Baobab Index

Ovarian cancer is one of the leading causes of death from gynecological cancer worldwide. Genetic mutations in genes involved in key cellular functions such as BRCA1/2 play a central role in tumorigenesis and have major implications for targeted therapeutic strategies, especially the use of poly (ADP-ribose) polymerase (PARP) inhibitors. Herein, we described a case of a 50-year-old woman diagnosed with severe anemia secondary to heavy menometrorrhagia. Initial gynecological evaluation, including transvaginal ultrasound, was unremarkable, and endometrial biopsy was not indicated. Imaging revealed no ovarian abnormalities; however, exploratory laparotomy identified a peritoneal nodule, leading to further investigation. Targeted NGS was performed on somatic and germline DNA samples and showed a frame shift deletion of 10 bp (c.1256_1265del: p.R419Ter) in the BRCA1 gene. This variant, identified only in tumor tissues, is novel and classified as pathogenic in ClinVar and ACMG databases. Additional somatic alterations were detected in TP53 and MSH6, while germline testing revealed only a variant of uncertain significance in BARD1. After first-line chemotherapy, the patient benefited from olaparib and achieved a progression-free survival of 23 months with good tolerance and no evidence of disease recurrence. This finding highlights the importance of integrating tumor-based genomic profiling with germline testing to identify actionable mutations and guide precision oncology. The identification of a novel somatic BRCA1 mutation expands the mutational spectrum of HGSOC and underscores the need to include underrepresented populations, such as those from North Africa, in genomic studies.

The rapid growth of genomic sequencing demands fast, accurate, and scalable analysis methods. In viral genomic classification, expanding labeled reference collections can make supervised models costly to update and dependent on fixed label sets, motivating retrieval-based genomic classification as a simpler, more flexible alternative. We present a unified benchmark of supervised and retrieval-based methods for viral genomic sequence classification across three viral classification tasks: hepatitis C virus (HCV) genotyping, COVID-19 discrimination, and human papillomavirus (HPV) genotyping. We compare standard sequence encodings (one-hot, k-mers, FCGR) with dense embeddings (dna2vec, DNABERT). For each representation, we evaluate supervised classifiers (Random Forest, Decision Tree, XGBoost) and retrieval-based classification, where sequence vectors are indexed with FAISS and labels are assigned via similarity-weighted k-NN. Furthermore, we benchmark multiple FAISS index types (Flat, IVF, HNSW, IVFPQ, OPQ) to characterize accuracy-speed-memory trade-offs at scale. The results show that XGBoost and retrieval using Flat or IVF indexes achieve strong classification performance under different computational profiles. Compressed indexes such as IVFPQ and OPQ substantially reduce memory usage, although their accuracy loss depends on the dataset and representation. Overall, supervised XGBoost provides a favorable accuracy-size trade-off, while retrieval-based classification remains competitive and allows labeled reference sequences to be incorporated without retraining a global classifier. This benchmark provides practical guidance for selecting sequence representations, classifiers, and vector-search indexes under different accuracy, memory, and update requirements.

Plant fungal diseases cause significant agricultural losses, and Streptomyces-derived antifungal compounds offer a promising biocontrol strategy. This study aimed to isolate and characterize bioactive metabolites from Streptomyces syringium LZ036 and evaluate their activity and mechanism of action against Botrytis cinerea. A strain LZ036 with broad-spectrum antifungal activity was identified as Streptomyces syringium. The 3-(oxazole-5-yl) indole compound NL3 isolated from this strain exhibited potent broad-spectrum antifungal activity, especially against Botrytis cinerea. Compound NL3 inhibited fungal growth and development by inducing severe oxidative damage and membrane disruption. And it could trigger jasmonic acid (JA)-dependent induced systemic resistance (ISR) in plants. Transcriptomic analysis of compound NL3-treated Botrytis cinerea revealed genome-wide transcriptional alterations, including disruption of energy metabolism and mitochondrial function. Key genes related to mitogen-activated protein kinase (MAPK) signaling pathway down-regulated significantly, among which the catalytic S_TKc domain of Bcste7 exhibited a predicted interaction with compound NL3 through hydrophobic interactions and hydrogen bonding. The Streptomyces syringium-derived compound NL3 shows high potential as a green fungicide, acting through multiple mechanisms. These findings advance the development of Streptomyces-based antifungal agents. © 2026 Society of Chemical Industry.

The glucose-dependent insulinotropic polypeptide receptor (GIPR) is a major therapeutic target in type 2 diabetes and obesity. Missense variation in

Saline lakes are hypersensitive to changes in their water balance and therefore show amplified responses to climatic and land-use changes in their catchment. Despite often dramatic ecological impacts, saline lakes rank low on policy agendas as they are assumed to support few ecosystem services and low levels of biodiversity. Here, we challenge this view and evaluate ecosystem services and threatened species in 85 saline lakes distributed across the globe. We show that saline lakes support, additionally to threatened aquatic biota, a diverse range of red-listed terrestrial species that contribute together with a large beta diversity to their conservation value. Further, our results highlight that saline lakes provide a number of culturally and economically important ecosystem services but several of them are 'hidden' and difficult to quantify. We conclude our analysis with best-practice recommendations for sustainable management of saline lakes. Their local adaptation and implementation will be key for safeguarding biodiversity and ecosystem services of these valuable and highly sensitive ecosystems.

A study was conducted to determine the genetic diversity of Zambian indigenous cattle using microsatellites. In Zambia, cattle provide draft power, food, manure and generate income. DNA extraction followed the Qiagen protocol, and Arlequin V3.0 was used for data analysis. 72 unrelated animals from three regions, Eastern (Angoni), Southern (Tonga) and Western (Barotse), were sampled. 315 alleles observed were higher in TGLA 263 (106 bp) with 0.861, 0.824 and 0.753, BMS650 (160 bp) with 0.710 and SPS 115 (248 bp) with 0.581, 0.710 and 0.794 for Angoni, Tonga and Barotse, respectively. Effective allele frequency was 4.521 ± 0.351, 4.246 ± 0.299 and 3.888 ± 0.289 for Angoni, Tonga and Barotse, respectively. Global deficit of heterozygotes across populations (Fit) amounted to 4.2%. Overall mean deficit of heterozygotes (Fis = 1%), genetic differentiation among breeds (Fst = 3.2%),, and genetic flow between populations (Nm = 11.3) ranged from RM 067 (40.564) to BLI (3.016). Analysis of molecular variance revealed 2.7% genetic variation among populations and 97.3% within the cattle population, with a mean genetic diversity of 0.753. Structure analysis (PCoA) demonstrated the presence of two subpopulations in which all three populations are represented and these two groups showed evidence of substructuring. In the Bayesian analysis, Tonga and Barotse populations were clustered together, while the Angoni were separated from the rest of the populations in K = 2. There was no evidence of panmixia and linkage equilibrium; the VD (9.153) value is greater than L (5.929), indicating that the population was in equilibrium. This study presents a comprehensive genetic characterisation of indigenous cattle in Zambia, which is important for further studies.

Oxford Nanopore Technology (ONT) enables rapid, portable pathogen identification and antimicrobial resistance (AMR) detection, but the reliability of downstream genomic analyses is highly dependent on DNA extraction quality, particularly in resource-limited settings. This study comparatively evaluated four portable bacterial DNA extraction protocols derived from three commercial kits to determine their impact on nanopore sequencing performance, bioinformatics workflow completion, and field deployability. Six gram-negative bacterial isolates (

Dolutegravir resistance is increasingly reported in treatment-experienced people with HIV in low-income and middle-income countries. Resistance testing resources are sparse, and viral rebound often reflects adherence lapses rather than resistance. Efficient strategies are needed to target testing to individuals at highest risk. We evaluated a reflex laboratory approach using plasma dolutegravir exposure to guide resistance testing in routine care. In this prospective implementation study at two public-sector clinics in Johannesburg, South Africa, we analysed adults (aged ≥18 years) on dolutegravir-based antiretroviral therapy (ART) with viral rebound of 400 copies per mL or higher. From May 18, 2023, to Jan 10, 2025, we tested residual routine viral load samples for dolutegravir exposure using an enzyme immunoassay. If dolutegravir was detectable (≥20 ng/mL), we did reflex resistance testing on the same specimen; retrospective sequencing was done at study end for dolutegravir-undetectable samples. We modelled costs comparing the reflex approach with standard of care. We analysed 400 samples from 288 individuals; 160 (56%) were female and 128 (44%) male, the median age was 44 years (IQR 35-50), and 240 (83%) had previous non-dolutegravir ART exposure. Plasma dolutegravir was detectable in 108 (38%) participants. Among those with successful sequencing, dolutegravir resistance occurred in 13 (13%) of 102 participants with detectable dolutegravir and three (2%) of 138 with undetectable dolutegravir, yielding an overall prevalence of 6·7% dolutegravir resistance and a negative predictive value for absence of dolutegravir resistance of 97·8% (95% CI 93·5-99·5). Dolutegravir resistance was associated with detectable dolutegravir (odds ratio [OR] 3 [95% CI 1-9], p=0·031), nucleoside reverse transcriptase inhibitor mutations (OR 33 [4-264], p=0·0009), non-nucleoside reverse transcriptase inhibitor mutations (OR 17 [2-135], p=0·0068), or M184V (OR 20 [4-92], p=0·0002). Cost modelling showed a 23% reduction in monitoring cost per person using the reflex strategy after confirmed viraemia versus current national guidelines. Laboratory-initiated reflex plasma dolutegravir exposure testing provides an objective, cost-efficient strategy to predict the absence of dolutegravir resistance and supports adherence management, enabling timely, individualised treatment decisions. Reflex dolutegravir exposure testing could enhance clinical decision making, improve treatment outcomes, and strengthen HIV treatment and resistance monitoring algorithms in programmatic settings. The Amsterdam Dinner Foundation and Aidsfonds, the Netherlands Organisation for Scientific Research, ZonMw, and WOTRO.

Antimicrobial resistance (AMR) is one of the most urgent global health threats and is increasingly recognized as a One Health challenge driven by interactions among human, animal, and environmental reservoirs. Central to the emergence and dissemination of AMR across these interfaces are mobile genetic elements (MGEs), which form an interconnected mobilome capable of transferring resistance genes across bacterial taxa and ecological niches. These elements facilitate the accumulation and spread of multidrug resistance determinants and are shaped by co-selective pressures operating at the animal-environment-human interface. Despite their critical role, genomic surveillance of MGEs remains limited, particularly in high-burden regions such as Africa. This narrative review synthesizes evidence from published genomic surveillance studies, primarily whole-genome sequencing-based analyses, to examine the distribution and dynamics of AMR genes and MGEs across One Health interfaces. We highlight animal-environmental systems as major hotspots for mobilome-driven resistance dissemination and also evaluate key advances, methodological approaches, and persistent surveillance challenges and gaps specific across Africa. By integrating findings from diverse genomic studies, and highlighting key lessons and implementation gaps from One Health studies across Africa, this review underscores the need for coordinated One Health surveillance strategies to better capture mobilome dynamics and inform sustainable AMR control efforts.

Sustainable crop development aims to maintain or increase yields while reducing environmental impact and managing the challenges imposed by climate change. As the global population grows and arable land becomes scarcer, the integration of molecular breeding with bioinformatics has emerged as an effective strategy for long-term crop improvement. Bioinformatics enables researchers to analyze and interpret the vast quantities of genetic data generated by high-throughput sequencing, making it possible to identify molecular markers, candidate genes, and regulatory networks linked to specific agronomic traits, which breeders then translate into focused, ecologically sustainable breeding programs. This approach has enabled major progress across several fronts: the identification of genes conferring resistance to biotic stressors (pests, pathogens) and abiotic stressors (drought, salinity, heat); the development of nutrient-efficient, low-input crop varieties; the improvement of agronomic performance and nutritional quality through identification of yield- and quality-related genes; and the conservation and deployment of genetic diversity to safeguard long-term breeding sustainability. By combining genomic data with precision breeding techniques, researchers are developing crops that are better adapted to a growing population and a changing climate, positioning the integration of molecular breeding and bioinformatics as a central pillar of future global food security.