities were dominated by the genus Rhodoligotrophos, while fungal communities exhibited varying degrees of dominance between Ascomycota and Basidiomycota depending on site, with Penicillium being the most abundant overall. Distinct site-specific profiles were observed, with Pseudomonas, Bacillus, and Aspergillus present across multiple locations. Alpha diversity indices revealed variation in endophyte richness between seed sources. In conclusion, this first exploration of the argan seed endophyte microbiome demonstrated environmental influence on community structure. While facing limitations due to small sample sizes and lack of ecological metadata, it provides a foundation for future mechanistic investigations into how specific endophyte-host interactions shape argan adaptation across Morocco's diverse landscapes.

Development and application of a quantitative real-time PCR assay for rapid detection of the multifaceted yeast Kazachstania servazzii in food.

The beneficial contributions of Kazachstania servazzii are well-established in various food processes. This yeast also contributes in the spoilage of finished packaged food due to abundant gas production. In particular, an occurrence of K. servazzii was recently positively correlated with the formation of severe package swelling of some prepared fresh pizzas. To circumscribe this concern, a quantitative SYBR green real-time PCR assay based on a newly designed specific primer pair targeting the ribosomal ITS1-5.8S-ITS2 region of K. servazzii was developed. The quantification was enabled using a standard curve created from serially diluted plasmids containing the target sequence of the K. servazzii strain. A validation of the assay was achieved by enumeration of K. servazzii DNA copies from artificially infected culture broths containing non-contaminated pizza substrates. The newly developed method was then tested on total DNA extracted from packaged fresh pizzas, in which certain lots were swollen and thus suspected of containing K. servazzii. This study highlights that this newly developed quantitative assay is not only sufficiently sensitive, specific and reliable to be functionally used in food control as a routine method of detection, but also promising in specific studies that seek to further characterize the dynamic of this yeast in some increasingly popular food processes.